Stat(1)
Criteria for projected discovery and exclusion sensitivities of counting experiments
Prudhvi N. Bhattiprolu, Stephen P. Martin, James D. Wells
The projected discovery and exclusion capabilities of experiments are often quantified using the median expected p-value or its corresponding significance. We argue that this criterion leads to flawed results, which for example can counterintuitively project lessened sensitivities if the experiment takes more data or reduces its background. We discuss the merits of several alternatives to the median expected significance, both when the background is known and when it is subject to some uncertainty. We advocate for standard use of the "exact Asimov significance" ZA detailed in this letter.