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1. Cosmological constraints from the tomography of DES-Y3 galaxies with CMB lensing from ACT DR4

Author: Marques, G, Madhavacheril, M, Darwish, O, Shaikh, S, Aguena, M, Alves, O, Avila, S, Bacon, D, Baxter, E, Bechtol, K, Becker, M, Bertin, E, Blazek, J, Richard Bond, J, Brooks, D, Cai, H, Calabrese, E, Carnero Rosell, A, Carrasco Kind, M, Carretero, J, Cawthon, R, Crocce, M, da Costa, L, Pereira, M, De Vicente, J, Desai, S, Diehl, H, Doel, P, Doux, C, Drlica-Wagner, A, Dunkley, J, Elvin-Poole, J, Everett, S, Ferraro, S, Ferrero, I, Flaugher, B, Fosalba, P, Garcia-Bellido, J, Gatti, M, Giannini, G, Gluscevic, V, Gruen, D, Gruendl, R, Gutierrez, G, Harrison, I, Colin Hill, J, Hinton, S, Hollowood, D, Honscheid, K, Huterer, D, Jeffrey, N, Kim, J, Kuehn, K, Lahav, O, Lemos, P, Lima, M, Huffenberger, K, Maccrann, N, Marshall, J, Mena-Fernandez, J, Miquel, R, Mohr, J, Moodley, K, Muir, J, Naess, S, Nati, F, Page, L, Palmese, A, Plazas Malagon, A, Porredon, A, Prat, J, Qu, F, Raveri, M, Ross, A, Rykoff, E, Farren, G, Samuroff, S, Sanchez, E, Schubnell, M, Sehgal, N, Sevilla-Noarbe, I, Sheldon, E, Sherwin, B, Sifon, C, Smith, M, Spergel, D, Staggs, S, Suchyta, E, Tarle, G, To, C, Van Engelen, A, Weaverdyck, N, Weller, J, Wenzl, L, Wiseman, P, Wollack, E, Yanny, B, Marques G., Madhavacheril M., Darwish O., Shaikh S., Aguena M., Alves O., Avila S., Bacon D., Baxter E., Bechtol K., Becker M., Bertin E., Blazek J., Richard Bond J., Brooks D., Cai H., Calabrese E., Carnero Rosell A., Carrasco Kind M., Carretero J., Cawthon R., Crocce M., da Costa L., Pereira M., De Vicente J., Desai S., Diehl H., Doel P., Doux C., Drlica-Wagner A., Dunkley J., Elvin-Poole J., Everett S., Ferraro S., Ferrero I., Flaugher B., Fosalba P., Garcia-Bellido J., Gatti M., Giannini G., Gluscevic V., Gruen D., Gruendl R., Gutierrez G., Harrison I., Colin Hill J., Hinton S., Hollowood D., Honscheid K., Huterer D., Jeffrey N., Kim J., Kuehn K., Lahav O., Lemos P., Lima M., Huffenberger K., MacCrann N., Marshall J., Mena-Fernandez J., Miquel R., Mohr J., Moodley K., Muir J., Naess S., Nati F., Page L., Palmese A., Plazas Malagon A., Porredon A., Prat J., Qu F., Raveri M., Ross A., Rykoff E., Farren G., Samuroff S., Sanchez E., Schubnell M., Sehgal N., Sevilla-Noarbe I., Sheldon E., Sherwin B., Sifon C., Smith M., Spergel D., Staggs S., Suchyta E., Tarle G., To C., Van Engelen A., Weaverdyck N., Weller J., Wenzl L., Wiseman P., Wollack E., Yanny B., Marques, G, Madhavacheril, M, Darwish, O, Shaikh, S, Aguena, M, Alves, O, Avila, S, Bacon, D, Baxter, E, Bechtol, K, Becker, M, Bertin, E, Blazek, J, Richard Bond, J, Brooks, D, Cai, H, Calabrese, E, Carnero Rosell, A, Carrasco Kind, M, Carretero, J, Cawthon, R, Crocce, M, da Costa, L, Pereira, M, De Vicente, J, Desai, S, Diehl, H, Doel, P, Doux, C, Drlica-Wagner, A, Dunkley, J, Elvin-Poole, J, Everett, S, Ferraro, S, Ferrero, I, Flaugher, B, Fosalba, P, Garcia-Bellido, J, Gatti, M, Giannini, G, Gluscevic, V, Gruen, D, Gruendl, R, Gutierrez, G, Harrison, I, Colin Hill, J, Hinton, S, Hollowood, D, Honscheid, K, Huterer, D, Jeffrey, N, Kim, J, Kuehn, K, Lahav, O, Lemos, P, Lima, M, Huffenberger, K, Maccrann, N, Marshall, J, Mena-Fernandez, J, Miquel, R, Mohr, J, Moodley, K, Muir, J, Naess, S, Nati, F, Page, L, Palmese, A, Plazas Malagon, A, Porredon, A, Prat, J, Qu, F, Raveri, M, Ross, A, Rykoff, E, Farren, G, Samuroff, S, Sanchez, E, Schubnell, M, Sehgal, N, Sevilla-Noarbe, I, Sheldon, E, Sherwin, B, Sifon, C, Smith, M, Spergel, D, Staggs, S, Suchyta, E, Tarle, G, To, C, Van Engelen, A, Weaverdyck, N, Weller, J, Wenzl, L, Wiseman, P, Wollack, E, Yanny, B, Marques G., Madhavacheril M., Darwish O., Shaikh S., Aguena M., Alves O., Avila S., Bacon D., Baxter E., Bechtol K., Becker M., Bertin E., Blazek J., Richard Bond J., Brooks D., Cai H., Calabrese E., Carnero Rosell A., Carrasco Kind M., Carretero J., Cawthon R., Crocce M., da Costa L., Pereira M., De Vicente J., Desai S., Diehl H., Doel P., Doux C., Drlica-Wagner A., Dunkley J., Elvin-Poole J., Everett S., Ferraro S., Ferrero I., Flaugher B., Fosalba P., Garcia-Bellido J., Gatti M., Giannini G., Gluscevic V., Gruen D., Gruendl R., Gutierrez G., Harrison I., Colin Hill J., Hinton S., Hollowood D., Honscheid K., Huterer D., Jeffrey N., Kim J., Kuehn K., Lahav O., Lemos P., Lima M., Huffenberger K., MacCrann N., Marshall J., Mena-Fernandez J., Miquel R., Mohr J., Moodley K., Muir J., Naess S., Nati F., Page L., Palmese A., Plazas Malagon A., Porredon A., Prat J., Qu F., Raveri M., Ross A., Rykoff E., Farren G., Samuroff S., Sanchez E., Schubnell M., Sehgal N., Sevilla-Noarbe I., Sheldon E., Sherwin B., Sifon C., Smith M., Spergel D., Staggs S., Suchyta E., Tarle G., To C., Van Engelen A., Weaverdyck N., Weller J., Wenzl L., Wiseman P., Wollack E., and Yanny B.
Published: 2024

2. The Dark Energy Survey Supernova Program : Light Curves and 5 Yr Data Release

Author: Sánchez, B. O., Brout, D., Vincenzi, M., Sako, M., Herner, K., Kessler, R., Davis, T. M., Scolnic, D., Acevedo, M., Lee, J., Möller, A., Qu, H., Kelsey, L., Wiseman, P., Armstrong, P., Rose, B., Camilleri, R., Chen, R., Galbany, L., Kovacs, E., Lidman, C., Popovic, B., Smith, M., Shah, P., Sullivan, M., Toy, M., Abbott, T. M. C., Aguena, M., Allam, S., Alves, O., Annis, J., Asorey, J., Avila, S., Bacon, D., Brooks, D., Burke, D. L., Carnero Rosell, A., Carollo, D., Carretero, J., da Costa, L. N., Castander, F. J., Desai, S., Diehl, H. T., Duarte, J., Everett, S., Ferrero, I., Flaugher, B., Frieman, J., García-Bellido, J., Gatti, M., Gaztanaga, E., Giannini, G., Glazebrook, K., González-Gaitán, S., Gruendl, R. A., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Lahav, O., Lee, S., Lewis, G. F., Lin, H., Marshall, J. L., Mena-Fernández, J., Miquel, R., Myles, J., Nichol, R. C., Ogando, R. L. C., Palmese, A., Pereira, M. E. S., Pieres, A., Malagón, A. A. Plazas, Porredon, A., Romer, A. K., Sanchez, E., Sanchez Cid, D., Sevilla-Noarbe, I., Suchyta, E., Swanson, M. E. C., Tarle, G., Tucker, B. E., Tucker, D. L., Vikram, V., Walker, A. R., Weaverdyck, N., Sánchez, B. O., Brout, D., Vincenzi, M., Sako, M., Herner, K., Kessler, R., Davis, T. M., Scolnic, D., Acevedo, M., Lee, J., Möller, A., Qu, H., Kelsey, L., Wiseman, P., Armstrong, P., Rose, B., Camilleri, R., Chen, R., Galbany, L., Kovacs, E., Lidman, C., Popovic, B., Smith, M., Shah, P., Sullivan, M., Toy, M., Abbott, T. M. C., Aguena, M., Allam, S., Alves, O., Annis, J., Asorey, J., Avila, S., Bacon, D., Brooks, D., Burke, D. L., Carnero Rosell, A., Carollo, D., Carretero, J., da Costa, L. N., Castander, F. J., Desai, S., Diehl, H. T., Duarte, J., Everett, S., Ferrero, I., Flaugher, B., Frieman, J., García-Bellido, J., Gatti, M., Gaztanaga, E., Giannini, G., Glazebrook, K., González-Gaitán, S., Gruendl, R. A., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Lahav, O., Lee, S., Lewis, G. F., Lin, H., Marshall, J. L., Mena-Fernández, J., Miquel, R., Myles, J., Nichol, R. C., Ogando, R. L. C., Palmese, A., Pereira, M. E. S., Pieres, A., Malagón, A. A. Plazas, Porredon, A., Romer, A. K., Sanchez, E., Sanchez Cid, D., Sevilla-Noarbe, I., Suchyta, E., Swanson, M. E. C., Tarle, G., Tucker, B. E., Tucker, D. L., Vikram, V., Walker, A. R., and Weaverdyck, N.
Abstract: We present griz photometric light curves for the full 5 yr of the Dark Energy Survey Supernova (DES-SN) program, obtained with both forced point-spread function photometry on difference images (DiffImg) performed during survey operations, and scene modelling photometry (SMP) on search images processed after the survey. This release contains 31,636 DiffImg and 19,706 high-quality SMP light curves, the latter of which contain 1635 photometrically classified SNe that pass cosmology quality cuts. This sample spans the largest redshift (z) range ever covered by a single SN survey (0.1 < z < 1.13) and is the largest single sample from a single instrument of SNe ever used for cosmological constraints. We describe in detail the improvements made to obtain the final DES-SN photometry and provide a comparison to what was used in the 3 yr DES-SN spectroscopically confirmed Type Ia SN sample. We also include a comparative analysis of the performance of the SMP photometry with respect to the real-time DiffImg forced photometry and find that SMP photometry is more precise, more accurate, and less sensitive to the host-galaxy surface brightness anomaly. The public release of the light curves and ancillary data can be found at github.com/des-science/DES-SN5YR and doi:10.5281/zenodo.12720777.
Published: 2024

3. Modelling the impact of host galaxy dust on type Ia supernova distance measurements

Author: Popovic, B, Wiseman, P, Sullivan, M, Smith, M, González-Gaitán, S, Scolnic, D, Duarte, J, Armstrong, P, Asorey, J, Brout, D, Carollo, D, Galbany, L, Glazebrook, K, Kelsey, L, Kessler, R, Lidman, C, Lee, J, Lewis, G F, Möller, A, Nichol, R C, Sánchez, B O, Toy, M, Tucker, B E, Vincenzi, M, Abbott, T M C, Aguena, M, Andrade-Oliveira, F, Bacon, D, Brooks, D, Burke, D L, Carnero Rosell, A, Carretero, J, Castander, F J, da Costa, L N, Pereira, M E S, Davis, T M, Desai, S, Everett, S, Ferrero, I, Flaugher, B, García-Bellido, J, Gaztanaga, E, Gruendl, R A, Gutierrez, G, Hinton, S R, Hollowood, D L, Honscheid, K, James, D J, Kuehn, K, Lahav, O, Lee, S, Marshall, J L, Mena-Fernández, J, Miquel, R, Myles, J, Ogando, R L C, Palmese, A, Pieres, A, Plazas Malagón, A A, Sanchez, E, Sanchez Cid, D, Schubnell, M, Sevilla-Noarbe, I, Suchyta, E, Swanson, M E C, Tarle, G, Vikram, V, Weaverdyck, N, Popovic, B, Wiseman, P, Sullivan, M, Smith, M, González-Gaitán, S, Scolnic, D, Duarte, J, Armstrong, P, Asorey, J, Brout, D, Carollo, D, Galbany, L, Glazebrook, K, Kelsey, L, Kessler, R, Lidman, C, Lee, J, Lewis, G F, Möller, A, Nichol, R C, Sánchez, B O, Toy, M, Tucker, B E, Vincenzi, M, Abbott, T M C, Aguena, M, Andrade-Oliveira, F, Bacon, D, Brooks, D, Burke, D L, Carnero Rosell, A, Carretero, J, Castander, F J, da Costa, L N, Pereira, M E S, Davis, T M, Desai, S, Everett, S, Ferrero, I, Flaugher, B, García-Bellido, J, Gaztanaga, E, Gruendl, R A, Gutierrez, G, Hinton, S R, Hollowood, D L, Honscheid, K, James, D J, Kuehn, K, Lahav, O, Lee, S, Marshall, J L, Mena-Fernández, J, Miquel, R, Myles, J, Ogando, R L C, Palmese, A, Pieres, A, Plazas Malagón, A A, Sanchez, E, Sanchez Cid, D, Schubnell, M, Sevilla-Noarbe, I, Suchyta, E, Swanson, M E C, Tarle, G, Vikram, V, and Weaverdyck, N
Abstract: Type Ia Supernovae (SNe Ia) are a critical tool in measuring the accelerating expansion of the universe. Recent efforts to improve these standard candles have focused on incorporating the effects of dust on distance measurements with SNe Ia. In this paper, we use the state-of-the-art Dark Energy Survey 5 year sample to evaluate two different families of dust models: empirical extinction models derived from SNe Ia data and physical attenuation models from the spectra of galaxies. In this work, we use realistic simulations of SNe Ia to forward-model different models of dust and compare summary statistics in order to test different assumptions and impacts on SNe Ia data. Among the SNe Ia-derived models, we find that a logistic function of the total-to-selective extinction $R_V$ best recreates the correlations between supernova distance measurements and host galaxy properties, though an additional 0.02 mag of grey scatter is needed to fully explain the scatter in SNIa brightness in all cases. These empirically derived extinction distributions are highly incompatible with the physical attenuation models from galactic spectral measurements. From these results, we conclude that SNe Ia must either preferentially select extreme ends of galactic dust distributions, or that the characterization of dust along the SNe Ia line-of-sight is incompatible with that of galactic dust distributions.
Published: 2024

4. The SRG/eROSITA All-Sky Survey : Dark Energy Survey year 3 weak gravitational lensing by eRASS1 selected galaxy clusters

Author: Grandis, S., Ghirardini, V., Bocquet, S., Garrel, C., Mohr, J. J., Liu, A., Kluge, M., Kimmig, L., Reiprich, T. H., Alarcon, Alvaro, Amon, A., Artis, E., Bahar, Y. E., Balzer, F., Bechtol, K., Becker, M. R., Bernstein, G., Bulbul, E., Campos, A., Rosell, A. Carnero, Kind, M. Carrasco, Cawthon, R., Chang, C., Chen, R., Chiu, I., Choi, A., Clerc, N., Comparat, J., Cordero, J., Davis, C., Derose, J., Diehl, H. T., Dodelson, S., Doux, C., Drlica-Wagner, A., Eckert, K., Elvin-Poole, J., Everett, S., Ferte, A., Gatti, M., Giannini, G., Giles, P., Gruen, D., Gruendl, R. A., Harrison, I., Hartley, W. G., Herner, K., Huff, E. M., Kleinebreil, F., Kuropatkin, N., Leget, P. F., Maccrann, N., Mccullough, J., Merloni, A., Myles, J., Nandra, K., Navarro-Alsina, A., Okabe, N., Pacaud, F., Pandey, S., Prat, J., Predehl, P., Ramos, M., Raveri, M., Rollins, R. P., Roodman, A., Ross, A. J., Rykoff, E. S., Sanchez, C., Sanders, J., Schrabback, T., Secco, L. F., Seppi, R., Sevilla-Noarbe, I., Sheldon, E., Shin, T., Troxel, M., Tutusaus, I., Varga, T. N., Wu, H., Yanny, B., Yin, B., Zhang, X., Zhang, Y., Alves, O., Bhargava, S., Brooks, D., Burke, D. L., Carretero, J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Doel, P., Ferrero, I., Flaugher, B., Friedel, D., Frieman, J., Garcia-Bellido, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Jeffrey, N., Lahav, O., Lee, S., Marshall, J. L., Menanteau, F., Ogando, R. L. C., Pieres, A., Malagon, A. A. Plazas, Romer, A. K., Sanchez, E., Schubnell, M., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Weaverdyck, N., Weller, J., Grandis, S., Ghirardini, V., Bocquet, S., Garrel, C., Mohr, J. J., Liu, A., Kluge, M., Kimmig, L., Reiprich, T. H., Alarcon, Alvaro, Amon, A., Artis, E., Bahar, Y. E., Balzer, F., Bechtol, K., Becker, M. R., Bernstein, G., Bulbul, E., Campos, A., Rosell, A. Carnero, Kind, M. Carrasco, Cawthon, R., Chang, C., Chen, R., Chiu, I., Choi, A., Clerc, N., Comparat, J., Cordero, J., Davis, C., Derose, J., Diehl, H. T., Dodelson, S., Doux, C., Drlica-Wagner, A., Eckert, K., Elvin-Poole, J., Everett, S., Ferte, A., Gatti, M., Giannini, G., Giles, P., Gruen, D., Gruendl, R. A., Harrison, I., Hartley, W. G., Herner, K., Huff, E. M., Kleinebreil, F., Kuropatkin, N., Leget, P. F., Maccrann, N., Mccullough, J., Merloni, A., Myles, J., Nandra, K., Navarro-Alsina, A., Okabe, N., Pacaud, F., Pandey, S., Prat, J., Predehl, P., Ramos, M., Raveri, M., Rollins, R. P., Roodman, A., Ross, A. J., Rykoff, E. S., Sanchez, C., Sanders, J., Schrabback, T., Secco, L. F., Seppi, R., Sevilla-Noarbe, I., Sheldon, E., Shin, T., Troxel, M., Tutusaus, I., Varga, T. N., Wu, H., Yanny, B., Yin, B., Zhang, X., Zhang, Y., Alves, O., Bhargava, S., Brooks, D., Burke, D. L., Carretero, J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Doel, P., Ferrero, I., Flaugher, B., Friedel, D., Frieman, J., Garcia-Bellido, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Jeffrey, N., Lahav, O., Lee, S., Marshall, J. L., Menanteau, F., Ogando, R. L. C., Pieres, A., Malagon, A. A. Plazas, Romer, A. K., Sanchez, E., Schubnell, M., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Weaverdyck, N., and Weller, J.
Abstract: Context. Number counts of galaxy clusters across redshift are a powerful cosmological probe if a precise and accurate reconstruction of the underlying mass distribution is performed - a challenge called mass calibration. With the advent of wide and deep photometric surveys, weak gravitational lensing (WL) by clusters has become the method of choice for this measurement. Aims. We measured and validated the WL signature in the shape of galaxies observed in the first three years of the Dark Energy Survey (DES Y3) caused by galaxy clusters and groups selected in the first all-sky survey performed by SRG (Spectrum Roentgen Gamma)/eROSITA (eRASS1). These data were then used to determine the scaling between the X-ray photon count rate of the clusters and their halo mass and redshift. Methods. We empirically determined the degree of cluster member contamination in our background source sample. The individual cluster shear profiles were then analyzed with a Bayesian population model that self-consistently accounts for the lens sample selection and contamination and includes marginalization over a host of instrumental and astrophysical systematics. To quantify the accuracy of the mass extraction of that model, we performed mass measurements on mock cluster catalogs with realistic synthetic shear profiles. This allowed us to establish that hydrodynamical modeling uncertainties at low lens redshifts (z < 0.6) are the dominant systematic limitation. At high lens redshift, the uncertainties of the sources' photometric redshift calibration dominate. Results. With regard to the X-ray count rate to halo mass relation, we determined its amplitude, its mass trend, the redshift evolution of the mass trend, the deviation from self-similar redshift evolution, and the intrinsic scatter around this relation. Conclusions. The mass calibration analysis performed here sets the stage for a joint analysis with the number counts of eRASS1 clusters to constrain a host of cosmological param, Funding Agencies|soft X-ray instrument aboard SRG, a joint Russian-German science mission; Russian Space Agency (Roskosmos); Deutsches Zentrum fur Luft und Raumfahrt (DLR); Max Planck Institute for Extraterrestrial Physics (MPE); University of Hamburg Observatory; Leibniz Institute for Astrophysics Potsdam (AIP); DLR; Max Planck Society; Argelander Institute for Astronomy of the University of Bonn; German eROSITA consortium; U.S. Department of Energy; U.S. National Science Foundation; Ministry of Science and Education of Spain; Council of the United Kingdom; Higher Education Funding Council for England; National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign; Center for Cosmology and Astro-Particle Physics at the Ohio State University; Mitchell Institute for Fundamental Physics and Astronomy at Texas AM University; Financiadora de Estudos e Projetos; Fundacao Carlos Chagas Filho de Amparo a Pesquisa do Estado do Rio de Janeiro; Conselho Nacional de Desenvolvimento Cientifico e Tecnologico; Deutsche Forschungsgemeinschaft; Collaborating Institutions in the Dark Energy Survey; University of California at Santa Cruz; University of Cambridge, Centro de Investigaciones Energeticas, Medioambientales y Tecnologicas-Madrid; DES-Brazil Consortium; University of Edinburgh; Eidgenossische Technische Hochschule (ETH) Zurich; Institut de Ciencies de l'Espai (IEEC/CSIC); OzDES Membership Consortium; University of Portsmouth; Texas AM University; Association of Universities for Research in Astronomy (AURA); National Science Foundation; European Research Council (ERC) Consolidator Grant under the European Union [101002585]; COMPLEX project from the European Research Council (ERC) under the European Union [ERC-2019-AdG 882679]; JSPS KAKENHI [JP19KK0076]; German Research Foundation (DFG) [415537506]; Austrian Research Promotion Agency (FFG); Federal Ministry of the Republic of Austria for Climate Action, Environment, Mobility, Innovation a
Published: 2024
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5. Weak lensing combined with the kinetic Sunyaev Zel'dovich effect: A study of baryonic feedback

Author: Bigwood, L., Amon, A., Schneider, A., Salcido, J., McCarthy, I. G., Preston, C., Sanchez, D., Sijacki, D., Schaan, E., Ferraro, S., Battaglia, N., Chen, A., Dodelson, S., Roodman, A., Pieres, A., Ferte, A., Alarcon, A., Drlica-Wagner, A., Choi, A., Navarro-Alsina, A., Campos, A., Ross, A. J., Rosell, A. Carnero, Yin, B., Yanny, B., Sanchez, C., Chang, C., Davis, C., Doux, C., Gruen, D., Rykoff, E. S., Huff, E. M., Sheldon, E., Tarsitano, F., Andrade-Oliveira, F., Bernstein, G. M., Giannini, G., Diehl, H. T., Huang, H., Harrison, I., Sevilla-Noarbe, I., Tutusaus, I., Elvin-Poole, J., McCullough, J., Zuntz, J., Blazek, J., DeRose, J., Cordero, J., Prat, J., Myles, J., Eckert, K., Bechtol, K., Herner, K., Secco, L. F., Gatti, M., Raveri, M., Kind, M. Carrasco, Becker, M. R., Troxel, M. A., Jarvis, M., MacCrann, N., Friedrich, O., Alves, O., Leget, P. -F., Chen, R., Rollins, R. P., Wechsler, R. H., Gruendl, R. A., Cawthon, R., Allam, S., Bridle, S. L., Pandey, S., Everett, S., Shin, T., Hartley, W. G., Fang, X., Zhang, Y., Aguena, M., Annis, J., Bacon, D., Bertin, E., Bocquet, S., Brooks, D., Carretero, J., Castander, F. J., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Doel, P., Ferrero, I., Flaugher, B., Frieman, J., Garcia-Bellido, J., Gaztanaga, E., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huterer, D., James, D. J., Kuehn, K., Lahav, O., Lee, S., Marshall, J. L., Mena-Fernandez, J., Miquel, R., Muir, J., Paterno, M., Malagon, A. A. Plazas, Porredon, A., Romer, A. K., Samuroff, S., Sanchez, E., Cid, D. Sanchez, Smith, M., Soares-Santos, M., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Weaverdyck, N., Weller, J., Wiseman, P., Yamamoto, M., Bigwood, L., Amon, A., Schneider, A., Salcido, J., McCarthy, I. G., Preston, C., Sanchez, D., Sijacki, D., Schaan, E., Ferraro, S., Battaglia, N., Chen, A., Dodelson, S., Roodman, A., Pieres, A., Ferte, A., Alarcon, A., Drlica-Wagner, A., Choi, A., Navarro-Alsina, A., Campos, A., Ross, A. J., Rosell, A. Carnero, Yin, B., Yanny, B., Sanchez, C., Chang, C., Davis, C., Doux, C., Gruen, D., Rykoff, E. S., Huff, E. M., Sheldon, E., Tarsitano, F., Andrade-Oliveira, F., Bernstein, G. M., Giannini, G., Diehl, H. T., Huang, H., Harrison, I., Sevilla-Noarbe, I., Tutusaus, I., Elvin-Poole, J., McCullough, J., Zuntz, J., Blazek, J., DeRose, J., Cordero, J., Prat, J., Myles, J., Eckert, K., Bechtol, K., Herner, K., Secco, L. F., Gatti, M., Raveri, M., Kind, M. Carrasco, Becker, M. R., Troxel, M. A., Jarvis, M., MacCrann, N., Friedrich, O., Alves, O., Leget, P. -F., Chen, R., Rollins, R. P., Wechsler, R. H., Gruendl, R. A., Cawthon, R., Allam, S., Bridle, S. L., Pandey, S., Everett, S., Shin, T., Hartley, W. G., Fang, X., Zhang, Y., Aguena, M., Annis, J., Bacon, D., Bertin, E., Bocquet, S., Brooks, D., Carretero, J., Castander, F. J., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Doel, P., Ferrero, I., Flaugher, B., Frieman, J., Garcia-Bellido, J., Gaztanaga, E., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huterer, D., James, D. J., Kuehn, K., Lahav, O., Lee, S., Marshall, J. L., Mena-Fernandez, J., Miquel, R., Muir, J., Paterno, M., Malagon, A. A. Plazas, Porredon, A., Romer, A. K., Samuroff, S., Sanchez, E., Cid, D. Sanchez, Smith, M., Soares-Santos, M., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Weaverdyck, N., Weller, J., Wiseman, P., and Yamamoto, M.
Abstract: Extracting precise cosmology from weak lensing surveys requires modelling the non-linear matter power spectrum, which is suppressed at small scales due to baryonic feedback processes. However, hydrodynamical galaxy formation simulations make widely varying predictions for the amplitude and extent of this effect. We use measurements of Dark Energy Survey Year 3 weak lensing (WL) and Atacama Cosmology Telescope DR5 kinematic Sunyaev-Zel'dovich (kSZ) to jointly constrain cosmological and astrophysical baryonic feedback parameters using a flexible analytical model, `baryonification'. First, using WL only, we compare the $S_8$ constraints using baryonification to a simulation-calibrated halo model, a simulation-based emulator model and the approach of discarding WL measurements on small angular scales. We find that model flexibility can shift the value of $S_8$ and degrade the uncertainty. The kSZ provides additional constraints on the astrophysical parameters and shifts $S_8$ to $S_8=0.823^{+0.019}_{-0.020}$, a higher value than attained using the WL-only analysis. We measure the suppression of the non-linear matter power spectrum using WL + kSZ and constrain a mean feedback scenario that is more extreme than the predictions from most hydrodynamical simulations. We constrain the baryon fractions and the gas mass fractions and find them to be generally lower than inferred from X-ray observations and simulation predictions. We conclude that the WL + kSZ measurements provide a new and complementary benchmark for building a coherent picture of the impact of gas around galaxies across observations.
Published: 2024

6. Dark Energy Survey Year 3 results: likelihood-free, simulation-based $w$CDM inference with neural compression of weak-lensing map statistics

Author: Jeffrey, N., Whiteway, L., Gatti, M., Williamson, J., Alsing, J., Porredon, A., Prat, J., Doux, C., Jain, B., Chang, C., Cheng, T. -Y., Kacprzak, T., Lemos, P., Alarcon, A., Amon, A., Bechtol, K., Becker, M. R., Bernstein, G. M., Campos, A., Rosell, A. Carnero, Chen, R., Choi, A., DeRose, J., Drlica-Wagner, A., Eckert, K., Everett, S., Ferté, A., Gruen, D., Gruendl, R. A., Herner, K., Jarvis, M., McCullough, J., Myles, J., Navarro-Alsina, A., Pandey, S., Raveri, M., Rollins, R. P., Rykoff, E. S., Sánchez, C., Secco, L. F., Sevilla-Noarbe, I., Sheldon, E., Shin, T., Troxel, M. A., Tutusaus, I., Varga, T. N., Yanny, B., Yin, B., Zuntz, J., Aguena, M., Allam, S. S., Alves, O., Bacon, D., Bocquet, S., Brooks, D., da Costa, L. N., Davis, T. M., De Vicente, J., Desai, S., Diehl, H. T., Ferrero, I., Frieman, J., García-Bellido, J., Gaztanaga, E., Giannini, G., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huterer, D., James, D. J., Lahav, O., Lee, S., Marshall, J. L., Mena-Fernández, J., Miquel, R., Pieres, A., Malagón, A. A. Plazas, Roodman, A., Sako, M., Sanchez, E., Cid, D. Sanchez, Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Tucker, D. L., Weaverdyck, N., Weller, J., Wiseman, P., Yamamoto, M., Jeffrey, N., Whiteway, L., Gatti, M., Williamson, J., Alsing, J., Porredon, A., Prat, J., Doux, C., Jain, B., Chang, C., Cheng, T. -Y., Kacprzak, T., Lemos, P., Alarcon, A., Amon, A., Bechtol, K., Becker, M. R., Bernstein, G. M., Campos, A., Rosell, A. Carnero, Chen, R., Choi, A., DeRose, J., Drlica-Wagner, A., Eckert, K., Everett, S., Ferté, A., Gruen, D., Gruendl, R. A., Herner, K., Jarvis, M., McCullough, J., Myles, J., Navarro-Alsina, A., Pandey, S., Raveri, M., Rollins, R. P., Rykoff, E. S., Sánchez, C., Secco, L. F., Sevilla-Noarbe, I., Sheldon, E., Shin, T., Troxel, M. A., Tutusaus, I., Varga, T. N., Yanny, B., Yin, B., Zuntz, J., Aguena, M., Allam, S. S., Alves, O., Bacon, D., Bocquet, S., Brooks, D., da Costa, L. N., Davis, T. M., De Vicente, J., Desai, S., Diehl, H. T., Ferrero, I., Frieman, J., García-Bellido, J., Gaztanaga, E., Giannini, G., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huterer, D., James, D. J., Lahav, O., Lee, S., Marshall, J. L., Mena-Fernández, J., Miquel, R., Pieres, A., Malagón, A. A. Plazas, Roodman, A., Sako, M., Sanchez, E., Cid, D. Sanchez, Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Tucker, D. L., Weaverdyck, N., Weller, J., Wiseman, P., and Yamamoto, M.
Abstract: We present simulation-based cosmological $w$CDM inference using Dark Energy Survey Year 3 weak-lensing maps, via neural data compression of weak-lensing map summary statistics: power spectra, peak counts, and direct map-level compression/inference with convolutional neural networks (CNN). Using simulation-based inference, also known as likelihood-free or implicit inference, we use forward-modelled mock data to estimate posterior probability distributions of unknown parameters. This approach allows all statistical assumptions and uncertainties to be propagated through the forward-modelled mock data; these include sky masks, non-Gaussian shape noise, shape measurement bias, source galaxy clustering, photometric redshift uncertainty, intrinsic galaxy alignments, non-Gaussian density fields, neutrinos, and non-linear summary statistics. We include a series of tests to validate our inference results. This paper also describes the Gower Street simulation suite: 791 full-sky PKDGRAV dark matter simulations, with cosmological model parameters sampled with a mixed active-learning strategy, from which we construct over 3000 mock DES lensing data sets. For $w$CDM inference, for which we allow $-1
Published: 2024

7. The Dark Energy Survey 5-year photometrically classified type Ia supernovae without host-galaxy redshifts

Author: Möller, A., Wiseman, P., Smith, M., Lidman, C., Davis, T. M., Kessler, R., Sako, M., Sullivan, M., Galbany, L., Lee, J., Nichol, R. C., Sánchez, B. O., Tucker, B. E., Abbott, T. M. C., Aguena, M., Allam, S., Alves, O., Andrade-Oliveira, F., Bacon, D., Bertin, E., Brooks, D., Rosell, A. Carnero, Castander, F. J., Desai, S., Diehl, H. T., Everett, S., Ferrero, I., Friedel, D., Frieman, J., García-Bellido, J., Gaztanaga, E., Giannini, G., Gruendl, R. A., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Lahav, O., Lee, S., Marshall, J. L., Mena-Fernández, J., Menanteau, F., Miquel, R., Myles, J., Ogando, R. L. C., Palmese, A., Pieres, A., Malagón, A. A. Plazas, Roodman, A., Sanchez, E., Cid, D. Sanchez, Sevilla-Noarbe, I., Suchyta, E., Swanson, M. E. C., Tarle, G., Tucker, D. L., Vincenzi, M., Walker, A. R., Weaverdyck, N., da Costa, L. N., Pereira, M. E. S., Möller, A., Wiseman, P., Smith, M., Lidman, C., Davis, T. M., Kessler, R., Sako, M., Sullivan, M., Galbany, L., Lee, J., Nichol, R. C., Sánchez, B. O., Tucker, B. E., Abbott, T. M. C., Aguena, M., Allam, S., Alves, O., Andrade-Oliveira, F., Bacon, D., Bertin, E., Brooks, D., Rosell, A. Carnero, Castander, F. J., Desai, S., Diehl, H. T., Everett, S., Ferrero, I., Friedel, D., Frieman, J., García-Bellido, J., Gaztanaga, E., Giannini, G., Gruendl, R. A., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Lahav, O., Lee, S., Marshall, J. L., Mena-Fernández, J., Menanteau, F., Miquel, R., Myles, J., Ogando, R. L. C., Palmese, A., Pieres, A., Malagón, A. A. Plazas, Roodman, A., Sanchez, E., Cid, D. Sanchez, Sevilla-Noarbe, I., Suchyta, E., Swanson, M. E. C., Tarle, G., Tucker, D. L., Vincenzi, M., Walker, A. R., Weaverdyck, N., da Costa, L. N., and Pereira, M. E. S.
Abstract: Current and future Type Ia Supernova (SN Ia) surveys will need to adopt new approaches to classifying SNe and obtaining their redshifts without spectra if they wish to reach their full potential. We present here a novel approach that uses only photometry to identify SNe Ia in the 5-year Dark Energy Survey (DES) dataset using the SUPERNNOVA classifier. Our approach, which does not rely on any information from the SN host-galaxy, recovers SNe Ia that might otherwise be lost due to a lack of an identifiable host. We select 2,298 high-quality SNe Ia from the DES 5-year dataset. More than 700 of these have no spectroscopic host redshift and are potentially new SNIa compared to the DES-SN5YR cosmology analysis. To analyse these SNe Ia, we derive their redshifts and properties using only their light-curves with a modified version of the SALT2 light-curve fitter. Compared to other DES SN Ia samples with spectroscopic redshifts, our new sample has in average higher redshift, bluer and broader light-curves, and fainter host-galaxies. Future surveys such as LSST will also face an additional challenge, the scarcity of spectroscopic resources for follow-up. When applying our novel method to DES data, we reduce the need for follow-up by a factor of four and three for host-galaxy and live SN respectively compared to earlier approaches. Our novel method thus leads to better optimisation of spectroscopic resources for follow-up., Comment: Submitted to MNRAS
Published: 2024

8. Dark Energy Survey: A 2.1% measurement of the angular Baryonic Acoustic Oscillation scale at redshift $z_{\rm eff}$=0.85 from the final dataset

Author: DES Collaboration, Abbott, T. M. C., Adamow, M., Aguena, M., Allam, S., Alves, O., Amon, A., Andrade-Oliveira, F., Asorey, J., Avila, S., Bacon, D., Bechtol, K., Bernstein, G. M., Bertin, E., Blazek, J., Bocquet, S., Brooks, D., Burke, D. L., Camacho, H., Rosell, A. Carnero, Carollo, D., Carretero, J., Castander, F. J., Cawthon, R., Chan, K. C., Chang, C., Conselice, C., Costanzi, M., Crocce, M., da Costa, L. N., Pereira, M. E. S., Davis, T. M., De Vicente, J., Deiosso, N., Desai, S., Diehl, H. T., Dodelson, S., Doux, C., Drlica-Wagner, A., Elvin-Poole, J., Everett, S., Ferrero, I., Ferté, A., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Giannini, G., Gruendl, R. A., Gutierrez, G., Hartley, W. G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huterer, D., James, D. J., Kent, S., Kuehn, K., Lahav, O., Lee, S., Lidman, C., Lin, H., Marshall, J. L., Martini, P., Mena-Fernández, J., Menanteau, F., Miquel, R., Mohr, J. J., Myles, J., Nichol, R. C., Ogando, R. L. C., Palmese, A., Percival, W. J., Pieres, A., Malagón, A. A. Plazas, Porredon, A., Prat, J., Rodríguez-Monroy, M., Romer, A. K., Roodman, A., Rosenfeld, R., Ross, A. J., Rykoff, E. S., Sako, M., Samuroff, S., Sánchez, C., Sanchez, E., Cid, D. Sanchez, Santiago, B., Schubnell, M., Sevilla-Noarbe, I., Sheldon, E., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Cipriano, L. Toribio San, Troxel, M. A., Tucker, B. E., Tucker, D. L., Walker, A. R., Weaverdyck, N., Weller, J., Wiseman, P., Yanny, B., DES Collaboration, Abbott, T. M. C., Adamow, M., Aguena, M., Allam, S., Alves, O., Amon, A., Andrade-Oliveira, F., Asorey, J., Avila, S., Bacon, D., Bechtol, K., Bernstein, G. M., Bertin, E., Blazek, J., Bocquet, S., Brooks, D., Burke, D. L., Camacho, H., Rosell, A. Carnero, Carollo, D., Carretero, J., Castander, F. J., Cawthon, R., Chan, K. C., Chang, C., Conselice, C., Costanzi, M., Crocce, M., da Costa, L. N., Pereira, M. E. S., Davis, T. M., De Vicente, J., Deiosso, N., Desai, S., Diehl, H. T., Dodelson, S., Doux, C., Drlica-Wagner, A., Elvin-Poole, J., Everett, S., Ferrero, I., Ferté, A., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Giannini, G., Gruendl, R. A., Gutierrez, G., Hartley, W. G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huterer, D., James, D. J., Kent, S., Kuehn, K., Lahav, O., Lee, S., Lidman, C., Lin, H., Marshall, J. L., Martini, P., Mena-Fernández, J., Menanteau, F., Miquel, R., Mohr, J. J., Myles, J., Nichol, R. C., Ogando, R. L. C., Palmese, A., Percival, W. J., Pieres, A., Malagón, A. A. Plazas, Porredon, A., Prat, J., Rodríguez-Monroy, M., Romer, A. K., Roodman, A., Rosenfeld, R., Ross, A. J., Rykoff, E. S., Sako, M., Samuroff, S., Sánchez, C., Sanchez, E., Cid, D. Sanchez, Santiago, B., Schubnell, M., Sevilla-Noarbe, I., Sheldon, E., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Cipriano, L. Toribio San, Troxel, M. A., Tucker, B. E., Tucker, D. L., Walker, A. R., Weaverdyck, N., Weller, J., Wiseman, P., and Yanny, B.
Abstract: We present the angular diameter distance measurement obtained with the Baryonic Acoustic Oscillation feature from galaxy clustering in the completed Dark Energy Survey, consisting of six years (Y6) of observations. We use the Y6 BAO galaxy sample, optimized for BAO science in the redshift range 0.6<$z$<1.2, with an effective redshift at $z_{\rm eff}$=0.85 and split into six tomographic bins. The sample has nearly 16 million galaxies over 4,273 square degrees. Our consensus measurement constrains the ratio of the angular distance to sound horizon scale to $D_M(z_{\rm eff})/r_d$ = 19.51$\pm$0.41 (at 68.3% confidence interval), resulting from comparing the BAO position in our data to that predicted by Planck $\Lambda$CDM via the BAO shift parameter $\alpha=(D_M/r_d)/(D_M/r_d)_{\rm Planck}$. To achieve this, the BAO shift is measured with three different methods, Angular Correlation Function (ACF), Angular Power Spectrum (APS), and Projected Correlation Function (PCF) obtaining $\alpha=$ 0.952$\pm$0.023, 0.962$\pm$0.022, and 0.955$\pm$0.020, respectively, which we combine to $\alpha=$ 0.957$\pm$0.020, including systematic errors. When compared with the $\Lambda$CDM model that best fits Planck data, this measurement is found to be 4.3% and 2.1$\sigma$ below the angular BAO scale predicted. To date, it represents the most precise angular BAO measurement at $z$>0.75 from any survey and the most precise measurement at any redshift from photometric surveys. The analysis was performed blinded to the BAO position and it is shown to be robust against analysis choices, data removal, redshift calibrations and observational systematics., Comment: Submitted to PRD, 39 pages, 12 figures
Published: 2024

9. Dark Energy Survey: Galaxy Sample for the Baryonic Acoustic Oscillation Measurement from the Final Dataset

Author: Mena-Fernández, J., Rodríguez-Monroy, M., Avila, S., Porredon, A., Chan, K. C., Camacho, H., Weaverdyck, N., Sevilla-Noarbe, I., Sanchez, E., Cipriano, L. Toribio San, De Vicente, J., Ferrero, I., Cawthon, R., Rosell, A. Carnero, Elvin-Poole, J., Giannini, G., Adamow, M., Bechtol, K., Drlica-Wagner, A., Gruendl, R. A., Hartley, W. G., Pieres, A., Ross, A. J., Rykoff, E. S., Sheldon, E., Yanny, B., Abbott, T. M. C., Aguena, M., Allam, S., Alves, O., Amon, A., Andrade-Oliveira, F., Annis, J., Bacon, D., Blazek, J., Bocquet, S., Brooks, D., Carretero, J., Castander, F. J., Conselice, C., Crocce, M., da Costa, L. N., Pereira, M. E. S., Davis, T. M., Deiosso, N., Desai, S., Diehl, H. T., Dodelson, S., Doux, C., Everett, S., Frieman, J., García-Bellido, J., Gaztanaga, E., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huterer, D., Kuehn, K., Lahav, O., Lee, S., Lidman, C., Lin, H., Marshall, J. L., Menanteau, F., Miquel, R., Myles, J., Ogando, R. L. C., Palmese, A., Percival, W. J., Malagón, A. A. Plazas, Roodman, A., Rosenfeld, R., Samuroff, S., Cid, D. Sanchez, Santiago, B., Schubnell, M., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Tucker, D. L., Walker, A. R., Weller, J., Wiseman, P., Yamamoto, M., Mena-Fernández, J., Rodríguez-Monroy, M., Avila, S., Porredon, A., Chan, K. C., Camacho, H., Weaverdyck, N., Sevilla-Noarbe, I., Sanchez, E., Cipriano, L. Toribio San, De Vicente, J., Ferrero, I., Cawthon, R., Rosell, A. Carnero, Elvin-Poole, J., Giannini, G., Adamow, M., Bechtol, K., Drlica-Wagner, A., Gruendl, R. A., Hartley, W. G., Pieres, A., Ross, A. J., Rykoff, E. S., Sheldon, E., Yanny, B., Abbott, T. M. C., Aguena, M., Allam, S., Alves, O., Amon, A., Andrade-Oliveira, F., Annis, J., Bacon, D., Blazek, J., Bocquet, S., Brooks, D., Carretero, J., Castander, F. J., Conselice, C., Crocce, M., da Costa, L. N., Pereira, M. E. S., Davis, T. M., Deiosso, N., Desai, S., Diehl, H. T., Dodelson, S., Doux, C., Everett, S., Frieman, J., García-Bellido, J., Gaztanaga, E., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huterer, D., Kuehn, K., Lahav, O., Lee, S., Lidman, C., Lin, H., Marshall, J. L., Menanteau, F., Miquel, R., Myles, J., Ogando, R. L. C., Palmese, A., Percival, W. J., Malagón, A. A. Plazas, Roodman, A., Rosenfeld, R., Samuroff, S., Cid, D. Sanchez, Santiago, B., Schubnell, M., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Tucker, D. L., Walker, A. R., Weller, J., Wiseman, P., and Yamamoto, M.
Abstract: In this paper we present and validate the galaxy sample used for the analysis of the baryon acoustic oscillation (BAO) signal in the Dark Energy Survey (DES) Y6 data. The definition is based on a color and redshift-dependent magnitude cut optimized to select galaxies at redshifts higher than 0.6, while ensuring a high-quality photo-$z$ determination. The optimization is performed using a Fisher forecast algorithm, finding the optimal $i$-magnitude cut to be given by $i$<19.64+2.894$z_{\rm ph}$. For the optimal sample, we forecast an increase in precision in the BAO measurement of $\sim$25% with respect to the Y3 analysis. Our BAO sample has a total of 15,937,556 galaxies in the redshift range 0.6<$z_{\rm ph}$<1.2, and its angular mask covers 4,273.42 deg${}^2$ to a depth of $i$=22.5. We validate its redshift distributions with three different methods: directional neighborhood fitting algorithm (DNF), which is our primary photo-$z$ estimation; direct calibration with spectroscopic redshifts from VIPERS; and clustering redshift using SDSS galaxies. The fiducial redshift distribution is a combination of these three techniques performed by modifying the mean and width of the DNF distributions to match those of VIPERS and clustering redshift. In this paper we also describe the methodology used to mitigate the effect of observational systematics, which is analogous to the one used in the Y3 analysis. This paper is one of the two dedicated to the analysis of the BAO signal in DES Y6. In its companion paper, we present the angular diameter distance constraints obtained through the fitting to the BAO scale., Comment: 23 pages, 10 figures. Submitted to PRD
Published: 2024

10. The SRG/eROSITA All-Sky Survey: Dark Energy Survey Year 3 Weak Gravitational Lensing by eRASS1 selected Galaxy Clusters

Author: Grandis, S., Ghirardini, V., Bocquet, S., Garrel, C., Mohr, J. J., Liu, A., Kluge, M., Kimmig, L., Reiprich, T. H., Alarcon, A., Amon, A., Artis, E., Bahar, Y. E., Balzer, F., Bechtol, K., Becker, M. R., Bernstein, G., Bulbul, E., Campos, A., Rosell, A. Carnero, Kind, M. Carrasco, Cawthon, R., Chang, C., Chen, R., Chiu, I., Choi, A., Clerc, N., Comparat, J., Cordero, J., Davis, C., Derose, J., Diehl, H. T., Dodelson, S., Doux, C., Drlica-Wagner, A., Eckert, K., Elvin-Poole, J., Everett, S., Ferte, A., Gatt, M., Giannini, G., Giles, P., Gruen, D., Gruendl, R. A., Harrison, I., Hartley, W. G., Herner, K., Huf, E. M., Kleinebreil, F., Kuropatkin, N., Leget, P. F., Maccrann, N., Mccullough, J., Merloni, A., Myles, J., Nandra, K., Navarro-Alsina, A., Okabe, N., Pacaud, F., Pandey, S., Prat, J., Predehl, P., Ramos, M., Raveri, M., Rollins, R. P., Roodman, A., Ross, A. J., Rykoff, E. S., Sanchez, C., Sanders, J., Schrabback, T., Secco, L. F., Seppi, R., Sevilla-Noarbe, I., Sheldon, E., Shin, T., Troxel, M., Tutusaus, I., Varga, T. N., Wu, H., Yanny, B., Yin, B., Zhang, X., Zhang, Y., Alves, O., Bhargava, S., Brooks, D., Burke, D. L., Carretero, J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Doel, P., Ferrero, I., Flaugher, B., Friedel, D., Frieman, J., García-Bellido, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Jeffrey, N., Lahav, O., Lee, S., Marshall, J. L., Menanteau, F., Ogando, R. L. C., Pieres, A., Malagón, A. A. Plazas, Romer, A. K., Sanchez, E., Schubnell, M., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Weaverdyck, N., Weller, J., Grandis, S., Ghirardini, V., Bocquet, S., Garrel, C., Mohr, J. J., Liu, A., Kluge, M., Kimmig, L., Reiprich, T. H., Alarcon, A., Amon, A., Artis, E., Bahar, Y. E., Balzer, F., Bechtol, K., Becker, M. R., Bernstein, G., Bulbul, E., Campos, A., Rosell, A. Carnero, Kind, M. Carrasco, Cawthon, R., Chang, C., Chen, R., Chiu, I., Choi, A., Clerc, N., Comparat, J., Cordero, J., Davis, C., Derose, J., Diehl, H. T., Dodelson, S., Doux, C., Drlica-Wagner, A., Eckert, K., Elvin-Poole, J., Everett, S., Ferte, A., Gatt, M., Giannini, G., Giles, P., Gruen, D., Gruendl, R. A., Harrison, I., Hartley, W. G., Herner, K., Huf, E. M., Kleinebreil, F., Kuropatkin, N., Leget, P. F., Maccrann, N., Mccullough, J., Merloni, A., Myles, J., Nandra, K., Navarro-Alsina, A., Okabe, N., Pacaud, F., Pandey, S., Prat, J., Predehl, P., Ramos, M., Raveri, M., Rollins, R. P., Roodman, A., Ross, A. J., Rykoff, E. S., Sanchez, C., Sanders, J., Schrabback, T., Secco, L. F., Seppi, R., Sevilla-Noarbe, I., Sheldon, E., Shin, T., Troxel, M., Tutusaus, I., Varga, T. N., Wu, H., Yanny, B., Yin, B., Zhang, X., Zhang, Y., Alves, O., Bhargava, S., Brooks, D., Burke, D. L., Carretero, J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Doel, P., Ferrero, I., Flaugher, B., Friedel, D., Frieman, J., García-Bellido, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Jeffrey, N., Lahav, O., Lee, S., Marshall, J. L., Menanteau, F., Ogando, R. L. C., Pieres, A., Malagón, A. A. Plazas, Romer, A. K., Sanchez, E., Schubnell, M., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Weaverdyck, N., and Weller, J.
Abstract: Number counts of galaxy clusters across redshift are a powerful cosmological probe, if a precise and accurate reconstruction of the underlying mass distribution is performed -- a challenge called mass calibration. With the advent of wide and deep photometric surveys, weak gravitational lensing by clusters has become the method of choice to perform this measurement. We measure and validate the weak gravitational lensing (WL) signature in the shape of galaxies observed in the first 3 years of the DES Y3 caused by galaxy clusters selected in the first all-sky survey performed by SRG/eROSITA. These data are then used to determine the scaling between X-ray photon count rate of the clusters and their halo mass and redshift. We empirically determine the degree of cluster member contamination in our background source sample. The individual cluster shear profiles are then analysed with a Bayesian population model that self-consistently accounts for the lens sample selection and contamination, and includes marginalization over a host of instrumental and astrophysical systematics. To quantify the accuracy of the mass extraction of that model, we perform mass measurements on mock cluster catalogs with realistic synthetic shear profiles. This allows us to establish that hydro-dynamical modelling uncertainties at low lens redshifts ($z<0.6$) are the dominant systematic limitation. At high lens redshift the uncertainties of the sources' photometric redshift calibration dominate. With regard to the X-ray count rate to halo mass relation, we constrain all its parameters. This work sets the stage for a joint analysis with the number counts of eRASS1 clusters to constrain a host of cosmological parameters. We demonstrate that WL mass calibration of galaxy clusters can be performed successfully with source galaxies whose calibration was performed primarily for cosmic shear experiments., Comment: 27 pages, 18 figures, 2 appendices, submitted to A\&A
Published: 2024

11. Copacabana: A Probabilistic Membership Assignment Method for Galaxy Clusters

Author: Esteves, J. H., Pereira, M. E. S., Soares-Santos, M., Annis, J., Farahi, A., Andrade-Oliveira, F., Barchi, P., Palmese, A., Lin, H., Welch, B., Wu, H. -Y., Aguena, M., Bacon, O. Alves D., Bocquet, S., Brooks, D., Rosell, A. Carnero, Carretero, J., Costanzi, M., da Costa, L. N., De Vicente, J., Doel, P., Everett, S., Flaugher, B., Frieman, J., García-Bellido, J., Gruen, D., Gruendl, R. A., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Lidman, C., Lima, M., Marshall, J. L., Mena-Fernández, J., Miquel, R., Myles, J., Ogando, R. L. C., Pieres, A., Malagón, A. A. Plazas, Romer, A. K., Sanchez, E., Cid, D. Sanchez, Santiago, B., Schubnell, M., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Swanson, M. E. C., Weaverdyck, N., Wiseman, P., Yamamoto, M., collaboration, DES, Esteves, J. H., Pereira, M. E. S., Soares-Santos, M., Annis, J., Farahi, A., Andrade-Oliveira, F., Barchi, P., Palmese, A., Lin, H., Welch, B., Wu, H. -Y., Aguena, M., Bacon, O. Alves D., Bocquet, S., Brooks, D., Rosell, A. Carnero, Carretero, J., Costanzi, M., da Costa, L. N., De Vicente, J., Doel, P., Everett, S., Flaugher, B., Frieman, J., García-Bellido, J., Gruen, D., Gruendl, R. A., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Lidman, C., Lima, M., Marshall, J. L., Mena-Fernández, J., Miquel, R., Myles, J., Ogando, R. L. C., Pieres, A., Malagón, A. A. Plazas, Romer, A. K., Sanchez, E., Cid, D. Sanchez, Santiago, B., Schubnell, M., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Swanson, M. E. C., Weaverdyck, N., Wiseman, P., Yamamoto, M., and collaboration, DES
Abstract: Cosmological analyses using galaxy clusters in optical/NIR photometric surveys require robust characterization of their galaxy content. Precisely determining which galaxies belong to a cluster is crucial. In this paper, we present the COlor Probabilistic Assignment of Clusters And BAyesiaN Analysis (Copacabana) algorithm. Copacabana computes membership probabilities for {\it all} galaxies within an aperture centred on the cluster using photometric redshifts, colours, and projected radial probability density functions. We use simulations to validate Copacabana and we show that it achieves up to 89\% membership accuracy with a mild dependency on photometric redshift uncertainties and choice of aperture size. We find that the precision of the photometric redshifts has the largest impact on the determination of the membership probabilities followed by the choice of the cluster aperture size. We also quantify how much these uncertainties in the membership probabilities affect the stellar mass--cluster mass scaling relation, a relation that directly impacts cosmology. Using the sum of the stellar masses weighted by membership probabilities ($\mu_{\star}$) as the observable, we find that Copacabana can reach an accuracy of 0.06 dex in the measurement of the scaling relation. These results indicate the potential of Copacabana and $\mu_{\star}$ to be used in cosmological analyses of optically selected clusters in the future., Comment: 14 pages, 10 figures, submitted to MNRAS
Published: 2024

12. The Dark Energy Survey: Cosmology Results With ~1500 New High-redshift Type Ia Supernovae Using The Full 5-year Dataset

Author: DES Collaboration, Abbott, T. M. C., Acevedo, M., Aguena, M., Alarcon, A., Allam, S., Alves, O., Amon, A., Andrade-Oliveira, F., Annis, J., Armstrong, P., Asorey, J., Avila, S., Bacon, D., Bassett, B. A., Bechtol, K., Bernardinelli, P. H., Bernstein, G. M., Bertin, E., Blazek, J., Bocquet, S., Brooks, D., Brout, D., Buckley-Geer, E., Burke, D. L., Camacho, H., Camilleri, R., Campos, A., Rosell, A. Carnero, Carollo, D., Carr, A., Carretero, J., Castander, F. J., Cawthon, R., Chang, C., Chen, R., Choi, A., Conselice, C., Costanzi, M., da Costa, L. N., Crocce, M., Davis, T. M., DePoy, D. L., Desai, S., Diehl, H. T., Dixon, M., Dodelson, S., Doel, P., Doux, C., Drlica-Wagner, A., Elvin-Poole, J., Everett, S., Ferrero, I., Ferté, A., Flaugher, B., Foley, R. J., Fosalba, P., Friedel, D., Frieman, J., Frohmaier, C., Galbany, L., García-Bellido, J., Gatti, M., Gaztanaga, E., Giannini, G., Glazebrook, K., Graur, O., Gruen, D., Gruendl, R. A., Gutierrez, G., Hartley, W. G., Herner, K., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huterer, D., Jain, B., James, D. J., Jeffrey, N., Kelsey, L., Kent, S., Kessler, R., Kim, A. G., Kirshner, R. P., Kovacs, E., Kuehn, K., Lahav, O., Lee, J., Lee, S., Lewis, G. F., Li, T. S., Lidman, C., Lin, H., Marshall, J. L., Martini, P., Mena-Fernández, J., Menanteau, F., Miquel, R., Mohr, J. J., Mould, J., Muir, J., Möller, A., Neilsen, E., Nichol, R. C., Nugent, P., Ogando, R. L. C., Palmese, A., Pan, Y. -C., Paterno, M., Percival, W. J., Pereira, M. E. S., Pieres, A., Malagón, A. A. Plazas, Popovic, B., Porredon, A., Prat, J., Qu, H., Raveri, M., Rodríguez-Monroy, M., Romer, A. K., Roodman, A., Rose, B., Sako, M., Sanchez, E., Cid, D. Sanchez, Schubnell, M., Scolnic, D., Sevilla-Noarbe, I., Shah, P., Smith, J. Allyn., Smith, M., Soares-Santos, M., Suchyta, E., Sullivan, M., Suntzeff, N., Swanson, M. E. C., Sánchez, B. O., Tarle, G., Taylor, G., Thomas, D., To, C., Toy, M., Troxel, M. A., Tucker, B. E., Tucker, D. L., Uddin, S. A., Vincenzi, M., Walker, A. R., Weaverdyck, N., Wechsler, R. H., Weller, J., Wester, W., Wiseman, P., Yamamoto, M., Yuan, F., Zhang, B., Zhang, Y., DES Collaboration, Abbott, T. M. C., Acevedo, M., Aguena, M., Alarcon, A., Allam, S., Alves, O., Amon, A., Andrade-Oliveira, F., Annis, J., Armstrong, P., Asorey, J., Avila, S., Bacon, D., Bassett, B. A., Bechtol, K., Bernardinelli, P. H., Bernstein, G. M., Bertin, E., Blazek, J., Bocquet, S., Brooks, D., Brout, D., Buckley-Geer, E., Burke, D. L., Camacho, H., Camilleri, R., Campos, A., Rosell, A. Carnero, Carollo, D., Carr, A., Carretero, J., Castander, F. J., Cawthon, R., Chang, C., Chen, R., Choi, A., Conselice, C., Costanzi, M., da Costa, L. N., Crocce, M., Davis, T. M., DePoy, D. L., Desai, S., Diehl, H. T., Dixon, M., Dodelson, S., Doel, P., Doux, C., Drlica-Wagner, A., Elvin-Poole, J., Everett, S., Ferrero, I., Ferté, A., Flaugher, B., Foley, R. J., Fosalba, P., Friedel, D., Frieman, J., Frohmaier, C., Galbany, L., García-Bellido, J., Gatti, M., Gaztanaga, E., Giannini, G., Glazebrook, K., Graur, O., Gruen, D., Gruendl, R. A., Gutierrez, G., Hartley, W. G., Herner, K., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huterer, D., Jain, B., James, D. J., Jeffrey, N., Kelsey, L., Kent, S., Kessler, R., Kim, A. G., Kirshner, R. P., Kovacs, E., Kuehn, K., Lahav, O., Lee, J., Lee, S., Lewis, G. F., Li, T. S., Lidman, C., Lin, H., Marshall, J. L., Martini, P., Mena-Fernández, J., Menanteau, F., Miquel, R., Mohr, J. J., Mould, J., Muir, J., Möller, A., Neilsen, E., Nichol, R. C., Nugent, P., Ogando, R. L. C., Palmese, A., Pan, Y. -C., Paterno, M., Percival, W. J., Pereira, M. E. S., Pieres, A., Malagón, A. A. Plazas, Popovic, B., Porredon, A., Prat, J., Qu, H., Raveri, M., Rodríguez-Monroy, M., Romer, A. K., Roodman, A., Rose, B., Sako, M., Sanchez, E., Cid, D. Sanchez, Schubnell, M., Scolnic, D., Sevilla-Noarbe, I., Shah, P., Smith, J. Allyn., Smith, M., Soares-Santos, M., Suchyta, E., Sullivan, M., Suntzeff, N., Swanson, M. E. C., Sánchez, B. O., Tarle, G., Taylor, G., Thomas, D., To, C., Toy, M., Troxel, M. A., Tucker, B. E., Tucker, D. L., Uddin, S. A., Vincenzi, M., Walker, A. R., Weaverdyck, N., Wechsler, R. H., Weller, J., Wester, W., Wiseman, P., Yamamoto, M., Yuan, F., Zhang, B., and Zhang, Y.
Abstract: We present cosmological constraints from the sample of Type Ia supernovae (SN Ia) discovered during the full five years of the Dark Energy Survey (DES) Supernova Program. In contrast to most previous cosmological samples, in which SN are classified based on their spectra, we classify the DES SNe using a machine learning algorithm applied to their light curves in four photometric bands. Spectroscopic redshifts are acquired from a dedicated follow-up survey of the host galaxies. After accounting for the likelihood of each SN being a SN Ia, we find 1635 DES SN in the redshift range $0.100.5$ SNe compared to the previous leading compilation of Pantheon+, and results in the tightest cosmological constraints achieved by any SN data set to date. To derive cosmological constraints we combine the DES supernova data with a high-quality external low-redshift sample consisting of 194 SNe Ia spanning $0.025
Published: 2024

13. SPT Clusters with DES and HST Weak Lensing. II. Cosmological Constraints from the Abundance of Massive Halos

Author: Bocquet, S., Grandis, S., Bleem, L. E., Klein, M., Mohr, J. J., Schrabback, T., Abbott, T. M. C., Ade, P. A. R., Aguena, M., Alarcon, A., Allam, S., Allen, S. W., Alves, O., Amon, A., Anderson, A. J., Annis, J., Ansarinejad, B., Austermann, J. E., Avila, S., Bacon, D., Bayliss, M., Beall, J. A., Bechtol, K., Becker, M. R., Bender, A. N., Benson, B. A., Bernstein, G. M., Bhargava, S., Bianchini, F., Brodwin, M., Brooks, D., Bryant, L., Campos, A., Canning, R. E. A., Carlstrom, J. E., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Castander, F. J., Cawthon, R., Chang, C. L., Chang, C., Chaubal, P., Chen, R., Chiang, H. C., Choi, A., Chou, T-L., Citron, R., Moran, C. Corbett, Cordero, J., Costanzi, M., Crawford, T. M., Crites, A. T., da Costa, L. N., Pereira, M. E. S., Davis, C., Davis, T. M., DeRose, J., Desai, S., de Haan, T., Diehl, H. T., Dobbs, M. A., Dodelson, S., Doux, C., Drlica-Wagner, A., Eckert, K., Elvin-Poole, J., Everett, S., Everett, W., Ferrero, I., Ferté, A., Flores, A. M., Frieman, J., Gallicchio, J., García-Bellido, J., Gatti, M., George, E. M., Giannini, G., Gladders, M. D., Gruen, D., Gruendl, R. A., Gupta, N., Gutierrez, G., Halverson, N. W., Harrison, I., Hartley, W. G., Herner, K., Hinton, S. R., Holder, G. P., Hollowood, D. L., Holzapfel, W. L., Honscheid, K., Hrubes, J. D., Huang, N., Hubmayr, J., Huff, E. M., Huterer, D., Irwin, K. D., James, D. J., Jarvis, M., Khullar, G., Kim, K., Knox, L., Kraft, R., Krause, E., Kuehn, K., Kuropatkin, N., Kéruzoré, F., Lahav, O., Lee, A. T., Leget, P. -F., Li, D., Lin, H., Lowitz, A., MacCrann, N., Mahler, G., Mantz, A., Marshall, J. L., McCullough, J., McDonald, M., McMahon, J. J., Mena-Fernández, J., Menanteau, F., Meyer, S. S., Miquel, R., Montgomery, J., Myles, J., Natoli, T., Navarro-Alsina, A., Nibarger, J. P., Noble, G. I., Novosad, V., Ogando, R. L. C., Omori, Y., Padin, S., Pandey, S., Paschos, P., Patil, S., Pieres, A., Malagón, A. A. Plazas, Porredon, A., Prat, J., Pryke, C., Raveri, M., Reichardt, C. L., Roberson, J., Rollins, R. P., Romero, C., Roodman, A., Ruhl, J. E., Rykoff, E. S., Saliwanchik, B. R., Salvati, L., Sánchez, C., Sanchez, E., Cid, D. Sanchez, Saro, A., Schaffer, K. K., Secco, L. F., Sevilla-Noarbe, I., Sharon, K., Sheldon, E., Shin, T., Sievers, C., Smecher, G., Smith, M., Somboonpanyakul, T., Sommer, M., Stalder, B., Stark, A. A., Stephen, J., Strazzullo, V., Suchyta, E., Tarle, G., To, C., Troxel, M. A., Tucker, C., Tutusaus, I., Varga, T. N., Veach, T., Vieira, J. D., Vikhlinin, A., von der Linden, A., Wang, G., Weaverdyck, N., Weller, J., Whitehorn, N., Wu, W. L. K., Yanny, B., Yefremenko, V., Yin, B., Young, M., Zebrowski, J. A., Zhang, Y., Zohren, H., Zuntz, J., Bocquet, S., Grandis, S., Bleem, L. E., Klein, M., Mohr, J. J., Schrabback, T., Abbott, T. M. C., Ade, P. A. R., Aguena, M., Alarcon, A., Allam, S., Allen, S. W., Alves, O., Amon, A., Anderson, A. J., Annis, J., Ansarinejad, B., Austermann, J. E., Avila, S., Bacon, D., Bayliss, M., Beall, J. A., Bechtol, K., Becker, M. R., Bender, A. N., Benson, B. A., Bernstein, G. M., Bhargava, S., Bianchini, F., Brodwin, M., Brooks, D., Bryant, L., Campos, A., Canning, R. E. A., Carlstrom, J. E., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Castander, F. J., Cawthon, R., Chang, C. L., Chang, C., Chaubal, P., Chen, R., Chiang, H. C., Choi, A., Chou, T-L., Citron, R., Moran, C. Corbett, Cordero, J., Costanzi, M., Crawford, T. M., Crites, A. T., da Costa, L. N., Pereira, M. E. S., Davis, C., Davis, T. M., DeRose, J., Desai, S., de Haan, T., Diehl, H. T., Dobbs, M. A., Dodelson, S., Doux, C., Drlica-Wagner, A., Eckert, K., Elvin-Poole, J., Everett, S., Everett, W., Ferrero, I., Ferté, A., Flores, A. M., Frieman, J., Gallicchio, J., García-Bellido, J., Gatti, M., George, E. M., Giannini, G., Gladders, M. D., Gruen, D., Gruendl, R. A., Gupta, N., Gutierrez, G., Halverson, N. W., Harrison, I., Hartley, W. G., Herner, K., Hinton, S. R., Holder, G. P., Hollowood, D. L., Holzapfel, W. L., Honscheid, K., Hrubes, J. D., Huang, N., Hubmayr, J., Huff, E. M., Huterer, D., Irwin, K. D., James, D. J., Jarvis, M., Khullar, G., Kim, K., Knox, L., Kraft, R., Krause, E., Kuehn, K., Kuropatkin, N., Kéruzoré, F., Lahav, O., Lee, A. T., Leget, P. -F., Li, D., Lin, H., Lowitz, A., MacCrann, N., Mahler, G., Mantz, A., Marshall, J. L., McCullough, J., McDonald, M., McMahon, J. J., Mena-Fernández, J., Menanteau, F., Meyer, S. S., Miquel, R., Montgomery, J., Myles, J., Natoli, T., Navarro-Alsina, A., Nibarger, J. P., Noble, G. I., Novosad, V., Ogando, R. L. C., Omori, Y., Padin, S., Pandey, S., Paschos, P., Patil, S., Pieres, A., Malagón, A. A. Plazas, Porredon, A., Prat, J., Pryke, C., Raveri, M., Reichardt, C. L., Roberson, J., Rollins, R. P., Romero, C., Roodman, A., Ruhl, J. E., Rykoff, E. S., Saliwanchik, B. R., Salvati, L., Sánchez, C., Sanchez, E., Cid, D. Sanchez, Saro, A., Schaffer, K. K., Secco, L. F., Sevilla-Noarbe, I., Sharon, K., Sheldon, E., Shin, T., Sievers, C., Smecher, G., Smith, M., Somboonpanyakul, T., Sommer, M., Stalder, B., Stark, A. A., Stephen, J., Strazzullo, V., Suchyta, E., Tarle, G., To, C., Troxel, M. A., Tucker, C., Tutusaus, I., Varga, T. N., Veach, T., Vieira, J. D., Vikhlinin, A., von der Linden, A., Wang, G., Weaverdyck, N., Weller, J., Whitehorn, N., Wu, W. L. K., Yanny, B., Yefremenko, V., Yin, B., Young, M., Zebrowski, J. A., Zhang, Y., Zohren, H., and Zuntz, J.
Abstract: We present cosmological constraints from the abundance of galaxy clusters selected via the thermal Sunyaev-Zel'dovich (SZ) effect in South Pole Telescope (SPT) data with a simultaneous mass calibration using weak gravitational lensing data from the Dark Energy Survey (DES) and the Hubble Space Telescope (HST). The cluster sample is constructed from the combined SPT-SZ, SPTpol ECS, and SPTpol 500d surveys, and comprises 1,005 confirmed clusters in the redshift range $0.25-1.78$ over a total sky area of 5,200 deg$^2$. We use DES Year 3 weak-lensing data for 688 clusters with redshifts $z<0.95$ and HST weak-lensing data for 39 clusters with $0.6
Published: 2024

14. Superclustering with the Atacama Cosmology Telescope and Dark Energy Survey. I. Evidence for Thermal Energy Anisotropy Using Oriented Stacking

Author: Lokken, M, Hlozek, R, Engelen, A, Madhavacheril, M, Baxter, E, Derose, J, Doux, C, Pandey, S, Rykoff, E, Stein, G, To, C, Abbott, T, Adhikari, S, Aguena, M, Allam, S, Andrade-Oliveira, F, Annis, J, Battaglia, N, Bernstein, G, Bertin, E, Bond, J, Brooks, D, Calabrese, E, Rosell, A, Kind, M, Carretero, J, Cawthon, R, Choi, A, Costanzi, M, Crocce, M, Costa, L, Pereira, M, Vicente, J, Desai, S, Dietrich, J, Doel, P, Dunkley, J, Everett, S, Evrard, A, Ferraro, S, Flaugher, B, Fosalba, P, Frieman, J, Gallardo, P, Garcia-Bellido, J, Gaztanaga, E, Gerdes, D, Giannantonio, T, Gruen, D, Gruendl, R, Gschwend, J, Gutierrez, G, Hill, J, Hilton, M, Hincks, A, Hinton, S, Hollowood, D, Honscheid, K, Hoyle, B, Huang, Z, Hughes, J, Huterer, D, Jain, B, James, D, Jeltema, T, Kuehn, K, Lima, M, Maia, M, Marshall, J, Mcmahon, J, Melchior, P, Menanteau, F, Miquel, R, Mohr, J, Moodley, K, Morgan, R, Nati, F, Page, L, Ogando, R, Palmese, A, Paz-Chinchon, F, Malagon, A, Pieres, A, Romer, A, Rozo, E, Sanchez, E, Scarpine, V, Schillaci, A, Schubnell, M, Serrano, S, Sevilla-Noarbe, I, Sheldon, E, Shin, T, Sifon, C, Smith, M, Soares-Santos, M, Suchyta, E, Swanson, M, Tarle, G, Thomas, D, Tucker, D, Varga, T, Weller, J, Wechsler, R, Wilkinson, R, Wollack, E, Xu, Z, Lokken M., Hlozek R., Engelen A. V., Madhavacheril M., Baxter E., Derose J., Doux C., Pandey S., Rykoff E. S., Stein G., To C., Abbott T. M. C., Adhikari S., Aguena M., Allam S., Andrade-Oliveira F., Annis J., Battaglia N., Bernstein G. M., Bertin E., Bond J. R., Brooks D., Calabrese E., Rosell A. C., Kind M. C., Carretero J., Cawthon R., Choi A., Costanzi M., Crocce M., Costa L. N. D., Pereira M. E. D. S., Vicente J. D., Desai S., Dietrich J. P., Doel P., Dunkley J., Everett S., Evrard A. E., Ferraro S., Flaugher B., Fosalba P., Frieman J., Gallardo P. A., Garcia-Bellido J., Gaztanaga E., Gerdes D. W., Giannantonio T., Gruen D., Gruendl R. A., Gschwend J., Gutierrez G., Hill J. C., Hilton M., Hincks A. D., Hinton S. R., Hollowood D. L., Honscheid K., Hoyle B., Huang Z., Hughes J. P., Huterer D., Jain B., James D. J., Jeltema T., Kuehn K., Lima M., Maia M. A. G., Marshall J. L., McMahon J., Melchior P., Menanteau F., Miquel R., Mohr J. J., Moodley K., Morgan R., Nati F., Page L., Ogando R. L. C., Palmese A., Paz-Chinchon F., Malagon A. A. P., Pieres A., Romer A. K., Rozo E., Sanchez E., Scarpine V., Schillaci A., Schubnell M., Serrano S., Sevilla-Noarbe I., Sheldon E., Shin T., Sifon C., Smith M., Soares-Santos M., Suchyta E., Swanson M. E. C., Tarle G., Thomas D., Tucker D. L., Varga T. N., Weller J., Wechsler R. H., Wilkinson R. D., Wollack E. J., Xu Z., Lokken, M, Hlozek, R, Engelen, A, Madhavacheril, M, Baxter, E, Derose, J, Doux, C, Pandey, S, Rykoff, E, Stein, G, To, C, Abbott, T, Adhikari, S, Aguena, M, Allam, S, Andrade-Oliveira, F, Annis, J, Battaglia, N, Bernstein, G, Bertin, E, Bond, J, Brooks, D, Calabrese, E, Rosell, A, Kind, M, Carretero, J, Cawthon, R, Choi, A, Costanzi, M, Crocce, M, Costa, L, Pereira, M, Vicente, J, Desai, S, Dietrich, J, Doel, P, Dunkley, J, Everett, S, Evrard, A, Ferraro, S, Flaugher, B, Fosalba, P, Frieman, J, Gallardo, P, Garcia-Bellido, J, Gaztanaga, E, Gerdes, D, Giannantonio, T, Gruen, D, Gruendl, R, Gschwend, J, Gutierrez, G, Hill, J, Hilton, M, Hincks, A, Hinton, S, Hollowood, D, Honscheid, K, Hoyle, B, Huang, Z, Hughes, J, Huterer, D, Jain, B, James, D, Jeltema, T, Kuehn, K, Lima, M, Maia, M, Marshall, J, Mcmahon, J, Melchior, P, Menanteau, F, Miquel, R, Mohr, J, Moodley, K, Morgan, R, Nati, F, Page, L, Ogando, R, Palmese, A, Paz-Chinchon, F, Malagon, A, Pieres, A, Romer, A, Rozo, E, Sanchez, E, Scarpine, V, Schillaci, A, Schubnell, M, Serrano, S, Sevilla-Noarbe, I, Sheldon, E, Shin, T, Sifon, C, Smith, M, Soares-Santos, M, Suchyta, E, Swanson, M, Tarle, G, Thomas, D, Tucker, D, Varga, T, Weller, J, Wechsler, R, Wilkinson, R, Wollack, E, Xu, Z, Lokken M., Hlozek R., Engelen A. V., Madhavacheril M., Baxter E., Derose J., Doux C., Pandey S., Rykoff E. S., Stein G., To C., Abbott T. M. C., Adhikari S., Aguena M., Allam S., Andrade-Oliveira F., Annis J., Battaglia N., Bernstein G. M., Bertin E., Bond J. R., Brooks D., Calabrese E., Rosell A. C., Kind M. C., Carretero J., Cawthon R., Choi A., Costanzi M., Crocce M., Costa L. N. D., Pereira M. E. D. S., Vicente J. D., Desai S., Dietrich J. P., Doel P., Dunkley J., Everett S., Evrard A. E., Ferraro S., Flaugher B., Fosalba P., Frieman J., Gallardo P. A., Garcia-Bellido J., Gaztanaga E., Gerdes D. W., Giannantonio T., Gruen D., Gruendl R. A., Gschwend J., Gutierrez G., Hill J. C., Hilton M., Hincks A. D., Hinton S. R., Hollowood D. L., Honscheid K., Hoyle B., Huang Z., Hughes J. P., Huterer D., Jain B., James D. J., Jeltema T., Kuehn K., Lima M., Maia M. A. G., Marshall J. L., McMahon J., Melchior P., Menanteau F., Miquel R., Mohr J. J., Moodley K., Morgan R., Nati F., Page L., Ogando R. L. C., Palmese A., Paz-Chinchon F., Malagon A. A. P., Pieres A., Romer A. K., Rozo E., Sanchez E., Scarpine V., Schillaci A., Schubnell M., Serrano S., Sevilla-Noarbe I., Sheldon E., Shin T., Sifon C., Smith M., Soares-Santos M., Suchyta E., Swanson M. E. C., Tarle G., Thomas D., Tucker D. L., Varga T. N., Weller J., Wechsler R. H., Wilkinson R. D., Wollack E. J., and Xu Z.
Published: 2022

15. Cross-correlation of Dark Energy Survey Year 3 lensing data with ACT and Planck thermal Sunyaev-Zel'dovich effect observations. II. Modeling and constraints on halo pressure profiles

Author: Pandey, S, Gatti, M, Baxter, E, Hill, J, Fang, X, Doux, C, Giannini, G, Raveri, M, Derose, J, Huang, H, Moser, E, Battaglia, N, Alarcon, A, Amon, A, Becker, M, Campos, A, Chang, C, Chen, R, Choi, A, Eckert, K, Elvin-Poole, J, Everett, S, Ferte, A, Harrison, I, Maccrann, N, Mccullough, J, Myles, J, Navarro Alsina, A, Prat, J, Rollins, R, Sanchez, C, Shin, T, Troxel, M, Tutusaus, I, Yin, B, Aguena, M, Allam, S, Andrade-Oliveira, F, Bernstein, G, Bertin, E, Bolliet, B, Bond, J, Brooks, D, Calabrese, E, Carnero Rosell, A, Carrasco Kind, M, Carretero, J, Cawthon, R, Costanzi, M, Crocce, M, Da Costa, L, Pereira, M, De Vicente, J, Desai, S, Diehl, H, Dietrich, J, Doel, P, Dunkley, J, Evrard, A, Ferraro, S, Ferrero, I, Flaugher, B, Fosalba, P, Garcia-Bellido, J, Gaztanaga, E, Gerdes, D, Giannantonio, T, Gruen, D, Gruendl, R, Gschwend, J, Gutierrez, G, Herner, K, Hincks, A, Hinton, S, Hollowood, D, Honscheid, K, Hughes, J, Huterer, D, Jain, B, James, D, Jeltema, T, Krause, E, Kuehn, K, Lahav, O, Lima, M, Lokken, M, Madhavacheril, M, Maia, M, Mcmahon, J, Melchior, P, Menanteau, F, Miquel, R, Mohr, J, Moodley, K, Morgan, R, Nati, F, Niemack, M, Page, L, Palmese, A, Paz-Chinchon, F, Pieres, A, Plazas Malagon, A, Rodriguez-Monroy, M, Romer, A, Sanchez, E, Scarpine, V, Schaan, E, Serrano, S, Sevilla-Noarbe, I, Sheldon, E, Sherwin, B, Sifon, C, Smith, M, Soares-Santos, M, Spergel, D, Suchyta, E, Swanson, M, Tarle, G, Thomas, D, To, C, Varga, T, Weller, J, Wollack, E, Xu, Z, Pandey S., Gatti M., Baxter E., Hill J. C., Fang X., Doux C., Giannini G., Raveri M., Derose J., Huang H., Moser E., Battaglia N., Alarcon A., Amon A., Becker M., Campos A., Chang C., Chen R., Choi A., Eckert K., Elvin-Poole J., Everett S., Ferte A., Harrison I., Maccrann N., McCullough J., Myles J., Navarro Alsina A., Prat J., Rollins R. P., Sanchez C., Shin T., Troxel M., Tutusaus I., Yin B., Aguena M., Allam S., Andrade-Oliveira F., Bernstein G. M., Bertin E., Bolliet B., Bond J. R., Brooks D., Calabrese E., Carnero Rosell A., Carrasco Kind M., Carretero J., Cawthon R., Costanzi M., Crocce M., Da Costa L. N., Pereira M. E. S., De Vicente J., Desai S., Diehl H. T., Dietrich J. P., Doel P., Dunkley J., Evrard A. E., Ferraro S., Ferrero I., Flaugher B., Fosalba P., Garcia-Bellido J., Gaztanaga E., Gerdes D. W., Giannantonio T., Gruen D., Gruendl R. A., Gschwend J., Gutierrez G., Herner K., Hincks A. D., Hinton S. R., Hollowood D. L., Honscheid K., Hughes J. P., Huterer D., Jain B., James D. J., Jeltema T., Krause E., Kuehn K., Lahav O., Lima M., Lokken M., Madhavacheril M. S., Maia M. A. G., McMahon J. J., Melchior P., Menanteau F., Miquel R., Mohr J. J., Moodley K., Morgan R., Nati F., Niemack M. D., Page L., Palmese A., Paz-Chinchon F., Pieres A., Plazas Malagon A. A., Rodriguez-Monroy M., Romer A. K., Sanchez E., Scarpine V., Schaan E., Serrano S., Sevilla-Noarbe I., Sheldon E., Sherwin B. D., Sifon C., Smith M., Soares-Santos M., Spergel D., Suchyta E., Swanson M. E. C., Tarle G., Thomas D., To C., Varga T. N., Weller J., Wollack E. J., Xu Z., Pandey, S, Gatti, M, Baxter, E, Hill, J, Fang, X, Doux, C, Giannini, G, Raveri, M, Derose, J, Huang, H, Moser, E, Battaglia, N, Alarcon, A, Amon, A, Becker, M, Campos, A, Chang, C, Chen, R, Choi, A, Eckert, K, Elvin-Poole, J, Everett, S, Ferte, A, Harrison, I, Maccrann, N, Mccullough, J, Myles, J, Navarro Alsina, A, Prat, J, Rollins, R, Sanchez, C, Shin, T, Troxel, M, Tutusaus, I, Yin, B, Aguena, M, Allam, S, Andrade-Oliveira, F, Bernstein, G, Bertin, E, Bolliet, B, Bond, J, Brooks, D, Calabrese, E, Carnero Rosell, A, Carrasco Kind, M, Carretero, J, Cawthon, R, Costanzi, M, Crocce, M, Da Costa, L, Pereira, M, De Vicente, J, Desai, S, Diehl, H, Dietrich, J, Doel, P, Dunkley, J, Evrard, A, Ferraro, S, Ferrero, I, Flaugher, B, Fosalba, P, Garcia-Bellido, J, Gaztanaga, E, Gerdes, D, Giannantonio, T, Gruen, D, Gruendl, R, Gschwend, J, Gutierrez, G, Herner, K, Hincks, A, Hinton, S, Hollowood, D, Honscheid, K, Hughes, J, Huterer, D, Jain, B, James, D, Jeltema, T, Krause, E, Kuehn, K, Lahav, O, Lima, M, Lokken, M, Madhavacheril, M, Maia, M, Mcmahon, J, Melchior, P, Menanteau, F, Miquel, R, Mohr, J, Moodley, K, Morgan, R, Nati, F, Niemack, M, Page, L, Palmese, A, Paz-Chinchon, F, Pieres, A, Plazas Malagon, A, Rodriguez-Monroy, M, Romer, A, Sanchez, E, Scarpine, V, Schaan, E, Serrano, S, Sevilla-Noarbe, I, Sheldon, E, Sherwin, B, Sifon, C, Smith, M, Soares-Santos, M, Spergel, D, Suchyta, E, Swanson, M, Tarle, G, Thomas, D, To, C, Varga, T, Weller, J, Wollack, E, Xu, Z, Pandey S., Gatti M., Baxter E., Hill J. C., Fang X., Doux C., Giannini G., Raveri M., Derose J., Huang H., Moser E., Battaglia N., Alarcon A., Amon A., Becker M., Campos A., Chang C., Chen R., Choi A., Eckert K., Elvin-Poole J., Everett S., Ferte A., Harrison I., Maccrann N., McCullough J., Myles J., Navarro Alsina A., Prat J., Rollins R. P., Sanchez C., Shin T., Troxel M., Tutusaus I., Yin B., Aguena M., Allam S., Andrade-Oliveira F., Bernstein G. M., Bertin E., Bolliet B., Bond J. R., Brooks D., Calabrese E., Carnero Rosell A., Carrasco Kind M., Carretero J., Cawthon R., Costanzi M., Crocce M., Da Costa L. N., Pereira M. E. S., De Vicente J., Desai S., Diehl H. T., Dietrich J. P., Doel P., Dunkley J., Evrard A. E., Ferraro S., Ferrero I., Flaugher B., Fosalba P., Garcia-Bellido J., Gaztanaga E., Gerdes D. W., Giannantonio T., Gruen D., Gruendl R. A., Gschwend J., Gutierrez G., Herner K., Hincks A. D., Hinton S. R., Hollowood D. L., Honscheid K., Hughes J. P., Huterer D., Jain B., James D. J., Jeltema T., Krause E., Kuehn K., Lahav O., Lima M., Lokken M., Madhavacheril M. S., Maia M. A. G., McMahon J. J., Melchior P., Menanteau F., Miquel R., Mohr J. J., Moodley K., Morgan R., Nati F., Niemack M. D., Page L., Palmese A., Paz-Chinchon F., Pieres A., Plazas Malagon A. A., Rodriguez-Monroy M., Romer A. K., Sanchez E., Scarpine V., Schaan E., Serrano S., Sevilla-Noarbe I., Sheldon E., Sherwin B. D., Sifon C., Smith M., Soares-Santos M., Spergel D., Suchyta E., Swanson M. E. C., Tarle G., Thomas D., To C., Varga T. N., Weller J., Wollack E. J., and Xu Z.
Abstract: Hot, ionized gas leaves an imprint on the cosmic microwave background via the thermal Sunyaev-Zel'dovich (tSZ) effect. The cross-correlation of gravitational lensing (which traces the projected mass) with the tSZ effect (which traces the projected gas pressure) is a powerful probe of the thermal state of ionized baryons throughout the Universe and is sensitive to effects such as baryonic feedback. In a companion paper (Gatti et al. Phys. Rev. D 105, 123525 (2022)PRVDAQ2470-0010), we present tomographic measurements and validation tests of the cross-correlation between Galaxy shear measurements from the first three years of observations of the Dark Energy Survey and tSZ measurements from a combination of Atacama Cosmology Telescope and Planck observations. In this work, we use the same measurements to constrain models for the pressure profiles of halos across a wide range of halo mass and redshift. We find evidence for reduced pressure in low-mass halos, consistent with predictions for the effects of feedback from active Galactic nuclei. We infer the hydrostatic mass bias (BM500c/MSZ) from our measurements, finding B=1.8±0.1 when adopting the Planck-preferred cosmological parameters. We additionally find that our measurements are consistent with a nonzero redshift evolution of B, with the correct sign and sufficient magnitude to explain the mass bias necessary to reconcile cluster count measurements with the Planck-preferred cosmology. Our analysis introduces a model for the impact of intrinsic alignments (IAs) of galaxy shapes on the shear-tSZ correlation. We show that IA can have a significant impact on these correlations at current noise levels.
Published: 2022

16. The XMM Cluster Survey : Exploring scaling relations and completeness of the Dark Energy Survey Year 3 redMaPPer cluster catalogue

Author: Upsdell, E W, Giles, P A, Romer, A K, Wilkinson, R, Turner, D J, Hilton, M, Rykoff, E, Farahi, A, Bhargava, S, Jeltema, T, Klein, M, Bermeo, A, Collins, C A, Ebrahimpour, L, Hollowood, D, Mann, R G, Manolopoulou, M, Miller, C J, Rooney, P J, Sahlén, Martin, Stott, J P, Viana, P T P, Allam, S, Alves, O, Bacon, D, Bertin, E, Bocquet, S, Brooks, D, Burke, D L, Kind, M Carrasco, Carretero, J, Costanzi, M, da Costa, L N, Pereira, M E S, De Vicente, J, Desai, S, Diehl, H T, Dietrich, J P, Everett, S, Ferrero, I, Frieman, J, García-Bellido, J, Gerdes, D W, Gutierrez, G, Hinton, S R, Honscheid, K, James, D J, Kuehn, K, Kuropatkin, N, Lima, M, Marshall, J L, Mena-Fernández, J, Menanteau, F, Miquel, R, Mohr, J J, Ogando, R L C, Pieres, A, Raveri, M, Rodriguez-Monroy, M, Sanchez, E, Scarpine, V, Sevilla-Noarbe, I, Smith, M, Suchyta, E, Swanson, M E C, Tarle, G, To, C, Weaverdyck, N, Weller, J, Wiseman, P, Upsdell, E W, Giles, P A, Romer, A K, Wilkinson, R, Turner, D J, Hilton, M, Rykoff, E, Farahi, A, Bhargava, S, Jeltema, T, Klein, M, Bermeo, A, Collins, C A, Ebrahimpour, L, Hollowood, D, Mann, R G, Manolopoulou, M, Miller, C J, Rooney, P J, Sahlén, Martin, Stott, J P, Viana, P T P, Allam, S, Alves, O, Bacon, D, Bertin, E, Bocquet, S, Brooks, D, Burke, D L, Kind, M Carrasco, Carretero, J, Costanzi, M, da Costa, L N, Pereira, M E S, De Vicente, J, Desai, S, Diehl, H T, Dietrich, J P, Everett, S, Ferrero, I, Frieman, J, García-Bellido, J, Gerdes, D W, Gutierrez, G, Hinton, S R, Honscheid, K, James, D J, Kuehn, K, Kuropatkin, N, Lima, M, Marshall, J L, Mena-Fernández, J, Menanteau, F, Miquel, R, Mohr, J J, Ogando, R L C, Pieres, A, Raveri, M, Rodriguez-Monroy, M, Sanchez, E, Scarpine, V, Sevilla-Noarbe, I, Smith, M, Suchyta, E, Swanson, M E C, Tarle, G, To, C, Weaverdyck, N, Weller, J, and Wiseman, P
Published: 2023

17. The PSZ-MCMF catalogue of Planck clusters over the DES region

Author: Hernández-Lang, D, Hernández-Lang, D, Klein, M, Mohr, JJ, Grandis, S, Melin, J-B, Tarrío, P, Arnaud, M, Pratt, GW, Abbott, TMC, Aguena, M, Alves, O, Andrade-Oliveira, F, Bacon, D, Bertin, E, Brooks, D, Burke, DL, Rosell, A Carnero, Kind, M Carrasco, Carretero, J, Castander, FJ, Costanzi, M, da Costa, LN, Pereira, MES, Desai, S, Diehl, HT, Doel, P, Everett, S, Ferrero, I, Flaugher, B, Frieman, J, García-Bellido, J, Gruen, D, Gruendl, RA, Gschwend, J, Gutierrez, G, Hinton, SR, Hollowood, DL, Honscheid, K, James, DJ, Kuehn, K, Kuropatkin, N, Lahav, O, Lidman, C, Melchior, P, Mena-Fernández, J, Menanteau, F, Miquel, R, Palmese, A, Paz-Chinchón, F, Pieres, A, Malagón, AA Plazas, Raveri, M, Rodriguez-Monroy, M, Romer, AK, Scarpine, V, Sevilla-Noarbe, I, Smith, M, Suchyta, E, Tarle, G, Thomas, D, Weaverdyck, N, Hernández-Lang, D, Hernández-Lang, D, Klein, M, Mohr, JJ, Grandis, S, Melin, J-B, Tarrío, P, Arnaud, M, Pratt, GW, Abbott, TMC, Aguena, M, Alves, O, Andrade-Oliveira, F, Bacon, D, Bertin, E, Brooks, D, Burke, DL, Rosell, A Carnero, Kind, M Carrasco, Carretero, J, Castander, FJ, Costanzi, M, da Costa, LN, Pereira, MES, Desai, S, Diehl, HT, Doel, P, Everett, S, Ferrero, I, Flaugher, B, Frieman, J, García-Bellido, J, Gruen, D, Gruendl, RA, Gschwend, J, Gutierrez, G, Hinton, SR, Hollowood, DL, Honscheid, K, James, DJ, Kuehn, K, Kuropatkin, N, Lahav, O, Lidman, C, Melchior, P, Mena-Fernández, J, Menanteau, F, Miquel, R, Palmese, A, Paz-Chinchón, F, Pieres, A, Malagón, AA Plazas, Raveri, M, Rodriguez-Monroy, M, Romer, AK, Scarpine, V, Sevilla-Noarbe, I, Smith, M, Suchyta, E, Tarle, G, Thomas, D, and Weaverdyck, N
Published: 2023

18. The XMM cluster survey: exploring scaling relations and completeness of the dark energy survey year 3 redMaPPer cluster catalogue

Author: Upsdell, EW, Upsdell, EW, Giles, PA, Romer, AK, Wilkinson, R, Turner, DJ, Hilton, M, Rykoff, E, Farahi, A, Bhargava, S, Jeltema, T, Klein, M, Bermeo, A, Collins, CA, Ebrahimpour, L, Hollowood, D, Mann, RG, Manolopoulou, M, Miller, CJ, Rooney, PJ, Sahlén, Martin, Stott, JP, Viana, PTP, Allam, S, Alves, O, Bacon, D, Bertin, E, Bocquet, S, Brooks, D, Burke, DL, Kind, M Carrasco, Carretero, J, Costanzi, M, da Costa, LN, Pereira, MES, De Vicente, J, Desai, S, Diehl, HT, Dietrich, JP, Everett, S, Ferrero, I, Frieman, J, García-Bellido, J, Gerdes, DW, Gutierrez, G, Hinton, SR, Honscheid, K, James, DJ, Kuehn, K, Kuropatkin, N, Lima, M, Marshall, JL, Mena-Fernández, J, Menanteau, F, Miquel, R, Mohr, JJ, Ogando, RLC, Pieres, A, Raveri, M, Rodriguez-Monroy, M, Sanchez, E, Scarpine, V, Sevilla-Noarbe, I, Smith, M, Suchyta, E, Swanson, MEC, Tarle, G, To, C, Weaverdyck, N, Weller, J, Wiseman, P, Upsdell, EW, Upsdell, EW, Giles, PA, Romer, AK, Wilkinson, R, Turner, DJ, Hilton, M, Rykoff, E, Farahi, A, Bhargava, S, Jeltema, T, Klein, M, Bermeo, A, Collins, CA, Ebrahimpour, L, Hollowood, D, Mann, RG, Manolopoulou, M, Miller, CJ, Rooney, PJ, Sahlén, Martin, Stott, JP, Viana, PTP, Allam, S, Alves, O, Bacon, D, Bertin, E, Bocquet, S, Brooks, D, Burke, DL, Kind, M Carrasco, Carretero, J, Costanzi, M, da Costa, LN, Pereira, MES, De Vicente, J, Desai, S, Diehl, HT, Dietrich, JP, Everett, S, Ferrero, I, Frieman, J, García-Bellido, J, Gerdes, DW, Gutierrez, G, Hinton, SR, Honscheid, K, James, DJ, Kuehn, K, Kuropatkin, N, Lima, M, Marshall, JL, Mena-Fernández, J, Menanteau, F, Miquel, R, Mohr, JJ, Ogando, RLC, Pieres, A, Raveri, M, Rodriguez-Monroy, M, Sanchez, E, Scarpine, V, Sevilla-Noarbe, I, Smith, M, Suchyta, E, Swanson, MEC, Tarle, G, To, C, Weaverdyck, N, Weller, J, and Wiseman, P
Published: 2023

19. OzDES Reverberation Mapping Programme: Mg ii lags and R−L relation

Author: Yu, Zhefu, Yu, Zhefu, Martini, Paul, Penton, A, Davis, TM, Kochanek, CS, Lewis, GF, Lidman, C, Malik, U, Sharp, R, Tucker, BE, Aguena, M, Annis, J, Bertin, E, Bocquet, S, Brooks, D, Rosell, A Carnero, Carollo, D, Kind, M Carrasco, Carretero, J, Costanzi, M, da Costa, LN, Pereira, MES, De Vicente, J, Diehl, HT, Doel, P, Everett, S, Ferrero, I, García-Bellido, J, Gatti, M, Gerdes, DW, Gruen, D, Gruendl, RA, Gschwend, J, Gutierrez, G, Hinton, SR, Hollowood, DL, Honscheid, K, James, DJ, Kuehn, K, Mena-Fernández, J, Menanteau, F, Miquel, R, Nichol, B, Paz-Chinchón, F, Pieres, A, Malagón, AA Plazas, Raveri, M, Romer, AK, Sanchez, E, Scarpine, V, Sevilla-Noarbe, I, Smith, M, Suchyta, E, Swanson, MEC, Tarle, G, Vincenzi, M, Walker, AR, Weaverdyck, N, Yu, Zhefu, Yu, Zhefu, Martini, Paul, Penton, A, Davis, TM, Kochanek, CS, Lewis, GF, Lidman, C, Malik, U, Sharp, R, Tucker, BE, Aguena, M, Annis, J, Bertin, E, Bocquet, S, Brooks, D, Rosell, A Carnero, Carollo, D, Kind, M Carrasco, Carretero, J, Costanzi, M, da Costa, LN, Pereira, MES, De Vicente, J, Diehl, HT, Doel, P, Everett, S, Ferrero, I, García-Bellido, J, Gatti, M, Gerdes, DW, Gruen, D, Gruendl, RA, Gschwend, J, Gutierrez, G, Hinton, SR, Hollowood, DL, Honscheid, K, James, DJ, Kuehn, K, Mena-Fernández, J, Menanteau, F, Miquel, R, Nichol, B, Paz-Chinchón, F, Pieres, A, Malagón, AA Plazas, Raveri, M, Romer, AK, Sanchez, E, Scarpine, V, Sevilla-Noarbe, I, Smith, M, Suchyta, E, Swanson, MEC, Tarle, G, Vincenzi, M, Walker, AR, and Weaverdyck, N
Published: 2023

20. Characterizing the intracluster light over the redshift range 0.2 < z < 0.8 in the DES-ACT overlap

Author: Golden-Marx, Jesse B, Golden-Marx, Jesse B, Zhang, Y, Ogando, RLC, Allam, S, Tucker, DL, Miller, CJ, Hilton, M, Mutlu-Pakdil, B, Abbott, TMC, Aguena, M, Alves, O, Andrade-Oliveira, F, Annis, J, Bacon, D, Bertin, E, Bocquet, S, Brooks, D, Burke, DL, Rosell, A Carnero, Kind, M Carrasco, Castander, FJ, Conselice, C, Costanzi, M, da Costa, LN, Pereira, MES, De Vicente, J, Desai, S, Doel, P, Everett, S, Ferrero, I, Flaugher, B, Frieman, J, García-Bellido, J, Gerdes, DW, Gruen, D, Gruendl, RA, Gutierrez, G, Hinton, SR, Hollowood, DL, Honscheid, K, James, DJ, Kuehn, K, Kuropatkin, N, Lahav, O, Marshall, JL, Melchior, P, Mena-Fernández, J, Miquel, R, Mohr, JJ, Palmese, A, Paz-Chinchón, F, Pieres, A, Malagón, AA Plazas, Prat, J, Raveri, M, Rodriguez-Monroy, M, Romer, AK, Sanchez, E, Scarpine, V, Sevilla-Noarbe, I, Sifón, C, Smith, M, Suchyta, E, Swanson, MEC, Tarle, G, Vincenzi, M, Weaverdyck, N, Yanny, B, Golden-Marx, Jesse B, Golden-Marx, Jesse B, Zhang, Y, Ogando, RLC, Allam, S, Tucker, DL, Miller, CJ, Hilton, M, Mutlu-Pakdil, B, Abbott, TMC, Aguena, M, Alves, O, Andrade-Oliveira, F, Annis, J, Bacon, D, Bertin, E, Bocquet, S, Brooks, D, Burke, DL, Rosell, A Carnero, Kind, M Carrasco, Castander, FJ, Conselice, C, Costanzi, M, da Costa, LN, Pereira, MES, De Vicente, J, Desai, S, Doel, P, Everett, S, Ferrero, I, Flaugher, B, Frieman, J, García-Bellido, J, Gerdes, DW, Gruen, D, Gruendl, RA, Gutierrez, G, Hinton, SR, Hollowood, DL, Honscheid, K, James, DJ, Kuehn, K, Kuropatkin, N, Lahav, O, Marshall, JL, Melchior, P, Mena-Fernández, J, Miquel, R, Mohr, JJ, Palmese, A, Paz-Chinchón, F, Pieres, A, Malagón, AA Plazas, Prat, J, Raveri, M, Rodriguez-Monroy, M, Romer, AK, Sanchez, E, Scarpine, V, Sevilla-Noarbe, I, Sifón, C, Smith, M, Suchyta, E, Swanson, MEC, Tarle, G, Vincenzi, M, Weaverdyck, N, and Yanny, B
Published: 2023

21. Dark Energy Survey Year 3 results: magnification modelling and impact on cosmological constraints from galaxy clustering and galaxy–galaxy lensing

Author: Elvin-Poole, J, Elvin-Poole, J, MacCrann, N, Everett, S, Prat, J, Rykoff, ES, De Vicente, J, Yanny, B, Herner, K, Ferté, A, Di Valentino, E, Choi, A, Burke, DL, Sevilla-Noarbe, I, Alarcon, A, Alves, O, Amon, A, Andrade-Oliveira, F, Baxter, E, Bechtol, K, Becker, MR, Bernstein, GM, Blazek, J, Camacho, H, Campos, A, Rosell, A Carnero, Kind, M Carrasco, Cawthon, R, Chang, C, Chen, R, Cordero, J, Crocce, M, Davis, C, DeRose, J, Diehl, HT, Dodelson, S, Doux, C, Drlica-Wagner, A, Eckert, K, Eifler, TF, Elsner, F, Fang, X, Fosalba, P, Friedrich, O, Gatti, M, Giannini, G, Gruen, D, Gruendl, RA, Harrison, I, Hartley, WG, Huang, H, Huff, EM, Huterer, D, Krause, E, Kuropatkin, N, Leget, P-F, Lemos, P, Liddle, AR, McCullough, J, Muir, J, Myles, J, Navarro-Alsina, A, Pandey, S, Park, Y, Porredon, A, Raveri, M, Rodriguez-Monroy, M, Rollins, RP, Roodman, A, Rosenfeld, R, Ross, AJ, Sánchez, C, Sanchez, J, Secco, LF, Sheldon, E, Shin, T, Troxel, MA, Tutusaus, I, Varga, TN, Weaverdyck, N, Wechsler, RH, Yin, B, Zhang, Y, Zuntz, J, Aguena, M, Avila, S, Bacon, D, Bertin, E, Bocquet, S, Brooks, D, García-Bellido, J, Honscheid, K, Jarvis, M, Li, TS, Mena-Fernández, J, To, C, Wilkinson, RD, Collaboration, DES, Elvin-Poole, J, Elvin-Poole, J, MacCrann, N, Everett, S, Prat, J, Rykoff, ES, De Vicente, J, Yanny, B, Herner, K, Ferté, A, Di Valentino, E, Choi, A, Burke, DL, Sevilla-Noarbe, I, Alarcon, A, Alves, O, Amon, A, Andrade-Oliveira, F, Baxter, E, Bechtol, K, Becker, MR, Bernstein, GM, Blazek, J, Camacho, H, Campos, A, Rosell, A Carnero, Kind, M Carrasco, Cawthon, R, Chang, C, Chen, R, Cordero, J, Crocce, M, Davis, C, DeRose, J, Diehl, HT, Dodelson, S, Doux, C, Drlica-Wagner, A, Eckert, K, Eifler, TF, Elsner, F, Fang, X, Fosalba, P, Friedrich, O, Gatti, M, Giannini, G, Gruen, D, Gruendl, RA, Harrison, I, Hartley, WG, Huang, H, Huff, EM, Huterer, D, Krause, E, Kuropatkin, N, Leget, P-F, Lemos, P, Liddle, AR, McCullough, J, Muir, J, Myles, J, Navarro-Alsina, A, Pandey, S, Park, Y, Porredon, A, Raveri, M, Rodriguez-Monroy, M, Rollins, RP, Roodman, A, Rosenfeld, R, Ross, AJ, Sánchez, C, Sanchez, J, Secco, LF, Sheldon, E, Shin, T, Troxel, MA, Tutusaus, I, Varga, TN, Weaverdyck, N, Wechsler, RH, Yin, B, Zhang, Y, Zuntz, J, Aguena, M, Avila, S, Bacon, D, Bertin, E, Bocquet, S, Brooks, D, García-Bellido, J, Honscheid, K, Jarvis, M, Li, TS, Mena-Fernández, J, To, C, Wilkinson, RD, and Collaboration, DES
Published: 2023

22. Non-local contribution from small scales in galaxy–galaxy lensing: comparison of mitigation schemes

Author: Prat, J, Prat, J, Zacharegkas, G, Park, Y, MacCrann, N, Switzer, ER, Pandey, S, Chang, C, Blazek, J, Miquel, R, Alarcon, A, Alves, O, Amon, A, Andrade-Oliveira, F, Bechtol, K, Becker, MR, Bernstein, GM, Chen, R, Choi, A, Camacho, H, Campos, A, Rosell, A Carnero, Kind, M Carrasco, Cawthon, R, Cordero, J, Crocce, M, Davis, C, DeRose, J, Diehl, HT, Dodelson, S, Doux, C, Drlica-Wagner, A, Eckert, K, Eifler, TF, Elvin-Poole, J, Everett, S, Fang, X, Ferté, A, Fosalba, P, Friedrich, O, Gatti, M, Giannini, G, Gruen, D, Gruendl, RA, Harrison, I, Hartley, WG, Herner, K, Huang, H, Huff, EM, Jarvis, M, Krause, E, Kuropatkin, N, Leget, P-F, McCullough, J, Myles, J, Navarro-Alsina, A, Porredon, A, Raveri, M, Rollins, RP, Roodman, A, Rosenfeld, R, Ross, AJ, Rykoff, ES, Sánchez, C, Sanchez, J, Secco, LF, Sevilla-Noarbe, I, Sheldon, E, Shin, T, Troxel, MA, Tutusaus, I, Varga, TN, Yanny, B, Yin, B, Zhang, Y, Zuntz, J, Aguena, M, Allam, S, Annis, J, Bacon, D, Bertin, E, Bocquet, S, Brooks, D, Burke, DL, Carretero, J, Costanzi, M, Pereira, MES, De Vicente, J, Desai, S, Ferrero, I, Flaugher, B, Gerdes, DW, Gutierrez, G, Hinton, SR, Hollowood, DL, Honscheid, K, James, DJ, Lima, M, Menanteau, F, Mena-Fernández, J, Palmese, A, Prat, J, Prat, J, Zacharegkas, G, Park, Y, MacCrann, N, Switzer, ER, Pandey, S, Chang, C, Blazek, J, Miquel, R, Alarcon, A, Alves, O, Amon, A, Andrade-Oliveira, F, Bechtol, K, Becker, MR, Bernstein, GM, Chen, R, Choi, A, Camacho, H, Campos, A, Rosell, A Carnero, Kind, M Carrasco, Cawthon, R, Cordero, J, Crocce, M, Davis, C, DeRose, J, Diehl, HT, Dodelson, S, Doux, C, Drlica-Wagner, A, Eckert, K, Eifler, TF, Elvin-Poole, J, Everett, S, Fang, X, Ferté, A, Fosalba, P, Friedrich, O, Gatti, M, Giannini, G, Gruen, D, Gruendl, RA, Harrison, I, Hartley, WG, Herner, K, Huang, H, Huff, EM, Jarvis, M, Krause, E, Kuropatkin, N, Leget, P-F, McCullough, J, Myles, J, Navarro-Alsina, A, Porredon, A, Raveri, M, Rollins, RP, Roodman, A, Rosenfeld, R, Ross, AJ, Rykoff, ES, Sánchez, C, Sanchez, J, Secco, LF, Sevilla-Noarbe, I, Sheldon, E, Shin, T, Troxel, MA, Tutusaus, I, Varga, TN, Yanny, B, Yin, B, Zhang, Y, Zuntz, J, Aguena, M, Allam, S, Annis, J, Bacon, D, Bertin, E, Bocquet, S, Brooks, D, Burke, DL, Carretero, J, Costanzi, M, Pereira, MES, De Vicente, J, Desai, S, Ferrero, I, Flaugher, B, Gerdes, DW, Gutierrez, G, Hinton, SR, Hollowood, DL, Honscheid, K, James, DJ, Lima, M, Menanteau, F, Mena-Fernández, J, and Palmese, A
Published: 2023

23. Consistent lensing and clustering in a low-S-8 Universe with BOSS, DES Year 3, HSC Year 1, and KiDS-1000

Author: Amon, A, Amon, A, Robertson, NC, Miyatake, H, Heymans, C, White, M, DeRose, J, Yuan, S, Wechsler, RH, Varga, TN, Bocquet, S, Dvornik, A, More, S, Ross, AJ, Hoekstra, H, Alarcon, A, Asgari, M, Blazek, J, Campos, A, Chen, R, Choi, A, Crocce, M, Diehl, HT, Doux, C, Eckert, K, Elvin-Poole, J, Everett, S, Ferte, A, Gatti, M, Giannini, G, Gruen, D, Gruendl, RA, Hartley, WG, Herner, K, Hildebrandt, H, Huang, S, Huff, EM, Joachimi, B, Lee, S, MacCrann, N, Myles, J, Navarro-Alsina, A, Nishimichi, T, Prat, J, Secco, LF, Sevilla-Noarbe, I, Sheldon, E, Shin, T, Troster, T, Troxel, MA, Tutusaus, I, Wright, AH, Yin, B, Aguena, M, Allam, S, Annis, J, Bacon, D, Bilicki, M, Brooks, D, Burke, DL, Rosell, A Carnero, Carretero, J, Castander, FJ, Cawthon, R, Costanzi, M, da Costa, LN, Pereira, MES, de Jong, J, De Vicente, J, Desai, S, Dietrich, JP, Doel, P, Ferrero, I, Frieman, J, Garcia-Bellido, J, Gerdes, DW, Gschwend, J, Gutierrez, G, Hinton, SR, Hollowood, DL, Honscheid, K, Huterer, D, Kannawadi, A, Kuehn, K, Kuropatkin, N, Lahav, O, Lima, M, Maia, MAG, Marshall, JL, Menanteau, F, Miquel, R, Mohr, JJ, Morgan, R, Muir, J, Paz-Chinchon, F, Pieres, A, Malagon, AA Plazas, Porredon, A, Rodriguez-Monroy, M, Roodman, A, Sanchez, E, Amon, A, Amon, A, Robertson, NC, Miyatake, H, Heymans, C, White, M, DeRose, J, Yuan, S, Wechsler, RH, Varga, TN, Bocquet, S, Dvornik, A, More, S, Ross, AJ, Hoekstra, H, Alarcon, A, Asgari, M, Blazek, J, Campos, A, Chen, R, Choi, A, Crocce, M, Diehl, HT, Doux, C, Eckert, K, Elvin-Poole, J, Everett, S, Ferte, A, Gatti, M, Giannini, G, Gruen, D, Gruendl, RA, Hartley, WG, Herner, K, Hildebrandt, H, Huang, S, Huff, EM, Joachimi, B, Lee, S, MacCrann, N, Myles, J, Navarro-Alsina, A, Nishimichi, T, Prat, J, Secco, LF, Sevilla-Noarbe, I, Sheldon, E, Shin, T, Troster, T, Troxel, MA, Tutusaus, I, Wright, AH, Yin, B, Aguena, M, Allam, S, Annis, J, Bacon, D, Bilicki, M, Brooks, D, Burke, DL, Rosell, A Carnero, Carretero, J, Castander, FJ, Cawthon, R, Costanzi, M, da Costa, LN, Pereira, MES, de Jong, J, De Vicente, J, Desai, S, Dietrich, JP, Doel, P, Ferrero, I, Frieman, J, Garcia-Bellido, J, Gerdes, DW, Gschwend, J, Gutierrez, G, Hinton, SR, Hollowood, DL, Honscheid, K, Huterer, D, Kannawadi, A, Kuehn, K, Kuropatkin, N, Lahav, O, Lima, M, Maia, MAG, Marshall, JL, Menanteau, F, Miquel, R, Mohr, JJ, Morgan, R, Muir, J, Paz-Chinchon, F, Pieres, A, Malagon, AA Plazas, Porredon, A, Rodriguez-Monroy, M, Roodman, A, and Sanchez, E
Abstract: We evaluate the consistency between lensing and clustering based on measurements from Baryon Oscillation Spectroscopic Survey combined with galaxy–galaxy lensing from Dark Energy Survey (DES) Year 3, Hyper Suprime-Cam Subaru Strategic Program (HSC) Year 1, and Kilo-Degree Survey (KiDS)-1000. We find good agreement between these lensing data sets. We model the observations using the Dark Emulator and fit the data at two fixed cosmologies: Planck (S8 = 0.83), and a Lensing cosmology (S8 = 0.76). For a joint analysis limited to large scales, we find that both cosmologies provide an acceptable fit to the data. Full utilization of the higher signal-to-noise small-scale measurements is hindered by uncertainty in the impact of baryon feedback and assembly bias, which we account for with a reasoned theoretical error budget. We incorporate a systematic inconsistency parameter for each redshift bin, A, that decouples the lensing and clustering. With a wide range of scales, we find different results for the consistency between the two cosmologies. Limiting the analysis to the bins for which the impact of the lens sample selection is expected to be minimal, for the Lensing cosmology, the measurements are consistent with A = 1; A = 0.91 ± 0.04 (A = 0.97 ± 0.06) using DES+KiDS (HSC). For the Planck case, we find a discrepancy: A = 0.79 ± 0.03 (A = 0.84 ± 0.05) using DES+KiDS (HSC). We demonstrate that a kinematic Sunyaev–Zeldovich-based estimate for baryonic effects alleviates some of the discrepancy in the Planck cosmology. This analysis demonstrates the statistical power of small-scale measurements; however, caution is still warranted given modelling uncertainties and foreground sample selection effects.
Published: 2023

24. The XMM cluster survey : exploring scaling relations and completeness of the dark energy survey year 3 redMaPPer cluster catalogue

Author: Upsdell, E. W., Giles, P. A., Romer, A. K., Wilkinson, R., Turner, D. J., Hilton, M., Rykoff, E., Farahi, A., Bhargava, S., Jeltema, T., Klein, M., Bermeo, A., Collins, C. A., Ebrahimpour, L., Hollowood, D., Mann, R. G., Manolopoulou, M., Miller, C. J., Rooney, P. J., Sahlén, Martin, Stott, J. P., Viana, P. T. P., Allam, S., Alves, O., Bacon, D., Bertin, E., Bocquet, S., Brooks, D., Burke, D. L., Carrasco Kind, M., Carretero, J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Dietrich, J. P., Everett, S., Ferrero, I, Frieman, J., Garcia-Bellido, J., Gerdes, D. W., Gutierrez, G., Hinton, S. R., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Lima, M., Marshall, J. L., Mena-Fernandez, J., Menanteau, F., Miquel, R., Mohr, J. J., Ogando, R. L. C., Pieres, A., Raveri, M., Rodriguez-Monroy, M., Sanchez, E., Scarpine, V, Sevilla-Noarbe, I, Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Weaverdyck, N., Weller, J., Wiseman, P., Upsdell, E. W., Giles, P. A., Romer, A. K., Wilkinson, R., Turner, D. J., Hilton, M., Rykoff, E., Farahi, A., Bhargava, S., Jeltema, T., Klein, M., Bermeo, A., Collins, C. A., Ebrahimpour, L., Hollowood, D., Mann, R. G., Manolopoulou, M., Miller, C. J., Rooney, P. J., Sahlén, Martin, Stott, J. P., Viana, P. T. P., Allam, S., Alves, O., Bacon, D., Bertin, E., Bocquet, S., Brooks, D., Burke, D. L., Carrasco Kind, M., Carretero, J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Dietrich, J. P., Everett, S., Ferrero, I, Frieman, J., Garcia-Bellido, J., Gerdes, D. W., Gutierrez, G., Hinton, S. R., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Lima, M., Marshall, J. L., Mena-Fernandez, J., Menanteau, F., Miquel, R., Mohr, J. J., Ogando, R. L. C., Pieres, A., Raveri, M., Rodriguez-Monroy, M., Sanchez, E., Scarpine, V, Sevilla-Noarbe, I, Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Weaverdyck, N., Weller, J., and Wiseman, P.
Abstract: We cross-match and compare characteristics of galaxy clusters identified in observations from two sky surveys using two completely different techniques. One sample is optically selected from the analysis of 3 years of Dark Energy Survey observations using the redMaPPer cluster detection algorithm. The second is X-ray selected from XMM observations analysed by the XMM Cluster Survey. The samples comprise a total area of 57.4 deg(2), bounded by the area of four contiguous XMM survey regions that overlap the DES footprint. We find that the X-ray-selected sample is fully matched with entries in the redMaPPer catalogue, above lambda > 20 and within 0.1 < z < 0.9. Conversely, only 38 per cent of the redMaPPer catalogue is matched to an X-ray extended source. Next, using 120 optically clusters and 184 X-ray-selected clusters, we investigate the form of the X-ray luminosity-temperature (L-X -T-X ), luminosity-richness (L-X - lambda), and temperature-richness (T-X - lambda) scaling relations. We find that the fitted forms of the L-X -T-X relations are consistent between the two selection methods and also with other studies in the literature. However, we find tentative evidence for a steepening of the slope of the relation for low richness systems in the X-ray-selected sample. When considering the scaling of richness with X-ray properties, we again find consistency in the relations (i.e. L-X - lambda and T-X - lambda) between the optical and X-ray-selected samples. This is contrary to previous similar works that find a significant increase in the scatter of the luminosity scaling relation for X-ray-selected samples compared to optically selected samples.
Published: 2023
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25. The XMM cluster survey : exploring scaling relations and completeness of the dark energy survey year 3 redMaPPer cluster catalogue

Author: Upsdell, E. W., Giles, P. A., Romer, A. K., Wilkinson, R., Turner, D. J., Hilton, M., Rykoff, E., Farahi, A., Bhargava, S., Jeltema, T., Klein, M., Bermeo, A., Collins, C. A., Ebrahimpour, L., Hollowood, D., Mann, R. G., Manolopoulou, M., Miller, C. J., Rooney, P. J., Sahlén, Martin, Stott, J. P., Viana, P. T. P., Allam, S., Alves, O., Bacon, D., Bertin, E., Bocquet, S., Brooks, D., Burke, D. L., Carrasco Kind, M., Carretero, J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Dietrich, J. P., Everett, S., Ferrero, I, Frieman, J., Garcia-Bellido, J., Gerdes, D. W., Gutierrez, G., Hinton, S. R., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Lima, M., Marshall, J. L., Mena-Fernandez, J., Menanteau, F., Miquel, R., Mohr, J. J., Ogando, R. L. C., Pieres, A., Raveri, M., Rodriguez-Monroy, M., Sanchez, E., Scarpine, V, Sevilla-Noarbe, I, Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Weaverdyck, N., Weller, J., Wiseman, P., Upsdell, E. W., Giles, P. A., Romer, A. K., Wilkinson, R., Turner, D. J., Hilton, M., Rykoff, E., Farahi, A., Bhargava, S., Jeltema, T., Klein, M., Bermeo, A., Collins, C. A., Ebrahimpour, L., Hollowood, D., Mann, R. G., Manolopoulou, M., Miller, C. J., Rooney, P. J., Sahlén, Martin, Stott, J. P., Viana, P. T. P., Allam, S., Alves, O., Bacon, D., Bertin, E., Bocquet, S., Brooks, D., Burke, D. L., Carrasco Kind, M., Carretero, J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Dietrich, J. P., Everett, S., Ferrero, I, Frieman, J., Garcia-Bellido, J., Gerdes, D. W., Gutierrez, G., Hinton, S. R., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Lima, M., Marshall, J. L., Mena-Fernandez, J., Menanteau, F., Miquel, R., Mohr, J. J., Ogando, R. L. C., Pieres, A., Raveri, M., Rodriguez-Monroy, M., Sanchez, E., Scarpine, V, Sevilla-Noarbe, I, Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Weaverdyck, N., Weller, J., and Wiseman, P.
Abstract: We cross-match and compare characteristics of galaxy clusters identified in observations from two sky surveys using two completely different techniques. One sample is optically selected from the analysis of 3 years of Dark Energy Survey observations using the redMaPPer cluster detection algorithm. The second is X-ray selected from XMM observations analysed by the XMM Cluster Survey. The samples comprise a total area of 57.4 deg(2), bounded by the area of four contiguous XMM survey regions that overlap the DES footprint. We find that the X-ray-selected sample is fully matched with entries in the redMaPPer catalogue, above lambda > 20 and within 0.1 < z < 0.9. Conversely, only 38 per cent of the redMaPPer catalogue is matched to an X-ray extended source. Next, using 120 optically clusters and 184 X-ray-selected clusters, we investigate the form of the X-ray luminosity-temperature (L-X -T-X ), luminosity-richness (L-X - lambda), and temperature-richness (T-X - lambda) scaling relations. We find that the fitted forms of the L-X -T-X relations are consistent between the two selection methods and also with other studies in the literature. However, we find tentative evidence for a steepening of the slope of the relation for low richness systems in the X-ray-selected sample. When considering the scaling of richness with X-ray properties, we again find consistency in the relations (i.e. L-X - lambda and T-X - lambda) between the optical and X-ray-selected samples. This is contrary to previous similar works that find a significant increase in the scatter of the luminosity scaling relation for X-ray-selected samples compared to optically selected samples.
Published: 2023
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26. Measurement of the mean central optical depth of galaxy clusters via the pairwise kinematic Sunyaev-Zel'dovich effect with SPT-3G and DES

Author: Schiappucci, E, Bianchini, F, Aguena, M, Archipley, M, Balkenhol, L, Bleem, LE, Chaubal, P, Crawford, TM, Grandis, S, Omori, Y, Reichardt, CL, Rozo, E, Rykoff, ES, To, C, Abbott, TMC, Ade, PAR, Alves, O, Anderson, AJ, Andrade-Oliveira, F, Annis, J, Avva, JS, Bacon, D, Benabed, K, Bender, AN, Benson, BA, Bernstein, GM, Bertin, E, Bocquet, S, Bouchet, FR, Brooks, D, Burke, DL, Carlstrom, JE, Rosell, AC, Kind, MC, Carretero, J, Cecil, TW, Chang, CL, Chichura, PM, Chou, T-L, Costanzi, M, Cukierman, A, da Costa, LN, Daley, C, de Haan, T, Desai, S, Dibert, KR, Diehl, HT, Dobbs, MA, Doel, P, Doux, C, Dutcher, D, Everett, S, Everett, W, Feng, C, Ferguson, KR, Ferrero, I, Ferte, A, Flaugher, B, Foster, A, Frieman, J, Galli, S, Gambrel, AE, Garcia-Bellido, J, Gardner, RW, Gatti, M, Giannantonio, T, Goeckner-Wald, N, Gruen, D, Gualtieri, R, Guns, S, Gutierrez, G, Halverson, NW, Hinton, SR, Hivon, E, Holder, GP, Hollowood, DL, Holzapfel, WL, Honscheid, K, Hood, JC, Huang, N, James, DJ, Knox, L, Korman, M, Kuehn, K, Kuo, C-L, Lahav, O, Lee, AT, Lidman, C, Lima, M, Lowitz, AE, Lu, C, March, M, Mena-Fernandez, J, Menanteau, F, Millea, M, Miquel, R, Mohr, JJ, Montgomery, J, Muir, J, Natoli, T, Noble, GI, Novosad, V, Ogando, RLC, Padin, S, Pan, Z, Paz-Chinchon, F, Pereira, MES, Pieres, A, Malagon, AAP, Prabhu, K, Prat, J, Quan, W, Rahlin, A, Raveri, M, Rodriguez-Monroy, M, Romer, AK, Rouble, M, Ruhl, JE, Sanchez, E, Scarpine, V, Schubnell, M, Smecher, G, Smith, M, Soares-Santos, M, Sobrin, JA, Suchyta, E, Suzuki, A, Tarle, G, Thomas, D, Thompson, KL, Thorne, B, Tucker, C, Umilta, C, Vieira, JD, Vincenzi, M, Wang, G, Weaverdyck, N, Weller, J, Whitehorn, N, Wu, WLK, Yefremenko, V, Young, MR, Schiappucci, E, Bianchini, F, Aguena, M, Archipley, M, Balkenhol, L, Bleem, LE, Chaubal, P, Crawford, TM, Grandis, S, Omori, Y, Reichardt, CL, Rozo, E, Rykoff, ES, To, C, Abbott, TMC, Ade, PAR, Alves, O, Anderson, AJ, Andrade-Oliveira, F, Annis, J, Avva, JS, Bacon, D, Benabed, K, Bender, AN, Benson, BA, Bernstein, GM, Bertin, E, Bocquet, S, Bouchet, FR, Brooks, D, Burke, DL, Carlstrom, JE, Rosell, AC, Kind, MC, Carretero, J, Cecil, TW, Chang, CL, Chichura, PM, Chou, T-L, Costanzi, M, Cukierman, A, da Costa, LN, Daley, C, de Haan, T, Desai, S, Dibert, KR, Diehl, HT, Dobbs, MA, Doel, P, Doux, C, Dutcher, D, Everett, S, Everett, W, Feng, C, Ferguson, KR, Ferrero, I, Ferte, A, Flaugher, B, Foster, A, Frieman, J, Galli, S, Gambrel, AE, Garcia-Bellido, J, Gardner, RW, Gatti, M, Giannantonio, T, Goeckner-Wald, N, Gruen, D, Gualtieri, R, Guns, S, Gutierrez, G, Halverson, NW, Hinton, SR, Hivon, E, Holder, GP, Hollowood, DL, Holzapfel, WL, Honscheid, K, Hood, JC, Huang, N, James, DJ, Knox, L, Korman, M, Kuehn, K, Kuo, C-L, Lahav, O, Lee, AT, Lidman, C, Lima, M, Lowitz, AE, Lu, C, March, M, Mena-Fernandez, J, Menanteau, F, Millea, M, Miquel, R, Mohr, JJ, Montgomery, J, Muir, J, Natoli, T, Noble, GI, Novosad, V, Ogando, RLC, Padin, S, Pan, Z, Paz-Chinchon, F, Pereira, MES, Pieres, A, Malagon, AAP, Prabhu, K, Prat, J, Quan, W, Rahlin, A, Raveri, M, Rodriguez-Monroy, M, Romer, AK, Rouble, M, Ruhl, JE, Sanchez, E, Scarpine, V, Schubnell, M, Smecher, G, Smith, M, Soares-Santos, M, Sobrin, JA, Suchyta, E, Suzuki, A, Tarle, G, Thomas, D, Thompson, KL, Thorne, B, Tucker, C, Umilta, C, Vieira, JD, Vincenzi, M, Wang, G, Weaverdyck, N, Weller, J, Whitehorn, N, Wu, WLK, Yefremenko, V, and Young, MR
Published: 2023

27. Joint analysis of Dark Energy Survey Year 3 data and CMB lensing from SPT and Planck. III. Combined cosmological constraints

Author: Abbott, TMC, Aguena, M, Alarcon, A, Alves, O, Amon, A, Andrade-Oliveira, F, Annis, J, Ansarinejad, B, Avila, S, Bacon, D, Baxter, EJ, Bechtol, K, Becker, MR, Benson, BA, Bernstein, GM, Bertin, E, Blazek, J, Bleem, LE, Bocquet, S, Brooks, D, Buckley-Geer, E, Burke, DL, Camacho, H, Campos, A, Carlstrom, JE, Rosell, AC, Kind, MC, Carretero, J, Cawthon, R, Chang, C, Chang, CL, Chen, R, Choi, A, Chown, R, Conselice, C, Cordero, J, Costanzi, M, Crawford, T, Crites, AT, Crocce, M, da Costa, LN, Davis, C, Davis, TM, de Haan, T, De Vicente, J, DeRose, J, Desai, S, Diehl, HT, Dobbs, MA, Dodelson, S, Doel, P, Doux, C, Drlica-Wagner, A, Eckert, K, Eifler, TF, Elsner, F, Elvin-Poole, J, Everett, S, Everett, W, Fang, X, Ferrero, I, Ferte, A, Flaugher, B, Fosalba, P, Friedrich, O, Frieman, J, Garcia-Bellido, J, Gatti, M, George, EM, Giannantonio, T, Giannini, G, Gruen, D, Gruendl, RA, Gschwend, J, Gutierrez, G, Halverson, NW, Harrison, I, Herner, K, Hinton, SR, Holder, GP, Hollowood, DL, Holzapfel, WL, Honscheid, K, Hrubes, JD, Huang, H, Huff, EM, Huterer, D, Jain, B, James, DJ, Jarvis, M, Jeltema, T, Kent, S, Knox, L, Kovacs, A, Krause, E, Kuehn, K, Kuropatkin, N, Lahav, O, Lee, AT, Leget, P-F, Lemos, P, Liddle, AR, Lidman, C, Luong-Van, D, McMahonn, JJ, MacCrann, N, March, M, Marshall, JL, Martini, P, McCullough, J, Melchior, P, Menanteau, F, Meyer, SS, Miquel, R, Mocanu, L, Mohr, JJ, Morgan, R, Muir, J, Myles, J, Natoli, T, Navarro-Alsina, A, Nichol, RC, Omori, Y, Padin, S, Pandey, S, Park, Y, Paz-Chinchon, F, Pereira, MES, Pieres, A, Malagon, AAP, Porredon, A, Prat, J, Pryke, C, Raveri, M, Reichardt, CL, Rollins, RP, Romer, AK, Roodman, A, Rosenfeld, R, Ross, AJ, Ruhl, JE, Rykoff, ES, Sanchez, C, Sanchez, E, Sanchez, J, Schaffer, KK, Secco, LF, Sevilla-Noarbe, I, Sheldon, E, Shin, T, Shirokoff, E, Smith, M, Staniszewski, Z, Stark, AA, Suchyta, E, Swanson, MEC, Tarle, G, To, C, Troxel, MA, Tutusaus, I, Varga, TN, Vieira, JD, Weaverdyck, N, Wechsler, RH, Weller, J, Williamson, R, Wu, WLK, Yanny, B, Yin, B, Zhang, Y, Zuntz, J, Abbott, TMC, Aguena, M, Alarcon, A, Alves, O, Amon, A, Andrade-Oliveira, F, Annis, J, Ansarinejad, B, Avila, S, Bacon, D, Baxter, EJ, Bechtol, K, Becker, MR, Benson, BA, Bernstein, GM, Bertin, E, Blazek, J, Bleem, LE, Bocquet, S, Brooks, D, Buckley-Geer, E, Burke, DL, Camacho, H, Campos, A, Carlstrom, JE, Rosell, AC, Kind, MC, Carretero, J, Cawthon, R, Chang, C, Chang, CL, Chen, R, Choi, A, Chown, R, Conselice, C, Cordero, J, Costanzi, M, Crawford, T, Crites, AT, Crocce, M, da Costa, LN, Davis, C, Davis, TM, de Haan, T, De Vicente, J, DeRose, J, Desai, S, Diehl, HT, Dobbs, MA, Dodelson, S, Doel, P, Doux, C, Drlica-Wagner, A, Eckert, K, Eifler, TF, Elsner, F, Elvin-Poole, J, Everett, S, Everett, W, Fang, X, Ferrero, I, Ferte, A, Flaugher, B, Fosalba, P, Friedrich, O, Frieman, J, Garcia-Bellido, J, Gatti, M, George, EM, Giannantonio, T, Giannini, G, Gruen, D, Gruendl, RA, Gschwend, J, Gutierrez, G, Halverson, NW, Harrison, I, Herner, K, Hinton, SR, Holder, GP, Hollowood, DL, Holzapfel, WL, Honscheid, K, Hrubes, JD, Huang, H, Huff, EM, Huterer, D, Jain, B, James, DJ, Jarvis, M, Jeltema, T, Kent, S, Knox, L, Kovacs, A, Krause, E, Kuehn, K, Kuropatkin, N, Lahav, O, Lee, AT, Leget, P-F, Lemos, P, Liddle, AR, Lidman, C, Luong-Van, D, McMahonn, JJ, MacCrann, N, March, M, Marshall, JL, Martini, P, McCullough, J, Melchior, P, Menanteau, F, Meyer, SS, Miquel, R, Mocanu, L, Mohr, JJ, Morgan, R, Muir, J, Myles, J, Natoli, T, Navarro-Alsina, A, Nichol, RC, Omori, Y, Padin, S, Pandey, S, Park, Y, Paz-Chinchon, F, Pereira, MES, Pieres, A, Malagon, AAP, Porredon, A, Prat, J, Pryke, C, Raveri, M, Reichardt, CL, Rollins, RP, Romer, AK, Roodman, A, Rosenfeld, R, Ross, AJ, Ruhl, JE, Rykoff, ES, Sanchez, C, Sanchez, E, Sanchez, J, Schaffer, KK, Secco, LF, Sevilla-Noarbe, I, Sheldon, E, Shin, T, Shirokoff, E, Smith, M, Staniszewski, Z, Stark, AA, Suchyta, E, Swanson, MEC, Tarle, G, To, C, Troxel, MA, Tutusaus, I, Varga, TN, Vieira, JD, Weaverdyck, N, Wechsler, RH, Weller, J, Williamson, R, Wu, WLK, Yanny, B, Yin, B, Zhang, Y, and Zuntz, J
Published: 2023

28. Joint analysis of Dark Energy Survey Year 3 data and CMB lensing from SPT and Planck. I. Construction of CMB lensing maps and modeling choices

Author: Omori, Y, Baxter, EJ, Chang, C, Friedrich, O, Alarcon, A, Alves, O, Amon, A, Andrade-Oliveira, F, Bechtol, K, Becker, MR, Bernstein, GM, Blazek, J, Bleem, LE, Camacho, H, Campos, A, Rosell, AC, Kind, MC, Cawthon, R, Chen, R, Choi, A, Cordero, J, Crawford, TM, Crocce, M, Davis, C, DeRose, J, Dodelson, S, Doux, C, Drlica-Wagner, A, Eckert, K, Eifler, TF, Elsner, F, Elvin-Poole, J, Everett, S, Fang, X, Ferte, A, Fosalba, P, Gatti, M, Giannini, G, Gruen, D, Gruendl, RA, Harrison, I, Herner, K, Huang, H, Huff, EM, Huterer, D, Jarvis, M, Krause, E, Kuropatkin, N, Leget, P-F, Lemos, P, Liddle, AR, MacCrann, N, McCullough, J, Muir, J, Myles, J, Navarro-Alsina, A, Pandey, S, Park, Y, Porredon, A, Prat, J, Raveri, M, Rollins, RP, Roodman, A, Rosenfeld, R, Ross, AJ, Rykoff, ES, Sanchez, C, Sanchez, J, Secco, LF, Sevilla-Noarbe, I, Sheldon, E, Shin, T, Troxel, MA, Tutusaus, I, Varga, TN, Weaverdyck, N, Wechsler, RH, Wu, WLK, Yanny, B, Yin, B, Zhang, Y, Zuntz, J, Abbott, TMC, Aguena, M, Allam, S, Annis, J, Bacon, D, Benson, BA, Bertin, E, Bocquet, S, Brooks, D, Burke, DL, Carlstrom, JE, Carretero, J, Chang, CL, Chown, R, Costanzi, M, da Costa, LN, Crites, AT, Pereira, MES, de Haan, T, De Vicente, J, Desai, S, Diehl, HT, Dobbs, MA, Doel, P, Everett, W, Ferrero, I, Flaugher, B, Friedel, D, Frieman, J, Garcia-Bellido, J, Gaztanaga, E, George, EM, Giannantonio, T, Halverson, NW, Hinton, SR, Holder, GP, Hollowood, DL, Holzapfel, WL, Honscheid, K, Hrubes, JD, James, DJ, Knox, L, Kuehn, K, Lahav, O, Lee, AT, Lima, M, Luong-Van, D, March, M, McMahon, JJ, Melchior, P, Menanteau, F, Meyer, SS, Miquel, R, Mocanu, L, Mohr, JJ, Morgan, R, Natoli, T, Padin, S, Palmese, A, Paz-Chinchon, F, Pieres, A, Malagon, AAP, Pryke, C, Reichardt, CL, Romer, AK, Ruhl, JE, Sanchez, E, Schaffer, KK, Schubnell, M, Serrano, S, Shirokoff, E, Smith, M, Staniszewski, Z, Stark, AA, Suchyta, E, Tarle, G, Thomas, D, To, C, Vieira, JD, Weller, J, Williamson, R, Omori, Y, Baxter, EJ, Chang, C, Friedrich, O, Alarcon, A, Alves, O, Amon, A, Andrade-Oliveira, F, Bechtol, K, Becker, MR, Bernstein, GM, Blazek, J, Bleem, LE, Camacho, H, Campos, A, Rosell, AC, Kind, MC, Cawthon, R, Chen, R, Choi, A, Cordero, J, Crawford, TM, Crocce, M, Davis, C, DeRose, J, Dodelson, S, Doux, C, Drlica-Wagner, A, Eckert, K, Eifler, TF, Elsner, F, Elvin-Poole, J, Everett, S, Fang, X, Ferte, A, Fosalba, P, Gatti, M, Giannini, G, Gruen, D, Gruendl, RA, Harrison, I, Herner, K, Huang, H, Huff, EM, Huterer, D, Jarvis, M, Krause, E, Kuropatkin, N, Leget, P-F, Lemos, P, Liddle, AR, MacCrann, N, McCullough, J, Muir, J, Myles, J, Navarro-Alsina, A, Pandey, S, Park, Y, Porredon, A, Prat, J, Raveri, M, Rollins, RP, Roodman, A, Rosenfeld, R, Ross, AJ, Rykoff, ES, Sanchez, C, Sanchez, J, Secco, LF, Sevilla-Noarbe, I, Sheldon, E, Shin, T, Troxel, MA, Tutusaus, I, Varga, TN, Weaverdyck, N, Wechsler, RH, Wu, WLK, Yanny, B, Yin, B, Zhang, Y, Zuntz, J, Abbott, TMC, Aguena, M, Allam, S, Annis, J, Bacon, D, Benson, BA, Bertin, E, Bocquet, S, Brooks, D, Burke, DL, Carlstrom, JE, Carretero, J, Chang, CL, Chown, R, Costanzi, M, da Costa, LN, Crites, AT, Pereira, MES, de Haan, T, De Vicente, J, Desai, S, Diehl, HT, Dobbs, MA, Doel, P, Everett, W, Ferrero, I, Flaugher, B, Friedel, D, Frieman, J, Garcia-Bellido, J, Gaztanaga, E, George, EM, Giannantonio, T, Halverson, NW, Hinton, SR, Holder, GP, Hollowood, DL, Holzapfel, WL, Honscheid, K, Hrubes, JD, James, DJ, Knox, L, Kuehn, K, Lahav, O, Lee, AT, Lima, M, Luong-Van, D, March, M, McMahon, JJ, Melchior, P, Menanteau, F, Meyer, SS, Miquel, R, Mocanu, L, Mohr, JJ, Morgan, R, Natoli, T, Padin, S, Palmese, A, Paz-Chinchon, F, Pieres, A, Malagon, AAP, Pryke, C, Reichardt, CL, Romer, AK, Ruhl, JE, Sanchez, E, Schaffer, KK, Schubnell, M, Serrano, S, Shirokoff, E, Smith, M, Staniszewski, Z, Stark, AA, Suchyta, E, Tarle, G, Thomas, D, To, C, Vieira, JD, Weller, J, and Williamson, R
Published: 2023

29. The XMM cluster survey : exploring scaling relations and completeness of the dark energy survey year 3 redMaPPer cluster catalogue

Author: Upsdell, E. W., Giles, P. A., Romer, A. K., Wilkinson, R., Turner, D. J., Hilton, M., Rykoff, E., Farahi, A., Bhargava, S., Jeltema, T., Klein, M., Bermeo, A., Collins, C. A., Ebrahimpour, L., Hollowood, D., Mann, R. G., Manolopoulou, M., Miller, C. J., Rooney, P. J., Sahlén, Martin, Stott, J. P., Viana, P. T. P., Allam, S., Alves, O., Bacon, D., Bertin, E., Bocquet, S., Brooks, D., Burke, D. L., Carrasco Kind, M., Carretero, J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Dietrich, J. P., Everett, S., Ferrero, I, Frieman, J., Garcia-Bellido, J., Gerdes, D. W., Gutierrez, G., Hinton, S. R., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Lima, M., Marshall, J. L., Mena-Fernandez, J., Menanteau, F., Miquel, R., Mohr, J. J., Ogando, R. L. C., Pieres, A., Raveri, M., Rodriguez-Monroy, M., Sanchez, E., Scarpine, V, Sevilla-Noarbe, I, Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Weaverdyck, N., Weller, J., Wiseman, P., Upsdell, E. W., Giles, P. A., Romer, A. K., Wilkinson, R., Turner, D. J., Hilton, M., Rykoff, E., Farahi, A., Bhargava, S., Jeltema, T., Klein, M., Bermeo, A., Collins, C. A., Ebrahimpour, L., Hollowood, D., Mann, R. G., Manolopoulou, M., Miller, C. J., Rooney, P. J., Sahlén, Martin, Stott, J. P., Viana, P. T. P., Allam, S., Alves, O., Bacon, D., Bertin, E., Bocquet, S., Brooks, D., Burke, D. L., Carrasco Kind, M., Carretero, J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Dietrich, J. P., Everett, S., Ferrero, I, Frieman, J., Garcia-Bellido, J., Gerdes, D. W., Gutierrez, G., Hinton, S. R., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Lima, M., Marshall, J. L., Mena-Fernandez, J., Menanteau, F., Miquel, R., Mohr, J. J., Ogando, R. L. C., Pieres, A., Raveri, M., Rodriguez-Monroy, M., Sanchez, E., Scarpine, V, Sevilla-Noarbe, I, Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Weaverdyck, N., Weller, J., and Wiseman, P.
Abstract: We cross-match and compare characteristics of galaxy clusters identified in observations from two sky surveys using two completely different techniques. One sample is optically selected from the analysis of 3 years of Dark Energy Survey observations using the redMaPPer cluster detection algorithm. The second is X-ray selected from XMM observations analysed by the XMM Cluster Survey. The samples comprise a total area of 57.4 deg(2), bounded by the area of four contiguous XMM survey regions that overlap the DES footprint. We find that the X-ray-selected sample is fully matched with entries in the redMaPPer catalogue, above lambda > 20 and within 0.1 < z < 0.9. Conversely, only 38 per cent of the redMaPPer catalogue is matched to an X-ray extended source. Next, using 120 optically clusters and 184 X-ray-selected clusters, we investigate the form of the X-ray luminosity-temperature (L-X -T-X ), luminosity-richness (L-X - lambda), and temperature-richness (T-X - lambda) scaling relations. We find that the fitted forms of the L-X -T-X relations are consistent between the two selection methods and also with other studies in the literature. However, we find tentative evidence for a steepening of the slope of the relation for low richness systems in the X-ray-selected sample. When considering the scaling of richness with X-ray properties, we again find consistency in the relations (i.e. L-X - lambda and T-X - lambda) between the optical and X-ray-selected samples. This is contrary to previous similar works that find a significant increase in the scatter of the luminosity scaling relation for X-ray-selected samples compared to optically selected samples.
Published: 2023
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30. Joint analysis of Dark Energy Survey Year 3 data and CMB lensing and cosmological constraints

Author: Chang, C, Omori, Y, Baxter, EJ, Doux, C, Choi, A, Pandey, S, Alarcon, A, Alves, O, Amon, A, Andrade-Oliveira, F, Bechtol, K, Becker, MR, Bernstein, GM, Bianchini, F, Blazek, J, Bleem, LE, Camacho, H, Campos, A, Rosell, AC, Kind, MC, Cawthon, R, Chen, R, Cordero, J, Crawford, TM, Crocce, M, Davis, C, DeRose, J, Dodelson, S, Drlica-Wagner, A, Eckert, K, Eifler, TF, Elsner, F, Elvin-Poole, J, Everett, S, Fang, X, Ferte, A, Fosalba, P, Friedrich, O, Gatti, M, Giannini, G, Gruen, D, Gruendl, RA, Harrison, I, Herner, K, Huang, H, Huff, EM, Huterer, D, Jarvis, M, Kovacs, A, Krause, E, Kuropatkin, N, Leget, P-F, Lemos, P, Liddle, AR, MacCrann, N, McCullough, J, Muir, J, Myles, J, Navarro-Alsina, A, Park, Y, Porredon, A, Prat, J, Raveri, M, Rollins, RP, Roodman, A, Rosenfeld, R, Ross, AJ, Rykoff, ES, Sanchez, C, Sanchez, J, Secco, LF, Sevilla-Noarbe, I, Sheldon, E, Shin, T, Troxel, MA, Tutusaus, I, Varga, TN, Weaverdyck, N, Wechsler, RH, Wu, WLK, Yanny, B, Yin, B, Zhang, Y, Zuntz, J, Abbott, TMC, Aguena, M, Allam, S, Annis, J, Bacon, D, Benson, BA, Bertin, E, Bocquet, S, Brooks, D, Burke, DL, Carlstrom, JE, Carretero, J, Chang, CL, Chown, R, Costanzi, M, da Costa, LN, Crites, AT, Pereira, MES, de Haan, T, De Vicente, J, Desai, S, Diehl, HT, Dobbs, MA, Doel, P, Everett, W, Ferrero, I, Flaugher, B, Friedel, D, Frieman, J, Garcia-Bellido, J, Gaztanaga, E, George, EM, Giannantonio, T, Halverson, NW, Hinton, SR, Holder, GP, Hollowood, DL, Holzapfel, WL, Honscheid, K, Hrubes, JD, James, DJ, Knox, L, Kuehn, K, Lahav, O, Lee, AT, Lima, M, Luong-Van, D, March, M, McMahon, JJ, Melchior, P, Menanteau, F, Meyer, SS, Miquel, R, Mocanu, L, Mobr, JJ, Morgan, R, Natoli, T, Padin, S, Palmese, A, Paz-Chinchon, F, Pieres, A, Malagon, AAP, Pryke, C, Reichardt, CL, Rodriguez-Monroy, M, Romer, AK, Ruhl, JE, Sanchez, E, Schaffer, KK, Schubnell, M, Serrano, S, Shirokoff, E, Smith, M, Staniszewski, Z, Stark, AA, Suchyta, E, Tarle, G, Thomas, D, To, C, Vieira, JD, Weller, J, Williamson, R, Chang, C, Omori, Y, Baxter, EJ, Doux, C, Choi, A, Pandey, S, Alarcon, A, Alves, O, Amon, A, Andrade-Oliveira, F, Bechtol, K, Becker, MR, Bernstein, GM, Bianchini, F, Blazek, J, Bleem, LE, Camacho, H, Campos, A, Rosell, AC, Kind, MC, Cawthon, R, Chen, R, Cordero, J, Crawford, TM, Crocce, M, Davis, C, DeRose, J, Dodelson, S, Drlica-Wagner, A, Eckert, K, Eifler, TF, Elsner, F, Elvin-Poole, J, Everett, S, Fang, X, Ferte, A, Fosalba, P, Friedrich, O, Gatti, M, Giannini, G, Gruen, D, Gruendl, RA, Harrison, I, Herner, K, Huang, H, Huff, EM, Huterer, D, Jarvis, M, Kovacs, A, Krause, E, Kuropatkin, N, Leget, P-F, Lemos, P, Liddle, AR, MacCrann, N, McCullough, J, Muir, J, Myles, J, Navarro-Alsina, A, Park, Y, Porredon, A, Prat, J, Raveri, M, Rollins, RP, Roodman, A, Rosenfeld, R, Ross, AJ, Rykoff, ES, Sanchez, C, Sanchez, J, Secco, LF, Sevilla-Noarbe, I, Sheldon, E, Shin, T, Troxel, MA, Tutusaus, I, Varga, TN, Weaverdyck, N, Wechsler, RH, Wu, WLK, Yanny, B, Yin, B, Zhang, Y, Zuntz, J, Abbott, TMC, Aguena, M, Allam, S, Annis, J, Bacon, D, Benson, BA, Bertin, E, Bocquet, S, Brooks, D, Burke, DL, Carlstrom, JE, Carretero, J, Chang, CL, Chown, R, Costanzi, M, da Costa, LN, Crites, AT, Pereira, MES, de Haan, T, De Vicente, J, Desai, S, Diehl, HT, Dobbs, MA, Doel, P, Everett, W, Ferrero, I, Flaugher, B, Friedel, D, Frieman, J, Garcia-Bellido, J, Gaztanaga, E, George, EM, Giannantonio, T, Halverson, NW, Hinton, SR, Holder, GP, Hollowood, DL, Holzapfel, WL, Honscheid, K, Hrubes, JD, James, DJ, Knox, L, Kuehn, K, Lahav, O, Lee, AT, Lima, M, Luong-Van, D, March, M, McMahon, JJ, Melchior, P, Menanteau, F, Meyer, SS, Miquel, R, Mocanu, L, Mobr, JJ, Morgan, R, Natoli, T, Padin, S, Palmese, A, Paz-Chinchon, F, Pieres, A, Malagon, AAP, Pryke, C, Reichardt, CL, Rodriguez-Monroy, M, Romer, AK, Ruhl, JE, Sanchez, E, Schaffer, KK, Schubnell, M, Serrano, S, Shirokoff, E, Smith, M, Staniszewski, Z, Stark, AA, Suchyta, E, Tarle, G, Thomas, D, To, C, Vieira, JD, Weller, J, and Williamson, R
Published: 2023

31. The XMM cluster survey : exploring scaling relations and completeness of the dark energy survey year 3 redMaPPer cluster catalogue

Author: Upsdell, E. W., Giles, P. A., Romer, A. K., Wilkinson, R., Turner, D. J., Hilton, M., Rykoff, E., Farahi, A., Bhargava, S., Jeltema, T., Klein, M., Bermeo, A., Collins, C. A., Ebrahimpour, L., Hollowood, D., Mann, R. G., Manolopoulou, M., Miller, C. J., Rooney, P. J., Sahlén, Martin, Stott, J. P., Viana, P. T. P., Allam, S., Alves, O., Bacon, D., Bertin, E., Bocquet, S., Brooks, D., Burke, D. L., Carrasco Kind, M., Carretero, J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Dietrich, J. P., Everett, S., Ferrero, I, Frieman, J., Garcia-Bellido, J., Gerdes, D. W., Gutierrez, G., Hinton, S. R., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Lima, M., Marshall, J. L., Mena-Fernandez, J., Menanteau, F., Miquel, R., Mohr, J. J., Ogando, R. L. C., Pieres, A., Raveri, M., Rodriguez-Monroy, M., Sanchez, E., Scarpine, V, Sevilla-Noarbe, I, Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Weaverdyck, N., Weller, J., Wiseman, P., Upsdell, E. W., Giles, P. A., Romer, A. K., Wilkinson, R., Turner, D. J., Hilton, M., Rykoff, E., Farahi, A., Bhargava, S., Jeltema, T., Klein, M., Bermeo, A., Collins, C. A., Ebrahimpour, L., Hollowood, D., Mann, R. G., Manolopoulou, M., Miller, C. J., Rooney, P. J., Sahlén, Martin, Stott, J. P., Viana, P. T. P., Allam, S., Alves, O., Bacon, D., Bertin, E., Bocquet, S., Brooks, D., Burke, D. L., Carrasco Kind, M., Carretero, J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Dietrich, J. P., Everett, S., Ferrero, I, Frieman, J., Garcia-Bellido, J., Gerdes, D. W., Gutierrez, G., Hinton, S. R., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Lima, M., Marshall, J. L., Mena-Fernandez, J., Menanteau, F., Miquel, R., Mohr, J. J., Ogando, R. L. C., Pieres, A., Raveri, M., Rodriguez-Monroy, M., Sanchez, E., Scarpine, V, Sevilla-Noarbe, I, Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Weaverdyck, N., Weller, J., and Wiseman, P.
Abstract: We cross-match and compare characteristics of galaxy clusters identified in observations from two sky surveys using two completely different techniques. One sample is optically selected from the analysis of 3 years of Dark Energy Survey observations using the redMaPPer cluster detection algorithm. The second is X-ray selected from XMM observations analysed by the XMM Cluster Survey. The samples comprise a total area of 57.4 deg(2), bounded by the area of four contiguous XMM survey regions that overlap the DES footprint. We find that the X-ray-selected sample is fully matched with entries in the redMaPPer catalogue, above lambda > 20 and within 0.1 < z < 0.9. Conversely, only 38 per cent of the redMaPPer catalogue is matched to an X-ray extended source. Next, using 120 optically clusters and 184 X-ray-selected clusters, we investigate the form of the X-ray luminosity-temperature (L-X -T-X ), luminosity-richness (L-X - lambda), and temperature-richness (T-X - lambda) scaling relations. We find that the fitted forms of the L-X -T-X relations are consistent between the two selection methods and also with other studies in the literature. However, we find tentative evidence for a steepening of the slope of the relation for low richness systems in the X-ray-selected sample. When considering the scaling of richness with X-ray properties, we again find consistency in the relations (i.e. L-X - lambda and T-X - lambda) between the optical and X-ray-selected samples. This is contrary to previous similar works that find a significant increase in the scatter of the luminosity scaling relation for X-ray-selected samples compared to optically selected samples.
Published: 2023
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32. Probing Water and Ion Diffusion in Functional Hydrogel Membranes by PFG-NMR

Author: Nordness, Oscar, Nordness, Oscar, Moon, Joshua D, Marioni, Nico, Zofchak, Everett S, Richardson, Peter M, Landsman, Matthew R, Katz, Lynn E, Hawker, Craig J, Ganesan, Venkat, Segalman, Rachel A, Clément, Raphaële J, Nordness, Oscar, Nordness, Oscar, Moon, Joshua D, Marioni, Nico, Zofchak, Everett S, Richardson, Peter M, Landsman, Matthew R, Katz, Lynn E, Hawker, Craig J, Ganesan, Venkat, Segalman, Rachel A, and Clément, Raphaële J
Published: 2023

33. SPT Clusters with DES and HST Weak Lensing. I. Cluster Lensing and Bayesian Population Modeling of Multi-Wavelength Cluster Datasets

Author: Bocquet, S., Grandis, S., Bleem, L. E., Klein, M., Mohr, J. J., Aguena, M., Alarcon, A., Allam, S., Allen, S. W., Alves, O., Amon, A., Ansarinejad, B., Bacon, D., Bayliss, M., Bechtol, K., Becker, M. R., Benson, B. A., Bernstein, G. M., Brodwin, M., Brooks, D., Campos, A., Canning, R. E. A., Carlstrom, J. E., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Cawthon, R., Chang, C., Chen, R., Choi, A., Cordero, J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., Davis, C., de Haan, T., DeRose, J., Desai, S., Diehl, H. T., Dodelson, S., Doel, P., Doux, C., Drlica-Wagner, A., Eckert, K., Elvin-Poole, J., Everett, S., Ferrero, I., Ferté, A., Flores, A. M., Frieman, J., García-Bellido, J., Gatti, M., Giannini, G., Gladders, M. D., Gruen, D., Gruendl, R. A., Harrison, I., Hartley, W. G., Herner, K., Hinton, S. R., Hollowood, D. L., Holzapfel, W. L., Honscheid, K., Huang, N., Huff, E. M., James, D. J., Jarvis, M., Kéruzoré, F., Khullar, G., Kim, K., Kraft, R., Kuehn, K., Kuropatkin, N., Lee, S., Leget, P. -F., MacCrann, N., Mahler, G., Mantz, A., Marshall, J. L., McCullough, J., McDonald, M., Mena-Fernández, J., Miquel, R., Myles, J., Navarro-Alsina, A., Ogando, R. L. C., Palmese, A., Pandey, S., Pieres, A., Malagón, A. A. Plazas, Prat, J., Raveri, M., Reichardt, C. L., Roberson, J., Rollins, R. P., Romer, A. K., Romero, C., Roodman, A., Ross, A. J., Rykoff, E. S., Salvati, L., Sánchez, C., Sanchez, E., Cid, D. Sanchez, Saro, A., Schrabback, T., Schubnell, M., Secco, L. F., Sevilla-Noarbe, I., Sharon, K., Sheldon, E., Shin, T., Smith, M., Somboonpanyakul, T., Stalder, B., Stark, A. A., Strazzullo, V., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Troxel, M. A., Tutusaus, I., Varga, T. N., von der Linden, A., Weaverdyck, N., Weller, J., Wiseman, P., Yanny, B., Yin, B., Young, M., Zhang, Y., Zuntz, J., Bocquet, S., Grandis, S., Bleem, L. E., Klein, M., Mohr, J. J., Aguena, M., Alarcon, A., Allam, S., Allen, S. W., Alves, O., Amon, A., Ansarinejad, B., Bacon, D., Bayliss, M., Bechtol, K., Becker, M. R., Benson, B. A., Bernstein, G. M., Brodwin, M., Brooks, D., Campos, A., Canning, R. E. A., Carlstrom, J. E., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Cawthon, R., Chang, C., Chen, R., Choi, A., Cordero, J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., Davis, C., de Haan, T., DeRose, J., Desai, S., Diehl, H. T., Dodelson, S., Doel, P., Doux, C., Drlica-Wagner, A., Eckert, K., Elvin-Poole, J., Everett, S., Ferrero, I., Ferté, A., Flores, A. M., Frieman, J., García-Bellido, J., Gatti, M., Giannini, G., Gladders, M. D., Gruen, D., Gruendl, R. A., Harrison, I., Hartley, W. G., Herner, K., Hinton, S. R., Hollowood, D. L., Holzapfel, W. L., Honscheid, K., Huang, N., Huff, E. M., James, D. J., Jarvis, M., Kéruzoré, F., Khullar, G., Kim, K., Kraft, R., Kuehn, K., Kuropatkin, N., Lee, S., Leget, P. -F., MacCrann, N., Mahler, G., Mantz, A., Marshall, J. L., McCullough, J., McDonald, M., Mena-Fernández, J., Miquel, R., Myles, J., Navarro-Alsina, A., Ogando, R. L. C., Palmese, A., Pandey, S., Pieres, A., Malagón, A. A. Plazas, Prat, J., Raveri, M., Reichardt, C. L., Roberson, J., Rollins, R. P., Romer, A. K., Romero, C., Roodman, A., Ross, A. J., Rykoff, E. S., Salvati, L., Sánchez, C., Sanchez, E., Cid, D. Sanchez, Saro, A., Schrabback, T., Schubnell, M., Secco, L. F., Sevilla-Noarbe, I., Sharon, K., Sheldon, E., Shin, T., Smith, M., Somboonpanyakul, T., Stalder, B., Stark, A. A., Strazzullo, V., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Troxel, M. A., Tutusaus, I., Varga, T. N., von der Linden, A., Weaverdyck, N., Weller, J., Wiseman, P., Yanny, B., Yin, B., Young, M., Zhang, Y., and Zuntz, J.
Abstract: We present a Bayesian population modeling method to analyze the abundance of galaxy clusters identified by the South Pole Telescope (SPT) with a simultaneous mass calibration using weak gravitational lensing data from the Dark Energy Survey (DES) and the Hubble Space Telescope (HST). We discuss and validate the modeling choices with a particular focus on a robust, weak-lensing-based mass calibration using DES data. For the DES Year 3 data, we report a systematic uncertainty in weak-lensing mass calibration that increases from 1\% at $z=0.25$ to 10\% at $z=0.95$, to which we add 2\% in quadrature to account for uncertainties in the impact of baryonic effects. We implement an analysis pipeline that joins the cluster abundance likelihood with a multi-observable likelihood for the SZ, optical richness, and weak-lensing measurements for each individual cluster. We validate that our analysis pipeline can recover unbiased cosmological constraints by analyzing mocks that closely resemble the cluster sample extracted from the SPT-SZ, SPTpol~ECS, and SPTpol~500d surveys and the DES Year~3 and HST-39 weak-lensing datasets. This work represents a crucial prerequisite for the subsequent cosmological analysis of the real dataset., Comment: submitted to PRD
Published: 2023

34. Building an Efficient Cluster Cosmology Software Package for Modeling Cluster Counts and Lensing

Author: Aguena, M., Alves, O., Annis, J., Bacon, D., Bocquet, S., Brooks, D., Rosell, A. Carnero, Chang, C., Costanzi, M., Coviello, C., da Costa, L. N., Davis, T. M., De Vicente, J., Diehl, H. T., Doel, P., Esteves, J., Everett, S., Ferrero, I., Ferté, A., Friedel, D., Frieman, J., Gatti, M., Giannini, G., Gruen, D., Gruendl, R. A., Gutierrez, G., Herner, K., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Jeltema, T., Kirby, M., Kuehn, K., Lahav, O., Li, P., Marshall, J. L., McClintock, T., Mellor, D., Mena-Fernández, J., Miquel, R., O'Donnell, J., Palmese, A., Paterno, M., Pereira, M. E. S., Pieres, A., Malagón, A. A. Plazas, Rodriguez-Monroy, M., Romer, A. K., Roodman, A., Sanchez, E., Schubnell, M., Sevilla-Noarbe, I., Shin, T., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Weller, J., Wiseman, P., Wu, H. -Y., Zhang, Y., Zhou, C., Aguena, M., Alves, O., Annis, J., Bacon, D., Bocquet, S., Brooks, D., Rosell, A. Carnero, Chang, C., Costanzi, M., Coviello, C., da Costa, L. N., Davis, T. M., De Vicente, J., Diehl, H. T., Doel, P., Esteves, J., Everett, S., Ferrero, I., Ferté, A., Friedel, D., Frieman, J., Gatti, M., Giannini, G., Gruen, D., Gruendl, R. A., Gutierrez, G., Herner, K., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Jeltema, T., Kirby, M., Kuehn, K., Lahav, O., Li, P., Marshall, J. L., McClintock, T., Mellor, D., Mena-Fernández, J., Miquel, R., O'Donnell, J., Palmese, A., Paterno, M., Pereira, M. E. S., Pieres, A., Malagón, A. A. Plazas, Rodriguez-Monroy, M., Romer, A. K., Roodman, A., Sanchez, E., Schubnell, M., Sevilla-Noarbe, I., Shin, T., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Weller, J., Wiseman, P., Wu, H. -Y., Zhang, Y., and Zhou, C.
Abstract: We introduce a software suite developed for galaxy cluster cosmological analysis with the Dark Energy Survey Data. Cosmological analyses based on galaxy cluster number counts and weak-lensing measurements need efficient software infrastructure to explore an increasingly large parameter space, and account for various cosmological and astrophysical effects. Our software package is designed to model the cluster observables in a wide-field optical survey, including galaxy cluster counts, their averaged weak-lensing masses, or the cluster's averaged weak-lensing radial signals. To ensure maximum efficiency, this software package is developed in C++ in the CosmoSIS software framework, making use of the CUBA integration library. We also implement a testing and validation scheme to ensure the quality of the package. We demonstrate the effectiveness of this development by applying the software to the Dark Energy Survey Year 1 galaxy cluster cosmological data sets, and acquired cosmological constraints that are consistent with the fiducial Dark Energy Survey analysis.
Published: 2023

35. Beyond the 3rd moment: A practical study of using lensing convergence CDFs for cosmology with DES Y3

Author: Anbajagane, D., Chang, C., Banerjee, A., Abel, T., Gatti, M., Ajani, V., Alarcon, A., Amon, A., Baxter, E. J., Bechtol, K., Becker, M. R., Bernstein, G. M., Campos, A., Rosell, A. Carnero, Kind, M. Carrasco, Chen, R., Choi, A., Davis, C., DeRose, J., Diehl, H. T., Dodelson, S., Doux, C., Drlica-Wagner, A., Eckert, K., Elvin-Poole, J., Everett, S., Fert'e, A., Gruen, D., Gruendl, R. A., Harrison, I., Hartley, W. G., Huff, E. M., Jain, B., Jarvis, M., Jeffrey, N., Kacprzak, T., Kokron, N., Kuropatkin, N., Leget, P. -F., MacCrann, N., McCullough, J., Myles, J., Navarro-Alsina, A., Pandey, S., Prat, J., Raveri, M., Rollins, R. P., Roodman, A., Rykoff, E. S., Sanchez, C., Secco, L. F., Sevilla-Noarbe, I., Sheldon, E., Shin, T., Troxel, M. A., Tutusaus, I., Whiteway, L., Yanny, B., Yin, B., Zhang, Y., Abbott, T. M. C., Allam, S., Aguena, M., Alves, O., Andrade-Oliveira, F., Annis, J., Bacon, D., Blazek, J., Brooks, D., Cawthon, R., da Costa, L. N., Pereira, M. E. S., Davis, T. M., Desai, S., Doel, P., Ferrero, I., Frieman, J., Giannini, G., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Lahav, O., Marshall, J. L., Mena-Fernandez, J., Menanteau, F., Miquel, R., Palmese, A., Pieres, A., Malag'on, A. A. Plazas, Reil, K., Sanchez, E., Smith, M., Swanson, M. E. C., Tarle, G., Wiseman, P., Anbajagane, D., Chang, C., Banerjee, A., Abel, T., Gatti, M., Ajani, V., Alarcon, A., Amon, A., Baxter, E. J., Bechtol, K., Becker, M. R., Bernstein, G. M., Campos, A., Rosell, A. Carnero, Kind, M. Carrasco, Chen, R., Choi, A., Davis, C., DeRose, J., Diehl, H. T., Dodelson, S., Doux, C., Drlica-Wagner, A., Eckert, K., Elvin-Poole, J., Everett, S., Fert'e, A., Gruen, D., Gruendl, R. A., Harrison, I., Hartley, W. G., Huff, E. M., Jain, B., Jarvis, M., Jeffrey, N., Kacprzak, T., Kokron, N., Kuropatkin, N., Leget, P. -F., MacCrann, N., McCullough, J., Myles, J., Navarro-Alsina, A., Pandey, S., Prat, J., Raveri, M., Rollins, R. P., Roodman, A., Rykoff, E. S., Sanchez, C., Secco, L. F., Sevilla-Noarbe, I., Sheldon, E., Shin, T., Troxel, M. A., Tutusaus, I., Whiteway, L., Yanny, B., Yin, B., Zhang, Y., Abbott, T. M. C., Allam, S., Aguena, M., Alves, O., Andrade-Oliveira, F., Annis, J., Bacon, D., Blazek, J., Brooks, D., Cawthon, R., da Costa, L. N., Pereira, M. E. S., Davis, T. M., Desai, S., Doel, P., Ferrero, I., Frieman, J., Giannini, G., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Lahav, O., Marshall, J. L., Mena-Fernandez, J., Menanteau, F., Miquel, R., Palmese, A., Pieres, A., Malag'on, A. A. Plazas, Reil, K., Sanchez, E., Smith, M., Swanson, M. E. C., Tarle, G., and Wiseman, P.
Abstract: Widefield surveys of the sky probe many clustered scalar fields -- such as galaxy counts, lensing potential, gas pressure, etc. -- that are sensitive to different cosmological and astrophysical processes. Our ability to constrain such processes from these fields depends crucially on the statistics chosen to summarize the field. In this work, we explore the cumulative distribution function (CDF) at multiple scales as a summary of the galaxy lensing convergence field. Using a suite of N-body lightcone simulations, we show the CDFs' constraining power is modestly better than that of the 2nd and 3rd moments of the field, as they approximately capture the information from all moments of the field in a concise data vector. We then study the practical aspects of applying the CDFs to observational data, using the first three years of the Dark Energy Survey (DES Y3) data as an example, and compute the impact of different systematics on the CDFs. The contributions from the point spread function are 2-3 orders of magnitude below the cosmological signal, while those from reduced shear approximation contribute $\lesssim 1\%$ to the signal. Source clustering effects and baryon imprints contribute $1-10\%$. Enforcing scale cuts to limit systematics-driven biases in parameter constraints degrades these constraints a noticeable amount, and this degradation is similar for the CDFs and the moments. We also detect correlations between the observed convergence field and the shape noise field at $13\sigma$. We find that the non-Gaussian correlations in the noise field must be modeled accurately to use the CDFs, or other statistics sensitive to all moments, as a rigorous cosmology tool., Comment: 21 pages, 12 figures
Published: 2023

36. The Dark Energy Survey Supernova Program: Cosmological Biases from Host Galaxy Mismatch of Type Ia Supernovae

Author: Qu, H., Sako, M., Vincenzi, M., Sanchez, C., Brout, D., Kessler, R., Chen, R., Davis, T., Galbany, L., Kelsey, L., Lee, J., Lidman, C., Popovic, B., Rose, B., Scolnic, D., Smith, M., Sullivan, M., Wiseman, P., Abbott, T. M. C., Aguena, M., Alves, O., Bacon, D., Bertin, E., Brooks, D., Burke, D. L., Rosell, A. Carnero, Carretero, J., da Costa, L. N., Pereira, M. E. S., Diehl, H. T., Doel, P., Everett, S., Ferrero, I., Frieman, J., Garcia-Bellido, J., Giannini, G., Gruen, D., Gruendl, R. A., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Lahav, O., Marshall, J. L., Mena-Fernandez, J., Menanteau, F., Miquel, R., Ogando, R. L. C., Palmese, A., Pieres, A., Malagon, A. A. Plazas, Raveri, M., Sanchez, E., Sevilla-Noarbe, I., Soares-Santos, M., Suchyta, E., Tarle, G., Weaverdyck, N., Collaboration, DES, Qu, H., Sako, M., Vincenzi, M., Sanchez, C., Brout, D., Kessler, R., Chen, R., Davis, T., Galbany, L., Kelsey, L., Lee, J., Lidman, C., Popovic, B., Rose, B., Scolnic, D., Smith, M., Sullivan, M., Wiseman, P., Abbott, T. M. C., Aguena, M., Alves, O., Bacon, D., Bertin, E., Brooks, D., Burke, D. L., Rosell, A. Carnero, Carretero, J., da Costa, L. N., Pereira, M. E. S., Diehl, H. T., Doel, P., Everett, S., Ferrero, I., Frieman, J., Garcia-Bellido, J., Giannini, G., Gruen, D., Gruendl, R. A., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Lahav, O., Marshall, J. L., Mena-Fernandez, J., Menanteau, F., Miquel, R., Ogando, R. L. C., Palmese, A., Pieres, A., Malagon, A. A. Plazas, Raveri, M., Sanchez, E., Sevilla-Noarbe, I., Soares-Santos, M., Suchyta, E., Tarle, G., Weaverdyck, N., and Collaboration, DES
Abstract: Redshift measurements, primarily obtained from host galaxies, are essential for inferring cosmological parameters from type Ia supernovae (SNe Ia). Matching SNe to host galaxies using images is non-trivial, resulting in a subset of SNe with mismatched hosts and thus incorrect redshifts. We evaluate the host galaxy mismatch rate and resulting biases on cosmological parameters from simulations modeled after the Dark Energy Survey 5-Year (DES-SN5YR) photometric sample. For both DES-SN5YR data and simulations, we employ the directional light radius method for host galaxy matching. In our SN Ia simulations, we find that 1.7% of SNe are matched to the wrong host galaxy, with redshift difference between the true and matched host of up to 0.6. Using our analysis pipeline, we determine the shift in the dark energy equation of state parameter (Dw) due to including SNe with incorrect host galaxy matches. For SN Ia-only simulations, we find Dw = 0.0013 +/- 0.0026 with constraints from the cosmic microwave background (CMB). Including core-collapse SNe and peculiar SNe Ia in the simulation, we find that Dw ranges from 0.0009 to 0.0032 depending on the photometric classifier used. This bias is an order of magnitude smaller than the expected total uncertainty on w from the DES-SN5YR sample of around 0.03. We conclude that the bias on w from host galaxy mismatch is much smaller than the uncertainties expected from the DES-SN5YR sample, but we encourage further studies to reduce this bias through better host-matching algorithms or selection cuts., Comment: Accepted by ApJ
Published: 2023

37. Detection of the significant impact of source clustering on higher-order statistics with DES Year 3 weak gravitational lensing data

Author: Gatti, M., Jeffrey, N., Whiteway, L., Ajani, V., Kacprzak, T., Zürcher, D., Chang, C., Jain, B., Blazek, J., Krause, E., Alarcon, A., Amon, A., Bechtol, K., Becker, M., Bernstein, G., Campos, A., Chen, R., Choi, A., Davis, C., Derose, J., Diehl, H. T., Dodelson, S., Doux, C., Eckert, K., Elvin-Poole, J., Everett, S., Ferte, A., Gruen, D., Gruendl, R., Harrison, I., Hartley, W. G., Herner, K., Huff, E. M., Jarvis, M., Kuropatkin, N., Leget, P. F., MacCrann, N., McCullough, J., Myles, J., Navarro-Alsina, A., Pandey, S., Prat, J., Raveri, M., Rollins, R. P., Roodman, A., Sanchez, C., Secco, L. F., Sevilla-Noarbe, I., Sheldon, E., Shin, T., Troxel, M., Tutusaus, I., Varga, T. N., Yanny, B., Yin, B., Zhang, Y., Zuntz, J., Allam, S. S., Alves, O., Aguena, M., Bacon, D., Bertin, E., Brooks, D., Burke, D. L., Rosell, A. Carnero, Carretero, J., Cawthon, R., da Costa, L. N., Davis, T. M., De Vicente, J., Desai, S., Doel, P., García-Bellido, J., Giannini, G., Gutierrez, G., Ferrero, I., Frieman, J., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Lahav, O., Marshall, J. L., Mena-Fernández, J., Miquel, R., Ogando, R. L. C., Palmese, A., Pereira, M. E. S., Malagón, A. A. Plazas, Rodriguez-Monroy, M., Samuroff, S., Sanchez, E., Schubnell, M., Smith, M., Sobreira, F., Suchyta, E., Swanson, M. E. C., Tarle, G., Weaverdyck, N., Wiseman, P., Gatti, M., Jeffrey, N., Whiteway, L., Ajani, V., Kacprzak, T., Zürcher, D., Chang, C., Jain, B., Blazek, J., Krause, E., Alarcon, A., Amon, A., Bechtol, K., Becker, M., Bernstein, G., Campos, A., Chen, R., Choi, A., Davis, C., Derose, J., Diehl, H. T., Dodelson, S., Doux, C., Eckert, K., Elvin-Poole, J., Everett, S., Ferte, A., Gruen, D., Gruendl, R., Harrison, I., Hartley, W. G., Herner, K., Huff, E. M., Jarvis, M., Kuropatkin, N., Leget, P. F., MacCrann, N., McCullough, J., Myles, J., Navarro-Alsina, A., Pandey, S., Prat, J., Raveri, M., Rollins, R. P., Roodman, A., Sanchez, C., Secco, L. F., Sevilla-Noarbe, I., Sheldon, E., Shin, T., Troxel, M., Tutusaus, I., Varga, T. N., Yanny, B., Yin, B., Zhang, Y., Zuntz, J., Allam, S. S., Alves, O., Aguena, M., Bacon, D., Bertin, E., Brooks, D., Burke, D. L., Rosell, A. Carnero, Carretero, J., Cawthon, R., da Costa, L. N., Davis, T. M., De Vicente, J., Desai, S., Doel, P., García-Bellido, J., Giannini, G., Gutierrez, G., Ferrero, I., Frieman, J., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Lahav, O., Marshall, J. L., Mena-Fernández, J., Miquel, R., Ogando, R. L. C., Palmese, A., Pereira, M. E. S., Malagón, A. A. Plazas, Rodriguez-Monroy, M., Samuroff, S., Sanchez, E., Schubnell, M., Smith, M., Sobreira, F., Suchyta, E., Swanson, M. E. C., Tarle, G., Weaverdyck, N., and Wiseman, P.
Abstract: We demonstrate and measure the impact of source galaxy clustering on higher-order summary statistics of weak gravitational lensing data. By comparing simulated data with galaxies that either trace or do not trace the underlying density field, we show this effect can exceed measurement uncertainties for common higher-order statistics for certain analysis choices. Source clustering effects are larger at small scales and for statistics applied to combinations of low and high redshift samples, and diminish at high redshift. We evaluate the impact on different weak lensing observables, finding that third moments and wavelet phase harmonics are more affected than peak count statistics. Using Dark Energy Survey Year 3 data we construct null tests for the source-clustering-free case, finding a $p$-value of $p=4\times10^{-3}$ (2.6 $\sigma$) using third-order map moments and $p=3\times10^{-11}$ (6.5 $\sigma$) using wavelet phase harmonics. The impact of source clustering on cosmological inference can be either be included in the model or minimized through \textit{ad-hoc} procedures (e.g. scale cuts). We verify that the procedures adopted in existing DES Y3 cosmological analyses (using map moments and peaks) were sufficient to render this effect negligible. Failing to account for source clustering can significantly impact cosmological inference from higher-order gravitational lensing statistics, e.g. higher-order N-point functions, wavelet-moment observables (including phase harmonics and scattering transforms), and deep learning or field level summary statistics of weak lensing maps. We provide recipes both to minimise the impact of source clustering and to incorporate source clustering effects into forward-modelled mock data., Comment: 5 pages, 2 figures, submitted to MNRAS Letters
Published: 2023

38. Cosmological constraints from the tomography of DES-Y3 galaxies with CMB lensing from ACT DR4

Author: Marques, G. A., Madhavacheril, M. S., Darwish, O., Shaikh, S., Aguena, M., Alves, O., Avila, S., Bacon, D., Baxter, E. J., Bechtol, K., Becker, M. R., Bertin, E., Blazek, J., Bond, J. Richard, Brooks, D., Cai, H., Calabrese, E., Rosell, A. Carnero, Carretero, M. Carrasco Kind J., Cawthon, R., Crocce, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., Doux, C., Drlica-Wagner, A., Dunkley, J., Elvin-Poole, J., Everett, S., Ferraro, Simone, Ferrero, I., Flaugher, B., Fosalba, P., García-Bellido, J., Gatti, M., Giannini, G., Gluscevic, V., Gruen, D., Gruendl, R. A., Gutierrez, G., Harrison, I., Hill, J. Colin, Hinton, S. R., Hollowood, D. L., Honscheid, K., Huterer, D., Jeffrey, N., Kim, J., Kuehn, K., Lahav, O., Lemos, P., Lima, M., Huffenberger, K. M., MacCrann, N., Marshall, J. L., Mena-Fernández, J., Miquel, R., Mohr, J. J., Moodley, K., Muir, J., Naess, S., Nati, F., Page, L. A., Palmese, A., Malagón, A. A. Plazas, Porredon, A., Prat, J., Qu, F. J., Raveri, M., Ross, A. J., Rykoff, E. S., Farren, G. S., Samuroff, S., Sanchez, E., Schubnell, M., Sevilla-Noarbe, I., Sheldon, E., Sherwin, B. D., Sifón, C., Smith, M., Spergel, D. N., Staggs, S. T., Suchyta, E., Tarle, G., To, C., Van Engelen, A., Weaverdyck, N., Weller, J., Wenzl, L., Wiseman, P., Wollack, E. J., Yanny, B., Marques, G. A., Madhavacheril, M. S., Darwish, O., Shaikh, S., Aguena, M., Alves, O., Avila, S., Bacon, D., Baxter, E. J., Bechtol, K., Becker, M. R., Bertin, E., Blazek, J., Bond, J. Richard, Brooks, D., Cai, H., Calabrese, E., Rosell, A. Carnero, Carretero, M. Carrasco Kind J., Cawthon, R., Crocce, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., Doux, C., Drlica-Wagner, A., Dunkley, J., Elvin-Poole, J., Everett, S., Ferraro, Simone, Ferrero, I., Flaugher, B., Fosalba, P., García-Bellido, J., Gatti, M., Giannini, G., Gluscevic, V., Gruen, D., Gruendl, R. A., Gutierrez, G., Harrison, I., Hill, J. Colin, Hinton, S. R., Hollowood, D. L., Honscheid, K., Huterer, D., Jeffrey, N., Kim, J., Kuehn, K., Lahav, O., Lemos, P., Lima, M., Huffenberger, K. M., MacCrann, N., Marshall, J. L., Mena-Fernández, J., Miquel, R., Mohr, J. J., Moodley, K., Muir, J., Naess, S., Nati, F., Page, L. A., Palmese, A., Malagón, A. A. Plazas, Porredon, A., Prat, J., Qu, F. J., Raveri, M., Ross, A. J., Rykoff, E. S., Farren, G. S., Samuroff, S., Sanchez, E., Schubnell, M., Sevilla-Noarbe, I., Sheldon, E., Sherwin, B. D., Sifón, C., Smith, M., Spergel, D. N., Staggs, S. T., Suchyta, E., Tarle, G., To, C., Van Engelen, A., Weaverdyck, N., Weller, J., Wenzl, L., Wiseman, P., Wollack, E. J., and Yanny, B.
Abstract: We present a measurement of the cross-correlation between the MagLim galaxies selected from the Dark Energy Survey (DES) first three years of observations (Y3) and cosmic microwave background (CMB) lensing from the Atacama Cosmology Telescope (ACT) Data Release 4 (DR4), reconstructed over $\sim 436$ sq.deg. of the sky. Our galaxy sample, which covers $\sim 4143$ sq.deg., is divided into six redshift bins spanning the redshift range of $0.20
Published: 2023

39. DES Y3 + KiDS-1000: Consistent cosmology combining cosmic shear surveys

Author: Survey, Dark Energy, Collaboration, Kilo-Degree Survey, Abbott, T. M. C., Aguena, M., Alarcon, A., Alves, O., Amon, A., Andrade-Oliveira, F., Asgari, M., Avila, S., Bacon, D., Bechtol, K., Becker, M. R., Bernstein, G. M., Bertin, E., Bilicki, M., Blazek, J., Bocquet, S., Brooks, D., Burger, P., Burke, D. L., Camacho, H., Campos, A., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Castander, F. J., Cawthon, R., Chang, C., Chen, R., Choi, A., Conselice, C., Cordero, J., Crocce, M., da Costa, L. N., Pereira, M. E. da Silva, Dalal, R., Davis, C., de Jong, J. T. A., DeRose, J., Desai, S., Diehl, H. T., Dodelson, S., Doel, P., Doux, C., Drlica-Wagner, A., Dvornik, A., Eckert, K., Eifler, T. F., Elvin-Poole, J., Everett, S., Fang, X., Ferrero, I., Ferté, A., Flaugher, B., Friedrich, O., Frieman, J., García-Bellido, J., Gatti, M., Giannini, G., Giblin, B., Gruen, D., Gruendl, R. A., Gutierrez, G., Harrison, I., Hartley, W. G., Herner, K., Heymans, C., Hildebrandt, H., Hinton, S. R., Hoekstra, H., Hollowood, D. L., Honscheid, K., Huang, H., Huff, E. M., Huterer, D., James, D. J., Jarvis, M., Jeffrey, N., Jeltema, T., Joachimi, B., Joudaki, S., Kannawadi, A., Krause, E., Kuehn, K., Kuijken, K., Kuropatkin, N., Lahav, O., Leget, P. -F., Lemos, P., Li, S. -S., Li, X., Liddle, A. R., Lima, M., Lin, C. -A, Lin, H., MacCrann, N., Mahony, C., Marshall, J. L., McCullough, J., Mena-Fernández, J., Menanteau, F., Miquel, R., Mohr, J. J., Muir, J., Myles, J., Napolitano, N., Navarro-Alsina, A., Ogando, R. L. C., Palmese, A., Pandey, S., Park, Y., Paterno, M., Peacock, J. A., Petravick, D., Pieres, A., Malagón, A. A. Plazas, Porredon, A., Prat, J., Radovich, M., Raveri, M., Reischke, R., Robertson, N. C., Rollins, R. P., Romer, A. K., Roodman, A., Rykoff, E. S., Samuroff, S., Sánchez, C., Sanchez, E., Sanchez, J., Schneider, P., Secco, L. F., Sevilla-Noarbe, I., Shan, H. -Y., Sheldon, E., Shin, T., Sifón, C., Smith, M., Soares-Santos, M., Stölzner, B., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Troxel, M. A., Tröster, T., Tutusaus, I., Busch, J. L. van den, Varga, T. N., Walker, A. R., Weaverdyck, N., Wechsler, R. H., Weller, J., Wiseman, P., Wright, A. H., Yanny, B., Yin, B., Yoon, M., Zhang, Y., Zuntz, J., Survey, Dark Energy, Collaboration, Kilo-Degree Survey, Abbott, T. M. C., Aguena, M., Alarcon, A., Alves, O., Amon, A., Andrade-Oliveira, F., Asgari, M., Avila, S., Bacon, D., Bechtol, K., Becker, M. R., Bernstein, G. M., Bertin, E., Bilicki, M., Blazek, J., Bocquet, S., Brooks, D., Burger, P., Burke, D. L., Camacho, H., Campos, A., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Castander, F. J., Cawthon, R., Chang, C., Chen, R., Choi, A., Conselice, C., Cordero, J., Crocce, M., da Costa, L. N., Pereira, M. E. da Silva, Dalal, R., Davis, C., de Jong, J. T. A., DeRose, J., Desai, S., Diehl, H. T., Dodelson, S., Doel, P., Doux, C., Drlica-Wagner, A., Dvornik, A., Eckert, K., Eifler, T. F., Elvin-Poole, J., Everett, S., Fang, X., Ferrero, I., Ferté, A., Flaugher, B., Friedrich, O., Frieman, J., García-Bellido, J., Gatti, M., Giannini, G., Giblin, B., Gruen, D., Gruendl, R. A., Gutierrez, G., Harrison, I., Hartley, W. G., Herner, K., Heymans, C., Hildebrandt, H., Hinton, S. R., Hoekstra, H., Hollowood, D. L., Honscheid, K., Huang, H., Huff, E. M., Huterer, D., James, D. J., Jarvis, M., Jeffrey, N., Jeltema, T., Joachimi, B., Joudaki, S., Kannawadi, A., Krause, E., Kuehn, K., Kuijken, K., Kuropatkin, N., Lahav, O., Leget, P. -F., Lemos, P., Li, S. -S., Li, X., Liddle, A. R., Lima, M., Lin, C. -A, Lin, H., MacCrann, N., Mahony, C., Marshall, J. L., McCullough, J., Mena-Fernández, J., Menanteau, F., Miquel, R., Mohr, J. J., Muir, J., Myles, J., Napolitano, N., Navarro-Alsina, A., Ogando, R. L. C., Palmese, A., Pandey, S., Park, Y., Paterno, M., Peacock, J. A., Petravick, D., Pieres, A., Malagón, A. A. Plazas, Porredon, A., Prat, J., Radovich, M., Raveri, M., Reischke, R., Robertson, N. C., Rollins, R. P., Romer, A. K., Roodman, A., Rykoff, E. S., Samuroff, S., Sánchez, C., Sanchez, E., Sanchez, J., Schneider, P., Secco, L. F., Sevilla-Noarbe, I., Shan, H. -Y., Sheldon, E., Shin, T., Sifón, C., Smith, M., Soares-Santos, M., Stölzner, B., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Troxel, M. A., Tröster, T., Tutusaus, I., Busch, J. L. van den, Varga, T. N., Walker, A. R., Weaverdyck, N., Wechsler, R. H., Weller, J., Wiseman, P., Wright, A. H., Yanny, B., Yin, B., Yoon, M., Zhang, Y., and Zuntz, J.
Abstract: We present a joint cosmic shear analysis of the Dark Energy Survey (DES Y3) and the Kilo-Degree Survey (KiDS-1000) in a collaborative effort between the two survey teams. We find consistent cosmological parameter constraints between DES Y3 and KiDS-1000 which, when combined in a joint-survey analysis, constrain the parameter $S_8 = \sigma_8 \sqrt{\Omega_{\rm m}/0.3}$ with a mean value of $0.790^{+0.018}_{-0.014}$. The mean marginal is lower than the maximum a posteriori estimate, $S_8=0.801$, owing to skewness in the marginal distribution and projection effects in the multi-dimensional parameter space. Our results are consistent with $S_8$ constraints from observations of the cosmic microwave background by Planck, with agreement at the $1.7\sigma$ level. We use a Hybrid analysis pipeline, defined from a mock survey study quantifying the impact of the different analysis choices originally adopted by each survey team. We review intrinsic alignment models, baryon feedback mitigation strategies, priors, samplers and models of the non-linear matter power spectrum., Comment: 40 pages, 21 figures, 15 tables, accepted Open Journal of Astrophysics. Download the chains from https://des.ncsa.illinois.edu/releases/y3a2/Y3key-joint-des-kids or create your own chains with CosmoSIS using https://github.com/joezuntz/cosmosis-standard-library/blob/main/examples/des-y3_and_kids-1000.ini Watch the core team discuss this analysis at https://cosmologytalks.com/2023/05/26/des-kids
Published: 2023
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40. The Dark Energy Survey Six-Year Calibration Star Catalog

Author: Rykoff, E. S., Tucker, D. L., Burke, D. L., Allam, S. S., Bechtol, K., Bernstein, G. M., Brout, D., Gruendl, R. A., Lasker, J., Smith, J. A., Wester, W. C., Yanny, B., Abbott, T. M. C., Aguena, M., Alves, O., Andrade-Oliveira, F., Annis, J., Bacon, D., Bertin, E., Brooks, D., Rosell, A. Carnero, Carretero, J., Castander, F. J., Choi, A., da Costa, L. N., Pereira, M. E. S., Davis, T. M., De Vicente, J., Diehl, H. T., Doel, P., Drlica-Wagner, A., Everett, S., Ferrero, I., Frieman, J., García-Bellido, J., Giannini, G., Gruen, D., Gutierrez, G., Hinton, S. R., Hollowood, D. L., James, D. J., Kuehn, K., Lahav, O., Marshall, J. L., Mena-Fernández, J., Menanteau, F., Myles, J., Nord, B. D., Ogando, R. L. C., Palmese, A., Pieres, A., Malagón, A. A. Plazas, Raveri, M., Rodgríguez-Monroy, M., Sanchez, E., Santiago, B., Schubnell, M., Sevilla-Noarbe, I., Smith, M., Soares-Santos, M., Suchyta, E., Swanson, M. E. C., Varga, T. N., Vincenzi, M., Walker, A. R., Weaverdyck, N., Wiseman, P., Rykoff, E. S., Tucker, D. L., Burke, D. L., Allam, S. S., Bechtol, K., Bernstein, G. M., Brout, D., Gruendl, R. A., Lasker, J., Smith, J. A., Wester, W. C., Yanny, B., Abbott, T. M. C., Aguena, M., Alves, O., Andrade-Oliveira, F., Annis, J., Bacon, D., Bertin, E., Brooks, D., Rosell, A. Carnero, Carretero, J., Castander, F. J., Choi, A., da Costa, L. N., Pereira, M. E. S., Davis, T. M., De Vicente, J., Diehl, H. T., Doel, P., Drlica-Wagner, A., Everett, S., Ferrero, I., Frieman, J., García-Bellido, J., Giannini, G., Gruen, D., Gutierrez, G., Hinton, S. R., Hollowood, D. L., James, D. J., Kuehn, K., Lahav, O., Marshall, J. L., Mena-Fernández, J., Menanteau, F., Myles, J., Nord, B. D., Ogando, R. L. C., Palmese, A., Pieres, A., Malagón, A. A. Plazas, Raveri, M., Rodgríguez-Monroy, M., Sanchez, E., Santiago, B., Schubnell, M., Sevilla-Noarbe, I., Smith, M., Soares-Santos, M., Suchyta, E., Swanson, M. E. C., Varga, T. N., Vincenzi, M., Walker, A. R., Weaverdyck, N., and Wiseman, P.
Abstract: This Technical Note presents a catalog of calibrated reference stars that was generated by the Forward Calibration Method (FGCM) pipeline (arXiv:1706.01542) as part of the FGCM photometric calibration of the full Dark Energy Survey (DES) 6-Year data set (Y6). This catalog provides DES grizY magnitudes for 17 million stars with i-band magnitudes mostly in the range 16 < i < 21 spread over the full DES footprint covering 5000 square degrees over the Southern Galactic Cap at galactic latitudes b < -20 degrees (plus a few outlying fields disconnected from the main survey footprint). These stars are calibrated to a uniformity of better than 1.8 milli-mag (0.18%) RMS over the survey area. The absolute calibration of the catalog is computed with reference to the STISNIC.007 spectrum of the Hubble Space Telescope CalSpec standard star C26202; including systematic errors, the absolute flux system is known at the approximately 1% level. As such, these stars provide a useful reference catalog for calibrating grizY-band or grizY-like band photometry in the Southern Hemisphere, particularly for observations within the DES footprint., Comment: 21 pages, 15 figures, Fermilab Technical Note. Official Data Access Site: https://des.ncsa.illinois.edu/releases/other ; Temporary Data Access Site: https://data.darkenergysurvey.org/public_calib/DES_6yr_CalibStarCat/index.html
Published: 2023

41. The Kinematic Sunyaev-Zel'dovich Effect with ACT, DES, and BOSS: a Novel Hybrid Estimator

Author: Mallaby-Kay, M., Amodeo, S., Hill, J. C., Aguena, M., Allam, S., Alves, O., Annis, J., Battaglia, N., Battistelli, E. S., Baxter, E. J., Bechtol, K., Becker, M. R., Bertin, E., Bond, J. R., Brooks, D., Calabrese, E., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Choi, A., Crocce, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Dietrich, J. P., Doel, P., Doux, C., Drlica-Wagner, A., Dunkley, J., Elvin-Poole, J., Everett, S., Ferraro, S., Ferrero, I., Frieman, J., Gallardo, P. A., García-Bellido, J., Giannini, G., Gruen, D., Gruendl, R. A., Gutierrez, G., Hinton, S. R., Hollowood, D. L., James, D. J., Kosowsky, A., Kuehn, K., Lokken, M., Louis, T., Marshall, J. L., McMahon, J., Mena-Fernández, J., Menanteau, F., Miquel, R., Moodley, K., Mroczkowski, T., Naess, S., Niemack, M. D., Ogando, R. L. C., Page, L., Pandey, S., Pieres, A., Malagón, A. A. Plazas, Raveri, M., Rodriguez-Monroy, M., Rykoff, E. S., Samuroff, S., Sanchez, E., Schaan, E., Sevilla-Noarbe, I., Sheldon, E., Sifón, C., Smith, M., Soares-Santos, M., Sobreira, F., Suchyta, E., Tarle, G., To, C., Vargas, C., Vavagiakis, E. M., Weaverdyck, N., Weller, J., Wiseman, P., Yanny, B., Mallaby-Kay, M., Amodeo, S., Hill, J. C., Aguena, M., Allam, S., Alves, O., Annis, J., Battaglia, N., Battistelli, E. S., Baxter, E. J., Bechtol, K., Becker, M. R., Bertin, E., Bond, J. R., Brooks, D., Calabrese, E., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Choi, A., Crocce, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Dietrich, J. P., Doel, P., Doux, C., Drlica-Wagner, A., Dunkley, J., Elvin-Poole, J., Everett, S., Ferraro, S., Ferrero, I., Frieman, J., Gallardo, P. A., García-Bellido, J., Giannini, G., Gruen, D., Gruendl, R. A., Gutierrez, G., Hinton, S. R., Hollowood, D. L., James, D. J., Kosowsky, A., Kuehn, K., Lokken, M., Louis, T., Marshall, J. L., McMahon, J., Mena-Fernández, J., Menanteau, F., Miquel, R., Moodley, K., Mroczkowski, T., Naess, S., Niemack, M. D., Ogando, R. L. C., Page, L., Pandey, S., Pieres, A., Malagón, A. A. Plazas, Raveri, M., Rodriguez-Monroy, M., Rykoff, E. S., Samuroff, S., Sanchez, E., Schaan, E., Sevilla-Noarbe, I., Sheldon, E., Sifón, C., Smith, M., Soares-Santos, M., Sobreira, F., Suchyta, E., Tarle, G., To, C., Vargas, C., Vavagiakis, E. M., Weaverdyck, N., Weller, J., Wiseman, P., and Yanny, B.
Abstract: The kinematic and thermal Sunyaev-Zel'dovich (kSZ and tSZ) effects probe the abundance and thermodynamics of ionized gas in galaxies and clusters. We present a new hybrid estimator to measure the kSZ effect by combining cosmic microwave background temperature anisotropy maps with photometric and spectroscopic optical survey data. The method interpolates a velocity reconstruction from a spectroscopic catalog at the positions of objects in a photometric catalog, which makes it possible to leverage the high number density of the photometric catalog and the precision of the spectroscopic survey. Combining this hybrid kSZ estimator with a measurement of the tSZ effect simultaneously constrains the density and temperature of free electrons in the photometrically selected galaxies. Using the 1000 deg2 of overlap between the Atacama Cosmology Telescope (ACT) Data Release 5, the first three years of data from the Dark Energy Survey (DES), and the Baryon Oscillation Spectroscopic Survey (BOSS) Data Release 12, we detect the kSZ signal at 4.8${\sigma}$ and reject the null (no-kSZ) hypothesis at 5.1${\sigma}$. This corresponds to 2.0${\sigma}$ per 100,000 photometric objects with a velocity field based on a spectroscopic survey with 1/5th the density of the photometric catalog. For comparison, a recent ACT analysis using exclusively spectroscopic data from BOSS measured the kSZ signal at 2.1${\sigma}$ per 100,000 objects. Our derived constraints on the thermodynamic properties of the galaxy halos are consistent with previous measurements. With future surveys, such as the Dark Energy Spectroscopic Instrument and the Rubin Observatory Legacy Survey of Space and Time, we expect that this hybrid estimator could result in measurements with significantly better signal-to-noise than those that rely on spectroscopic data alone., Comment: 19 pages, 15 figures - matches published version
Published: 2023
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42. Cool Cores in Clusters of Galaxies in the Dark Energy Survey

Author: Graham, K., O'Donnell, J., Silverstein, M. M., Eiger, O., Jeltema, T. E., Hollowood, D. L., Cross, D., Everett, S., Giles, P., Jobel, J., Laubner, D., McDaniel, A., Romer, A. K., Swart, A., Aguena, M., Allam, S., Alves, O., Brooks, D., Kind, M. Carrasco, Carretero, J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Dietrich, J. P., Doel, P., Ferrero, I., Frieman, J., Garcia-Bellido, J., Gruen, D., Gruendl, R. A., Hinton, S. R., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Lahav, O., Marshall, J. L., Melchior, P., Mena-Fernandez, J., Menanteau, F., Miquel, R., Ogando, R. L. C., Palmese, A., Pieres, A., Malagon, A. A. Plazas, Reil, K., Rodriguez-Monroy, M., Sanchez, E., Scarpine, V., Schubnell, M., Smith, M., Suchyta, E., Tarle, G., To, C., Weaverdyck, N., Graham, K., O'Donnell, J., Silverstein, M. M., Eiger, O., Jeltema, T. E., Hollowood, D. L., Cross, D., Everett, S., Giles, P., Jobel, J., Laubner, D., McDaniel, A., Romer, A. K., Swart, A., Aguena, M., Allam, S., Alves, O., Brooks, D., Kind, M. Carrasco, Carretero, J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Dietrich, J. P., Doel, P., Ferrero, I., Frieman, J., Garcia-Bellido, J., Gruen, D., Gruendl, R. A., Hinton, S. R., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Lahav, O., Marshall, J. L., Melchior, P., Mena-Fernandez, J., Menanteau, F., Miquel, R., Ogando, R. L. C., Palmese, A., Pieres, A., Malagon, A. A. Plazas, Reil, K., Rodriguez-Monroy, M., Sanchez, E., Scarpine, V., Schubnell, M., Smith, M., Suchyta, E., Tarle, G., To, C., and Weaverdyck, N.
Abstract: We search for the presence of cool cores in optically-selected galaxy clusters from the Dark Energy Survey (DES) and investigate their prevalence as a function of redshift and cluster richness. Clusters were selected from the redMaPPer analysis of three years of DES observations that have archival Chandra X-ray observations, giving a sample of 99 clusters with a redshift range of $0.11 < z < 0.87$ and a richness range of $25 < \lambda < 207$. Using the X-ray data, the core temperature was compared to the outer temperature to identify clusters where the core temperature is a factor of 0.7 or less than the outer temperature. We found a cool core fraction of approximately 20% with no significant trend in the cool core fraction with either redshift or richness., Comment: shortened version accepted to RNAAS
Published: 2023

43. The XMM Cluster Survey: Exploring scaling relations and completeness of the Dark Energy Survey Year 3 redMaPPer cluster catalogue

Author: Upsdell, E. W., Giles, P. A., Romer, A. K., Wilkinson, R., Turner, D. J., Hilton, M., Rykoff, E., Farahi, A., Bhargava, S., Jeltema, T., Klein, M., Bermeo, A., Collins, C. A., Ebrahimpour, L., Hollowood, D., Mann, R. G., Manolopoulou, M., Miller, C. J., Rooney, P. J., Sahlén, Martin, Stott, J. P., Viana, P. T. P., Allam, S., Alves, O., Bacon, D., Bertin, E., Bocquet, S., Brooks, D., Burke, D. L., Kind, M. Carrasco, Carretero, J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Dietrich, J. P., Everett, S., Ferrero, I., Frieman, J., García-Bellido, J., Gerdes, D. W., Gutierrez, G., Hinton, S. R., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Lima, M., Marshall, J. L., Mena-Fern, J., Menanteau, F., Miquel, R., Mohr, J. J., Ogando, R. L. C., Pieres, A., Raveri, M., Rodriguez-Monroy, M., Sanchez, E., Scarpine, V., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Weaverdyck, N., Weller, J., Wiseman, P., Upsdell, E. W., Giles, P. A., Romer, A. K., Wilkinson, R., Turner, D. J., Hilton, M., Rykoff, E., Farahi, A., Bhargava, S., Jeltema, T., Klein, M., Bermeo, A., Collins, C. A., Ebrahimpour, L., Hollowood, D., Mann, R. G., Manolopoulou, M., Miller, C. J., Rooney, P. J., Sahlén, Martin, Stott, J. P., Viana, P. T. P., Allam, S., Alves, O., Bacon, D., Bertin, E., Bocquet, S., Brooks, D., Burke, D. L., Kind, M. Carrasco, Carretero, J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Dietrich, J. P., Everett, S., Ferrero, I., Frieman, J., García-Bellido, J., Gerdes, D. W., Gutierrez, G., Hinton, S. R., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Lima, M., Marshall, J. L., Mena-Fern, J., Menanteau, F., Miquel, R., Mohr, J. J., Ogando, R. L. C., Pieres, A., Raveri, M., Rodriguez-Monroy, M., Sanchez, E., Scarpine, V., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Weaverdyck, N., Weller, J., and Wiseman, P.
Abstract: We cross-match and compare characteristics of galaxy clusters identified in observations from two sky surveys using two completely different techniques. One sample is optically selected from the analysis of three years of Dark Energy Survey observations using the redMaPPer cluster detection algorithm. The second is X-ray selected from XMM observations analysed by the XMM Cluster Survey. The samples comprise a total area of 57.4 deg$^2$, bounded by the area of 4 contiguous XMM survey regions that overlap the DES footprint. We find that the X-ray selected sample is fully matched with entries in the redMaPPer catalogue, above $\lambda>$20 and within 0.1$< z <$0.9. Conversely, only 38\% of the redMaPPer catalogue is matched to an X-ray extended source. Next, using 120 optically clusters and 184 X-ray selected clusters, we investigate the form of the X-ray luminosity-temperature ($L_{X}-T_{X}$), luminosity-richness ($L_{X}-\lambda$) and temperature-richness ($T_{X}-\lambda$) scaling relations. We find that the fitted forms of the $L_{X}-T_{X}$ relations are consistent between the two selection methods and also with other studies in the literature. However, we find tentative evidence for a steepening of the slope of the relation for low richness systems in the X-ray selected sample. When considering the scaling of richness with X-ray properties, we again find consistency in the relations (i.e., $L_{X}-\lambda$ and $T_{X}-\lambda$) between the optical and X-ray selected samples. This is contrary to previous similar works that find a significant increase in the scatter of the luminosity scaling relation for X-ray selected samples compared to optically selected samples., Comment: Accepted for publication to MNRAS
Published: 2023
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44. The Dark Energy Survey Supernova Program: Corrections on photometry due to wavelength-dependent atmospheric effects

Author: Lee, J., Acevedo, M., Sako, M., Vincenzi, M., Brout, D., Sanchez, B., Chen, R., Davis, T. M., Jarvis, M., Scolnic, D., Qu, H., Galbany, L., Kessler, R., Lasker, J., Sullivan, M., Wiseman, P., Aguena, M., Allam, S., Alves, O., Andrade-Oliveira, F., Bertin, E., Bocquet, S., Brooks, D., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., Everett, S., Ferrero, I., Friedel, D., Frieman, J., García-Bellido, J., Gerdes, D. W., Gruen, D., Gruendl, R. A., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kent, S., Kuehn, K., Kuropatkin, N., Mena-Fernández, J., Miquel, R., Ogando, R. L. C., Palmese, A., Pieres, A., Malagón, A. A. Plazas, Raveri, M., Reil, K., Rodriguez-Monroy, M., Sanchez, E., Scarpine, V., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Tarle, G., To, C., Weaverdyck, N., Lee, J., Acevedo, M., Sako, M., Vincenzi, M., Brout, D., Sanchez, B., Chen, R., Davis, T. M., Jarvis, M., Scolnic, D., Qu, H., Galbany, L., Kessler, R., Lasker, J., Sullivan, M., Wiseman, P., Aguena, M., Allam, S., Alves, O., Andrade-Oliveira, F., Bertin, E., Bocquet, S., Brooks, D., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., Everett, S., Ferrero, I., Friedel, D., Frieman, J., García-Bellido, J., Gerdes, D. W., Gruen, D., Gruendl, R. A., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kent, S., Kuehn, K., Kuropatkin, N., Mena-Fernández, J., Miquel, R., Ogando, R. L. C., Palmese, A., Pieres, A., Malagón, A. A. Plazas, Raveri, M., Reil, K., Rodriguez-Monroy, M., Sanchez, E., Scarpine, V., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Tarle, G., To, C., and Weaverdyck, N.
Abstract: Wavelength-dependent atmospheric effects impact photometric supernova flux measurements for ground-based observations. We present corrections on supernova flux measurements from the Dark Energy Survey Supernova Program's 5YR sample (DES-SN5YR) for differential chromatic refraction (DCR) and wavelength-dependent seeing, and we show their impact on the cosmological parameters $w$ and $\Omega_m$. We use $g-i$ colors of Type Ia supernovae (SNe Ia) to quantify astrometric offsets caused by DCR and simulate point spread functions (PSFs) using the GalSIM package to predict the shapes of the PSFs with DCR and wavelength-dependent seeing. We calculate the magnitude corrections and apply them to the magnitudes computed by the DES-SN5YR photometric pipeline. We find that for the DES-SN5YR analysis, not accounting for the astrometric offsets and changes in the PSF shape cause an average bias of $+0.2$ mmag and $-0.3$ mmag respectively, with standard deviations of $0.7$ mmag and $2.7$ mmag across all DES observing bands (\textit{griz}) throughout all redshifts. When the DCR and seeing effects are not accounted for, we find that $w$ and $\Omega_m$ are lower by less than $0.004\pm0.02$ and $0.001\pm0.01$ respectively, with $0.02$ and $0.01$ being the $1\sigma$ statistical uncertainties. Although we find that these biases do not limit the constraints of the DES-SN5YR sample, future surveys with much higher statistics, lower systematics, and especially those that observe in the $u$ band will require these corrections as wavelength-dependent atmospheric effects are larger at shorter wavelengths. We also discuss limitations of our method and how they can be better accounted for in future surveys., Comment: 15 pages, 13 figures, accepted by the Astronomical Journal
Published: 2023
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45. Ultracool dwarfs candidates based on six years of the Dark Energy Survey data

Author: Ponte, M. dal, Santiago, B., Rosell, A. Carnero, De Paris, L., Pace, A. B., Bechtol, K., Abbott, T. M. C., Aguena, M., Allam, S., Alves, O., Bacon, D., Bertin, E., Bocquet, S., Brooks, D., Burke, D. L., Kind, M. Carrasco, Carretero, J., Conselice, C., Costanzi, M., Desai, S., De Vicente, J., Doel, P., Everett, S., Ferrero, I., Flaugher, B., Frieman, J., García-Bellido, J., Gerdes, D. W., Gruendl, R. A., Gruen, D., Gutierrez, G., Hinton, S. R., Hollowood, D. L., James, D. J., Kuehn, K., Kuropatkin, N., Marshall, J. L., Mena-Fernández, J., Menanteau, F., Miquel, R., Ogando, R. L. C., Palmese, A., Paz-Chinchón, F., Pereira, M. E. S., Malagón, A. A. Plazas, Pieres, A., Raveri, M., Rodriguez-Monroy, M., Sanchez, E., Scarpine, V., Schubnell, M., Sevilla-Noarbe, I., Smith, M., Soares-Santos, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Weaverdyck, N., Ponte, M. dal, Santiago, B., Rosell, A. Carnero, De Paris, L., Pace, A. B., Bechtol, K., Abbott, T. M. C., Aguena, M., Allam, S., Alves, O., Bacon, D., Bertin, E., Bocquet, S., Brooks, D., Burke, D. L., Kind, M. Carrasco, Carretero, J., Conselice, C., Costanzi, M., Desai, S., De Vicente, J., Doel, P., Everett, S., Ferrero, I., Flaugher, B., Frieman, J., García-Bellido, J., Gerdes, D. W., Gruendl, R. A., Gruen, D., Gutierrez, G., Hinton, S. R., Hollowood, D. L., James, D. J., Kuehn, K., Kuropatkin, N., Marshall, J. L., Mena-Fernández, J., Menanteau, F., Miquel, R., Ogando, R. L. C., Palmese, A., Paz-Chinchón, F., Pereira, M. E. S., Malagón, A. A. Plazas, Pieres, A., Raveri, M., Rodriguez-Monroy, M., Sanchez, E., Scarpine, V., Schubnell, M., Sevilla-Noarbe, I., Smith, M., Soares-Santos, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., and Weaverdyck, N.
Abstract: We present a sample of 19,583 ultracool dwarf candidates brighter than z $\leq 23$ selected from the Dark Energy Survey DR2 coadd data matched to VHS DR6, VIKING DR5 and AllWISE covering $\sim$ 4,800 $deg^2$. The ultracool candidates were first pre-selected based on their (i-z), (z-Y), and (Y-J) colours. They were further classified using a method that compares their optical, near-infrared and mid-infrared colours against templates of M, L and T dwarfs. 14,099 objects are presented as new L and T candidates and the remaining objects are from the literature, including 5,342 candidates from our previous work. Using this new and deeper sample of ultracool dwarf candidates we also present: 20 new candidate members to nearby young moving groups (YMG) and associations, variable candidate sources and four new wide binary systems composed of two ultracool dwarfs. Finally, we also show the spectra of twelve new ultracool dwarfs discovered by our group and presented here for the first time. These spectroscopically confirmed objects are a sanity check of our selection of ultracool dwarfs and photometric classification method., Comment: 18 pages, 10 figures, 7 tables. Accepted for publication in MNRAS
Published: 2023
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46. Photometry of outer Solar System objects from the Dark Energy Survey I: photometric methods, light curve distributions and trans-Neptunian binaries

Author: Bernardinelli, P. H., Bernstein, G. M., Jindal, N., Abbott, T. M. C., Aguena, M., Andrade-Oliveira, F., Annis, J., Bacon, D., Bertin, E., Brooks, D., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., da Costa, L. N., Pereira, M. E. S., Davis, T. M., Desai, S., Diehl, H. T., Doel, P., Everett, S., Ferrero, I., Friedel, D., Frieman, J., García-Bellido, J., Giannini, G., Gruen, D., Herner, K., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Mena-Fernández, J., Menanteau, F., Miquel, R., Ogando, R. L. C., Pieres, A., Malagón, A. A. Plazas, Raveri, M., Sanchez, E., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Walker, A. R., Wiseman, P., Zhang, Y., Bernardinelli, P. H., Bernstein, G. M., Jindal, N., Abbott, T. M. C., Aguena, M., Andrade-Oliveira, F., Annis, J., Bacon, D., Bertin, E., Brooks, D., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., da Costa, L. N., Pereira, M. E. S., Davis, T. M., Desai, S., Diehl, H. T., Doel, P., Everett, S., Ferrero, I., Friedel, D., Frieman, J., García-Bellido, J., Giannini, G., Gruen, D., Herner, K., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Mena-Fernández, J., Menanteau, F., Miquel, R., Ogando, R. L. C., Pieres, A., Malagón, A. A. Plazas, Raveri, M., Sanchez, E., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Walker, A. R., Wiseman, P., and Zhang, Y.
Abstract: We report the methods of and initial scientific inferences from the extraction of precision photometric information for the $>800$ trans-Neptunian objects (TNOs) discovered in the images of the Dark Energy Survey (DES). Scene-modelling photometry is used to obtain shot-noise-limited flux measures for each exposure of each TNO, with background sources subtracted. Comparison of double-source fits to the pixel data with single-source fits are used to identify and characterize two binary TNO systems. A Markov Chain Monte Carlo method samples the joint likelihood of the intrinsic colors of each source as well as the amplitude of its flux variation, given the time series of multiband flux measurements and their uncertainties. A catalog of these colors and light curve amplitudes $A$ is included with this publication. We show how to assign a likelihood to the distribution $q(A)$ of light curve amplitudes in any subpopulation. Using this method, we find decisive evidence (i.e. evidence ratio $<0.01$) that cold classical (CC) TNOs with absolute magnitude $6
Published: 2023

47. The XMM cluster survey : exploring scaling relations and completeness of the dark energy survey year 3 redMaPPer cluster catalogue

Author: Upsdell, E. W., Giles, P. A., Romer, A. K., Wilkinson, R., Turner, D. J., Hilton, M., Rykoff, E., Farahi, A., Bhargava, S., Jeltema, T., Klein, M., Bermeo, A., Collins, C. A., Ebrahimpour, L., Hollowood, D., Mann, R. G., Manolopoulou, M., Miller, C. J., Rooney, P. J., Sahlén, Martin, Stott, J. P., Viana, P. T. P., Allam, S., Alves, O., Bacon, D., Bertin, E., Bocquet, S., Brooks, D., Burke, D. L., Carrasco Kind, M., Carretero, J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Dietrich, J. P., Everett, S., Ferrero, I, Frieman, J., Garcia-Bellido, J., Gerdes, D. W., Gutierrez, G., Hinton, S. R., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Lima, M., Marshall, J. L., Mena-Fernandez, J., Menanteau, F., Miquel, R., Mohr, J. J., Ogando, R. L. C., Pieres, A., Raveri, M., Rodriguez-Monroy, M., Sanchez, E., Scarpine, V, Sevilla-Noarbe, I, Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Weaverdyck, N., Weller, J., Wiseman, P., Upsdell, E. W., Giles, P. A., Romer, A. K., Wilkinson, R., Turner, D. J., Hilton, M., Rykoff, E., Farahi, A., Bhargava, S., Jeltema, T., Klein, M., Bermeo, A., Collins, C. A., Ebrahimpour, L., Hollowood, D., Mann, R. G., Manolopoulou, M., Miller, C. J., Rooney, P. J., Sahlén, Martin, Stott, J. P., Viana, P. T. P., Allam, S., Alves, O., Bacon, D., Bertin, E., Bocquet, S., Brooks, D., Burke, D. L., Carrasco Kind, M., Carretero, J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Dietrich, J. P., Everett, S., Ferrero, I, Frieman, J., Garcia-Bellido, J., Gerdes, D. W., Gutierrez, G., Hinton, S. R., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Lima, M., Marshall, J. L., Mena-Fernandez, J., Menanteau, F., Miquel, R., Mohr, J. J., Ogando, R. L. C., Pieres, A., Raveri, M., Rodriguez-Monroy, M., Sanchez, E., Scarpine, V, Sevilla-Noarbe, I, Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Weaverdyck, N., Weller, J., and Wiseman, P.
Abstract: We cross-match and compare characteristics of galaxy clusters identified in observations from two sky surveys using two completely different techniques. One sample is optically selected from the analysis of 3 years of Dark Energy Survey observations using the redMaPPer cluster detection algorithm. The second is X-ray selected from XMM observations analysed by the XMM Cluster Survey. The samples comprise a total area of 57.4 deg(2), bounded by the area of four contiguous XMM survey regions that overlap the DES footprint. We find that the X-ray-selected sample is fully matched with entries in the redMaPPer catalogue, above lambda > 20 and within 0.1 < z < 0.9. Conversely, only 38 per cent of the redMaPPer catalogue is matched to an X-ray extended source. Next, using 120 optically clusters and 184 X-ray-selected clusters, we investigate the form of the X-ray luminosity-temperature (L-X -T-X ), luminosity-richness (L-X - lambda), and temperature-richness (T-X - lambda) scaling relations. We find that the fitted forms of the L-X -T-X relations are consistent between the two selection methods and also with other studies in the literature. However, we find tentative evidence for a steepening of the slope of the relation for low richness systems in the X-ray-selected sample. When considering the scaling of richness with X-ray properties, we again find consistency in the relations (i.e. L-X - lambda and T-X - lambda) between the optical and X-ray-selected samples. This is contrary to previous similar works that find a significant increase in the scatter of the luminosity scaling relation for X-ray-selected samples compared to optically selected samples.
Published: 2023
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48. Synchronous rotation in the (136199) Eris-Dysnomia system

Author: Bernstein, G. M., Holler, B. J., Navarro-Escamilla, R., Bernardinelli, P. H., Abbott, T. M. C., Aguena, M., Allam, S., Alves, O., Andrade-Oliveira, F., Annis, J., Bacon, D., Brooks, D., Burke, D. L., Rosell, A. Carnero, Carretero, J., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Doel, P., Drlica-Wagner, A., Everett, S., Ferrero, I., Frieman, J., García-Bellido, J., Gerdes, D. W., Gruen, D., Gutierrez, G., Herner, K., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Marshall, J. L., Mena-Fernández, J., Miquel, R., Ogando, R. L. C., Pieres, A., Malagón, A. A. Plazas, Raveri, M., Reil, K., Sanchez, E., Sevilla-Noarbe, I., Smith, M., Soares-Santos, M., Suchyta, E., Swanson, M. E. C., Wiseman, P., Bernstein, G. M., Holler, B. J., Navarro-Escamilla, R., Bernardinelli, P. H., Abbott, T. M. C., Aguena, M., Allam, S., Alves, O., Andrade-Oliveira, F., Annis, J., Bacon, D., Brooks, D., Burke, D. L., Rosell, A. Carnero, Carretero, J., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Doel, P., Drlica-Wagner, A., Everett, S., Ferrero, I., Frieman, J., García-Bellido, J., Gerdes, D. W., Gruen, D., Gutierrez, G., Herner, K., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Marshall, J. L., Mena-Fernández, J., Miquel, R., Ogando, R. L. C., Pieres, A., Malagón, A. A. Plazas, Raveri, M., Reil, K., Sanchez, E., Sevilla-Noarbe, I., Smith, M., Soares-Santos, M., Suchyta, E., Swanson, M. E. C., and Wiseman, P.
Abstract: We combine photometry of Eris from a 6-month campaign on the Palomar 60-inch telescope in 2015, a 1-month Hubble Space Telescope WFC3 campaign in 2018, and Dark Energy Survey data spanning 2013--2018 to determine a light curve of definitive period $15.771\pm 0.008$~days (1-$\sigma$ formal uncertainties), with nearly sinusoidal shape and peak-to-peak flux variation of 3\%. This is consistent at part-per-thousand precision with the $P=15.78590\pm0.00005$~day period of Dysnomia's orbit around Eris, strengthening the recent detection of synchronous rotation of Eris by Szakats et al (2022) with independent data. Photometry from Gaia is consistent with the same light curve. We detect a slope of $0.05\pm0.01$~mag per degree of Eris' brightness with respect to illumination phase, intermediate between Pluto's and Charon's values. Variations of $0.3$~mag are detected in Dysnomia's brightness, plausibly consistent with a double-peaked light curve at the synchronous period. The synchronous rotation of Eris is consistent with simple tidal models initiated with a giant-impact origin of the binary, but is difficult to reconcile with gravitational capture of Dysnomia by Eris., Comment: Submitted to Planetary Science Journal
Published: 2023

49. The Intrinsic Alignment of Red Galaxies in DES Y1 redMaPPer Galaxy Clusters

Author: Zhou, C., Tong, A., Troxel, M. A., Blazek, J., Lin, C., Bacon, D., Bleem, L., Rosell, A. Carnero, Chang, C., Costanzi, M., DeRose, J., Dietrich, J. P., Drlica-Wagner, A., Gruen, D., Gruendl, R. A., Hoyle, B., Jarvis, M., MacCrann, N., Mawdsley, B., McClintock, T., Melchior, P., Prat, J., Pujol, A., Rozo, E., Rykoff, E. S., Samuroff, S., Sánchez, C., Sevilla-Noarbe, I., Sheldon, E., Shin, T., Tucker, D. L., Varga, T. N., Yanny, B., Zhang, Y., Zuntz, J., Alves, O., Amon, A., Bertin, E., Brooks, D., Burke, D. L., Kind, M. Carrasco, da Costa, L. N., Davis, T. M., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., Everett, S., Ferrero, I., Flaugher, B., Frieman, J., Gerdes, D. W., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Jeltema, T., Kuehn, K., Lahav, O., Lima, M., Marshall, J. L., Mena-Fernández, J., Menanteau, F., Miquel, R., Palmese, A., Paz-Chinchón, F., Pieres, A., Malagón, A. A. Plazas, Porredon, A., Raveri, M., Romer, A. K., Sanchez, E., Smith, M., Soares-Santos, M., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Weaverdyck, N., Weller, J., Wiseman, P., Zhou, C., Tong, A., Troxel, M. A., Blazek, J., Lin, C., Bacon, D., Bleem, L., Rosell, A. Carnero, Chang, C., Costanzi, M., DeRose, J., Dietrich, J. P., Drlica-Wagner, A., Gruen, D., Gruendl, R. A., Hoyle, B., Jarvis, M., MacCrann, N., Mawdsley, B., McClintock, T., Melchior, P., Prat, J., Pujol, A., Rozo, E., Rykoff, E. S., Samuroff, S., Sánchez, C., Sevilla-Noarbe, I., Sheldon, E., Shin, T., Tucker, D. L., Varga, T. N., Yanny, B., Zhang, Y., Zuntz, J., Alves, O., Amon, A., Bertin, E., Brooks, D., Burke, D. L., Kind, M. Carrasco, da Costa, L. N., Davis, T. M., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., Everett, S., Ferrero, I., Flaugher, B., Frieman, J., Gerdes, D. W., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Jeltema, T., Kuehn, K., Lahav, O., Lima, M., Marshall, J. L., Mena-Fernández, J., Menanteau, F., Miquel, R., Palmese, A., Paz-Chinchón, F., Pieres, A., Malagón, A. A. Plazas, Porredon, A., Raveri, M., Romer, A. K., Sanchez, E., Smith, M., Soares-Santos, M., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Weaverdyck, N., Weller, J., and Wiseman, P.
Abstract: Clusters of galaxies are sensitive to the most nonlinear peaks in the cosmic density field. The weak gravitational lensing of background galaxies by clusters can allow us to infer their masses. However, galaxies associated with the local environment of the cluster can also be intrinsically aligned due to the local tidal gradient, contaminating any cosmology derived from the lensing signal. We measure this intrinsic alignment in Dark Energy Survey (DES) Year 1 redMaPPer clusters. We find evidence of a non-zero mean radial alignment of galaxies within clusters between redshift 0.1-0.7. We find a significant systematic in the measured ellipticities of cluster satellite galaxies that we attribute to the central galaxy flux and other intracluster light. We attempt to correct this signal, and fit a simple model for intrinsic alignment amplitude ($A_{\textrm{IA}}$) to the measurement, finding $A_{\textrm{IA}}=0.15\pm 0.04$, when excluding data near the edge of the cluster. We find a significantly stronger alignment of the central galaxy with the cluster dark matter halo at low redshift and with higher richness and central galaxy absolute magnitude (proxies for cluster mass). This is an important demonstration of the ability of large photometric data sets like DES to provide direct constraints on the intrinsic alignment of galaxies within clusters. These measurements can inform improvements to small-scale modeling and simulation of the intrinsic alignment of galaxies to help improve the separation of the intrinsic alignment signal in weak lensing studies., Comment: 14 pages, 13 figures. Accepted to MNRAS
Published: 2023

50. Rates and properties of type Ia supernovae in galaxy clusters within the Dark Energy Survey

Author: Toy, M., Wiseman, P., Sullivan, M., Frohmaier, C., Graur, O., Palmese, A., Popovic, B., Davis, T. M., Galbany, L., Kelsey, L., Lidman, C., Scolnic, D., Allam, S., Desai, S., Abbott, T. M. C., Aguena, M., Alves, O., Annis, J., Bacon, D., Bertin, E., Brooks, D., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Castander, F. J., Conselice, C., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Diehl, H. T., Doel, P., Everett, S., Ferrero, I., Frieman, J., Gerdes, D. W., Gruen, D., Gruendl, R. A., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Marshall, J. L., Melchior, P., Mena-Fernández, J., Menanteau, F., Miquel, R., Pieres, A., Malagón, A. A. Plazas, Romer, A. K., Sanchez, E., Scarpine, V., Sevilla-Noarbe, I., Smith, M., Soares-Santos, M., Suchyta, E., Tarle, G., To, C., Weaverdyck, N., Toy, M., Wiseman, P., Sullivan, M., Frohmaier, C., Graur, O., Palmese, A., Popovic, B., Davis, T. M., Galbany, L., Kelsey, L., Lidman, C., Scolnic, D., Allam, S., Desai, S., Abbott, T. M. C., Aguena, M., Alves, O., Annis, J., Bacon, D., Bertin, E., Brooks, D., Burke, D. L., Rosell, A. Carnero, Kind, M. Carrasco, Carretero, J., Castander, F. J., Conselice, C., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Diehl, H. T., Doel, P., Everett, S., Ferrero, I., Frieman, J., Gerdes, D. W., Gruen, D., Gruendl, R. A., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Kuropatkin, N., Marshall, J. L., Melchior, P., Mena-Fernández, J., Menanteau, F., Miquel, R., Pieres, A., Malagón, A. A. Plazas, Romer, A. K., Sanchez, E., Scarpine, V., Sevilla-Noarbe, I., Smith, M., Soares-Santos, M., Suchyta, E., Tarle, G., To, C., and Weaverdyck, N.
Abstract: We identify 66 photometrically classified type Ia supernovae (SNe Ia) from the Dark Energy Survey (DES) that have occurred within red-sequence selected galaxy clusters. We compare light-curve and host galaxy properties of the cluster SNe to 1024 DES SNe Ia located in field galaxies, the largest comparison of two such samples at high redshift (z > 0.1). We find that cluster SN light curves decline faster than those in the field (97.7 per cent confidence). However, when limiting these samples to host galaxies of similar colour and mass, there is no significant difference in the SN light curve properties. Motivated by previous detections of a higher-normalised SN Ia delay time distribution in galaxy clusters, we measure the intrinsic rate of SNe Ia in cluster and field environments. We find the average ratio of the SN Ia rate per galaxy between high mass ($10\leq\log\mathrm{(M_{*}/M_{\odot})} \leq 11.25$) cluster and field galaxies to be $0.594 \pm0.068$. This difference is mass-dependent, with the ratio declining with increasing mass, which suggests that the stellar populations in cluster hosts are older than those in field hosts. We show that the mass-normalised rate (or SNe per unit mass) in massive-passive galaxies is consistent between cluster and field environments. Additionally, both of these rates are consistent with rates previously measured in clusters at similar redshifts. We conclude that in massive-passive galaxies, which are the dominant hosts of cluster SNe, the cluster DTD is comparable to the field.
Published: 2023

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