Milky Way satellite census. I. DES & PS1

DOI

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 ~25000deg^2^ of the high-Galactic-latitude sky reaching a 10{sigma} point-source depth of >~22.5mag 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, 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.

Cone search capability for table J/ApJ/893/47/table2 (Confirmed and candidate Milky Way satellites)

Identifier
DOI http://doi.org/10.26093/cds/vizier.18930047
Source https://dc.g-vo.org/rr/q/lp/custom/CDS.VizieR/J/ApJ/893/47
Related Identifier https://cdsarc.cds.unistra.fr/viz-bin/cat/J/ApJ/893/47
Related Identifier http://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/ApJ/893/47
Metadata Access http://dc.g-vo.org/rr/q/pmh/pubreg.xml?verb=GetRecord&metadataPrefix=oai_b2find&identifier=ivo://CDS.VizieR/J/ApJ/893/47
Provenance
Creator 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.; Walker A.R.; Wechsler R.H.,Abbott T.M.C.; Allam S.; Annis J.; Bertin E.; Brooks D.; Burke D.L.,Carnero Rosell A.; Carrasco Kind M.; Carretero J.; Costanzi M.,Da Costa L.N.; De Vicente J.; Desai S.; Diehl H.T.; Doel P.; Eifler T.F.,Everett S.; Flaugher B.; Frieman J.; Garcia-Bellido J.; Gaztanaga E.,Gruen D.; Gruendl R.A.; Gschwend J.; Gutierrez G.; Honscheid K.,James D.J.; Krause E.; Kuehn K.; Kuropatkin N.; Lahav O.; Maia M.A.G.,Marshall J.L.; Melchior P.; Menanteau F.; Miquel R.; Palmese A.,Plazas A.A.; Sanchez E.; Scarpine V.; Schubnell M.; Serrano S.,Sevilla-Noarbe I.; Smith M.; Suchyta E.; Tarle G.; (the DES Collaboration)
Publisher CDS
Publication Year 2021
Rights https://cds.unistra.fr/vizier-org/licences_vizier.html
OpenAccess true
Contact CDS support team <cds-question(at)unistra.fr>
Representation
Resource Type Dataset; AstroObjects
Discipline Astrophysics and Astronomy; Galactic and extragalactic Astronomy; Natural Sciences; Observational Astronomy; Physics