Testing the approximations described in "Asymptotic formulae for likelihood-based tests of new physics"

2011/10/22 by Eric Burns, Burns, Eric, W. C. Fisher +1
Physics and Astronomy · Computer Science · Decision Sciences · #Particle physics theoretical and experimental studies #Computational Physics and Python Applications #Big Data Technologies and Applications

paper · pdf · doi:10.48550/arxiv.1110.5002

Abstract

"Asymptotic formulae for likelihood-based tests of new physics" presents a mathematical formalism for a new approximation for hypothesis testing in high energy physics. The approximations are designed to greatly reduce the computational burden for such problems. We seek to test the conditions under which the approximations described remain valid. To do so, we perform parallel calculations for a range of scenarios and compare the full calculation to the approximations to determine the limits and robustness of the approximation. We compare this approximation against values calculated with the Collie framework, which for our analysis we assume produces true values.

Citations

• The Large-Sample Distribution of the Likelihood Ratio for Testing Composite Hypotheses

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