Accuracy Requirements for Empirically-Measured Selection Functions
arXiv:1904.10879 · doi:10.3847/2515-5172/ab1d5f
Abstract
I give formulas for the accuracy to which a selection function must be measured via Monte-Carlo injections in order to have un-biased population inference. The number of found injections scales linearly with the number of objects in the population; the coefficient in front of the linear term depends on both the distribution of injections and the inferred population distribution.
4 pages