Accuracy Requirements for Empirically-Measured Selection Functions
Instrumentation and Methods for Astrophysics
2019-05-06 v1
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.
Cite
@article{arxiv.1904.10879,
title = {Accuracy Requirements for Empirically-Measured Selection Functions},
author = {Will M. Farr},
journal= {arXiv preprint arXiv:1904.10879},
year = {2019}
}
Comments
4 pages