Search for long-lived charged particles using the CMS detector in Run-2
Tamas Almos Vami
TL;DR
This work targets Heavy Stable Charged Particles (HSCPs) predicted by beyond-Standard-Model theories by exploiting distinctive ionization signatures in the CMS silicon tracker. It introduces a data-driven background strategy that uses independent pixel and strip observables to predict backgrounds, complemented by a mass proxy estimator from a Bethe-Bloch–inspired harmonic mean. The analysis, based on Run-2 data from 2017–2018, sets competitive exclusion limits on ten HSCP scenarios, including gluino and stop R-hadrons, various stau and tau' configurations, and Z$'$-mediated production, with no significant excess observed. The results provide the strongest mass exclusions to date for several models and demonstrate a robust, signature-driven approach to HSCP searches with strong potential for future runs.
Abstract
Long-lived charged particles are predicted by various theories beyond the Standard Model, leading to unique signatures that could reveal new physics. At the LHC, the CMS detector enables searches for these massive particles, identifiable by their characteristic ionization patterns. Using data collected during 2017-2018, we search for signals of anomalous ionization in the silicon tracker. We present a novel approach to background prediction, utilizing the distinct ionization measurements of the silicon pixel and strip detectors as independent variables. We interpret the results within several models including those with staus, stops, gluinos, and multiply charged particles as well as a new model with decays from a Z' boson
