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February 11, 20260 citationsOpen Access

Search for heavy long-lived charged particles with level-1 trigger scouting data from proton-proton collisions at s = 13. 6 TeV

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AHAram HayrapetyanVMVladimir MakarenkoATArmen Tumasyan

Key Points

  • This research aims to search for heavy long-lived charged particles using novel data collection methods at the LHC.
  • Analyzed data from proton-proton collisions at 13.6 TeV collected in 2024.
  • Utilized level-1 trigger scouting data collected without any trigger selection.
  • Investigated correlations between bunch crossings for particle detection.
  • Set upper limits on the cross sections of benchmark processes for heavy long-lived charged particles.
  • Established upper limits on the fiducial cross section for particles with transverse momentum greater than 500 GeV.
  • Extended the sensitivity of searches to lower values of β (speed of particles).

Abstract

A search for heavy long-lived charged particles at the LHC is presented. Particles interacting with the CMS muon detector across several bunch crossings are searched for using a data sample of proton-proton collisions at s = 13. 6 TeV collected with the CMS detector in 2024, corresponding to an integrated luminosity of 3. 7 fb^-1. This is the first search relying on the novel level-1 trigger scouting data set collected without any trigger selection, allowing correlations between bunch crossings to be analyzed. The results are interpreted as upper limits on the cross sections of several benchmark processes with pair production of heavy long-lived charged particles. Upper limits on the fiducial cross section of a heavy long-lived charged particle with pT 500 GeV and η 0. 83 are also set in different ranges of β=v/c. This analysis is a crucial proof of concept for the level-1 trigger data scouting system and complements existing searches for heavy long-lived charged particles by extending the sensitivity to lower β values.

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Cite This Study

Hayrapetyan et al. (2026) studied this question.

synapsesocial.com/papers/698c1bb8267fb587c655d91ahttps://doi.org/10.3204/pubdb-2026-00651
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