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29,121 results on '"CHANG, S"'

1. Constraining the geometry of the gas surrounding a typical galaxy at $z = 3.4$ with Ly$\alpha$ polarization

Author

Bolamperti, A., Chang, S. -J., Vernet, J., Zanella, A., Gronke, M., Battaia, F. Arrigoni, Calura, F., Iani, E., and Vanzella, E.

Subjects
Astrophysics - Astrophysics of Galaxies
Abstract

Ly$\alpha$ emission is the strongest tracer of recombining ionized hydrogen in young, star-forming galaxies, but its origin is still debated. Ly$\alpha$ arises when emitted photons scatter in neutral hydrogen and, so far, observational efforts have mostly focused on the Ly$\alpha$ surface brightness and spectral profile, which depend on the neutral hydrogen column density, geometry, kinematics, powering mechanism and on the region from which the photons are emitted. Different processes produce similar spectra, but have different degrees of polarization, that we can use to discriminate between them. In this paper, we present the first spectropolarimetric observations of a typical star-forming galaxy at $z\sim 3.4$, strongly lensed by the cluster of galaxies Abell 2895, taken with the PMOS mode of the VLT/FORS2 instrument. We measure a Ly$\alpha$ degree of polarization $1\sigma$ upper limit of $4.6\%$. We develop new Ly$\alpha$ radiative transfer models to reproduce the observations, that can be explained by assuming the star-forming galaxy being embedded in a CGM with a biconical outflow geometry, with an opening angle of the wind $\theta_{o,Wind}\sim 30^\circ$ for line-of-sight angles $\theta_{LOS} \leq 20^\circ$, $\theta_{o,Wind}\sim 45^\circ$ for $\theta_{LOS}\leq 20^\circ$, $\theta_{o,Wind}\sim 60^\circ$ for $\theta_{LOS}\leq 20^\circ$, and $\theta_{o,Wind}\sim 75^\circ$ for $\theta_{LOS}\leq 40^\circ$, where $\theta_{LOS}=0^\circ$ means observing in the direction of the outflow. We notice that the constraints from polarization are complementary to those from the spectral line profile. This study shows the potential of adding measurements of the Ly$\alpha$ degree of polarization to constrain the geometry of the gas surrounding typical star-forming galaxies and paves the way to spatially resolved studies that will allow us to disentangle between different Ly$\alpha$ origin mechanisms., Comment: Accepted for publication in A&A. 12 pages (15 with Appendix) and 7 figures

Published
2025

7. Absolute Flux Density Calibration of the Greenland Telescope Data for Event Horizon Telescope Observations

Author

Koay, J. Y., Asada, K., Matsushita, S., Kuo, C. -Y., Huang, C. -W. L., Romero-Cañizales, C., Koyama, S., Park, J., Lo, W. -P., Bower, G., Chen, M. -T., Chang, S. -H., Chen, C. -C., Chilson, R., Han, C. C., Ho, P. T. P., Huang, Y. -D., Inoue, M., Jeter, B., Jiang, H., Koch, P. M., Kubo, D., Li, C. -T., Liu, C. -T., Liu, K. -Y., Martin-Cocher, P., Nakamura, M., Norton, T. J., Nystrom, G., Oshiro, P., Patel, N., Pen, U. -L., Pu, H. -Y, Raffin, P. A., Rao, R., Sridharan, T. K., Srinivasan, R., and Wei, T. -S

Subjects
Astrophysics - Instrumentation and Methods for Astrophysics
Abstract

Starting from the observing campaign in April 2018, the Greenland Telescope (GLT) has been added as a new station of the Event Horizon Telescope (EHT) array. Visibilities on baselines to the GLT, particularly in the North-South direction, potentially provide valuable new constraints for the modeling and imaging of sources such as M87*. The GLT's location at high Northern latitudes adds unique challenges to its calibration strategies. Additionally, the performance of the GLT was not optimal during the 2018 observations due to it being only partially commissioned at the time. This document describes the steps taken to estimate the various parameters (and their uncertainties) required for the absolute flux calibration of the GLT data as part of the EHT. In particular, we consider the non-optimized status of the GLT in 2018, as well as its improved performance during the 2021 EHT campaign., Comment: 17 pages, 4 figures, EHT Memo Series 2023-L1-02

Published
2023

8. Direct detection of 4-dimensions of SARS-CoV-2: infection (vRNA), infectivity (antigen), binding antibody, and functional neutralizing antibody in saliva

Author

Mohammadi, Aida, Chiang, Samantha, Li, Feng, Wei, Fang, Lau, Chang S, Aziz, Mohammad, Ibarrondo, Francisco J, Fulcher, Jennifer A, Yang, Otto O, Chia, David, Kim, Yong, and Wong, David TW

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Immunology, Infectious Diseases, Emerging Infectious Diseases, Coronaviruses, Biotechnology, 4.1 Discovery and preclinical testing of markers and technologies, Infection, Humans, Saliva, SARS-CoV-2, COVID-19, Antibodies, Neutralizing, RNA, Viral, Antibodies, Viral, Male, Female, Antigens, Viral, Adult, Middle Aged, Sensitivity and Specificity, Aged
Abstract

We developed a 4-parameter clinical assay using Electric Field Induced Release and Measurement (EFIRM) technology to simultaneously assess SARS-CoV-2 RNA (vRNA), nucleocapsid antigen, host binding (BAb) and neutralizing antibody (NAb) levels from a drop of saliva with performance that equals or surpasses current EUA-approved tests. The vRNA and antigen assays achieved lower limit of detection (LOD) of 100 copies/reaction and 3.5 TCID₅₀/mL, respectively. The vRNA assay differentiated between acutely infected (n = 10) and infection-naïve patients (n = 33) with an AUC of 0.9818, sensitivity of 90%, and specificity of 100%. The antigen assay similarly differentiated these patient populations with an AUC of 1.000. The BAb assay detected BAbs with an LOD of 39 pg/mL and distinguished acutely infected (n = 35), vaccinated with prior infection (n = 13), and vaccinated infection-naïve patients (n = 13) from pre-pandemic (n = 81) with AUC of 0.9481, 1.000, and 0.9962, respectively. The NAb assay detected NAbs with a LOD of 31.6 Unit/mL and differentiated between COVID-19 recovered or vaccinated patients (n = 31) and pre-pandemic controls (n = 60) with an AUC 0.923, sensitivity of 87.10%, and specificity of 86.67%. Our combo assay represents a significant technological advancement to simultaneously address SARS-CoV-2 infection and immunity, and it lays the foundation for tackling potential future pandemics.

Published
2024

10. Low Rank Properties for Estimating Microphones Start Time and Sources Emission Time

Author

Cao, Faxian, Cheng, Yongqiang, Khan, Adil Mehmood, Yang, Zhijing, and Chang, S. M. Ahsan Kazmiand Yingxiu

Subjects
Electrical Engineering and Systems Science - Audio and Speech Processing, Computer Science - Sound
Abstract

Uncertainty in timing information pertaining to the start time of microphone recordings and sources' emission time pose significant challenges in various applications, such as joint microphones and sources localization. Traditional optimization methods, which directly estimate this unknown timing information (UTIm), often fall short compared to approaches exploiting the low-rank property (LRP). LRP encompasses an additional low-rank structure, facilitating a linear constraint on UTIm to help formulate related low-rank structure information. This method allows us to attain globally optimal solutions for UTIm, given proper initialization. However, the initialization process often involves randomness, leading to suboptimal, local minimum values. This paper presents a novel, combined low-rank approximation (CLRA) method designed to mitigate the effects of this random initialization. We introduce three new LRP variants, underpinned by mathematical proof, which allow the UTIm to draw on a richer pool of low-rank structural information. Utilizing this augmented low-rank structural information from both LRP and the proposed variants, we formulate four linear constraints on the UTIm. Employing the proposed CLRA algorithm, we derive global optimal solutions for the UTIm via these four linear constraints.Experimental results highlight the superior performance of our method over existing state-of-the-art approaches, measured in terms of both the recovery number and reduced estimation errors of UTIm., Comment: 13 pages for main content; 9 pages for proof of proposed low rank properties; 13 figures

Published
2023

13. Direct Detection of 4-Dimensions of SARS-CoV-2: Infection (vRNA), Infectivity (Antigen), Binding Antibody, and Functional Neutralizing Antibody in Saliva

Author

Mohammadi, Aida, Chiang, Samantha, Li, Feng, Wei, Fang, Lau, Chang S, Aziz, Mohammad, Ibarrondo, Francisco J, Fulcher, Jennifer A, Yang, Otto O, Chia, David, Kim, Yong, and Wong, David TW

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Immunology, Emerging Infectious Diseases, Infectious Diseases, Coronaviruses, 4.1 Discovery and preclinical testing of markers and technologies, Infection
Abstract

We developed a 4-parameter clinical assay using Electric Field Induced Release and Measurement (EFIRM) technology to simultaneously assess SARS-CoV-2 RNA (vRNA), nucleocapsid antigen, host binding (BAb) and neutralizing antibody (NAb) levels from a drop of saliva with performance that equals or surpasses current EUA-approved tests. The vRNA and antigen assays achieved lower limit of detection (LOD) of 100 copies/reaction and 3.5 TCID₅₀/mL, respectively. The vRNA assay differentiated between acutely infected (n=10) and infection-naïve patients (n=33) with an AUC of 0.9818, sensitivity of 90%, and specificity of 100%. The antigen assay similarly differentiated these patient populations with an AUC of 1.000. The BAb assay detected BAbs with an LOD of 39 pg/mL and distinguished acutely infected (n=35), vaccinated with prior infection (n=13), and vaccinated infection-naïve patients (n=13) from control (n=81) with AUC of 0.9481, 1.000, and 0.9962, respectively. The NAb assay detected NAbs with an LOD of 31.6 Unit/mL and differentiated between COVID-19 recovered or vaccinated patients (n=31) and pre-pandemic controls (n=60) with an AUC 0.923, sensitivity of 87.10%, and specificity of 86.67%. Our multiparameter assay represents a significant technological advancement to simultaneously address SARS-CoV-2 infection and immunity, and it lays the foundation for tackling potential future pandemics.

Published
2023

14. Therapy-induced APOBEC3A drives evolution of persistent cancer cells

Author

Isozaki, Hideko, Sakhtemani, Ramin, Abbasi, Ammal, Nikpour, Naveed, Stanzione, Marcello, Oh, Sunwoo, Langenbucher, Adam, Monroe, Susanna, Su, Wenjia, Cabanos, Heidie Frisco, Siddiqui, Faria M, Phan, Nicole, Jalili, Pégah, Timonina, Daria, Bilton, Samantha, Gomez-Caraballo, Maria, Archibald, Hannah L, Nangia, Varuna, Dionne, Kristin, Riley, Amanda, Lawlor, Matthew, Banwait, Mandeep Kaur, Cobb, Rosemary G, Zou, Lee, Dyson, Nicholas J, Ott, Christopher J, Benes, Cyril, Getz, Gad, Chan, Chang S, Shaw, Alice T, Gainor, Justin F, Lin, Jessica J, Sequist, Lecia V, Piotrowska, Zofia, Yeap, Beow Y, Engelman, Jeffrey A, Lee, Jake June-Koo, Maruvka, Yosef E, Buisson, Rémi, Lawrence, Michael S, and Hata, Aaron N

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Cancer, Lung Cancer, Precision Medicine, Human Genome, Genetics, Lung, Cancer Genomics, 5.1 Pharmaceuticals, 2.1 Biological and endogenous factors, Good Health and Well Being, Humans, Cytidine Deaminase, DNA Breaks, Double-Stranded, Genomic Instability, Lung Neoplasms, Molecular Targeted Therapy, Mutation, Drug Resistance, Neoplasm, General Science & Technology
Abstract

Acquired drug resistance to anticancer targeted therapies remains an unsolved clinical problem. Although many drivers of acquired drug resistance have been identified1-4, the underlying molecular mechanisms shaping tumour evolution during treatment are incompletely understood. Genomic profiling of patient tumours has implicated apolipoprotein B messenger RNA editing catalytic polypeptide-like (APOBEC) cytidine deaminases in tumour evolution; however, their role during therapy and the development of acquired drug resistance is undefined. Here we report that lung cancer targeted therapies commonly used in the clinic can induce cytidine deaminase APOBEC3A (A3A), leading to sustained mutagenesis in drug-tolerant cancer cells persisting during therapy. Therapy-induced A3A promotes the formation of double-strand DNA breaks, increasing genomic instability in drug-tolerant persisters. Deletion of A3A reduces APOBEC mutations and structural variations in persister cells and delays the development of drug resistance. APOBEC mutational signatures are enriched in tumours from patients with lung cancer who progressed after extended responses to targeted therapies. This study shows that induction of A3A in response to targeted therapies drives evolution of drug-tolerant persister cells, suggesting that suppression of A3A expression or activity may represent a potential therapeutic strategy in the prevention or delay of acquired resistance to lung cancer targeted therapy.

Published
2023

17. Quantum-improved phase estimation with a displacement-assisted SU(1,1) interferometer

Author

Ye, W., Chang, S. K., Gao, S. Y., Zhang, H., Xia, Y., and Rao, X.

Subjects
Quantum Physics
Abstract

By performing two local displacement operations (LDOs) inside an SU(1,1) interferometer, called as the displacement-assisted SU(1,1) [DSU(1,1)], both the phase sensitivity based on homodyne detection and quantum Fisher information (QFI) with and without photon losses are investigated in this paper. In this DSU(1,1) interferometer, we focus our attention on the extent to which the introduced LDO affects the phase sensitivity and the QFI, even in the realistic scenario. Our analyses show that the estimation performance of DSU(1,1) interferometer is always better than that of SU(1,1) interferometer without the LDO, especially the phase precision of the former in the ideal scenario gradually approaching to the Heisenberg limit via the increase of the LDO strength. More significantly, different from the latter, the robustness of the former can be enhanced markedly by regulating and controlling the LDO. Our findings would open an useful view for quantum-improved phase estimation of optical interferometers., Comment: 12 pages, 11 figures

Published
2022

18. Theoretical Approaches for the Damage Identification in the Timoshenko Beam Based on Solving a Coefficient Inverse Problem

Author

Yakovlev, V. E., Cherpakov, A. V., Chang, S.-H., Ghosh, Arindam, Series Editor, Chua, Daniel, Series Editor, de Souza, Flavio Leandro, Series Editor, Aktas, Oral Cenk, Series Editor, Han, Yafang, Series Editor, Gong, Jianghong, Series Editor, Jawaid, Mohammad, Series Editor, Parinov, Ivan A., editor, Chang, Shun-Hsyung, editor, and Putri, Erni Puspanantasari, editor

Published
2024
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21. Report of the Topical Group on Higgs Physics for Snowmass 2021: The Case for Precision Higgs Physics

Author

Dawson, Sally, Meade, Patrick, Ojalvo, Isobel, Vernieri, Caterina, Adhikari, S., Abu-Ajamieh, F., Alberta, A., Bahl, H., Barman, R., Basso, M., Beniwal, A., Bozovi-Jelisav, I., Bright-Thonney, S., Cairo, V., Celiberto, F., Chang, S., Chen, M., Damerell, C., Davis, J., de Blas, J., Dekens, W., Duarte, J., Egana-Ugrinovic, D., Einhaus, U., Gao, Y., Goncalves, D., Gritsan, A., Haber, H., Heintz, U., Homiller, S., Hsu, S. C., Jean, D., Kawada, S., Khoda, E., Kong, K., Konstantinidis, N., Korytov, A., Kyriacou, S., Lane, S., Lewis, I. M., Li, K., Li, S., Liu, Z., Luo, J., Mandacar-Guerra, L., Mantel, C., Monroy, J., Narain, M., Orr, R., Pan, R., Papaefstathiou, A., Peskin, M., Prim, M. T., Rajec, F., Ramsey-Musolf, M., Reichert, J., Reina, L., Robens, T., Roskes, J., Ryd, A., Schwartzman, A., Scott, P., Strube, J., Dong, Su, Su, W., Sullivan, M., Tanabe, T., Tian, J., Tricoli, A., Usai, E., Vavra, J., Wang, Z., White, G., White, M., Williams, A. G., Woodcock, A., Wu, Y., Young, C., Zhang, Y., Zhu, X., and Zou, R.

Subjects
High Energy Physics - Phenomenology, High Energy Physics - Experiment, High Energy Physics - Theory
Abstract

A future Higgs Factory will provide improved precision on measurements of Higgs couplings beyond those obtained by the LHC, and will enable a broad range of investigations across the fields of fundamental physics, including the mechanism of electroweak symmetry breaking, the origin of the masses and mixing of fundamental particles, the predominance of matter over antimatter, and the nature of dark matter. Future colliders will measure Higgs couplings to a few per cent, giving a window to beyond the Standard Model (BSM) physics in the 1-10 TeV range. In addition, they will make precise measurements of the Higgs width, and characterize the Higgs self-coupling. This report details the work of the EF01 and EF02 working groups for the Snowmass 2021 study., Comment: 44 pages, 40 figures, Report of the Topical Group on Higgs Physics for Snowmass 2021. The first four authors are the Conveners, with Contributions from the other authors

Published
2022

23. A Next-Generation Liquid Xenon Observatory for Dark Matter and Neutrino Physics

Author

Aalbers, J., Abe, K., Aerne, V., Agostini, F., Maouloud, S. Ahmed, Akerib, D. S., Akimov, D. Yu., Akshat, J., Musalhi, A. K. Al, Alder, F., Alsum, S. K., Althueser, L., Amarasinghe, C. S., Amaro, F. D., Ames, A., Anderson, T. J., Andrieu, B., Angelides, N., Angelino, E., Angevaare, J., Antochi, V. C., Martin, D. Antón, Antunovic, B., Aprile, E., Araújo, H. M., Armstrong, J. E., Arneodo, F., Arthurs, M., Asadi, P., Baek, S., Bai, X., Bajpai, D., Baker, A., Balajthy, J., Balashov, S., Balzer, M., Bandyopadhyay, A., Bang, J., Barberio, E., Bargemann, J. W., Baudis, L., Bauer, D., Baur, D., Baxter, A., Baxter, A. L., Bazyk, M., Beattie, K., Behrens, J., Bell, N. F., Bellagamba, L., Beltrame, P., Benabderrahmane, M., Bernard, E. P., Bertone, G. F., Bhattacharjee, P., Bhatti, A., Biekert, A., Biesiadzinski, T. P., Binau, A. R., Biondi, R., Biondi, Y., Birch, H. J., Bishara, F., Bismark, A., Blanco, C., Blockinger, G. M., Bodnia, E., Boehm, C., Bolozdynya, A. I., Bolton, P. D., Bottaro, S., Bourgeois, C., Boxer, B., Brás, P., Breskin, A., Breur, P. A., Brew, C. A. J., Brod, J., Brookes, E., Brown, A., Brown, E., Bruenner, S., Bruno, G., Budnik, R., Bui, T. K., Burdin, S., Buse, S., Busenitz, J. K., Buttazzo, D., Buuck, M., Buzulutskov, A., Cabrita, R., Cai, C., Cai, D., Capelli, C., Cardoso, J. M. R., Carmona-Benitez, M. C., Cascella, M., Catena, R., Chakraborty, S., Chan, C., Chang, S., Chauvin, A., Chawla, A., Chen, H., Chepel, V., Chott, N. I., Cichon, D., Chavez, A. Cimental, Cimmino, B., Clark, M., Co, R. T., Colijn, A. P., Conrad, J., Converse, M. V., Costa, M., Cottle, A., Cox, G., Creaner, O., Garcia, J. J. Cuenca, Cussonneau, J. P., Cutter, J. E., Dahl, C. E., D'Andrea, V., David, A., Decowski, M. P., Dent, J. B., Deppisch, F. F., de Viveiros, L., Di Gangi, P., Di Giovanni, A., Di Pede, S., Dierle, J., Diglio, S., Dobson, J. E. Y., Doerenkamp, M., Douillet, D., Drexlin, G., Druszkiewicz, E., Dunsky, D., Eitel, K., Elykov, A., Emken, T., Engel, R., Eriksen, S. R., Fairbairn, M., Fan, A., Fan, J. J., Farrell, S. J., Fayer, S., Fearon, N. M., Ferella, A., Ferrari, C., Fieguth, A., Fiorucci, S., Fischer, H., Flaecher, H., Flierman, M., Florek, T., Foot, R., Fox, P. J., Franceschini, R., Fraser, E. D., Frenk, C. S., Frohlich, S., Fruth, T., Fulgione, W., Fuselli, C., Gaemers, P., Gaior, R., Gaitskell, R. J., Galloway, M., Gao, F., Garcia, I. Garcia, Genovesi, J., Ghag, C., Ghosh, S., Gibson, E., Gil, W., Giovagnoli, D., Girard, F., Glade-Beucke, R., Glück, F., Gokhale, S., de Gouvêa, A., Gráf, L., Grandi, L., Grigat, J., Grinstein, B., van der Grinten, M. G. D., Grössle, R., Guan, H., Guida, M., Gumbsheimer, R., Gwilliam, C. B., Hall, C. R., Hall, L. J., Hammann, R., Han, K., Hannen, V., Hansmann-Menzemer, S., Harata, R., Hardin, S. P., Hardy, E., Hardy, C. A., Harigaya, K., Harnik, R., Haselschwardt, S. J., Hernandez, M., Hertel, S. A., Higuera, A., Hils, C., Hochrein, S., Hoetzsch, L., Hoferichter, M., Hood, N., Hooper, D., Horn, M., Howlett, J., Huang, D. Q., Huang, Y., Hunt, D., Iacovacci, M., Iaquaniello, G., Ide, R., Ignarra, C. M., Iloglu, G., Itow, Y., Jacquet, E., Jahangir, O., Jakob, J., James, R. S., Jansen, A., Ji, W., Ji, X., Joerg, F., Johnson, J., Joy, A., Kaboth, A. C., Kamaha, A. C., Kanezaki, K., Kar, K., Kara, M., Kato, N., Kavrigin, P., Kazama, S., Keaveney, A. W., Kellerer, J., Khaitan, D., Khazov, A., Khundzakishvili, G., Khurana, I., Kilminster, B., Kleifges, M., Ko, P., Kobayashi, M., Kodroff, D., Koltmann, G., Kopec, A., Kopmann, A., Kopp, J., Korley, L., Kornoukhov, V. N., Korolkova, E. V., Kraus, H., Krauss, L. M., Kravitz, S., Kreczko, L., Kudryavtsev, V. A., Kuger, F., Kumar, J., Paredes, B. López, LaCascio, L., Laine, Q., Landsman, H., Lang, R. F., Leason, E. A., Lee, J., Leonard, D. S., Lesko, K. T., Levinson, L., Levy, C., Li, I., Li, S. C., Li, T., Liang, S., Liebenthal, C. S., Lin, J., Lin, Q., Lindemann, S., Lindner, M., Lindote, A., Linehan, R., Lippincott, W. H., Liu, X., Liu, K., Liu, J., Loizeau, J., Lombardi, F., Long, J., Lopes, M. I., Asamar, E. Lopez, Lorenzon, W., Lu, C., Luitz, S., Ma, Y., Machado, P. A. N., Macolino, C., Maeda, T., Mahlstedt, J., Majewski, P. A., Manalaysay, A., Mancuso, A., Manenti, L., Manfredini, A., Mannino, R. L., Marangou, N., March-Russell, J., Marignetti, F., Undagoitia, T. Marrodán, Martens, K., Martin, R., Martinez-Soler, I., Masbou, J., Masson, D., Masson, E., Mastroianni, S., Mastronardi, M., Matias-Lopes, J. A., McCarthy, M. E., McFadden, N., McGinness, E., McKinsey, D. N., McLaughlin, J., McMichael, K., Meinhardt, P., Menéndez, J., Meng, Y., Messina, M., Midha, R., Milisavljevic, D., Miller, E. H., Milosevic, B., Milutinovic, S., Mitra, S. A., Miuchi, K., Mizrachi, E., Mizukoshi, K., Molinario, A., Monte, A., Monteiro, C. M. B., Monzani, M. E., Moore, J. S., Morå, K., Morad, J. A., Mendoza, J. D. Morales, Moriyama, S., Morrison, E., Morteau, E., Mosbacher, Y., Mount, B. J., Mueller, J., Murphy, A. St. J., Murra, M., Naim, D., Nakamura, S., Nash, E., Navaieelavasani, N., Naylor, A., Nedlik, C., Nelson, H. N., Neves, F., Newstead, J. L., Ni, K., Nikoleyczik, J. A., Niro, V., Oberlack, U. G., Obradovic, M., Odgers, K., O'Hare, C. A. J., Oikonomou, P., Olcina, I., Oliver-Mallory, K., Oranday, A., Orpwood, J., Ostrovskiy, I., Ozaki, K., Paetsch, B., Pal, S., Palacio, J., Palladino, K. J., Palmer, J., Panci, P., Pandurovic, M., Parlati, A., Parveen, N., Patton, S. J., Pěč, V., Pellegrini, Q., Penning, B., Pereira, G., Peres, R., Perez-Gonzalez, Y., Perry, E., Pershing, T., Petrossian-Byrne, R., Pienaar, J., Piepke, A., Pieramico, G., Pierre, M., Piotter, M., Pizella, V., Plante, G., Pollmann, T., Porzio, D., Qi, J., Qie, Y., Qin, J., Raj, N., Silva, M. Rajado, Ramanathan, K., García, D. Ramírez, Ravanis, J., Redard-Jacot, L., Redigolo, D., Reichard, S., Reichenbacher, J., Rhyne, C. A., Richards, A., Riffard, Q., Rischbieter, G. R. C., Rocchetti, A., Rosenfeld, S. L., Rosero, R., Rupp, N., Rushton, T., Saha, S., Sanchez, L., Sanchez-Lucas, P., Santone, D., Santos, J. M. F. dos, Sarnoff, I., Sartorelli, G., Sazzad, A. B. M. R., Scheibelhut, M., Schnee, R. W., Schrank, M., Schreiner, J., Schulte, P., Schulte, D., Eissing, H. Schulze, Schumann, M., Schwemberger, T., Schwenk, A., Schwetz, T., Lavina, L. Scotto, Scovell, P. R., Sekiya, H., Selvi, M., Semenov, E., Semeria, F., Shagin, P., Shaw, S., Shi, S., Shockley, E., Shutt, T. A., Si-Ahmed, R., Silk, J. J., Silva, C., Silva, M. C., Simgen, H., Šimkovic, F., Sinev, G., Singh, R., Skulski, W., Smirnov, J., Smith, R., Solmaz, M., Solovov, V. N., Sorensen, P., Soria, J., Sparmann, T. J., Stancu, I., Steidl, M., Stevens, A., Stifter, K., Strigari, L. E., Subotic, D., Suerfu, B., Suliga, A. M., Sumner, T. J., Szabo, P., Szydagis, M., Takeda, A., Takeuchi, Y., Tan, P. -L., Taricco, C., Taylor, W. C., Temples, D. J., Terliuk, A., Terman, P. A., Thers, D., Thieme, K., Thümmler, Th., Tiedt, D. R., Timalsina, M., To, W. H., Toennies, F., Tong, Z., Toschi, F., Tovey, D. R., Tranter, J., Trask, M., Trinchero, G. C., Tripathi, M., Tronstad, D. R., Trotta, R., Tsai, Y. D., Tunnell, C. D., Turner, W. G., Ueno, R., Urquijo, P., Utku, U., Vaitkus, A., Valerius, K., Vassilev, E., Vecchi, S., Velan, V., Vetter, S., Vincent, A. C., Vittorio, L., Volta, G., von Krosigk, B., von Piechowski, M., Vorkapic, D., Wagner, C. E. M., Wang, A. M., Wang, B., Wang, Y., Wang, W., Wang, J. J., Wang, L. -T., Wang, M., Watson, J. R., Wei, Y., Weinheimer, C., Weisman, E., Weiss, M., Wenz, D., West, S. M., Whitis, T. J., Williams, M., Wilson, M. J., Winkler, D., Wittweg, C., Wolf, J., Wolf, T., Wolfs, F. L. H., Woodford, S., Woodward, D., Wright, C. J., Wu, V. H. S., Wu, P., Wüstling, S., Wurm, M., Xia, Q., Xiang, X., Xing, Y., Xu, J., Xu, Z., Xu, D., Yamashita, M., Yamazaki, R., Yan, H., Yang, L., Yang, Y., Ye, J., Yeh, M., Young, I., Yu, H. B., Yu, T. T., Yuan, L., Zavattini, G., Zerbo, S., Zhang, Y., Zhong, M., Zhou, N., Zhou, X., Zhu, T., Zhu, Y., Zhuang, Y., Zopounidis, J. P., Zuber, K., and Zupan, J.

Subjects
Physics - Instrumentation and Detectors, Astrophysics - Cosmology and Nongalactic Astrophysics, High Energy Physics - Experiment, Nuclear Experiment
Abstract

The nature of dark matter and properties of neutrinos are among the most pressing issues in contemporary particle physics. The dual-phase xenon time-projection chamber is the leading technology to cover the available parameter space for Weakly Interacting Massive Particles (WIMPs), while featuring extensive sensitivity to many alternative dark matter candidates. These detectors can also study neutrinos through neutrinoless double-beta decay and through a variety of astrophysical sources. A next-generation xenon-based detector will therefore be a true multi-purpose observatory to significantly advance particle physics, nuclear physics, astrophysics, solar physics, and cosmology. This review article presents the science cases for such a detector., Comment: 77 pages, 40 figures, 1262 references

Published
2022
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31. Multi-filter photometry of Solar System Objects from the SkyMapper Southern Survey

Author

Sergeyev, A. V., Carry, B., Onken, C. A., Devillepoix, H. A. R., Wolf, C., and Chang, S. -W.

Subjects
Astrophysics - Earth and Planetary Astrophysics
Abstract

Context. The populations of small bodies of the Solar System (asteroids, comets, Kuiper Belt objects) are used to constrain the origin and evolution of the Solar System. Both their orbital distribution and composition distribution are required to track the dynamical pathway from their regions of formation to their current locations. Aims. We aim at increasing the sample of Solar System objects (SSOs) that have multi-filter photometry and compositional taxonomy. Methods. We search for moving objects in the SkyMapper Southern Survey. We use the predicted SSO positions to extract photometry and astrometry from the SkyMapper frames. We then apply a suite of filters to clean the catalog for false-positive detections. We finally use the near-simultaneous photometry to assign a taxonomic class to objects. Results. We release a catalog of 880,528 individual observations, consisting of 205,515 known and unique SSOs. The catalog completeness is estimated to be about 97% down to V=18 mag and the purity to be above 95% for known SSOs. The near-simultaneous photometry provides either three, two, or a single color that we use to classify 117,356 SSOs with a scheme consistent with the widely used Bus-DeMeo taxonomy. Conclusions. The present catalog contributes significantly to the sample of asteroids with known surface properties (about 40% of main-belt asteroids down to an absolute magnitude of 16). We will release more observations of SSOs with future SkyMapper data releases., Comment: 15 pages, 22 figures, 13 tables

Published
2021
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36. The fast non-ferric kicker system for the Muon $g-2$ Experiment at Fermilab

Author

Schreckenberger, A. P., Allspach, D., Barak, D., Bohn, J., Bradford, C., Cauz, D., Chang, S. P., Chapelain, A., Chappa, S., Charity, S., Chislett, R., Esquivel, J., Ferrari, C., Fioretti, A., Gabbanini, C., Galati, M. D., Gibbons, L., Holzbauer, J. L., Incagli, M., Jensen, C., Kaspar, J., Kawall, D., Keshavarzi, A., Kessler, D. S., Kiburg, B., Krafczyk, G., Madrak, R., Mikhailichenko, A. A., Nguyen, H., Overhage, K., Park, S., Pfeffer, H., Polly, C. C., Popovic, M., Rivera, R., Roberts, B. L., Rubin, D., Semertzidis, Y. K., Stapleton, J., Stoughton, C., Voirin, E., and Wolff, D.

Subjects
Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract

We describe the installation, commissioning, and characterization of the new injection kicker system in the Muon $g-2$ Experiment (E989) at Fermilab, which makes a precision measurement of the muon magnetic anomaly. Three Blumlein pulsers drive each of the 1.27-m-long non-ferric kicker magnets, which reside in a storage ring vacuum (SRV) that is subjected to a 1.45 T magnetic field. The new system has been redesigned relative to Muon $g-2$'s predecessor experiment, and we present those details in this manuscript.

Published
2021
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37. Measurement of the anomalous precession frequency of the muon in the Fermilab Muon g-2 experiment

Author

Albahri, T., Anastasi, A., Anisenkov, A., Badgley, K., Baeßler, S., Bailey, I., Baranov, V. A., Barlas-Yucel, E., Barrett, T., Basti, A., Bedeschi, F., Berz, M., Bhattacharya, M., Binney, H. P., Bloom, P., Bono, J., Bottalico, E., Bowcock, T., Cantatore, G., Carey, R. M., Casey, B. C. K., Cauz, D., Chakraborty, R., Chang, S. P., Chapelain, A., Charity, S., Chislett, R., Choi, J., Chu, Z., Chupp, T. E., Corrodi, S., Cotrozzi, L., Crnkovic, J. D., Dabagov, S., Debevec, P. T., Di Falco, S., Di Meo, P., Di Sciascio, G., Di Stefano, R., Driutti, A., Duginov, V. N., Eads, M., Esquivel, J., Farooq, M., Fatemi, R., Ferrari, C., Fertl, M., Fienberg, A. T., Fioretti, A., Flay, D., Frlež, E., Froemming, N. S., Fry, J., Gabbanini, C., Galati, M. D., Ganguly, S., Garcia, A., George, J., Gibbons, L. K., Gioiosa, A., Giovanetti, K. L., Girotti, P., Gohn, W., Gorringe, T., Grange, J., Grant, S., Gray, F., Haciomeroglu, S., Halewood-Leagas, T., Hampai, D., Han, F., Hempstead, J., Herrod, A. T., Hertzog, D. W., Hesketh, G., Hibbert, A., Hodge, Z., Holzbauer, J. L., Hong, K. W., Hong, R., Iacovacci, M., Incagli, M., Kammel, P., Kargiantoulakis, M., Karuza, M., Kaspar, J., Kawall, D., Kelton, L., Keshavarzi, A., Kessler, D., Khaw, K. S., Khechadoorian, Z., Khomutov, N. V., Kiburg, B., Kiburg, M., Kim, O., Kim, Y. I., King, B., Kinnaird, N., Kraegeloh, E., Kuchibhotla, A., Kuchinskiy, N. A., Labe, K. R., LaBounty, J., Lancaster, M., Lee, M. J., Lee, S., Leo, S., Li, B., Li, D., Li, L., Logashenko, I., Campos, A. Lorente, Lucà, A., Lukicov, G., Lusiani, A., Lyon, A. L., MacCoy, B., Madrak, R., Makino, K., Marignetti, F., Mastroianni, S., Miller, J. P., Miozzi, S., Morse, W. M., Mott, J., Nath, A., Nguyen, H., Osofsky, R., Park, S., Pauletta, G., Piacentino, G. M., Pilato, R. N., Pitts, K. T., Plaster, B., Počanić, D., Pohlman, N., Polly, C. C., Price, J., Quinn, B., Raha, N., Ramachandran, S., Ramberg, E., Ritchie, J. L., Roberts, B. L., Rubin, D. L., Santi, L., Schlesier, C., Schreckenberger, A., Semertzidis, Y. K., Shemyakin, D., Smith, M. W., Sorbara, M., Stöckinger, D., Stapleton, J., Stoughton, C., Stratakis, D., Stuttard, T., Swanson, H. E., Sweetmore, G., Sweigart, D. A., Syphers, M. J., Tarazona, D. A., Teubner, T., Tewsley-Booth, A. E., Thomson, K., Tishchenko, V., Tran, N. H., Turner, W., Valetov, E., Vasilkova, D., Venanzoni, G., Walton, T., Weisskopf, A., Welty-Rieger, L., Winter, P., Wolski, A., and Wu, W.

Subjects
High Energy Physics - Experiment, Nuclear Experiment
Abstract

The Muon g-2 Experiment at Fermi National Accelerator Laboratory (FNAL) has measured the muon anomalous precession frequency $\omega_a$ to an uncertainty of 434 parts per billion (ppb), statistical, and 56 ppb, systematic, with data collected in four storage ring configurations during its first physics run in 2018. When combined with a precision measurement of the magnetic field of the experiment's muon storage ring, the precession frequency measurement determines a muon magnetic anomaly of $a_{\mu}({\rm FNAL}) = 116\,592\,040(54) \times 10^{-11}$ (0.46 ppm). This article describes the multiple techniques employed in the reconstruction, analysis and fitting of the data to measure the precession frequency. It also presents the averaging of the results from the eleven separate determinations of \omega_a, and the systematic uncertainties on the result., Comment: 29 pages, 19 figures. Published in Physical Review D

Published
2021
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38. Magnetic Field Measurement and Analysis for the Muon g-2 Experiment at Fermilab

Author

Albahri, T., Anastasi, A., Badgley, K., Baeßler, S., Bailey, I., Baranov, V. A., Barlas-Yucel, E., Barrett, T., Bedeschi, F., Berz, M., Bhattacharya, M., Binney, H. P., Bloom, P., Bono, J., Bottalico, E., Bowcock, T., Cantatore, G., Carey, R. M., Casey, B. C. K., Cauz, D., Chakraborty, R., Chang, S. P., Chapelain, A., Charity, S., Chislett, R., Choi, J., Chu, Z., Chupp, T. E., Conway, A., Corrodi, S., Cotrozzi, L., Crnkovic, J. D., Dabagov, S., Debevec, P. T., Di Falco, S., Di Meo, P., Di Sciascio, G., Di Stefano, R., Driutti, A., Duginov, V. N., Eads, M., Esquivel, J., Farooq, M., Fatemi, R., Ferrari, C., Fertl, M., Fienberg, A. T., Fioretti, A., Flay, D., Froemming, N. S., Gabbanini, C., Galati, M. D., Ganguly, S., Garcia, A., George, J., Gibbons, L. K., Gioiosa, A., Giovanetti, K. L., Girotti, P., Gohn, W., Gorringe, T., Grange, J., Grant, S., Gray, F., Haciomeroglu, S., Halewood-Leagas, T., Hampai, D., Han, F., Hempstead, J., Herrod, A. T., Hertzog, D. W., Hesketh, G., Hibbert, A., Hodge, Z., Holzbauer, J. L., Hong, K. W., Hong, R., Iacovacci, M., Incagli, M., Kammel, P., Kargiantoulakis, M., Karuza, M., Kaspar, J., Kawall, D., Kelton, L., Keshavarzi, A., Kessler, D., Khaw, K. S., Khechadoorian, Z., Khomutov, N. V., Kiburg, B., Kiburg, M., Kim, O., Kim, Y. I., King, B., Kinnaird, N., Kraegeloh, E., Kuchinskiy, N. A., Labe, K. R., LaBounty, J., Lancaster, M., Lee, M. J., Lee, S., Li, B., Li, D., Li, L., Logashenko, I., Campos, A. Lorente, Lucà, A., Lukicov, G., Lusiani, A., Lyon, A. L., MacCoy, B., Madrak, R., Makino, K., Marignetti, F., Mastroianni, S., Miller, J. P., Miozzi, S., Morse, W. M., Mott, J., Nath, A., Nguyen, H., Osofsky, R., Park, S., Pauletta, G., Piacentino, G. M., Pilato, R. N., Pitts, K. T., Plaster, B., Počanić, D., Pohlman, N., Polly, C. C., Price, J., Quinn, B., Raha, N., Ramachandran, S., Ramberg, E., Ritchie, J. L., Roberts, B. L., Rubin, D. L., Santi, L., Schlesier, C., Schreckenberger, A., Semertzidis, Y. K., Shemyakin, D., Smith, M. W., Sorbara, M., Stöckinger, D., Stapleton, J., Stoughton, C., Stratakis, D., Stuttard, T., Swanson, H. E., Sweetmore, G., Sweigart, D. A., Syphers, M. J., Tarazona, D. A., Teubner, T., Tewsley-Booth, A. E., Thomson, K., Tishchenko, V., Tran, N. H., Turner, W., Valetov, E., Vasilkova, D., Venanzoni, G., Walton, T., Weisskopf, A., Welty-Rieger, L., Winter, P., Wolski, A., and Wu, W.

Subjects
High Energy Physics - Experiment, Nuclear Experiment
Abstract

The Fermi National Accelerator Laboratory has measured the anomalous precession frequency $a^{}_\mu = (g^{}_\mu-2)/2$ of the muon to a combined precision of 0.46 parts per million with data collected during its first physics run in 2018. This paper documents the measurement of the magnetic field in the muon storage ring. The magnetic field is monitored by nuclear magnetic resonance systems and calibrated in terms of the equivalent proton spin precession frequency in a spherical water sample at 34.7$^\circ$C. The measured field is weighted by the muon distribution resulting in $\tilde{\omega}'^{}_p$, the denominator in the ratio $\omega^{}_a$/$\tilde{\omega}'^{}_p$ that together with known fundamental constants yields $a^{}_\mu$. The reported uncertainty on $\tilde{\omega}'^{}_p$ for the Run-1 data set is 114 ppb consisting of uncertainty contributions from frequency extraction, calibration, mapping, tracking, and averaging of 56 ppb, and contributions from fast transient fields of 99 ppb., Comment: Added one citation and corrected missing normalization in Eqs (35) and (36)

Published
2021
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39. Measurement of the Positive Muon Anomalous Magnetic Moment to 0.46 ppm

Author

Abi, B., Albahri, T., Al-Kilani, S., Allspach, D., Alonzi, L. P., Anastasi, A., Anisenkov, A., Azfar, F., Badgley, K., Baeßler, S., Bailey, I., Baranov, V. A., Barlas-Yucel, E., Barrett, T., Barzi, E., Basti, A., Bedeschi, F., Behnke, A., Berz, M., Bhattacharya, M., Binney, H. P., Bjorkquist, R., Bloom, P., Bono, J., Bottalico, E., Bowcock, T., Boyden, D., Cantatore, G., Carey, R. M., Carroll, J., Casey, B. C. K., Cauz, D., Ceravolo, S., Chakraborty, R., Chang, S. P., Chapelain, A., Chappa, S., Charity, S., Chislett, R., Choi, J., Chu, Z., Chupp, T. E., Convery, M. E., Conway, A., Corradi, G., Corrodi, S., Cotrozzi, L., Crnkovic, J. D., Dabagov, S., De Lurgio, P. M., Debevec, P. T., Di Falco, S., Di Meo, P., Di Sciascio, G., Di Stefano, R., Drendel, B., Driutti, A., Duginov, V. N., Eads, M., Eggert, N., Epps, A., Esquivel, J., Farooq, M., Fatemi, R., Ferrari, C., Fertl, M., Fiedler, A., Fienberg, A. T., Fioretti, A., Flay, D., Foster, S. B., Friedsam, H., Frlež, E., Froemming, N. S., Fry, J., Fu, C., Gabbanini, C., Galati, M. D., Ganguly, S., Garcia, A., Gastler, D. E., George, J., Gibbons, L. K., Gioiosa, A., Giovanetti, K. L., Girotti, P., Gohn, W., Gorringe, T., Grange, J., Grant, S., Gray, F., Haciomeroglu, S., Hahn, D., Halewood-Leagas, T., Hampai, D., Han, F., Hazen, E., Hempstead, J., Henry, S., Herrod, A. T., Hertzog, D. W., Hesketh, G., Hibbert, A., Hodge, Z., Holzbauer, J. L., Hong, K. W., Hong, R., Iacovacci, M., Incagli, M., Johnstone, C., Johnstone, J. A., Kammel, P., Kargiantoulakis, M., Karuza, M., Kaspar, J., Kawall, D., Kelton, L., Keshavarzi, A., Kessler, D., Khaw, K. S., Khechadoorian, Z., Khomutov, N. V., Kiburg, B., Kiburg, M., Kim, O., Kim, S. C., Kim, Y. I., King, B., Kinnaird, N., Korostelev, M., Kourbanis, I., Kraegeloh, E., Krylov, V. A., Kuchibhotla, A., Kuchinskiy, N. A., Labe, K. R., LaBounty, J., Lancaster, M., Lee, M. J., Lee, S., Leo, S., Li, B., Li, D., Li, L., Logashenko, I., Campos, A. Lorente, Lucà, A., Lukicov, G., Luo, G., Lusiani, A., Lyon, A. L., MacCoy, B., Madrak, R., Makino, K., Marignetti, F., Mastroianni, S., Maxfield, S., McEvoy, M., Merritt, W., Mikhailichenko, A. A., Miller, J. P., Miozzi, S., Morgan, J. P., Morse, W. M., Mott, J., Motuk, E., Nath, A., Newton, D., Nguyen, H., Oberling, M., Osofsky, R., Ostiguy, J. -F., Park, S., Pauletta, G., Piacentino, G. M., Pilato, R. N., Pitts, K. T., Plaster, B., Počanić, D., Pohlman, N., Polly, C. C., Popovic, M., Price, J., Quinn, B., Raha, N., Ramachandran, S., Ramberg, E., Rider, N. T., Ritchie, J. L., Roberts, B. L., Rubin, D. L., Santi, L., Sathyan, D., Schellman, H., Schlesier, C., Schreckenberger, A., Semertzidis, Y. K., Shatunov, Y. M., Shemyakin, D., Shenk, M., Sim, D., Smith, M. W., Smith, A., Soha, A. K., Sorbara, M., Stöckinger, D., Stapleton, J., Still, D., Stoughton, C., Stratakis, D., Strohman, C., Stuttard, T., Swanson, H. E., Sweetmore, G., Sweigart, D. A., Syphers, M. J., Tarazona, D. A., Teubner, T., Tewsley-Booth, A. E., Thomson, K., Tishchenko, V., Tran, N. H., Turner, W., Valetov, E., Vasilkova, D., Venanzoni, G., Volnykh, V. P., Walton, T., Warren, M., Weisskopf, A., Welty-Rieger, L., Whitley, M., Winter, P., Wolski, A., Wormald, M., Wu, W., and Yoshikawa, C.

Subjects
High Energy Physics - Experiment, Nuclear Experiment
Abstract

We present the first results of the Fermilab Muon g-2 Experiment for the positive muon magnetic anomaly $a_\mu \equiv (g_\mu-2)/2$. The anomaly is determined from the precision measurements of two angular frequencies. Intensity variation of high-energy positrons from muon decays directly encodes the difference frequency $\omega_a$ between the spin-precession and cyclotron frequencies for polarized muons in a magnetic storage ring. The storage ring magnetic field is measured using nuclear magnetic resonance probes calibrated in terms of the equivalent proton spin precession frequency ${\tilde{\omega}'^{}_p}$ in a spherical water sample at 34.7$^{\circ}$C. The ratio $\omega_a / {\tilde{\omega}'^{}_p}$, together with known fundamental constants, determines $a_\mu({\rm FNAL}) = 116\,592\,040(54)\times 10^{-11}$ (0.46\,ppm). The result is 3.3 standard deviations greater than the standard model prediction and is in excellent agreement with the previous Brookhaven National Laboratory (BNL) E821 measurement. After combination with previous measurements of both $\mu^+$ and $\mu^-$, the new experimental average of $a_\mu({\rm Exp}) = 116\,592\,061(41)\times 10^{-11}$ (0.35\,ppm) increases the tension between experiment and theory to 4.2 standard deviations, Comment: 10 pages; 4 figures

Published
2021
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40. Beam dynamics corrections to the Run-1 measurement of the muon anomalous magnetic moment at Fermilab

Author

Albahri, T., Anastasi, A., Badgley, K., Baeßler, S., Bailey, I., Baranov, V. A., Barlas-Yucel, E., Barrett, T., Bedeschi, F., Berz, M., Bhattacharya, M., Binney, H. P., Bloom, P., Bono, J., Bottalico, E., Bowcock, T., Cantatore, G., Carey, R. M., Casey, B. C. K., Cauz, D., Chakraborty, R., Chang, S. P., Chapelain, A., Charity, S., Chislett, R., Choi, J., Chu, Z., Chupp, T. E., Corrodi, S., Cotrozzi, L., Crnkovic, J. D., Dabagov, S., Debevec, P. T., Di Falco, S., Di Meo, P., Di Sciascio, G., Di Stefano, R., Driutti, A., Duginov, V. N., Eads, M., Esquivel, J., Farooq, M., Fatemi, R., Ferrari, C., Fertl, M., Fiedler, A., Fienberg, A. T., Fioretti, A., Flay, D., Frlež, E., Froemming, N. S., Fry, J., Gabbanini, C., Galati, M. D., Ganguly, S., Garcia, A., George, J., Gibbons, L. K., Gioiosa, A., Giovanetti, K. L., Girotti, P., Gohn, W., Gorringe, T., Grange, J., Grant, S., Gray, F., Haciomeroglu, S., Halewood-Leagas, T., Hampai, D., Han, F., Hempstead, J., Herrod, A. T., Hertzog, D. W., Hesketh, G., Hibbert, A., Hodge, Z., Holzbauer, J. L., Hong, K. W., Hong, R., Iacovacci, M., Incagli, M., Kammel, P., Kargiantoulakis, M., Karuza, M., Kaspar, J., Kawall, D., Kelton, L., Keshavarzi, A., Kessler, D., Khaw, K. S., Khechadoorian, Z., Khomutov, N. V., Kiburg, B., Kiburg, M., Kim, O., Kim, Y. I., King, B., Kinnaird, N., Korostelev, M., Kraegeloh, E., Kuchinskiy, N. A., Labe, K. R., LaBounty, J., Lancaster, M., Lee, M. J., Lee, S., Li, B., Li, D., Li, L., Logashenko, I., Campos, A. Lorente, Lucà, A., Lukicov, G., Lusiani, A., Lyon, A. L., MacCoy, B., Madrak, R., Makino, K., Marignetti, F., Mastroianni, S., Miller, J. P., Miozzi, S., Morse, W. M., Mott, J., Nath, A., Newton, D., Nguyen, H., Osofsky, R., Park, S., Pauletta, G., Piacentino, G. M., Pilato, R. N., Pitts, K. T., Plaster, B., Počanić, D., Pohlman, N., Polly, C. C., Price, J., Quinn, B., Raha, N., Ramachandran, S., Ramberg, E., Ritchie, J. L., Roberts, B. L., Rubin, D. L., Santi, L., Sathyan, D., Schlesier, C., Schreckenberger, A., Semertzidis, Y. K., Smith, M. W., Sorbara, M., Stöckinger, D., Stapleton, J., Stoughton, C., Stratakis, D., Stuttard, T., Swanson, H. E., Sweetmore, G., Sweigart, D. A., Syphers, M. J., Tarazona, D. A., Teubner, T., Tewsley-Booth, A. E., Thomson, K., Tishchenko, V., Tran, N. H., Turner, W., Valetov, E., Vasilkova, D., Venanzoni, G., Walton, T., Weisskopf, A., Welty-Rieger, L., Winter, P., Wolski, A., and Wu, W.

Subjects
Physics - Accelerator Physics, High Energy Physics - Experiment
Abstract

This paper presents the beam dynamics systematic corrections and their uncertainties for the Run-1 data set of the Fermilab Muon g-2 Experiment. Two corrections to the measured muon precession frequency $\omega_a^m$ are associated with well-known effects owing to the use of electrostatic quadrupole (ESQ) vertical focusing in the storage ring. An average vertically oriented motional magnetic field is felt by relativistic muons passing transversely through the radial electric field components created by the ESQ system. The correction depends on the stored momentum distribution and the tunes of the ring, which has relatively weak vertical focusing. Vertical betatron motions imply that the muons do not orbit the ring in a plane exactly orthogonal to the vertical magnetic field direction. A correction is necessary to account for an average pitch angle associated with their trajectories. A third small correction is necessary because muons that escape the ring during the storage time are slightly biased in initial spin phase compared to the parent distribution. Finally, because two high-voltage resistors in the ESQ network had longer than designed RC time constants, the vertical and horizontal centroids and envelopes of the stored muon beam drifted slightly, but coherently, during each storage ring fill. This led to the discovery of an important phase-acceptance relationship that requires a correction. The sum of the corrections to $\omega_a^m$ is 0.50 $\pm$ 0.09 ppm; the uncertainty is small compared to the 0.43 ppm statistical precision of $\omega_a^m$., Comment: 35 pages, 29 figures. Accepted by Phys. Rev. Accel. Beams

Published
2021
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46. Neutron Star Extreme Matter Observatory: A kilohertz-band gravitational-wave detector in the global network

Author

Ackley, K., Adya, V. B., Agrawal, P., Altin, P., Ashton, G., Bailes, M., Baltinas, E., Barbuio, A., Beniwal, D., Blair, C., Blair, D., Bolingbroke, G. N., Bossilkov, V., Boublil, S. Shachar, Brown, D. D., Burridge, B. J., Bustillo, J. Calderon, Cameron, J., Cao, H. Tuong, Carlin, J. B., Chang, S., Charlton, P., Chatterjee, C., Chattopadhyay, D., Chen, X., Chi, J., Chow, J., Chu, Q., Ciobanu, A., Clarke, T., Clearwater, P., Cooke, J., Coward, D., Crisp, H., Dattatri, R. J., Deller, A. T., Dobie, D. A., Dunn, L., Easter, P. J., Eichholz, J., Evans, R., Flynn, C., Foran, G., Forsyth, P., Gai, Y., Galaudage, S., Galloway, D. K., Gendre, B., Goncharov, B., Goode, S., Gozzard, D., Grace, B., Graham, A. W., Heger, A., Vivanco, F. Hernandez, Hirai, R., Holland, N. A., Holmes, Z. J., Howard, E., Howell, E., Howitt, G., Hübner, M. T., Hurley, J., Ingram, C., Hamedan, V. Jaberian, Jenner, K., Ju, L., Kapasi, D. P., Kaur, T., Kijbunchoo, N., Kovalam, M., Choudhary, R. Kumar, Lasky, P. D., Lau, M. Y. M., Leung, J., Liu, J., Loh, K., Mailvagan, A., Mandel, I., McCann, J. J., McClelland, D. E., McKenzie, K., McManus, D., McRae, T., Melatos, A., Meyers, P., Middleton, H., Miles, M. T., Millhouse, M., Mong, Y. Lun, Mueller, B., Munch, J., Musiov, J., Muusse, S., Nathan, R. S., Naveh, Y., Neijssel, C., Neil, B., Ng, S. W. S., Oloworaran, V., Ottaway, D. J., Page, M., Pan, J., Pathak, M., Payne, E., Powell, J., Pritchard, J., Puckridge, E., Raidani, A., Rallabhandi, V., Reardon, D., Riley, J. A., Roberts, L., Romero-Shaw, I. M., Roocke, T. J., Rowell, G., Sahu, N., Sarin, N., Sarre, L., Sattari, H., Schiworski, M., Scott, S. M., Sengar, R., Shaddock, D., Shannon, R., SHI, J., Sibley, P., Slagmolen, B. J. J., Slaven-Blair, T., Smith, R. J. E., Spollard, J., Steed, L., Strang, L., Sun, H., Sunderland, A., Suvorova, S., Talbot, C., Thrane, E., Töyrä, D., Trahanas, P., Vajpeyi, A., van Heijningen, J. V., Vargas, A. F., Veitch, P. J., Vigna-Gomez, A., Wade, A., Walker, K., Wang, Z., Ward, R. L., Ward, K., Webb, S., Wen, L., Wette, K., Willcox, R., Winterflood, J., Wolf, C., Wu, B., Yap, M. Jet, You, Z., Yu, H., Zhang, J., Zhao, C., and Zhu, X.

Subjects
Astrophysics - High Energy Astrophysical Phenomena, Astrophysics - Instrumentation and Methods for Astrophysics, General Relativity and Quantum Cosmology
Abstract

Gravitational waves from coalescing neutron stars encode information about nuclear matter at extreme densities, inaccessible by laboratory experiments. The late inspiral is influenced by the presence of tides, which depend on the neutron star equation of state. Neutron star mergers are expected to often produce rapidly-rotating remnant neutron stars that emit gravitational waves. These will provide clues to the extremely hot post-merger environment. This signature of nuclear matter in gravitational waves contains most information in the 2-4 kHz frequency band, which is outside of the most sensitive band of current detectors. We present the design concept and science case for a neutron star extreme matter observatory (NEMO): a gravitational-wave interferometer optimized to study nuclear physics with merging neutron stars. The concept uses high circulating laser power, quantum squeezing and a detector topology specifically designed to achieve the high-frequency sensitivity necessary to probe nuclear matter using gravitational waves. Above one kHz, the proposed strain sensitivity is comparable to full third-generation detectors at a fraction of the cost. Such sensitivity changes expected event rates for detection of post-merger remnants from approximately one per few decades with two A+ detectors to a few per year, and potentially allows for the first gravitational-wave observations of supernovae, isolated neutron stars, and other exotica., Comment: Accepted for publication in PASA

Published
2020
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48. Identification of Damages in Two-Dimensional Beam, Based on the Solution of Inverse Problem for One-Dimensional Equation

Author

Yakovlev, V. E., Cherpakov, A. V., Chang, S.-H., Wang, J.-P., Ghosh, Arindam, Series Editor, Chua, Daniel, Series Editor, de Souza, Flavio Leandro, Series Editor, Aktas, Oral Cenk, Series Editor, Han, Yafang, Series Editor, Gong, Jianghong, Series Editor, Jawaid, Mohammad, Series Editor, Parinov, Ivan A., editor, Chang, Shun-Hsyung, editor, and Soloviev, Arkady N., editor

Published
2023
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49. Predicting cancer drug TARGETS - TreAtment Response Generalized Elastic-neT Signatures

Author

Rydzewski, Nicholas R, Peterson, Erik, Lang, Joshua M, Yu, Menggang, Laura Chang, S, Sjöström, Martin, Bakhtiar, Hamza, Song, Gefei, Helzer, Kyle T, Bootsma, Matthew L, Chen, William S, Shrestha, Raunak M, Zhang, Meng, Quigley, David A, Aggarwal, Rahul, Small, Eric J, Wahl, Daniel R, Feng, Felix Y, and Zhao, Shuang G

Subjects
Biotechnology, Genetic Testing, Genetics, Human Genome, Prostate Cancer, Urologic Diseases, Cancer, 5.1 Pharmaceuticals, Development of treatments and therapeutic interventions, 4.1 Discovery and preclinical testing of markers and technologies, Detection, screening and diagnosis, Good Health and Well Being
Abstract

We are now in an era of molecular medicine, where specific DNA alterations can be used to identify patients who will respond to specific drugs. However, there are only a handful of clinically used predictive biomarkers in oncology. Herein, we describe an approach utilizing in vitro DNA and RNA sequencing and drug response data to create TreAtment Response Generalized Elastic-neT Signatures (TARGETS). We trained TARGETS drug response models using Elastic-Net regression in the publicly available Genomics of Drug Sensitivity in Cancer (GDSC) database. Models were then validated on additional in-vitro data from the Cancer Cell Line Encyclopedia (CCLE), and on clinical samples from The Cancer Genome Atlas (TCGA) and Stand Up to Cancer/Prostate Cancer Foundation West Coast Prostate Cancer Dream Team (WCDT). First, we demonstrated that all TARGETS models successfully predicted treatment response in the separate in-vitro CCLE treatment response dataset. Next, we evaluated all FDA-approved biomarker-based cancer drug indications in TCGA and demonstrated that TARGETS predictions were concordant with established clinical indications. Finally, we performed independent clinical validation in the WCDT and found that the TARGETS AR signaling inhibitors (ARSI) signature successfully predicted clinical treatment response in metastatic castration-resistant prostate cancer with a statistically significant interaction between the TARGETS score and PSA response (p = 0.0252). TARGETS represents a pan-cancer, platform-independent approach to predict response to oncologic therapies and could be used as a tool to better select patients for existing therapies as well as identify new indications for testing in prospective clinical trials.

Published
2021

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