Milky Way Satellite Census — I. The Observational Selection Function for Milky Way Satellites in DES Y3 and Pan-STARRS DR1. (arXiv:1912.03302v1 [astro-ph.GA])

Milky Way Satellite Census — I. The Observational Selection Function for Milky Way Satellites in DES Y3 and Pan-STARRS DR1. (arXiv:1912.03302v1 [astro-ph.GA])
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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 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.
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.

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 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.
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.

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