PoS - Proceedings of Science
Volume 450 - The Eleventh Annual Conference on Large Hadron Collider Physics (LHCP2023) - session Poster session
ATLAS Full Run 2 Search for Direct Stau Production using Machine Learning
D. Jones
Full text: pdf
Pre-published on: January 24, 2024
Published on:
Abstract
In Supersymmetry, staus are the proposed super-partners of the Standard Model tau-leptons and have previously been searched for at the Large Hadron Collider by the ATLAS and CMS Collaborations, so far with no evidence for their existence being found.
However, previous stau searches performed with the ATLAS experiment have only been sensitive to staus with masses between 100~GeV and 400~GeV, the sensitivity in part being limited by challenging Standard Model backgrounds.
This poster presents a new search for staus with the ATLAS experiment [1] which utilises multiple Boosted Decision Trees to improve the sensitivity reach compared to previous searches.
The new search obtains the first sensitivity to stau right-only production with the ATLAS experiment.
More details of the search can be found in reference [2].
DOI: https://doi.org/10.22323/1.450.0254
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