Constraining new physics with searches for long-lived particles: Implementation into SModelS

We present the implementation of heavy stable charge particle (HSCP) and R-hadron signatures into SModelSv1.2. We include simplified-model results from the 8 and 13 TeV LHC and demonstrate their impact on two new physics scenarios motivated by dark matter: the inert doublet model and a gravitino dar...

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Main Authors: Jan Heisig, Sabine Kraml, Andre Lessa
Format: Article
Language:English
Published: Elsevier 2019-01-01
Series:Physics Letters B
Online Access:http://www.sciencedirect.com/science/article/pii/S0370269318308207
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spelling doaj-71ee8efb52a34d36a3c93276ab9f41022020-11-24T23:20:33ZengElsevierPhysics Letters B0370-26932019-01-017888795Constraining new physics with searches for long-lived particles: Implementation into SModelSJan Heisig0Sabine Kraml1Andre Lessa2Institute for Theoretical Particle Physics and Cosmology, RWTH Aachen University, 52056 Aachen, Germany; Corresponding author.Laboratoire de Physique Subatomique et de Cosmologie, Université Grenoble-Alpes, CNRS/IN2P3, 53 Avenue des Martyrs, F-38026 Grenoble, FranceCentro de Ciências Naturais e Humanas, Universidade Federal do ABC, Santo André, 09210-580 SP, BrazilWe present the implementation of heavy stable charge particle (HSCP) and R-hadron signatures into SModelSv1.2. We include simplified-model results from the 8 and 13 TeV LHC and demonstrate their impact on two new physics scenarios motivated by dark matter: the inert doublet model and a gravitino dark matter scenario. For the former, we find sensitivity up to dark matter masses of 580 GeV for small mass splittings within the inert doublet, while missing energy searches are not able to constrain any significant part of the cosmologically preferred parameter space. For the gravitino dark matter scenario, we show that both HSCP and R-hadron searches provide important limits, allowing to constrain the viable range of the reheating temperature.http://www.sciencedirect.com/science/article/pii/S0370269318308207
collection DOAJ
language English
format Article
sources DOAJ
author Jan Heisig
Sabine Kraml
Andre Lessa
spellingShingle Jan Heisig
Sabine Kraml
Andre Lessa
Constraining new physics with searches for long-lived particles: Implementation into SModelS
Physics Letters B
author_facet Jan Heisig
Sabine Kraml
Andre Lessa
author_sort Jan Heisig
title Constraining new physics with searches for long-lived particles: Implementation into SModelS
title_short Constraining new physics with searches for long-lived particles: Implementation into SModelS
title_full Constraining new physics with searches for long-lived particles: Implementation into SModelS
title_fullStr Constraining new physics with searches for long-lived particles: Implementation into SModelS
title_full_unstemmed Constraining new physics with searches for long-lived particles: Implementation into SModelS
title_sort constraining new physics with searches for long-lived particles: implementation into smodels
publisher Elsevier
series Physics Letters B
issn 0370-2693
publishDate 2019-01-01
description We present the implementation of heavy stable charge particle (HSCP) and R-hadron signatures into SModelSv1.2. We include simplified-model results from the 8 and 13 TeV LHC and demonstrate their impact on two new physics scenarios motivated by dark matter: the inert doublet model and a gravitino dark matter scenario. For the former, we find sensitivity up to dark matter masses of 580 GeV for small mass splittings within the inert doublet, while missing energy searches are not able to constrain any significant part of the cosmologically preferred parameter space. For the gravitino dark matter scenario, we show that both HSCP and R-hadron searches provide important limits, allowing to constrain the viable range of the reheating temperature.
url http://www.sciencedirect.com/science/article/pii/S0370269318308207
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AT sabinekraml constrainingnewphysicswithsearchesforlonglivedparticlesimplementationintosmodels
AT andrelessa constrainingnewphysicswithsearchesforlonglivedparticlesimplementationintosmodels
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