Search for long-lived particles using displaced vertices and missing transverse momentum in proton-proton collisions at √𝑠 =13 TeV
File(s)PhysRevD.109.112005.pdf (1.53 MB)
Published version
Author(s)
Type
Journal Article
Abstract
A search for the production of long-lived particles in proton-proton collisions at a center-of-mass energy of 13 TeV at the CERN LHC is presented. The search is based on data collected by the CMS experiment in 2016–2018, corresponding to a total integrated luminosity of 137 fb−1. This search is designed to be sensitive to long-lived particles with mean proper decay lengths between 0.1 and 1000 mm, whose decay products produce a final state with at least one displaced vertex and missing transverse momentum. A machine learning algorithm, which improves the background rejection power by more than an order of magnitude, is applied to improve the sensitivity. The observation is consistent with the standard model background prediction, and the results are used to constrain split supersymmetry (SUSY) and gauge-mediated SUSY breaking models with different gluino mean proper decay lengths and masses. This search is the first CMS search that shows sensitivity to hadronically decaying long-lived particles from signals with mass differences between the gluino and neutralino below 100 GeV. It sets the most stringent limits to date for split-SUSY models and gauge-mediated SUSY breaking models with gluino proper decay length less than 6 mm.
Date Issued
2024-06-01
Date Acceptance
2024-04-09
Citation
Physical Review D: Particles, Fields, Gravitation and Cosmology, 2024, 109 (11)
ISSN
1550-2368
Publisher
American Physical Society
Journal / Book Title
Physical Review D: Particles, Fields, Gravitation and Cosmology
Volume
109
Issue
11
Copyright Statement
© 2024 CERN, for the CMS Collaboration Published by the American Physical Society under the terms of
the Creative Commons Attribution 4.0 International license.
Further distribution of this work must maintain attribution to
the author(s) and the published article’s title, journal citation,
and DOI. Funded by SCOAP3
.
the Creative Commons Attribution 4.0 International license.
Further distribution of this work must maintain attribution to
the author(s) and the published article’s title, journal citation,
and DOI. Funded by SCOAP3
.
License URL
Identifier
https://journals.aps.org/prd/abstract/10.1103/PhysRevD.109.112005
Subjects
Astronomy & Astrophysics
HIGGS
Physical Sciences
Physics
Physics, Particles & Fields
Science & Technology
SIMULTANEOUS PATTERN-RECOGNITION
SUPERSYMMETRY
TRACK
Publication Status
Published
Article Number
112005
Date Publish Online
2024-06-05