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12 results on '"J. P. Dietrich"'

1. Exploring the contamination of the DES-Y1 cluster sample with SPT-SZ selected clusters

Author

A. Saro, B. Ansarinejad, Lindsey Bleem, T. F. Eifler, Santiago Serrano, Jochen Weller, D. L. Burke, Joseph J. Mohr, Chun-Hao To, Ramon Miquel, E. J. Sanchez, E. Bertin, H. T. Diehl, S. R. Hinton, D. L. Hollowood, R. Ogando, M. Carrasco Kind, J. Myles, F. Paz-Chinchón, A. Carnero Rosel, M. Lima, P. Doel, A. A. Plazas, D. H. Brooks, Shantanu Desai, David James, A. Choi, M. E.C. Swanson, J. Annis, J. Gschwend, Peter Melchior, Matthias Klein, E. Suchyta, David Bacon, Robert A. Gruendl, I. Ferrero, Tesla E. Jeltema, G. Gutierrez, L. N. Da Costa, S. Bocquet, K. Honscheid, Antonella Palmese, M. A. G. Maia, Christian L. Reichardt, Jennifer L. Marshall, J. Frieman, S. Allam, M. Costanzi, V. Scarpine, A. K. Romer, D. Gruen, C. Lidman, Sebastian Grandis, Felipe Menanteau, M. Aguena, Gregory Tarle, P. Fosalba, O. Lahav, J. De Vincente, Parampreet Singh, S. Everett, Robert Morgan, E. Gaztanaga, K. Kuehn, D. Thomas, H. Wu, B. Floyd, J. P. Dietrich, Juan Garcia-Bellido, J. Carretero, N. Gupta, M. Smith, F. J. Castander, M. March, R. D. Wilkinson, I. Sevilla-Noarbe, National Science Foundation (US), Ministerio de Economía y Competitividad (España), European Commission, Generalitat de Catalunya, Instituto Nacional de Ciência e Tecnologia (Brasil), Grandis, S., Mohr, J. J., Costanzi, M., Saro, A., Bocquet, S., Klein, M., Aguena, M., Allam, S., Annis, J., Ansarinejad, B., Bacon, D., Bertin, E., Bleem, L., Brooks, D., Burke, D. L., Carnero Rosel, A., Carrasco Kind, M., Carretero, J., Castander, F. J., Choi, A., da Costa, L. N., De Vincente, J., Desai, S., Diehl, H. T., Dietrich, J. P., Doel, P., Eifler, T. F., Everett, S., Ferrero, I., Floyd, B., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Gruen, D., Gruendl, R. A., Gschwend, J., Gupta, N., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Jeltema, T., Kuehn, K., Lahav, O., Lidman, C., Lima, M., Maia, M. A. G., March, M., Marshall, J. L., Melchior, P., Menanteau, F., Miquel, R., Morgan, R., Myles, J., Ogando, R., Palmese, A., Paz-Chinchón, F., Plazas, A. A., Reichardt, C. L., Romer, A. K., Sanchez, E., Scarpine, V., Serrano, S., Sevilla-Noarbe, I., Singh, P., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Weller, J., Wilkinson, R. D., and Wu, H.

Subjects
Cosmology and Nongalactic Astrophysics (astro-ph.CO), Large-scale structure of Universe, statistical [methods], Population, FOS: Physical sciences, Astrophysics, Lambda, 01 natural sciences, large-scale structure of Universe, methods: statistical, galaxies: clusters: general, Astrophysics - Cosmology and Nongalactic Astrophysics, Galaxy group, 0103 physical sciences, clusters: general [galaxies], education, 010303 astronomy & astrophysics, STFC, Weak gravitational lensing, Galaxy cluster, Methods: statistical, Physics, education.field_of_study, 010308 nuclear & particles physics, RCUK, Astronomy and Astrophysics, Redshift, Projection (relational algebra), South Pole Telescope, 13. Climate action, Space and Planetary Science, Galaxies: clusters: general
Abstract

Grandis, S., et al. (DES Colaboration), We perform a cross validation of the cluster catalogue selected by the red-sequence Matched-filter Probabilistic Percolation algorithm (redMaPPer) in Dark Energy Survey year 1 (DES-Y1) data by matching it with the Sunyaev-Zel'dovich effect (SZE) selected cluster catalogue from the South Pole Telescope SPT-SZ survey. Of the 1005 redMaPPer selected clusters with measured richness $\hat{\lambda }\gt 40$ in the joint footprint, 207 are confirmed by SPT-SZ. Using the mass information from the SZE signal, we calibrate the richness-mass relation using a Bayesian cluster population model. We find a mass trend λ ∝ MB consistent with a linear relation (B ∼1), no significant redshift evolution and an intrinsic scatter in richness of σλ = 0.22 ± 0.06. By considering two error models, we explore the impact of projection effects on the richness-mass modelling, confirming that such effects are not detectable at the current level of systematic uncertainties. At low richness SPT-SZ confirms fewer redMaPPer clusters than expected. We interpret this richness dependent deficit in confirmed systems as due to the increased presence at low richness of low-mass objects not correctly accounted for by our richness-mass scatter model, which we call contaminants. At a richness $\hat{\lambda }=40$, this population makes up ${\gt}12{{\ \rm per\ cent}}$ (97.5 percentile) of the total population. Extrapolating this to a measured richness $\hat{\lambda }=20$ yields ${\gt}22{{\ \rm per\ cent}}$ (97.5 percentile). With these contamination fractions, the predicted redMaPPer number counts in different plausible cosmologies are compatible with the measured abundance. The presence of such a population is also a plausible explanation for the different mass trends (B ∼0.75) obtained from mass calibration using purely optically selected clusters. The mean mass from stacked weak lensing (WL) measurements suggests that these low-mass contaminants are galaxy groups with masses ∼3-5 × 1013 M⊙ which are beyond the sensitivity of current SZE and X-ray surveys but a natural target for SPT-3G and eROSITA., The DES data management system is supported by the National Science Foundation under Grant Numbers AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by MINECO under grants AYA2015-71825, ESP2015-66861, FPA2015-68048, SEV-2016-0588, SEV-2016-0597, and MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Program (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciência e Tecnologia (INCT) e-Universe (CNPq grant 465376/2014-2).

Published
2021
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2. Consistency of cosmic shear analyses in harmonic and real space

Author

David Bacon, Niall MacCrann, J. Carretero, Tamara M. Davis, Xiao Fang, Ramon Miquel, Joe Zuntz, F. Paz-Chinchón, Agnès Ferté, Dragan Huterer, Ami Choi, W. G. Hartley, A. A. Plazas, Martin Crocce, R. D. Wilkinson, J. P. Dietrich, Juan Garcia-Bellido, Antonella Palmese, S. Samuroff, I. Ferrero, M. A. G. Maia, E. Bertin, David J. James, Pablo Fosalba, Michael Schubnell, J. Gschwend, Jennifer L. Marshall, Jonathan Blazek, A. Roodman, Bhuvnesh Jain, Elisabeth Krause, Maria E. S. Pereira, Santiago Avila, Chihway Chang, G. Tarle, H. Camacho, L. F. Secco, Robert Morgan, A. Carnero Rosell, M. Costanzi, Jochen Weller, C. Doux, Chun-Hao To, E. J. Sanchez, D. L. Burke, Enrique Gaztanaga, S. Allam, Robert A. Gruendl, M. Carrasco Kind, Alexandra Amon, I. Sevilla-Noarbe, M. Soares-Santos, N. Kuropatkin, T. N. Varga, Felipe Menanteau, L. N. da Costa, M. Smith, Daniel Gruen, D. W. Gerdes, Kyler Kuehn, Michel Aguena, E. Suchyta, Michael Troxel, D. L. Hollowood, S. Serrano, David J. Brooks, Samuel Hinton, G. Gutierrez, M. Gatti, Peter Doel, UAM. Departamento de Física Teórica, Doux, C., Chang, C., Jain, B., Blazek, J., Camacho, H., Fang, X., Gatti, M., Krause, E., Maccrann, N., Samuroff, S., Secco, L. F., Troxel, M. A., Zuntz, J., Aguena, M., Allam, S., Amon, A., Avila, S., Bacon, D., Bertin, E., Brooks, D., Burke, D. L., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Choi, A., Costanzi, M., Crocce, M., da Costa, L. N., Pereira, M. E. S., Davis, T. M., Dietrich, J. P., Doel, P., Ferrero, I., Ferté, A., Fosalba, P., García-Bellido, J., Gaztanaga, E., Gerdes, D. W., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hartley, W. G., Hinton, S. R., Hollowood, D. L., Huterer, D., James, D. J., Kuehn, K., Kuropatkin, N., Maia, M. A. G., Marshall, J. L., Menanteau, F., Miquel, R., Morgan, R., Palmese, A., Paz-Chinchón, F., Plazas, A. A., Roodman, A., Sanchez, E., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Tarle, G., To, C., Varga, T. N., Weller, J., Wilkinson, R. D., Des, Collaboration, Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), DES, Univ Penn, Univ Chicago, Ohio State Univ, Ecole Polytech Fed Lausanne EPFL, Universidade Estadual Paulista (Unesp), Lab Interinst E Astron LIneA, Univ Arizona, Barcelona Inst Sci & Technol, Univ Cambridge, Carnegie Mellon Univ, Duke Univ, Univ Edinburgh, Universidade de São Paulo (USP), Fermilab Natl Accelerator Lab, Stanford Univ, Univ Autonoma Madrid, Univ Portsmouth, CNRS, Sorbonne Univ, UCL, SLAC Natl Accelerator Lab, Inst Astrofis Canarias, Univ La Laguna, Natl Ctr Supercomp Applicat, Univ Illinois, Univ Trieste, INAF Osservatorio Astron Trieste, Inst Fundamental Phys Universe, Inst Estudis Espacials Catalunya IEEC, CSIC, Observ Nacl, Univ Michigan, Univ Queensland, Ludwig Maximilians Univ Munchen, Univ Oslo, CALTECH, Univ Geneva, Santa Cruz Inst Particle Phys, Ctr Astrophys Harvard & Smithsonian, Macquarie Univ, Lowell Observ, Texas A&M Univ, Inst Catalana Recerca & Estudis Avancats, Univ Wisconsin, Princeton Univ, Ctr Invest Energet Medioambientales & Tecnol CIEM, Univ Southampton, Oak Ridge Natl Lab, Max Planck Inst Extraterr Phys, and Univ Sussex

Subjects
Cosmology and Nongalactic Astrophysics (astro-ph.CO), Gaussian, design, FOS: Physical sciences, gravitational lensing: weak, cosmological parameters, large-scale structure of Universe, Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, Statistical fluctuations, 01 natural sciences, symbols.namesake, weak [gravitational lensing], 0103 physical sciences, Statistical physics, Weak, 010303 astronomy & astrophysics, Physics, large-scale structure of universe, Gravitational Lensing, COSMIC cancer database, model, 010308 nuclear & particles physics, Sigma, Spectral density, Física, Astronomy and Astrophysics, Dark Energy, Redshift, Space and Planetary Science, symbols, Dark energy, cosmological parameter, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], constraints, Importance sampling, intrinsic alignments
Abstract

Recent cosmic shear studies have reported discrepancies of up to $1\sigma$ on the parameter ${S_{8}=\sigma_{8}\sqrt{\Omega_{\rm m}/0.3}}$ between the analysis of shear power spectra and two-point correlation functions, derived from the same shear catalogs. It is not a priori clear whether the measured discrepancies are consistent with statistical fluctuations. In this paper, we investigate this issue in the context of the forthcoming analyses from the third year data of the Dark Energy Survey (DES-Y3). We analyze DES-Y3 mock catalogs from Gaussian simulations with a fast and accurate importance sampling pipeline. We show that the methodology for determining matching scale cuts in harmonic and real space is the key factor that contributes to the scatter between constraints derived from the two statistics. We compare the published scales cuts of the KiDS, Subaru-HSC and DES surveys, and find that the correlation coefficients of posterior means range from over 80% for our proposed cuts, down to 10% for cuts used in the literature. We then study the interaction between scale cuts and systematic uncertainties arising from multiple sources: non-linear power spectrum, baryonic feedback, intrinsic alignments, uncertainties in the point-spread function, and redshift distributions. We find that, given DES-Y3 characteristics and proposed cuts, these uncertainties affect the two statistics similarly; the differential biases are below a third of the statistical uncertainty, with the largest biases arising from intrinsic alignment and baryonic feedback. While this work is aimed at DES-Y3, the tools developed can be applied to Stage-IV surveys where statistical errors will be much smaller., Comment: Matches version accepted in MNRAS. 22 pages, 15 figures. Comments welcome!

Published
2021
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3. Dark energy survey internal consistency tests of the joint cosmological probes analysis with posterior predictive distributions

Author

R. L. C. Ogando, J. DeRose, E. Suchyta, M. Smith, G. Tarle, Daniel Gruen, Youngsoo Park, D. W. Gerdes, S. Samuroff, T. N. Varga, R. Cawthon, David J. Brooks, J. Gschwend, Sunayana Bhargava, Michael Schubnell, K. Honscheid, Samuel Hinton, W. G. Hartley, Marcos Lima, J. P. Dietrich, G. Gutierrez, Ofer Lahav, Juan Garcia-Bellido, C. Lidman, Alexandra Amon, J. Carretero, Ramon Miquel, Peter Doel, M. Costanzi, Dragan Huterer, M. Carrasco Kind, Robert Morgan, J. Frieman, H. T. Diehl, David Bacon, Felipe Menanteau, E. Baxter, F. Paz-Chinchón, I. Ferrero, Matt J. Jarvis, J. Annis, Marco Raveri, Elisabeth Krause, M. Gatti, David J. James, Niall MacCrann, J. Muir, Tommaso Giannantonio, D. L. Burke, Pablo Fosalba, Ami Choi, Ben Hoyle, E. Bertin, A. A. Plazas, I. Sevilla-Noarbe, Bhuvnesh Jain, S. Allam, Robert A. Gruendl, V. Scarpine, Antonella Palmese, N. Kuropatkin, D. L. Hollowood, M. A. G. Maia, S. Serrano, A. Alarcon, A. Campos, E. M. Huff, L. N. da Costa, P. Lemos, Michel Aguena, R. D. Wilkinson, S. Everett, Maria E. S. Pereira, J. Prat, M. E. C. Swanson, Jochen Weller, T. M. C. Abbott, C. Doux, Chun-Hao To, Markus Rau, E. J. Sanchez, Santiago Avila, Chihway Chang, Michael Troxel, S. Desai, Joe Zuntz, Douglas L. Tucker, Kyler Kuehn, National Science Foundation (US), Ministerio de Economía y Competitividad (España), Ministerio de Ciencia, Innovación y Universidades (España), European Commission, Generalitat de Catalunya, Instituto Nacional de Ciência e Tecnologia (Brasil), Fermilab, Doux, C., Baxter, E., Lemos, P., Chang, C., Alarcon, A., Amon, A., Campos, A., Choi, A., Gatti, M., Gruen, D., Jarvis, M., Maccrann, N., Park, Y., Prat, J., Rau, M. M., Raveri, M., Samuroff, S., Derose, J., Hartley, W. G., Hoyle, B., Troxel, M. A., Zuntz, J., Abbott, T. M. C., Aguena, M., Allam, S., Annis, J., Avila, S., Bacon, D., Bertin, E., Bhargava, S., Brooks, D., Burke, D. L., Carrasco Kind, M., Carretero, J., Cawthon, R., Costanzi, M., da Costa, L. N., Pereira, M. E. S., Desai, S., Diehl, H. T., Dietrich, J. P., Doel, P., Everett, S., Ferrero, I., Fosalba, P., Frieman, J., García-Bellido, J., Gerdes, D. W., Giannantonio, T., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huff, E. M., Huterer, D., Jain, B., James, D. J., Krause, E., Kuehn, K., Kuropatkin, N., Lahav, O., Lidman, C., Lima, M., Maia, M. A. G., Menanteau, F., Miquel, R., Morgan, R., Muir, J., Ogando, R. L. C., Palmese, A., Paz-Chinchón, F., Plazas, A. A., Sanchez, E., Scarpine, V., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Tucker, D. L., Varga, T. N., Weller, J., Wilkinson, R. D., Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), and DES

Subjects
statistical [Methods], Cosmology and Nongalactic Astrophysics (astro-ph.CO), Large-scale structure of Universe, FOS: Physical sciences, Dark energy, Gravitational lensing: weak, Methods: statistical, gravitational lensing: weak, methods: statistical, dark energy, large-scale structure of Universe, Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics, 01 natural sciences, Data vector, Goodness of fit, Consistency (statistics), Internal consistency, 0103 physical sciences, Statistics, Astrophysics - Cosmology and Nongalactic Astrophysic, [PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det], 010303 astronomy & astrophysics, Joint (geology), Instrumentation and Methods for Astrophysics (astro-ph.IM), Physics, 010308 nuclear & particles physics, Astronomy and Astrophysics, Data set, Posterior predictive distribution, Space and Planetary Science, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], weak [Gravitational lensing]
Abstract

Doux, C., et al. DES Collaboration, Beyond ΛCDM, physics or systematic errors may cause subsets of a cosmological data set to appear inconsistent when analysed assuming ΛCDM. We present an application of internal consistency tests to measurements from the Dark Energy Survey Year 1 (DES Y1) joint probes analysis. Our analysis relies on computing the posterior predictive distribution (PPD) for these data under the assumption of ΛCDM. We find that the DES Y1 data have an acceptable goodness of fit to ΛCDM, with a probability of finding a worse fit by random chance of p = 0.046. Using numerical PPD tests, supplemented by graphical checks, we show that most of the data vector appears completely consistent with expectations, although we observe a small tension between large- and small-scale measurements. A small part (roughly 1.5 per cent) of the data vector shows an unusually large departure from expectations; excluding this part of the data has negligible impact on cosmological constraints, but does significantly improve the p-value to 0.10. The methodology developed here will be applied to test the consistency of DES Year 3 joint probes data sets., Based, in part, on observations at Cerro Tololo Inter-American Observatory at NSF’s NOIRLab (NOIRLab Prop. ID 2012B-0001; PI: J. Frieman), which is managed by the Association of Universities for Research in Astronomy (AURA) under a cooperative agreement with the National Science Foundation. The DES data management system is supported by the National Science Foundation under grant numbers AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by MICINN under grants ESP2017-89838, PGC2018-094773, PGC2018-102021, SEV-2016-0588, SEV-2016-0597, and MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Program (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciência e Tecnologia (INCT) do e-Universo (CNPq grant 465376/2014-2). This manuscript has been authored by Fermi Research Alliance, LLC under contract no. DE-AC02-07CH11359 with the U.S. Department of Energy, Office of Science, Office of High Energy Physics.

Published
2021
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4. Dark Energy Survey Year 3 results: Curved-sky weak lensing mass map reconstruction

Author

Sunayana Bhargava, Jennifer L. Marshall, David J. Brooks, Carlos Solans Sanchez, G. Tarle, Samuel Hinton, G. Gutierrez, Alexandra Amon, Peter Doel, Ami Choi, Ben Hoyle, Marco Raveri, B. Flaugher, F. Andrade-Oliveira, Jochen Weller, R. P. Rollins, H. T. Diehl, D. L. Burke, Felipe Menanteau, Alex Drlica-Wagner, J. DeRose, F. J. Castander, David Bacon, E. Suchyta, Dragan Huterer, Christopher J. Conselice, Brian Yanny, Jack Elvin-Poole, U. Demirbozan, Maria E. S. Pereira, Niall MacCrann, Keith Bechtol, Erin Sheldon, Martin Crocce, V. Scarpine, T. M. C. Abbott, Peter Melchior, D. L. Hollowood, S. Serrano, Agnès Ferté, J. De Vicente, J. Cordero, P. F. Leget, A. Campos, Eli S. Rykoff, C. Doux, Chun-Hao To, E. J. Sanchez, K. Herner, F. Paz-Chinchón, J. Carretero, Antonella Palmese, Marcos Lima, J. Myles, I. Harrison, G. Pollina, A. Roodman, David J. James, Tommaso Giannantonio, D. Zeurcher, M. A. G. Maia, M. Rodriguez-Monroy, Joe Zuntz, A. Alarcon, B. Yin, S. Allam, Robert A. Gruendl, A. Kovács, Matthew R. Becker, Pablo Fosalba, B. Mawdsley, Ashley J. Ross, S. Pandey, J. Muir, Joseph J. Mohr, Michael Troxel, I. Ferrero, Matt J. Jarvis, A. Carnero Rosell, J. McCullough, P. Vielzeuf, Yanxi Zhang, Seshadri Nadathur, M. Carrasco Kind, M. March, S. Everett, M. Smith, M. Costanzi, Jean-Luc Starck, Daniel Gruen, I. Tutusaus, Francois Lanusse, Chihway Chang, Daniel Thomas, J. Prat, L. Whiteway, F. Elsner, S. Desai, I. Sevilla-Noarbe, M. Soares-Santos, G. Giannini, W. G. Hartley, D. W. Gerdes, R. Cawthon, N. Kuropatkin, Ramon Miquel, K. D. Eckert, T. N. Varga, L. N. da Costa, J. P. Dietrich, Juan Garcia-Bellido, E. Bertin, E. M. Huff, R. Chen, Michel Aguena, Enrique Gaztanaga, R. L. C. Ogando, Bhuvnesh Jain, M Gatti, Ofer Lahav, Niall Jeffrey, Robert Morgan, L. F. Secco, Nico Hamaus, A. A. Plazas, A. Navarro-Alsina, T. Shin, T. Kacprzak, C. Davis, J. Gschwend, Gary Bernstein, National Science Foundation (US), Ministerio de Ciencia, Innovación y Universidades (España), Ministerio de Economía y Competitividad (España), Generalitat de Catalunya, European Commission, Instituto Nacional de Ciência e Tecnologia (Brasil), University of Portsmouth, Laboratoire de physique de l'ENS - ENS Paris (LPENS), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Département de Physique de l'ENS-PSL, École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Astrophysique Interprétation Modélisation (AIM (UMR7158 / UMR_E_9005 / UM_112)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), DES, Laboratoire de physique de l'ENS - ENS Paris (LPENS (UMR_8023)), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Astrophysique Interprétation Modélisation (AIM (UMR_7158 / UMR_E_9005 / UM_112)), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7), Jeffrey, N., Gatti, M., Chang, C., Whiteway, L., Demirbozan, U., Kovacs, A., Pollina, G., Bacon, D., Hamaus, N., Kacprzak, T., Lahav, O., Lanusse, F., Mawdsley, B., Nadathur, S., Starck, J. L., Vielzeuf, P., Zeurcher, D., Alarcon, A., Amon, A., Bechtol, K., Bernstein, G. M., Campos, A., Rosell, A. C., Kind, M. C., Cawthon, R., Chen, R., Choi, A., Cordero, J., Davis, C., Derose, J., Doux, C., Drlica-Wagner, A., Eckert, K., Elsner, F., Elvin-Poole, J., Everett, S., Ferte, A., Giannini, G., Gruen, D., Gruendl, R. A., Harrison, I., Hartley, W. G., Herner, K., Huff, E. M., Huterer, D., Kuropatkin, N., Jarvis, M., Leget, P. F., Maccrann, N., Mccullough, J., Muir, J., Myles, J., Navarro-Alsina, A., Pandey, S., Prat, J., Raveri, M., Rollins, R. P., Ross, A. J., Rykoff, E. S., Sanchez, C., Secco, L. F., Sevilla-Noarbe, I., Sheldon, E., Shin, T., Troxel, M. A., Tutusaus, I., Varga, T. N., Yanny, B., Yin, B., Zhang, Y., Zuntz, J., Abbott, T. M. C., Aguena, M., Allam, S., Andrade-Oliveira, F., Becker, M. R., Bertin, E., Bhargava, S., Brooks, D., Burke, D. L., Carretero, J., Castander, F. J., Conselice, C., 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., Ferrero, I., Flaugher, B., Fosalba, P., Garcia-Bellido, J., Gaztanaga, E., Gerdes, D. W., Giannantonio, T., Gschwend, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Hoyle, B., Jain, B., James, D. J., Lima, M., Maia, M. A. G., March, M., Marshall, J. L., Melchior, P., Menanteau, F., Miquel, R., Mohr, J. J., Morgan, R., Ogando, R. L. C., Palmese, A., Paz-Chinchon, F., Plazas, A. A., Rodriguez-Monroy, M., Roodman, A., Sanchez, E., Scarpine, V., Serrano, S., Smith, M., Soares-Santos, M., Suchyta, E., Tarle, G., Thomas, D., To, C., Weller, J., Université de Paris, University College London, Barcelona Institute of Science and Technology, University of Pennsylvania, University of Chicago, Calle Viá Láctea, Universidad de La Laguna (ULL), Ludwig-Maximilians Universität München, ETH Zurich, Argonne National Laboratory, Stanford University, University of Wisconsin-Madison, CarnegieMellon University, Instituto de Astrofisica de Canarias, Laboratorio Interinstitucional de e-Astronomia-LIneA, Dpto. Astrofisica, National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Duke University, Ohio State University, University of Manchester, University of California,Berkeley, Santa Cruz Institute for Particle Physics, Fermi National Accelerator Laboratory, California Institute of Technology, SLAC National Accelerator Laboratory, Denys Wilkinson Building, University of Geneva, University of Michigan, University of Cambridge, Universidade Estadual de Campinas (UNICAMP), Medioambientales y Tecnologicas (CIEMAT), Brookhaven National Laboratory, Institut d'Estudis Espacials de Catalunya (IEEC), CSIC), Max Planck Institute for Extraterrestrial Physics, University of Edinburgh, NSF's National Optical-Infrared Astronomy Research Laboratory, Universidade de Saõ Paul, Universidade Estadual Paulista (UNESP), Institut d'Astrophysique deParis, Institut d'Astrophysique de Paris, University of Sussex, School of Physics and Astronomy, University of Trieste, INAF-Osservatorio Astronomico di Trieste, Institute for Fundamental Physics of the Universe, Observatório Nacional, IIT Hyderabad, Ludwig-Maximilians-Universitat, University of Oslo, Universidad Autonoma de Madrid, University of Queensland, Center for Astrophysics | Harvard and Smithsonian, Texas A and M University, Princeton University, Institucio Catalana de Recerca i Estudis Avancats, University of Southampton, Oak Ridge National Laboratory, and Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Sorbonne Université (SU)-École normale supérieure - Paris (ENS Paris)

Subjects
statistical [Methods], Cosmology and Nongalactic Astrophysics (astro-ph.CO), media_common.quotation_subject, Dark matter, FOS: Physical sciences, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, 7. Clean energy, 01 natural sciences, Gravitational lensing: weak, 0103 physical sciences, Prior probability, Maximum a posteriori estimation, 010303 astronomy & astrophysics, STFC, Weak gravitational lensing, Methods: statistical, media_common, Physics, ST/M001334/1, 010308 nuclear & particles physics, RCUK, Astronomy and Astrophysics, Celestial sphere, gravitational lensing: Weak, large-scale structure of Universe, methods: Statistical, ST/R000476/1, Galaxy, Space and Planetary Science, Sky, astro-ph.CO, Dark energy, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], weak [Gravitational lensing], Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

Jeffrey, N., et al. DES Collaboration, We present reconstructed convergence maps, mass maps, from the Dark Energy Survey (DES) third year (Y3) weak gravitational lensing data set. The mass maps are weighted projections of the density field (primarily dark matter) in the foreground of the observed galaxies. We use four reconstruction methods, each is a maximum a posteriori estimate with a different model for the prior probability of the map: Kaiser–Squires, null B-mode prior, Gaussian prior, and a sparsity prior. All methods are implemented on the celestial sphere to accommodate the large sky coverage of the DES Y3 data. We compare the methods using realistic ΛCDM simulations with mock data that are closely matched to the DES Y3 data. We quantify the performance of the methods at the map level and then apply the reconstruction methods to the DES Y3 data, performing tests for systematic error effects. The maps are compared with optical foreground cosmic-web structures and are used to evaluate the lensing signal from cosmic-void profiles. The recovered dark matter map covers the largest sky fraction of any galaxy weak lensing map to date., The DES data management system is supported by the National Science Foundation under Grant Numbers AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by MICINN under grants ESP2017-89838, PGC2018-094773, PGC2018-102021, SEV-2016-0588, SEV-2016-0597, and MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Program (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciência e Tecnologia (INCT) do e-Universo (CNPq grant 465376/2014-2). This paper has been authored by Fermi Research Alliance, LLC under Contract No. DE-AC02-07CH11359 with the U.S. Department of Energy, Office of Science, Office of High Energy Physics. NJ has been supported by funding from l’Ecole Normale Supérieure, Paris. OL and NJ acknowledge support from a European Research Council Advanced Grant TESTDE (FP7/291329) and STFC Consolidated Grants ST/M001334/1 and ST/R000476/1. AK has been supported by a Juan de la Cierva fellowship from MINECO with project number IJC2018-037730-I, and funding for this project was also available in part through SEV-2015-0548 and AYA2017-89891-P. Cosmic voids computational work has been performed on the UK SCIAMA High Performance Computing cluster supported by the ICG, SEPNet, and the University of Portsmouth.

Published
2021
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5. Blinding multiprobe cosmological experiments

Author

Michael Troxel, Matt J. Jarvis, Kyler Kuehn, I. Sevilla-Noarbe, Tim Eifler, Josh Frieman, N. Kuropatkin, G. Tarle, Jochen Weller, Shantanu Desai, J. Gschwend, Alistair R. Walker, Gary Bernstein, W. G. Hartley, L. N. da Costa, M. Smith, Ramon Miquel, W. C. Wester, Peter Melchior, Daniel Gruen, E. J. Sanchez, Michael Schubnell, David J. James, A. A. Plazas, Felipe Menanteau, Elisabeth Krause, Pablo Fosalba, R. Cawthon, Antonella Palmese, Keith Bechtol, E. Bertin, D. L. Burke, J. Carretero, Santiago Avila, Daniel Thomas, D. W. Gerdes, E. Buckley-Geer, F. Elsner, Peter Doel, S. Allam, Robert A. Gruendl, V. Scarpine, Joe Zuntz, F. Paz-Chinchón, M. Carrasco Kind, A. Carnero Rosell, A. K. Romer, M. Costanzi, J. Muir, R. L. C. Ogando, Dragan Huterer, J. P. Dietrich, Juan Garcia-Bellido, J. Annis, David J. Brooks, Jennifer L. Marshall, Ofer Lahav, E. Suchyta, J. De Vicente, A. Roodman, M. March, D. L. Hollowood, S. Serrano, S. Everett, Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), DES, Muir, J., Bernstein, G. M., Huterer, D., Elsner, F., Krause, E., Roodman, A., Allam, S., Annis, J., Avila, S., Bechtol, K., Bertin, E., Brooks, D., Buckley-Geer, E., Burke, D. L., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Cawthon, R., Costanzi, M., da Costa, L. N., De Vicente, J., Desai, S., Dietrich, J. P., Doel, P., Eifler, T. F., Everett, S., Fosalba, P., Frieman, J., García-Bellido, J., Gerdes, D. W., Gruen, D., Gruendl, R. A., Gschwend, J., Hartley, W. G., Hollowood, D. L., James, D. J., Jarvis, M., Kuehn, K., Kuropatkin, N., Lahav, O., March, M., Marshall, J. L., Melchior, P., Menanteau, F., Miquel, R., Ogando, R. L. C., Palmese, A., Paz-Chinchón, F., Plazas, A. A., Romer, A. K., Sanchez, E., Scarpine, V., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Tarle, G., Thomas, D., Troxel, M. A., Walker, A. R., Weller, J., Wester, W., Zuntz, J., and Des, Collaboration

Subjects
Accuracy and precision, Cosmology and Nongalactic Astrophysics (astro-ph.CO), Blinding, statistical [methods], FOS: Physical sciences, Astrophysics::Cosmology and Extragalactic Astrophysics, 01 natural sciences, Cosmology, methods: numerical, 0103 physical sciences, [PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det], Cluster analysis, Instrumentation and Methods for Astrophysics (astro-ph.IM), 010303 astronomy & astrophysics, Weak gravitational lensing, Physics, methods: statistical, 010308 nuclear & particles physics, Estimation theory, Astronomy and Astrophysics, numerical [methods], methods: data analysis, Galaxy, Space and Planetary Science, cosmology: observations, data analysi [methods], Dark energy, astro-ph.CO, large-scale structure of Universe, Astrophysics - Instrumentation and Methods for Astrophysics, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Algorithm, Astrophysics - Cosmology and Nongalactic Astrophysics, observation [cosmology], astro-ph.IM
Abstract

The goal of blinding is to hide an experiment's critical results -- here the inferred cosmological parameters -- until all decisions affecting its analysis have been finalised. This is especially important in the current era of precision cosmology, when the results of any new experiment are closely scrutinised for consistency or tension with previous results. In analyses that combine multiple observational probes, like the combination of galaxy clustering and weak lensing in the Dark Energy Survey (DES), it is challenging to blind the results while retaining the ability to check for (in)consistency between different parts of the data. We propose a simple new blinding transformation that works by modifying the summary statistics that are input to parameter estimation, such as two-point correlation functions. The transformation shifts the measured statistics to new values that are consistent with (blindly) shifted cosmological parameters, while preserving internal (in)consistency. We apply the blinding transformation to simulated data for the projected DES Year 3 galaxy clustering and weak lensing analysis, demonstrating that practical blinding is achieved without significant perturbation of internal-consistency checks, as measured here by degradation of the $\chi^2$ between data and best-fitting model. Our blinding method conserves $\chi^2$ more precisely as experiments evolve to higher precision., Comment: 18 pages, 13 figures, data available upon request. Updated to match published version

Published
2020
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6. Dark Energy Survey Year 1 results: the effect of intracluster light on photometric redshifts for weak gravitational lensing

Author

Flavia Sobreira, V. Scarpine, Ramon Miquel, Martin Crocce, Ofer Lahav, Elisabeth Krause, C. Davis, J. Gschwend, Filipe B. Abdalla, J. P. Dietrich, Juan Garcia-Bellido, Eduardo Rozo, Felipe Menanteau, David J. James, Yanxi Zhang, Alex Drlica-Wagner, Alistair R. Walker, Pablo Fosalba, Marcelle Soares-Santos, D. L. Burke, Vinu Vikram, J. Annis, K. Honscheid, Peter Melchior, Santiago Avila, Carlos E. Cunha, Brian Yanny, A. A. Plazas, Shantanu Desai, R. Cawthon, Daniel Thomas, Ben Hoyle, H. T. Diehl, Eli S. Rykoff, S. Allam, Robert A. Gruendl, Antonella Palmese, Jennifer L. Marshall, M. A. G. Maia, Enrique Gaztanaga, A. Carnero Rosell, J. Carretero, M. Carrasco Kind, I. Sevilla-Noarbe, A. K. Romer, B. Flaugher, N. Kuropatkin, T. N. Varga, L. N. da Costa, R. L. C. Ogando, Tesla E. Jeltema, Joshua A. Frieman, J. De Vicente, Huan Lin, V. C. Busti, M. Smith, Daniel Gruen, D. W. Gerdes, M. E. C. Swanson, G. Tarle, C. J. Miller, Kyler Kuehn, E. Suchyta, David J. Brooks, D. L. Hollowood, Richard G. Kron, and Marcos Lima

Subjects
High energy, Cosmology and Nongalactic Astrophysics (astro-ph.CO), Higher education, FOS: Physical sciences, Library science, Astrophysics::Cosmology and Extragalactic Astrophysics, 7. Clean energy, 01 natural sciences, 0103 physical sciences, media_common.cataloged_instance, European union, 010303 astronomy & astrophysics, Astrophysics::Galaxy Astrophysics, QC, media_common, Physics, 010308 nuclear & particles physics, business.industry, European research, Astronomy and Astrophysics, Space and Planetary Science, Research council, Fundamental physics, Christian ministry, business, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

We study the effect of diffuse intracluster light on the critical surface mass density estimated from photometric redshifts of lensing source galaxies, and the resulting bias in a weak lensing measurement of galaxy cluster mass. Under conservative assumptions, we find the bias to be negligible for imaging surveys like the Dark Energy Survey (DES) with a recommended scale cut of >=200 kpc distance from cluster centers. For significantly deeper source catalogs from present and future surveys like the Large Synoptic Survey Telescope (LSST) program, more conservative scale and source magnitude cuts or a correction of the effect may be necessary to achieve per-cent level lensing measurement accuracy, especially at the massive end of the cluster population., 11 pages, 4 figures, matches version published in MNRAS

Published
2019

7. Dark Energy Surveyed Year 1 results: calibration of cluster mis-centring in the redMaPPer catalogues

Author

W. G. Hartley, C. Stern, Devon L. Hollowood, John P. Stott, Ramon Miquel, A. Bermeo, B. Flaugher, Martin Sahlén, Chris A. Collins, Eli S. Rykoff, Elisabeth Krause, Tesla E. Jeltema, Yanxi Zhang, Shantanu Desai, C. J. Miller, Arya Farahi, A. A. Plazas, J. Gschwend, Marcelle Soares-Santos, M. E. C. Swanson, M. Costanzi, Xi Chen, Vinu Vikram, J. P. Dietrich, R. H. Schindler, Juan Garcia-Bellido, W. C. Wester, E. Bertin, David J. Brooks, M. Klein, A. Carnero Rosell, J. Carretero, Peter Melchior, Sunayana Bhargava, M. Smith, Eduardo Rozo, Jennifer L. Marshall, Daniel Gruen, G. Gutierrez, S. W. Allen, D. L. Burke, Peter Doel, R. D. Wilkinson, Maria Manolopoulou, S. Allam, Robert A. Gruendl, Pablo Fosalba, K. Honscheid, H. T. Diehl, V. Scarpine, S. Everett, G. Tarle, August E. Evrard, Ricardo L. C. Ogando, Julian A. Mayers, J. De Vicente, Ben Hoyle, Daniel Thomas, Felipe Menanteau, Robert G. Mann, M. A. G. Maia, A. von der Linden, G. Morris, Risa H. Wechsler, E. Suchyta, Matt Hilton, S. Serrano, M. Carrasco Kind, C. Vergara Cervantes, Marcos Lima, I. Sevilla-Noarbe, Enrique Gaztanaga, N. Kuropatkin, M. Splettstoesser, Adam Mantz, L. N. da Costa, Joshua A. Frieman, Douglas L. Tucker, Kyler Kuehn, Paul Giles, A. K. Romer, Santiago Avila, Keith Bechtol, F. J. Castander, Pedro T. P. Viana, E. J. Sanchez, Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), DES, Zhang, Y., Jeltema, T., Hollowood, D. L., Everett, S., Rozo, E., Farahi, A., Bermeo, A., Bhargava, S., Giles, P., Romer, A. K., Wilkinson, R., Rykoff, E. S., Mantz, A., Diehl, H. T., Evrard, A. E., Stern, C., Gruen, D., von der Linden, A., Splettstoesser, M., Chen, X., Costanzi, M., Allen, S., Collins, C., Hilton, M., Klein, M., Mann, R. G., Manolopoulou, M., Morris, G., Mayers, J., Sahlen, M., Stott, J., Vergara Cervantes, C., Viana, P. T. P., Wechsler, R. H., Allam, S., Avila, S., Bechtol, K., Bertin, E., Brooks, D., Burke, D. L., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Castander, F. J., da Costa, L. N., De Vicente, J., Desai, S., Dietrich, J. P., Doel, P., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hartley, W. G., Honscheid, K., Hoyle, B., Krause, E., Kuehn, K., Kuropatkin, N., Lima, M., Maia, M. A. G., Marshall, J. L., Melchior, P., Menanteau, F., Miller, C. J., Miquel, R., Ogando, R. L. C., Plazas, A. A., Sanchez, E., Scarpine, V., Schindler, R., Serrano, S., Sevilla-Noarbe, I., Smith, M., Soares-Santos, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., Tucker, D. L., Vikram, V., Wester, W., and Des, Collaboration

Subjects
Cosmology and Nongalactic Astrophysics (astro-ph.CO), galaxies: clusters: general, dark energy, X-rays: galaxies: clusters, FOS: Physical sciences, Library science, Astrophysics::Cosmology and Extragalactic Astrophysics, 01 natural sciences, 0103 physical sciences, media_common.cataloged_instance, clusters: general [galaxies], European union, Astronomy observatory, 010303 astronomy & astrophysics, media_common, QB, Physics, 010308 nuclear & particles physics, European research, GALÁXIAS, Astronomy and Astrophysics, Astrophysics - Astrophysics of Galaxies, Space and Planetary Science, Research council, Astrophysics of Galaxies (astro-ph.GA), Fundamental physics, Christian ministry, galaxies: clusters [X-rays], National laboratory, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

The center determination of a galaxy cluster from an optical cluster finding algorithm can be offset from theoretical prescriptions or $N$-body definitions of its host halo center. These offsets impact the recovered cluster statistics, affecting both richness measurements and the weak lensing shear profile around the clusters. This paper models the centering performance of the \RM~cluster finding algorithm using archival X-ray observations of \RM-selected clusters. Assuming the X-ray emission peaks as the fiducial halo centers, and through analyzing their offsets to the \RM~centers, we find that $\sim 75\pm 8 \%$ of the \RM~clusters are well centered and the mis-centered offset follows a Gamma distribution in normalized, projected distance. These mis-centering offsets cause a systematic underestimation of cluster richness relative to the well-centered clusters, for which we propose a descriptive model. Our results enable the DES Y1 cluster cosmology analysis by characterizing the necessary corrections to both the weak lensing and richness abundance functions of the DES Y1 redMaPPer cluster catalog., Code used in this analysis is available from https://github.com/yyzhang/center_modeling_y1

Published
2019
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8. Measurement of the splashback feature around SZ-selected Galaxy clusters with DES, SPT, and ACT

Author

Ofer Lahav, J. Carretero, David Brooks, M. Smith, R. C. Smith, B. Flaugher, Risa H. Wechsler, J. Gschwend, Daniel Gruen, Marcelle Soares-Santos, A. E. Evrard, T. N. Varga, Marcos Lima, Lindsey Bleem, J. P. Dietrich, L. N. da Costa, T. M. Crawford, Laura Newburgh, Jeff McMahon, D. W. Gerdes, David J. James, M. E.C. Swanson, Edward J. Wollack, K. Honscheid, V. Scarpine, L. A. Page, J. C. Hill, Z. Zhang, Antony A. Stark, Pablo Fosalba, Michael D. Niemack, K. Bechtol, Eli S. Rykoff, Federico Nati, Chihway Chang, A. K. Romer, Sebastian Bocquet, Carlos E. Cunha, G. Gutierrez, Eric J. Baxter, Simone Aiola, M. A. G. Maia, George Stein, Suzanne T. Staggs, Jennifer L. Marshall, C. J. Miller, Nick Battaglia, Ramon Miquel, P. Doel, John E. Carlstrom, R. H. Schindler, Mathew S. Madhavacheril, Tim Eifler, Mark J. Devlin, Patricio A. Gallardo, Shantanu Desai, F. J. Castander, S. Patil, Zhilei Xu, Felipe Menanteau, Andrey V. Kravtsov, A. G. Kim, Steve K. Choi, Sigurd Naess, Loïc Maurin, Megan Gralla, Ricardo L. C. Ogando, Thomas McClintock, Gregory Tarle, Nikhel Gupta, A. Carnero Rosell, Ben Hoyle, E. J. Sanchez, S. P. Ho, Kevin M. Huffenberger, Flavia Sobreira, Elisabeth Krause, B. Partridge, S. Adhikari, Tesla E. Jeltema, Christian L. Reichardt, Juan Garcia-Bellido, E. Bertin, Bradford Benson, J. DeRose, E. Suchyta, Eduardo Rozo, Matt Hilton, D. L. Hollowood, S. Serrano, D. L. Burke, A. van Engelen, J. De Vicente, Kyler Kuehn, S. Allam, Robert A. Gruendl, Daniel Thomas, E. Buckley-Geer, Jo Dunkley, Joseph J. Mohr, John P. Hughes, A. A. Plazas, W. G. Hartley, T. Shin, Bhuvnesh Jain, J. R. Bond, M. Carrasco Kind, David Rapetti, Enrique Gaztanaga, Hao-Yi Wu, Mark Brodwin, Shin, T, Adhikari, S, Baxter, E, Chang, C, Jain, B, Battaglia, N, Bleem, L, Bocquet, S, Derose, J, Gruen, D, Hilton, M, Kravtsov, A, Mcclintock, T, Rozo, E, Rykoff, E, Varga, T, Wechsler, R, Wu, H, Zhang, Z, Aiola, S, Allam, S, Bechtol, K, Benson, B, Bertin, E, Bond, J, Brodwin, M, Brooks, D, Buckley-Geer, E, Burke, D, Carlstrom, J, Rosell, A, Kind, M, Carretero, J, Castander, F, Choi, S, Cunha, C, Crawford, T, Da Costa, L, De Vicente, J, Desai, S, Devlin, M, Dietrich, J, Doel, P, Dunkley, J, Eifler, T, Evrard, A, Flaugher, B, Fosalba, P, Gallardo, P, Garcia-Bellido, J, Gaztanaga, E, Gerdes, D, Gralla, M, Gruendl, R, Gschwend, J, Gupta, N, Gutierrez, G, Hartley, W, Hill, J, Ho, S, Hollowood, D, Honscheid, K, Hoyle, B, Huffenberger, K, Hughes, J, James, D, Jeltema, T, Kim, A, Krause, E, Kuehn, K, Lahav, O, Lima, M, Madhavacheril, M, Maia, M, Marshall, J, Maurin, L, Mcmahon, J, Menanteau, F, Miller, C, Miquel, R, Mohr, J, Naess, S, Nati, F, Newburgh, L, Niemack, M, Ogando, R, Page, L, Partridge, B, Patil, S, Plazas, A, Rapetti, D, Reichardt, C, Romer, A, Sanchez, E, Scarpine, V, Schindler, R, Serrano, S, Smith, M, Smith, R, Soares-Santos, M, Sobreira, F, Staggs, S, Stark, A, Stein, G, Suchyta, E, Swanson, M, Tarle, G, Thomas, D, Van Engelen, A, Wollack, E, Xu, Z, Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), DES, ACT, and SPT

Subjects
Cosmology and Nongalactic Astrophysics (astro-ph.CO), FOS: Physical sciences, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, clusters: general [Galaxies], 01 natural sciences, Cosmology: observation, Cosmology, 0103 physical sciences, Cluster (physics), observations [Cosmology], 010303 astronomy & astrophysics, Galaxy cluster, Astrophysics::Galaxy Astrophysics, STFC, QB, Physics, 010308 nuclear & particles physics, RCUK, Galaxies: evolution, Astronomy and Astrophysics, evolution [Galaxies], Astrophysics - Astrophysics of Galaxies, Galaxy, Redshift, South Pole Telescope, Space and Planetary Science, Astrophysics of Galaxies (astro-ph.GA), cosmology: observations, Atacama Cosmology Telescope, Halo, Galaxies: clusters: general, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

We present a detection of the splashback feature around galaxy clusters selected using their Sunyaev-Zel'dovich (SZ) signal. Recent measurements of the splashback feature around optically selected galaxy clusters have found that the splashback radius, $r_{\rm sp}$, is smaller than predicted by N-body simulations. A possible explanation for this discrepancy is that $r_{\rm sp}$ inferred from the observed radial distribution of galaxies is affected by selection effects related to the optical cluster-finding algorithms. We test this possibility by measuring the splashback feature in clusters selected via the SZ effect in data from the South Pole Telescope SZ survey and the Atacama Cosmology Telescope Polarimeter survey. The measurement is accomplished by correlating these clusters with galaxies detected in the Dark Energy Survey Year 3 data. The SZ observable used to select clusters in this analysis is expected to have a tighter correlation with halo mass and to be more immune to projection effects and aperture-induced biases than optically selected clusters. We find that the measured $r_{\rm sp}$ for SZ-selected clusters is consistent with the expectations from simulations, although the small number of SZ-selected clusters makes a precise comparison difficult. In agreement with previous work, when using optically selected redMaPPer clusters, $r_{\rm sp}$ is $\sim$ $2\sigma$ smaller than in the simulations. These results motivate detailed investigations of selection biases in optically selected cluster catalogs and exploration of the splashback feature around larger samples of SZ-selected clusters. Additionally, we investigate trends in the galaxy profile and splashback feature as a function of galaxy color, finding that blue galaxies have profiles close to a power law with no discernible splashback feature, which is consistent with them being on their first infall into the cluster., Comment: 17 pages, 13 figures, published in MNRAS

Published
2019
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9. Testing the lognormality of the galaxy and weak lensing convergence distributions from Dark Energy Survey maps

Author

E. Bertin, M. Carrasco Kind, A. Hawken, A. Benoit-Lévy, A. A. Plazas, Marcos Lima, David Brooks, M. E. C. Swanson, Gregory Tarle, Michael Schubnell, T. M. C. Abbott, Gary Bernstein, Joshua A. Frieman, Martin Crocce, G. Gutierrez, E. J. Sanchez, B. Flaugher, R. C. Smith, A. Carnero Rosell, R. A. Bernstein, Nikolay Kuropatkin, Enrique Gaztanaga, Robert Armstrong, Peter Melchior, Marc Manera, L. Clerkin, Steve Kent, Kyler Kuehn, Brian Nord, Vinu Vikram, K. Honscheid, Ramon Miquel, C. B. D'Andrea, Donnacha Kirk, I. Sevilla-Noarbe, J. P. Dietrich, Tim Eifler, Alistair R. Walker, D. L. Burke, Chihway Chang, Marcelle Soares-Santos, Daniel Gruen, Carlos E. Cunha, L. N. da Costa, E. Suchyta, August E. Evrard, P. Fosalba, S. Allam, Robert A. Gruendl, D. W. Gerdes, H. T. Diehl, David Bacon, David J. James, Shantanu Desai, Filipe B. Abdalla, Bhuvnesh Jain, Ofer Lahav, Flavia Sobreira, Benjamin Joachimi, Adam Amara, A. Roodman, A. K. Romer, Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), DES, Institut d'Astrophysique de Paris ( IAP ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Institut national des sciences de l'Univers ( INSU - CNRS ) -Centre National de la Recherche Scientifique ( CNRS ), UCL, Rhodes Univ, Swiss Fed Inst Technol, Univ Portsmouth, Inst Ciencies IEspai ICE, Univ Penn, Cerro Tololo Interamer Observ, Fermilab Natl Accelerator Lab, Princeton Univ, CNRS, Sorbonne Univ, Carnegie Observ, Stanford Univ, SLAC Natl Accelerator Lab, Lab Interinst Astron LIneA, Observ Nacl, Univ Illinois, Natl Ctr Supercomp Applicat, Univ Southampton, Excellence Cluster Univ, Ludwig Maximilians Univ Munchen, CALTECH, Univ Michigan, Univ Chicago, Ohio State Univ, Australian Astron Observ, Universidade de São Paulo (USP), Inst Catalana Recerca Estudis Avancats, Dept Phys & Astron, Ctr Invest Energet, and Universidade Estadual Paulista (Unesp)

Subjects
Cosmology and Gravitation, Cosmology and Nongalactic Astrophysics (astro-ph.CO), Gaussian, [ PHYS.ASTR ] Physics [physics]/Astrophysics [astro-ph], FOS: Physical sciences, Probability density function, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, 01 natural sciences, symbols.namesake, gravitational lensing: weak, Joint probability distribution, weak [gravitational lensing], 0103 physical sciences, Statistical physics, Density contrast, 010303 astronomy & astrophysics, Weak gravitational lensing, STFC, QB, Physics, 010308 nuclear & particles physics, RCUK, Astronomy and Astrophysics, Galaxy, observations [cosmology], Space and Planetary Science, cosmology: observations, Log-normal distribution, Dark energy, symbols, astro-ph.CO, large-scale structure of Universe, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

It is well known that the probability distribution function (PDF) of galaxy density contrast is approximately lognormal; whether the PDF of mass fluctuations derived from weak lensing convergence (kappa_WL) is lognormal is less well established. We derive PDFs of the galaxy and projected matter density distributions via the Counts in Cells (CiC) method. We use maps of galaxies and weak lensing convergence produced from the Dark Energy Survey (DES) Science Verification data over 139 deg^2. We test whether the underlying density contrast is well described by a lognormal distribution for the galaxies, the convergence and their joint PDF. We confirm that the galaxy density contrast distribution is well modeled by a lognormal PDF convolved with Poisson noise at angular scales from 10-40 arcmin (corresponding to physical scales of 3-10 Mpc). We note that as kappa_WL is a weighted sum of the mass fluctuations along the line of sight, its PDF is expected to be only approximately lognormal. We find that the kappa_WL distribution is well modeled by a lognormal PDF convolved with Gaussian shape noise at scales between 10 and 20 arcmin, with a best-fit chi^2/DOF of 1.11 compared to 1.84 for a Gaussian model, corresponding to p-values 0.35 and 0.07 respectively, at a scale of 10 arcmin. Above 20 arcmin a simple Gaussian model is sufficient. The joint PDF is also reasonably fitted by a bivariate lognormal. As a consistency check we compare the variances derived from the lognormal modelling with those directly measured via CiC. Our methods are validated against maps from the MICE Grand Challenge N-body simulation., Comment: 17 pages, 14 figures, submitted to MNRAS

Published
2017
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10. The Dark Energy Survey: more than dark energy – an overview

Author

V. Scarpine, Peter Doel, Alex Drlica-Wagner, M. Carrasco-Kind, Eric H. Neilsen, H. T. Diehl, William G. Hartley, Martin Crocce, David Bacon, Jochen Weller, Huan Lin, Michael Schubnell, L. Clerkin, Daniel Thomas, E. Buckley-Geer, L. Whiteway, A. K. Romer, Paul Martini, J. Fabbri, Marcio A. G. Maia, Donnacha Kirk, Alistair R. Walker, Marcelle Soares-Santos, C. Bonnett, Brian Yanny, T. M. C. Abbott, Antonella Palmese, Erin Sheldon, David Brooks, M. E. C. Swanson, Hiranya V. Peiris, D. L. Burke, Shantanu Desai, E. J. Sanchez, Mathew Smith, Stephanie Jouvel, A. Benoit-Lévy, Vinu Vikram, Ryan J. Foley, I. Sadeh, A. L. King, Joe Zuntz, Jennifer L. Marshall, Ashley J. Ross, S. Allam, Marcella Carollo, Robert A. Gruendl, H. Wilcox, C. B. D'Andrea, J. Etherington, F. B. Abdalla, Bhuvnesh Jain, Xan Morice-Atkinson, Tesla E. Jeltema, F. Ostrovski, David J. James, Yanming Zhang, Christopher J. Miller, Ramon Miquel, A. Carnero-Rosell, C. Sánchez, John Peoples, B. Flaugher, Pablo Fosalba, E. Bertin, Ofer Lahav, Keith Bechtol, Maayane T. Soumagnac, Will J. Percival, Thomas E. Collett, Daniel Gruen, Nikolay Kuropatkin, A. Papadopoulos, W. C. Wester, Robert Connon Smith, Manda Banerji, Flavia Sobreira, Gary Bernstein, Jon J Thaler, Alex Merson, G. Gutierrez, P. Guarnieri, Brian Nord, G. B. Caminha, Basilio X. Santiago, Joseph J. Mohr, Eduardo Balbinot, S. L. Reed, Ricardo L. C. Ogando, Juan Estrada, Adam Amara, Risa H. Wechsler, E. Suchyta, August E. Evrard, Joaquin Vieira, Alexandre Refregier, Robert J. Brunner, Krishna Naidoo, Tianjun Li, Joshua A. Frieman, A. Roodman, Tommaso Giannantonio, I. Sevilla-Noarbe, Christopher J. Conselice, Claudia Maraston, A. A. Plazas, Diego Capozzi, L. N. da Costa, Robert C. Nichol, J. Carretero, D. W. Gerdes, Tamara M. Davis, Peter Melchior, Enrique Gaztanaga, Daniel A. Goldstein, Marc Manera, Francisco J. Castander, J. P. Dietrich, Richard G. McMahon, J. Carlsen, D. A. Finley, Mark Sullivan, Juan Garcia-Bellido, Eduardo Rozo, Jelena Aleksić, R. C. Thomas, Eli S. Rykoff, Richard G. Kron, K. Honscheid, Marcos Lima, Douglas L. Tucker, Kyler Kuehn, Jonathan Blazek, Sarah Bridle, Scott Dodelson, Carlos E. Cunha, Martin Makler, M. Sako, Richard Kessler, and G. Tarle

Subjects
Cosmology and Gravitation, Cosmology and Nongalactic Astrophysics (astro-ph.CO), supernovae, astro-ph.GA, quasars, FOS: Physical sciences, Library science, Astrophysics::Cosmology and Extragalactic Astrophysics, 01 natural sciences, Galaxies general, surveys, minor plantes, asteroids, galaxies, 0103 physical sciences, media_common.cataloged_instance, Deslocamento para o vermelho, European union, Astronomy observatory, Galáxias, 010303 astronomy & astrophysics, STFC, Astrophysics::Galaxy Astrophysics, media_common, QB, Physics, Mapeamentos astronômicos, 010308 nuclear & particles physics, Surveys minor planets, European research, RCUK, Astronomy, Astronomy and Astrophysics, Asteroids general, Astrophysics - Astrophysics of Galaxies, Quasars general, Supernovae general, Galaxy, Space and Planetary Science, Astrophysics of Galaxies (astro-ph.GA), Fundamental physics, astro-ph.CO, Christian ministry, Galaxy general, National laboratory, surveys – minor planets, asteroids: general – supernovae: general – Galaxy: general – galaxies: general – quasars: general, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

This overview article describes the legacy prospect and discovery potential of the Dark Energy Survey (DES) beyond cosmological studies, illustrating it with examples from the DES early data. DES is using a wide-field camera (DECam) on the 4m Blanco Telescope in Chile to image 5000 sq deg of the sky in five filters (grizY). By its completion the survey is expected to have generated a catalogue of 300 million galaxies with photometric redshifts and 100 million stars. In addition, a time-domain survey search over 27 sq deg is expected to yield a sample of thousands of Type Ia supernovae and other transients. The main goals of DES are to characterise dark energy and dark matter, and to test alternative models of gravity; these goals will be pursued by studying large scale structure, cluster counts, weak gravitational lensing and Type Ia supernovae. However, DES also provides a rich data set which allows us to study many other aspects of astrophysics. In this paper we focus on additional science with DES, emphasizing areas where the survey makes a difference with respect to other current surveys. The paper illustrates, using early data (from `Science Verification', and from the first, second and third seasons of observations), what DES can tell us about the solar system, the Milky Way, galaxy evolution, quasars, and other topics. In addition, we show that if the cosmological model is assumed to be Lambda+ Cold Dark Matter (LCDM) then important astrophysics can be deduced from the primary DES probes. Highlights from DES early data include the discovery of 34 Trans Neptunian Objects, 17 dwarf satellites of the Milky Way, one published z > 6 quasar (and more confirmed) and two published superluminous supernovae (and more confirmed)., 32 pages, 15 figures; a revised Figure 1 and minor changes, to match the published MNRAS version

Published
2016
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11. CMB lensing tomography with the DES Science Verification galaxies

Author

Flavia Sobreira, Ricardo L. C. Ogando, Peter Doel, Martin Crocce, H. T. Diehl, Jennifer L. Marshall, T. M. Crawford, Robert Crittenden, Robert Connon Smith, W. L. Holzapfel, A. H. Bauer, G. Simard, E. Fernandez, M. March, M. Carrasco Kind, I. Sevilla-Noarbe, E. Suchyta, August E. Evrard, L. N. da Costa, Robert C. Nichol, Peter Melchior, F. B. Abdalla, E. Bertin, K. T. Story, B. Soergel, C. L. Chang, Benjamin Saliwanchik, Gary Bernstein, A. Benoit-Lévy, J. Carretero, Brian Nord, M. Sako, Joshua A. Frieman, A. Roodman, Manda Banerji, Tommaso Giannantonio, Dragan Huterer, Vinu Vikram, G. Gutierrez, J. P. Dietrich, Enrique Gaztanaga, Bradford Benson, Robert Armstrong, B. Flaugher, Kyler Kuehn, D. L. Burke, Nikolay Kuropatkin, S. Allam, Robert A. Gruendl, D. A. Finley, Elisabeth Krause, A. K. Romer, Paul Martini, A. Fausti Neto, Tim Eifler, Jochen Weller, Marcos Lima, Ramon Miquel, Will J. Percival, T. M. C. Abbott, Antony A. Stark, Risa H. Wechsler, Joaquin Vieira, Gregory Tarle, Hiranya V. Peiris, Tianjun Li, Eli S. Rykoff, Ofer Lahav, E. J. Sanchez, A. Carnero Rosell, K. Honscheid, Scott Dodelson, Y. Omori, Carlos E. Cunha, Bhuvnesh Jain, R. A. Bernstein, Joe Zuntz, David J. James, Pablo Fosalba, Shantanu Desai, David Brooks, M. E. C. Swanson, Darren L. DePoy, Ashley J. Ross, John E. Carlstrom, J. J. Thaler, A. A. Plazas, Diego Capozzi, Joseph J. Mohr, C. B. D'Andrea, Donnacha Kirk, Alistair R. Walker, Michael Schubnell, Christian L. Reichardt, Marcelle Soares-Santos, R. Cawthon, Daniel Thomas, E. Buckley-Geer, F. Elsner, Gilbert Holder, Francisco J. Castander, Daniel Gruen, D. W. Gerdes, and Boris Leistedt

Subjects
Cosmology and Gravitation, Cosmology and Nongalactic Astrophysics (astro-ph.CO), ANGULAR POWER SPECTRUM, Cosmic microwave background, Dark matter, STOCHASTIC BIAS, FOS: Physical sciences, cosmic background radiation, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, Astronomy & Astrophysics, 01 natural sciences, INTEGRATED SACHS-WOLFE, gravitational lensing: weak, weak [gravitational lensing], Observational cosmology, LARGE-SCALE STRUCTURE, 0201 Astronomical and Space Sciences, 0103 physical sciences, 100 SQUARE DEGREES, 010303 astronomy & astrophysics, STFC, Weak gravitational lensing, Astrophysics::Galaxy Astrophysics, QB, Physics, Science & Technology, DARK ENERGY SURVEY, 010308 nuclear & particles physics, RCUK, Astronomy, Astronomy and Astrophysics, Redshift survey, ST/L000636/1, Redshift, CHALLENGE LIGHTCONE SIMULATION, South Pole Telescope, MICROWAVE BACKGROUND ANISOTROPIES, Space and Planetary Science, Physical Sciences, CROSS-CORRELATION, astro-ph.CO, Dark energy, large-scale structure of Universe, ATACAMA COSMOLOGY TELESCOPE, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

We measure the cross-correlation between the galaxy density in the Dark Energy Survey (DES) Science Verification data and the lensing of the cosmic microwave background (CMB) as reconstructed with the Planck satellite and the South Pole Telescope (SPT). When using the DES main galaxy sample over the full redshift range $0.2 < z < 1.2$, a cross-correlation signal is detected at $6 \sigma$ and $4\sigma$ with SPT and Planck respectively. We then divide the DES galaxies into five photometric redshift bins, finding significant ($>$$2 \sigma$) detections in all bins. Comparing to the fiducial Planck cosmology, we find the redshift evolution of the signal matches expectations, although the amplitude is consistently lower than predicted across redshift bins. We test for possible systematics that could affect our result and find no evidence for significant contamination. Finally, we demonstrate how these measurements can be used to constrain the growth of structure across cosmic time. We find the data are fit by a model in which the amplitude of structure in the $z, Comment: 32 pages, 29 figures, minor modifications to match version published by MNRAS

Published
2016
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12. Stellar mass as a galaxy cluster mass proxy: application to the Dark Energy Survey redMaPPer clusters

Author

Julian A. Mayers, J. De Vicente, Flavia Sobreira, John P. Stott, W. G. Hartley, J. Carretero, N. Kuropatkin, R. D. Wilkinson, M. Carrasco Kind, Joshua A. Frieman, J. P. Dietrich, S. Desai, David J. Brooks, B. Welch, J. Burgad, A. K. Romer, Marcelle Soares-Santos, Robert G. Mann, J. DeRose, David J. James, Pablo Fosalba, V. Scarpine, Andrew R. Liddle, G. Gutierrez, Salcedo Romero de Ávila, F. J. Castander, Pedro T. P. Viana, E. Suchyta, A. A. Plazas, C. Vergara Cervantes, I. Sevilla-Noarbe, Marcos Lima, August E. Evrard, Antonella Palmese, T. McClintock, T. N. Varga, P. Rooney, M. A. G. Maia, L. N. da Costa, Matt Hilton, E. J. Sanchez, B. Flaugher, Daniel Thomas, E. Buckley-Geer, Douglas L. Tucker, Kyler Kuehn, Paul Giles, Martin Sahlén, Chris A. Collins, Daniel Gruen, Michael Schubnell, Vinu Vikram, M. da Silva Pereira, Tesla E. Jeltema, D. L. Hollowood, S. Serrano, Juan Garcia-Bellido, D. W. Gerdes, Eduardo Rozo, Ramon Miquel, Han Lin, A. Bermeo, Peter Doel, D. L. Burke, H. T. Diehl, R. L. C. Ogando, Robert A. Gruendl, J. Gschwend, Elisabeth Krause, Ofer Lahav, Yanxi Zhang, Arya Farahi, A. Roodman, M. E. C. Swanson, J. Annis, Felipe Menanteau, Boris Leistedt, Sunayana Bhargava, Gregory Tarle, Jennifer L. Marshall, K. Honscheid, Risa H. Wechsler, Eli S. Rykoff, A. Carnero Rosell, A. R. Walker, Department of Energy (US), National Science Foundation (US), Ministerio de Ciencia, Innovación y Universidades (España), Science and Technology Facilities Council (UK), University of Illinois, Kavli Institute for Theoretical Physics, University of Chicago, The Ohio State University, Texas A&M University, Financiadora de Estudos e Projetos (Brasil), Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro, Conselho Nacional de Desenvolvimento Científico e Tecnológico (Brasil), Ministério da Ciência, Tecnologia e Inovação (Brasil), and German Research Foundation

Subjects
Cosmology and Nongalactic Astrophysics (astro-ph.CO), Stellar mass, Astrophysics::High Energy Astrophysical Phenomena, FOS: Physical sciences, haloesSurveys [Galaxies], Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, clusters: general [Galaxies], 01 natural sciences, surveys, Astronomi, astrofysik och kosmologi, 0103 physical sciences, Cluster (physics), Astrophysics::Solar and Stellar Astrophysics, Astronomy, Astrophysics and Cosmology, Galaxies: haloesSurveys, observations [Cosmology], 010303 astronomy & astrophysics, Scaling, Astrophysics::Galaxy Astrophysics, Galaxy cluster, QC, QB, Physics, 010308 nuclear & particles physics, Cosmology: observations, Galaxies: evolution, Astronomy and Astrophysics, Observable, evolution [Galaxies], Redshift, haloes [galaxies], Space and Planetary Science, Dark energy, Galaxies: clusters: general, Astrophysics::Earth and Planetary Astrophysics, Halo, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

We introduce a galaxy cluster mass observable, μ*, based on the stellar masses of cluster members, and we present results for the Dark Energy Survey (DES) Year 1 (Y1) observations. Stellar masses are computed using a Bayesian model averaging method, and are validated for DES data using simulations and COSMOS data. We show that μ* works as a promising mass proxy by comparing our predictions to X-ray measurements. We measure the X-ray temperature–μ* relation for a total of 129 clusters matched between the wide-field DES Y1 redMaPPer catalogue and Chandra and XMM archival observations, spanning the redshift range 0.1 < z < 0.7. For a scaling relation that is linear in logarithmic space, we find a slope of α = 0.488 ± 0.043 and a scatter in the X-ray temperature at fixed μ* of σ|μ* = 0.266 for the joint sample. By using the halo mass scaling relations of the X-ray temperature from the Weighing the Giants program, we further derive the μ*-conditioned scatter in mass, finding σM|μ* = 0.26. These results are competitive with well-established cluster mass proxies used for cosmological analyses, showing that μ* can be used as a reliable and physically motivated mass proxy to derive cosmological constraints., AP acknowledges the UCL PhD studentship and the URA Visiting scholar award. AF is supported by a McWilliams Postdoctoral Fellowship. OL acknowledges support from a European Research Council Advanced Grant FP7/291329. SB acknowledges support from the UK Science and Technology Facilities Council via Research Training Grant ST/N504452/1. TOPCAT (Taylor 2005) has been extensively used in this work. Funding for the DES Projects has been provided by the U.S. Department of Energy, the U.S. National Science Foundation, the Ministry of Science and Education of Spain, the Science and Technology Facilities Council of the United Kingdom, the Higher Education Funding Council for England, the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign, the Kavli Institute of Cosmological Physics at the University of Chicago, the Center for Cosmology and Astro-Particle Physics at the Ohio State University, the Mitchell Institute for Fundamental Physics and Astronomy at Texas A&M University, Financiadora de Estudos e Projetos, Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro, Conselho Nacional de Desenvolvimento Científico e Tecnológico and the Ministério da Ciência, Tecnologia e Inovação, the Deutsche Forschungsgemeinschaft and the Collaborating Institutions in the Dark Energy Survey. The DES data management system is supported by the National Science Foundation under Grant Number AST-1138766. The DES participants from Spanish institutions are partially supported by MINECO under grants AYA2012-39559, ESP2013-48274, FPA2013-47986, and Centro de Excelencia Severo Ochoa SEV-2012-0234. Research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Programme (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478.

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