Automatised ILC-Bounds on Dark Matter Models with CheckMATE
Daniel Dercks, Gudrid Moortgat-Pick

TL;DR
This paper extends the CheckMATE tool to include sensitivity studies for the International Linear Collider, focusing on dark matter monophoton searches and analyzing different beam polarization scenarios.
Contribution
It introduces an automated framework for ILC sensitivity analysis within CheckMATE, enabling rapid testing of dark matter models against collider data.
Findings
ILC sensitivity can be effectively evaluated using the extended CheckMATE.
Beam polarization significantly impacts the sensitivity results.
The method allows comparison of different dark matter interaction scenarios.
Abstract
The public collider phenomenology computing tool CheckMATE (Check Models at Terascale Energies) was originally designed to allow theorists to quickly test their favourite BSM models against various existing LHC analyses performed by ATLAS and CMS. It offers an automatised chain of Monte Carlo event generation, detector simulation, event analysis and statistical evaluation so that it can automatically determine whether a given parameter point of a BSM model is excluded or not. Currently, it contains more than 50 individual ATLAS or CMS analyses whose several hundred signal regions target various final states as they typically appear in theories beyond the Standard Model. In this study, we extend this functionality to allow sensitivity studies for the International Linear Collider. As an example, we implemente a dark matter monophoton search and use it to analyse three benchmark scenarios…
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Taxonomy
TopicsComputational Physics and Python Applications · Dark Matter and Cosmic Phenomena · Astronomy and Astrophysical Research
