Deciphering compressed electroweakino excesses with MadAnalysis 5
Jack Y. Araz, Benjamin Fuks, Mark D. Goodsell, Taylor Murphy

TL;DR
This paper introduces MadAnalysis 5 version 1.11, enhancing its features for analyzing LHC data, and demonstrates its application in interpreting excesses in supersymmetric models.
Contribution
The paper details new capabilities in MadAnalysis 5 for improved analysis of LHC data and applies it to interpret electroweakino excesses within supersymmetric models.
Findings
Enhanced analysis features in MadAnalysis 5 facilitate better handling of efficiency tables and observables.
Validated implementation of two LHC analyses targeting soft leptons and missing energy signatures.
Applied the tool to explore supersymmetric explanations for observed excesses.
Abstract
We present version 1.11 of MadAnalysis 5, which extends the software package in several major ways to improve the handling of efficiency tables, the computation of observables in different reference frames and the calculation of statistical limits and/or significance. We detail how these improvements, whose development was motivated by the desire to implement two Run 2 LHC analyses targeting signatures with soft leptons and missing energy and exhibiting mild excesses (ATLAS-SUSY-2018-16 and ATLAS-SUSY-2019-09), have been implemented by both direct extensions of the code and integrations with third-party software. We then document the implementation and validation of these analyses, demonstrating their utility along with the improved statistics capabilities of MadAnalysis 5 through an investigation of the Next-to-Minimal Supersymmetric Standard Model in the context of a larger set of…
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Taxonomy
TopicsParticle physics theoretical and experimental studies · Particle Detector Development and Performance · High-Energy Particle Collisions Research
