Perturbative benchmark models for a dark shower search program

We provide five benchmark hidden valley models with perturbative parton showers, which span a wide range of dark shower phenomenology. We consider production through an s-channel, heavy mediator, which can be identified with the SM Higgs. By assuming a set of well-motivated decay portals, one can mo...

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Detalles Bibliográficos
Autores principales: Knapen, Simon, Shelton, Jessie, Xu, Dong
Lenguaje:eng
Publicado: 2021
Materias:
hep-ph
Particle Physics - Phenomenology
Acceso en línea:https://dx.doi.org/10.1103/PhysRevD.103.115013
http://cds.cern.ch/record/2756389
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author Knapen, Simon
Shelton, Jessie
Xu, Dong
author_facet Knapen, Simon
Shelton, Jessie
Xu, Dong
author_sort Knapen, Simon
collection CERN
description We provide five benchmark hidden valley models with perturbative parton showers, which span a wide range of dark shower phenomenology. We consider production through an s-channel, heavy mediator, which can be identified with the SM Higgs. By assuming a set of well-motivated decay portals, one can moreover fix both the branching ratios of the dark mesons and set a lower bound on their lifetime. We provide a public python tool which can be used to generate self-consistent pythia 8 cards for our benchmark models.
id cern-2756389
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2021
record_format invenio
spelling cern-27563892023-01-31T09:09:22Zdoi:10.1103/PhysRevD.103.115013http://cds.cern.ch/record/2756389engKnapen, SimonShelton, JessieXu, DongPerturbative benchmark models for a dark shower search programhep-phParticle Physics - PhenomenologyWe provide five benchmark hidden valley models with perturbative parton showers, which span a wide range of dark shower phenomenology. We consider production through an s-channel, heavy mediator, which can be identified with the SM Higgs. By assuming a set of well-motivated decay portals, one can moreover fix both the branching ratios of the dark mesons and set a lower bound on their lifetime. We provide a public python tool which can be used to generate self-consistent pythia 8 cards for our benchmark models.We provide five benchmark hidden valley models with perturbative parton showers, which span a wide range of dark shower phenomenology. We consider production through an $s$-channel, heavy mediator, which can be identified with the SM Higgs. By assuming a set of well-motivated decay portals, one can moreover fix both the branching ratios of the dark mesons and set a lower bound on their lifetime. We provide a public python tool which can be used to generate self-consistent PYTHIA 8 cards for our benchmark models.arXiv:2103.01238oai:cds.cern.ch:27563892021-03-01
spellingShingle hep-ph
Particle Physics - Phenomenology
Knapen, Simon
Shelton, Jessie
Xu, Dong
Perturbative benchmark models for a dark shower search program
title Perturbative benchmark models for a dark shower search program
title_full Perturbative benchmark models for a dark shower search program
title_fullStr Perturbative benchmark models for a dark shower search program
title_full_unstemmed Perturbative benchmark models for a dark shower search program
title_short Perturbative benchmark models for a dark shower search program
title_sort perturbative benchmark models for a dark shower search program
topic hep-ph
Particle Physics - Phenomenology
url https://dx.doi.org/10.1103/PhysRevD.103.115013
http://cds.cern.ch/record/2756389
work_keys_str_mv AT knapensimon perturbativebenchmarkmodelsforadarkshowersearchprogram
AT sheltonjessie perturbativebenchmarkmodelsforadarkshowersearchprogram
AT xudong perturbativebenchmarkmodelsforadarkshowersearchprogram

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