Search for new physics using effective field theory in 13 TeV šā¢š collision events that contain a top quark pair and a boosted š or Higgs boson
File(s)PhysRevD.108.032008.pdf (18.78 MB)
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Author(s)
Type
Journal Article
Abstract
A data sample containing top quark pairs (tĀÆt) produced in association with a Lorentz-boosted Z or Higgs
boson is used to search for signs of new physics using effective field theory. The data correspond to an
integrated luminosity of 138 fbā1 of proton-proton collisions produced at a center-of-mass energy of
13 TeV at the LHC and collected by the CMS experiment. Selected events contain a single lepton and
hadronic jets, including two identified with the decay of bottom quarks, plus an additional large-radius jet
with high transverse momentum identified as a Z or Higgs boson decaying to a bottom quark pair. Machine
learning techniques are employed to discriminate between tĀÆtZ or tĀÆtH events and events from background
processes, which are dominated by t¯t þ jets production. No indications of new physics are observed. The
signal strengths of boosted tĀÆtZ and tĀÆtH production are measured, and upper limits are placed on the tĀÆtZ and
tĀÆtH differential cross sections as functions of the Z or Higgs boson transverse momentum. The effects of
new physics are probed using a framework in which the standard model is considered to be the low-energy
effective field theory of a higher energy scale theory. Eight possible dimension-six operators are added to
the standard model Lagrangian, and their corresponding coefficients are constrained via fits to the data.A data sample containing top quark pairs (tĀÆt) produced in association with a Lorentz-boosted Z or Higgs
boson is used to search for signs of new physics using effective field theory. The data correspond to an
integrated luminosity of 138 fbā1 of proton-proton collisions produced at a center-of-mass energy of
13 TeV at the LHC and collected by the CMS experiment. Selected events contain a single lepton and
hadronic jets, including two identified with the decay of bottom quarks, plus an additional large-radius jet
with high transverse momentum identified as a Z or Higgs boson decaying to a bottom quark pair. Machine
learning techniques are employed to discriminate between tĀÆtZ or tĀÆtH events and events from background
processes, which are dominated by t¯t þ jets production. No indications of new physics are observed. The
signal strengths of boosted tĀÆtZ and tĀÆtH production are measured, and upper limits are placed on the tĀÆtZ and
tĀÆtH differential cross sections as functions of the Z or Higgs boson transverse momentum. The effects of
new physics are probed using a framework in which the standard model is considered to be the low-energy
effective field theory of a higher energy scale theory. Eight possible dimension-six operators are added to
the standard model Lagrangian, and their corresponding coefficients are constrained via fits to the data.
boson is used to search for signs of new physics using effective field theory. The data correspond to an
integrated luminosity of 138 fbā1 of proton-proton collisions produced at a center-of-mass energy of
13 TeV at the LHC and collected by the CMS experiment. Selected events contain a single lepton and
hadronic jets, including two identified with the decay of bottom quarks, plus an additional large-radius jet
with high transverse momentum identified as a Z or Higgs boson decaying to a bottom quark pair. Machine
learning techniques are employed to discriminate between tĀÆtZ or tĀÆtH events and events from background
processes, which are dominated by t¯t þ jets production. No indications of new physics are observed. The
signal strengths of boosted tĀÆtZ and tĀÆtH production are measured, and upper limits are placed on the tĀÆtZ and
tĀÆtH differential cross sections as functions of the Z or Higgs boson transverse momentum. The effects of
new physics are probed using a framework in which the standard model is considered to be the low-energy
effective field theory of a higher energy scale theory. Eight possible dimension-six operators are added to
the standard model Lagrangian, and their corresponding coefficients are constrained via fits to the data.A data sample containing top quark pairs (tĀÆt) produced in association with a Lorentz-boosted Z or Higgs
boson is used to search for signs of new physics using effective field theory. The data correspond to an
integrated luminosity of 138 fbā1 of proton-proton collisions produced at a center-of-mass energy of
13 TeV at the LHC and collected by the CMS experiment. Selected events contain a single lepton and
hadronic jets, including two identified with the decay of bottom quarks, plus an additional large-radius jet
with high transverse momentum identified as a Z or Higgs boson decaying to a bottom quark pair. Machine
learning techniques are employed to discriminate between tĀÆtZ or tĀÆtH events and events from background
processes, which are dominated by t¯t þ jets production. No indications of new physics are observed. The
signal strengths of boosted tĀÆtZ and tĀÆtH production are measured, and upper limits are placed on the tĀÆtZ and
tĀÆtH differential cross sections as functions of the Z or Higgs boson transverse momentum. The effects of
new physics are probed using a framework in which the standard model is considered to be the low-energy
effective field theory of a higher energy scale theory. Eight possible dimension-six operators are added to
the standard model Lagrangian, and their corresponding coefficients are constrained via fits to the data.
Date Issued
2023-08-01
Date Acceptance
2023-03-21
Citation
Physical Review D (particles, fields, gravitation, and cosmology), 2023, 108 (3)
ISSN
2470-0010
Publisher
American Physical Society
Journal / Book Title
Physical Review D (particles, fields, gravitation, and cosmology)
Volume
108
Issue
3
Copyright Statement
Ā© 2023 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 articleās title, journal citation, and DOI. Funded by SCOAP3.
License URL
Identifier
https://journals.aps.org/prd/abstract/10.1103/PhysRevD.108.032008
Subjects
Astronomy & Astrophysics
Physical Sciences
Physics
Physics, Particles & Fields
Science & Technology
Publication Status
Published
Article Number
032008
Date Publish Online
2023-08-10