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Accuracy Requirements for Empirically-Measured Selection Functions
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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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Forward citations
Cited by 4 Pith papers
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