publication . Preprint . Article . 2019

Milky Way Satellite Census - I. The Observational Selection Function for Milky Way Satellites in DES Y3 and Pan-STARRS DR1

Drlica-Wagner, A.; Bechtol, K.; Mau, S.; McNanna, M.; Nadler, E.O.; Pace, A.B.; Li, T.S.; Pieres, A.; ROZO, E.; Simon, J.D.; ...
Open Access English
  • Published: 17 Dec 2019
  • Publisher: HAL CCSD
Abstract
Comment: 34 pages, 11 figures, 6 tables; updated to match published version. Selection functions available at: https://github.com/des-science/mw-sats
Subjects
arXiv: Astrophysics::Cosmology and Extragalactic AstrophysicsAstrophysics::Galaxy Astrophysics
free text keywords: [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Astrophysics - Astrophysics of Galaxies, Astrophysics - Cosmology and Nongalactic Astrophysics, Dwarf spheroidal galaxies; Local Group; Dark matter; Milky Way Galaxy
Funded by
NSF| Collaborative Research: The Dark Energy Survey Data Management Operations
Project
  • Funder: National Science Foundation (NSF)
  • Project Code: 1138766
  • Funding stream: Directorate for Mathematical & Physical Sciences | Division of Astronomical Sciences
,
EC| COSMICDAWN
Project
COSMICDAWN
Understanding the Origin of Cosmic Structure
  • Funder: European Commission (EC)
  • Project Code: 306478
  • Funding stream: FP7 | SP2 | ERC
,
EC| COGS
Project
COGS
Capitalizing on Gravitational Shear
  • Funder: European Commission (EC)
  • Project Code: 240672
  • Funding stream: FP7 | SP2 | ERC
,
NSF| Kavli Institute for Theoretical Physics
Project
  • Funder: National Science Foundation (NSF)
  • Project Code: 1748958
  • Funding stream: Directorate for Mathematical & Physical Sciences | Division of Physics
,
EC| TESTDE
Project
TESTDE
Testing the Dark Energy Paradigm and Measuring Neutrino Mass with the Dark Energy Survey
  • Funder: European Commission (EC)
  • Project Code: 291329
  • Funding stream: FP7 | SP2 | ERC

Abell, G. O. 1958, ApJS, 3, 211

Ackermann, M., Albert, A., Anderson, B., et al. 2015, PhRvL, 115, 231301 Agertz, O., Pontzen, A., Read, J. I., et al. 2020, MNRAS, 491, 1656 Aihara, H., Armstrong, R., Bickerton, S., et al. 2018, PASJ, 70, S8 Balbinot, E., Yanny, B., Li, T. S., et al. 2016, ApJ, 820, 58 Barlow, R. 1990, NIMPA, 297, 496

Bechtol, K., Drlica-Wagner, A., Balbinot, E., et al. 2015, ApJ, 807, 50 Belokurov, V., Irwin, M. J., Koposov, S. E., et al. 2014, MNRAS, 441, 2124 Belokurov, V., Walker, M. G., Evans, N. W., et al. 2008, ApJL, 686, L83 Belokurov, V., Walker, M. G., Evans, N. W., et al. 2009, MNRAS, 397, 1748 Belokurov, V., Walker, M. G., Evans, N. W., et al. 2010, ApJL, 712, L103 Belokurov, V., Zucker, D. B., Evans, N. W., et al. 2006, ApJL, 647, L111 Belokurov, V., Zucker, D. B., Evans, N. W., et al. 2007, ApJ, 654, 897 Bergström, L., Ullio, P., & Buckley, J. H. 1998, APh, 9, 137 Bertin, E., & Arnouts, S. 1996, A&AS, 117, 393

Bica, E., Bonatto, C., Dutra, C. M., & Santos, J. F. C. 2008, MNRAS, 389, 678 Bose, S., Deason, A. J., Belokurov, V., & Frenk, C. S. 2019, arXiv:1909.04039 Bose, S., Deason, A. J., & Frenk, C. S. 2018, ApJ, 863, 123 Boylan-Kolchin, M., Weisz, D. R., Johnson, B. D., et al. 2015, MNRAS, 453, 1503

Bressan, A., Marigo, P., Girardi, L., et al. 2012, MNRAS, 427, 127 Brown, T. M., Tumlinson, J., Geha, M., et al. 2014, ApJ, 796, 91 Bullock, J. S., & Boylan-Kolchin, M. 2017, ARA&A, 55, 343 Bullock, J. S., Kravtsov, A. V., & Weinberg, D. H. 2000, ApJ, 539, 517 Burke, D. L., Rykoff, E. S., Allam, S., et al. 2018, AJ, 155, 41 Cannon, R. D., Hawarden, T. G., & Tritton, S. B. 1977, MNRAS, 180, 81P Carlin, J. L., Sand, D. J., Muñoz, R. R., et al. 2017, AJ, 154, 267 Carlin, J. L., Sand, D. J., Price, P., et al. 2016, ApJL, 828, L5 Carrasco Kind, M., Drlica-Wagner, A., Koziol, A., & Petravick, D. 2018, JOSS, 4, 1022

Chabrier, G. 2001, ApJ, 554, 1274

Chambers, K. C., Magnier, E. A., Metcalfe, N., et al. 2016, arXiv:1612.05560 Chen, T., & Guestrin, C. 2016, in Proc. 22nd ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, KDD '16 (New York, NY: ACM), 785

Chernoff, H. 1954, Ann. Math. Statist., 25, 573

Clesse, S., & García-Bellido, J. 2018, PDU, 22, 137 Conn, B. C., Jerjen, H., Kim, D., & Schirmer, M. 2018, ApJ, 852, 68 Corwin, H. G. 2004, yCat, 7239, 0

Crnojević, D., Sand, D. J., Bennet, P., et al. 2019, ApJ, 872, 80 DES Collaboration, Abbott, T. M. C., Abdalla, F. B., et al. 2018, ApJS, 239, 18 Dey, A., Schlegel, D. J., Lang, D., et al. 2019, AJ, 157, 168 Diehl, H. T., Neilsen, E., Gruendl, R., et al. 2016, Proc. SPIE, 9910, 99101D Drlica-Wagner, A., Bechtol, K., Allam, S., et al. 2016, ApJL, 833, L5 Drlica-Wagner, A., Bechtol, K., Rykoff, E. S., et al. 2015, ApJ, 813, 109 Drlica-Wagner, A., Sevilla-Noarbe, I., Rykoff, E. S., et al. 2018, ApJS, 235, 33 Fadely, R., Hogg, D. W., & Willman, B. 2012, ApJ, 760, 15 Fitzpatrick, E. L. 1999, PASP, 111, 63

Flaugher, B., Diehl, H. T., Honscheid, K., et al. 2015, AJ, 150, 150 Flewelling, H. A., Magnier, E. A., Chambers, K. C., et al. 2016, arXiv:1612. 05243

Abstract
Comment: 34 pages, 11 figures, 6 tables; updated to match published version. Selection functions available at: https://github.com/des-science/mw-sats
Subjects
arXiv: Astrophysics::Cosmology and Extragalactic AstrophysicsAstrophysics::Galaxy Astrophysics
free text keywords: [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Astrophysics - Astrophysics of Galaxies, Astrophysics - Cosmology and Nongalactic Astrophysics, Dwarf spheroidal galaxies; Local Group; Dark matter; Milky Way Galaxy
Funded by
NSF| Collaborative Research: The Dark Energy Survey Data Management Operations
Project
  • Funder: National Science Foundation (NSF)
  • Project Code: 1138766
  • Funding stream: Directorate for Mathematical & Physical Sciences | Division of Astronomical Sciences
,
EC| COSMICDAWN
Project
COSMICDAWN
Understanding the Origin of Cosmic Structure
  • Funder: European Commission (EC)
  • Project Code: 306478
  • Funding stream: FP7 | SP2 | ERC
,
EC| COGS
Project
COGS
Capitalizing on Gravitational Shear
  • Funder: European Commission (EC)
  • Project Code: 240672
  • Funding stream: FP7 | SP2 | ERC
,
NSF| Kavli Institute for Theoretical Physics
Project
  • Funder: National Science Foundation (NSF)
  • Project Code: 1748958
  • Funding stream: Directorate for Mathematical & Physical Sciences | Division of Physics
,
EC| TESTDE
Project
TESTDE
Testing the Dark Energy Paradigm and Measuring Neutrino Mass with the Dark Energy Survey
  • Funder: European Commission (EC)
  • Project Code: 291329
  • Funding stream: FP7 | SP2 | ERC

Abell, G. O. 1958, ApJS, 3, 211

Ackermann, M., Albert, A., Anderson, B., et al. 2015, PhRvL, 115, 231301 Agertz, O., Pontzen, A., Read, J. I., et al. 2020, MNRAS, 491, 1656 Aihara, H., Armstrong, R., Bickerton, S., et al. 2018, PASJ, 70, S8 Balbinot, E., Yanny, B., Li, T. S., et al. 2016, ApJ, 820, 58 Barlow, R. 1990, NIMPA, 297, 496

Bechtol, K., Drlica-Wagner, A., Balbinot, E., et al. 2015, ApJ, 807, 50 Belokurov, V., Irwin, M. J., Koposov, S. E., et al. 2014, MNRAS, 441, 2124 Belokurov, V., Walker, M. G., Evans, N. W., et al. 2008, ApJL, 686, L83 Belokurov, V., Walker, M. G., Evans, N. W., et al. 2009, MNRAS, 397, 1748 Belokurov, V., Walker, M. G., Evans, N. W., et al. 2010, ApJL, 712, L103 Belokurov, V., Zucker, D. B., Evans, N. W., et al. 2006, ApJL, 647, L111 Belokurov, V., Zucker, D. B., Evans, N. W., et al. 2007, ApJ, 654, 897 Bergström, L., Ullio, P., & Buckley, J. H. 1998, APh, 9, 137 Bertin, E., & Arnouts, S. 1996, A&AS, 117, 393

Bica, E., Bonatto, C., Dutra, C. M., & Santos, J. F. C. 2008, MNRAS, 389, 678 Bose, S., Deason, A. J., Belokurov, V., & Frenk, C. S. 2019, arXiv:1909.04039 Bose, S., Deason, A. J., & Frenk, C. S. 2018, ApJ, 863, 123 Boylan-Kolchin, M., Weisz, D. R., Johnson, B. D., et al. 2015, MNRAS, 453, 1503

Bressan, A., Marigo, P., Girardi, L., et al. 2012, MNRAS, 427, 127 Brown, T. M., Tumlinson, J., Geha, M., et al. 2014, ApJ, 796, 91 Bullock, J. S., & Boylan-Kolchin, M. 2017, ARA&A, 55, 343 Bullock, J. S., Kravtsov, A. V., & Weinberg, D. H. 2000, ApJ, 539, 517 Burke, D. L., Rykoff, E. S., Allam, S., et al. 2018, AJ, 155, 41 Cannon, R. D., Hawarden, T. G., & Tritton, S. B. 1977, MNRAS, 180, 81P Carlin, J. L., Sand, D. J., Muñoz, R. R., et al. 2017, AJ, 154, 267 Carlin, J. L., Sand, D. J., Price, P., et al. 2016, ApJL, 828, L5 Carrasco Kind, M., Drlica-Wagner, A., Koziol, A., & Petravick, D. 2018, JOSS, 4, 1022

Chabrier, G. 2001, ApJ, 554, 1274

Chambers, K. C., Magnier, E. A., Metcalfe, N., et al. 2016, arXiv:1612.05560 Chen, T., & Guestrin, C. 2016, in Proc. 22nd ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, KDD '16 (New York, NY: ACM), 785

Chernoff, H. 1954, Ann. Math. Statist., 25, 573

Clesse, S., & García-Bellido, J. 2018, PDU, 22, 137 Conn, B. C., Jerjen, H., Kim, D., & Schirmer, M. 2018, ApJ, 852, 68 Corwin, H. G. 2004, yCat, 7239, 0

Crnojević, D., Sand, D. J., Bennet, P., et al. 2019, ApJ, 872, 80 DES Collaboration, Abbott, T. M. C., Abdalla, F. B., et al. 2018, ApJS, 239, 18 Dey, A., Schlegel, D. J., Lang, D., et al. 2019, AJ, 157, 168 Diehl, H. T., Neilsen, E., Gruendl, R., et al. 2016, Proc. SPIE, 9910, 99101D Drlica-Wagner, A., Bechtol, K., Allam, S., et al. 2016, ApJL, 833, L5 Drlica-Wagner, A., Bechtol, K., Rykoff, E. S., et al. 2015, ApJ, 813, 109 Drlica-Wagner, A., Sevilla-Noarbe, I., Rykoff, E. S., et al. 2018, ApJS, 235, 33 Fadely, R., Hogg, D. W., & Willman, B. 2012, ApJ, 760, 15 Fitzpatrick, E. L. 1999, PASP, 111, 63

Flaugher, B., Diehl, H. T., Honscheid, K., et al. 2015, AJ, 150, 150 Flewelling, H. A., Magnier, E. A., Chambers, K. C., et al. 2016, arXiv:1612. 05243

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