Drlica-Wagner, A and Bechtol, K and Desai, Shantanu and et al, .
(2019)
Milky Way Satellite Census – I. The Observational Selection Function for Milky Way Satellites in DES Y3 and
Pan-STARRS DR1.
arXiv.org.
Full text not available from this repository.
(
Request a copy)
Abstract
We report the results of a systematic search for ultra-faint Milky Way satellite galaxies using data
from the Dark Energy Survey and Pan-STARRS1. Our search covers ∼ 25,000 deg2
of the highGalactic-latitude sky reaching a 10σ point-source depth of & 22.5 mag in the g and r bands. We
do not detect any new high-significance satellite galaxy candidates, and 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.
Actions (login required)
 |
View Item |
Altmetric
Altmetric