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

Journal Article · · Astrophys.J.
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  1. Fermilab; Chicago U., KICP; Chicago U., Astron. Astrophys. Ctr.
  2. Wisconsin U., Madison; LSST Corp.
  3. Chicago U., KICP; Chicago U., Astron. Astrophys. Ctr.
  4. Wisconsin U., Madison
  5. Stanford U., Phys. Dept.; KIPAC, Menlo Park
  6. Carnegie Mellon U.; Texas A-M
  7. Carnegie Inst. Observ.; Princeton U., Astrophys. Sci. Dept.; Fermilab; Chicago U., KICP
  8. LIneA, Rio de Janeiro; Rio de Janeiro Observ.
  9. Arizona U.
  10. Carnegie Inst. Observ.
  11. Cerro-Tololo InterAmerican Obs.
  12. Stanford U., Phys. Dept.; KIPAC, Menlo Park; SLAC
  13. Fermilab
  14. Paris, Inst. Astrophys.
  15. University Coll. London
  16. SLAC; KIPAC, Menlo Park
  17. Madrid, CIEMAT; LIneA, Rio de Janeiro
  18. NCSA, Urbana; Illinois U., Urbana, Astron. Dept.
  19. Barcelona, IFAE
  20. Trieste Observ.; Trieste U.
  21. Madrid, CIEMAT
  22. Indian Inst. Tech., Hyderabad
  23. Arizona U., Astron. Dept. - Steward Observ.; Caltech, JPL
  24. UC, Santa Cruz, Inst. Part. Phys.
  25. Fermilab; Chicago U., KICP
  26. Madrid, IFT
  27. ICE, Bellaterra; Barcelona, IEEC
  28. SLAC; KIPAC, Menlo Park; Stanford U., Phys. Dept.
  29. Ohio State U., CCAPP; Ohio State U.
  30. Harvard-Smithsonian Ctr. Astrophys.
  31. Arizona U., Astron. Dept. - Steward Observ.
  32. Lowell Observ.; Macquarie U.
  33. Texas A-M
  34. Princeton U., Astrophys. Sci. Dept.
  35. Illinois U., Urbana, Astron. Dept.; NCSA, Urbana
  36. ICREA, Barcelona; Barcelona, IFAE
  37. Michigan U.
  38. Southampton U.
  39. Oak Ridge
+ Show Author Affiliations
We report the results of a systematic search for ultra-faint Milky Way satellite galaxies using data from the Dark Energy Survey (DES) and Pan-STARRS1 (PS1). Together, DES and PS1 provide multi-band photometry in optical/near-infrared wavelengths over ~80% of the sky. Our search for satellite galaxies targets ~25,000 deg$^2$ of the high-Galactic-latitude sky reaching a 10$$\sigma$$ point-source depth of $$\gtrsim$$ 22.5 mag in the $$g$$ and $$r$$ bands. While satellite galaxy searches have been performed independently on DES and PS1 before, this is the first time that a self-consistent search is performed across both data sets. We do not detect any new high-significance satellite galaxy candidates, while recovering the majority of satellites previously detected in surveys of comparable depth. We characterize the sensitivity of our search using a large set of simulated satellites injected into the survey data. We use these simulations to derive both analytic and machine-learning models that accurately predict the detectability of Milky Way satellites as a function of their distance, size, luminosity, and location on the sky. To demonstrate the utility of this observational selection function, we calculate the luminosity function of Milky Way satellite galaxies, assuming that the known population of satellite galaxies is representative of the underlying distribution. We provide access to our observational selection function to facilitate comparisons with cosmological models of galaxy formation and evolution.
Research Organization:
Arizona U.; Arizona U., Astron. Dept. - Steward Observ.; Barcelona, IEEC; Barcelona, IFAE; Caltech, JPL; Carnegie Inst. Observ.; Carnegie Mellon U.; Cerro-Tololo InterAmerican Obs.; Chicago U., Astron. Astrophys. Ctr.; Chicago U., KICP; Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States); Harvard-Smithsonian Ctr. Astrophys.; ICE, Bellaterra; ICREA, Barcelona; Illinois U., Urbana, Astron. Dept.; Indian Inst. Tech., Hyderabad; LIneA, Rio de Janeiro; LSST Corp.; Lowell Observ.; Macquarie U.; Madrid, CIEMAT; Madrid, IFT; Michigan U.; NCSA, Urbana; Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Ohio State U.; Ohio State U., CCAPP; Paris, Inst. Astrophys.; Princeton U., Astrophys. Sci. Dept.; Rio de Janeiro Observ.; SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States); Southampton U.; Stanford U., Phys. Dept.; Texas A-M; Trieste Observ.; Trieste U.; UC, Santa Cruz, Inst. Part. Phys.; Univ. of Michigan, Ann Arbor, MI (United States); University Coll. London; Wisconsin U., Madison
Sponsoring Organization:
National Science Foundation (NSF); US Department of Energy; USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR); USDOE Office of Science (SC), High Energy Physics (HEP)
Contributing Organization:
DES Collaboration
Grant/Contract Number:
AC02-07CH11359; AC02-76SF00515; AC05-00OR22725; SC0019193
OSTI ID:
1597069
Alternate ID(s):
OSTI ID: 1638221
OSTI ID: 1661219
OSTI ID: 1685032
Report Number(s):
DES--2019-0468; FERMILAB-PUB--19-604-AE; FERMILAB-PUB-19-604-AE; oai:inspirehep.net:1768974; arXiv:1912.03302
Journal Information:
Astrophys.J., Journal Name: Astrophys.J. Vol. 893
Country of Publication:
United States
Language:
English

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