seestar: Selection functions for spectroscopic surveys of the Milky Way

Everall, Andrew; Das, Payel

United Kingdom

Abstract

Selection functions are vital for understanding the observational biases of spectroscopic surveys. With the wide variety of multiobject spectrographs currently in operation and becoming available soon, we require easily generalizable methods for determining the selection functions of these surveys. Previous work, however, has largely been focused on generating individual, tailored selection functions for every data release of each survey. Moreover, no methods for combining these selection functions to be used for joint catalogues have been developed.

2020 Monthly Notices of the Royal Astronomical Society
Gaia 11