Uncertainty components in profile likelihood fits
Abstract
When a measurement of a physical quantity is reported, the total uncertainty is usually decomposed into statistical and systematic uncertainties. This decomposition is not only useful to understand the contributions to the total uncertainty, but also required to propagate these contributions in subsequent analyses, such as combinations or interpretation fits including results from other measurements or experiments. In profile-likelihood fits, widely applied in high-energy physics analyses, contributions of systematic uncertainties are routinely quantified using "impacts", which are not adequate for such applications. We discuss the difference between impacts and actual uncertainty components, and establish methods to determine the latter in a wide range of statistical models.
Cite
@article{arxiv.2307.04007,
title = {Uncertainty components in profile likelihood fits},
author = {Andrés Pinto and Zhibo Wu and Fabrice Balli and Nicolas Berger and Maarten Boonekamp and Émilien Chapon and Tatsuo Kawamoto and Bogdan Malaescu},
journal= {arXiv preprint arXiv:2307.04007},
year = {2024}
}
Comments
20 pages