Accuracy Requirements for Empirically-Measured Selection Functions. (arXiv:1904.10879v1 [astro-ph.IM])
<a href="http://arxiv.org/find/astro-ph/1/au:+Farr_W/0/1/0/all/0/1">Will M. Farr</a>
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.
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.
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