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arXiv · 1904.10879

Accuracy Requirements for Empirically-Measured Selection Functions

Will M. Farr
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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.

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Will M. Farr. 2019-04-24. Accuracy Requirements for Empirically-Measured Selection Functions. https://doi.org/10.3847/2515-5172%2Fab1d5f

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