Implementation of full and simplified likelihoods in CheckMATE
I\~naki Lara, Krzysztof Rolbiecki
TL;DR
This paper introduces full and simplified likelihood models in CheckMATE, enhancing the analysis of multiple signal regions by incorporating 13 ATLAS and CMS searches, and demonstrating improved sensitivity through statistical combinations.
Contribution
It presents new methods for implementing and evaluating likelihood functions in CheckMATE, enabling more effective combination of search channels.
Findings
Increased sensitivity in search results through likelihood combination
Successful implementation of 13 ATLAS and CMS searches in CheckMATE
Enhanced analysis capabilities for multibin signal regions
Abstract
We present the implementation of simplified and full likelihood models for multibin signal regions in CheckMATE. A total of 13 searches are included from ATLAS and CMS, and several methods are presented for the implementation and evaluation of likelihood functions. Statistical combinations increase the sensitivity of searches and open up the possibility of combining orthogonal search channels in the CheckMATE framework.
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