Constraining light thermal inelastic dark matter with NA64

A vector portal between the Standard Model and the dark sector is a predictive and compelling framework for thermal dark matter. Through co-annihilations, models of inelastic dark matter (iDM) and inelastic Dirac dark matter (i2DM) can reproduce the observed relic density in the MeV to GeV mass rang...

Descripción completa

Detalles Bibliográficos
Autores: Mongillo, Martina, Abdullahi, Asli, Banto Oberhauser, Benjamin, Crivelli, Paolo, Hostert, Matheus, Massaro, Daniele, Molina Bueno, Laura, Pascoli, Silvia
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/339240
Acceso en línea:http://hdl.handle.net/10261/339240
Access Level:acceso abierto
id ES_2f3fd201ddf9d643577c1b8f9d33c460
oai_identifier_str oai:digital.csic.es:10261/339240
network_acronym_str ES
network_name_str España
repository_id_str
spelling Constraining light thermal inelastic dark matter with NA64Mongillo, MartinaAbdullahi, AsliBanto Oberhauser, BenjaminCrivelli, PaoloHostert, MatheusMassaro, DanieleMolina Bueno, LauraPascoli, SilviaA vector portal between the Standard Model and the dark sector is a predictive and compelling framework for thermal dark matter. Through co-annihilations, models of inelastic dark matter (iDM) and inelastic Dirac dark matter (i2DM) can reproduce the observed relic density in the MeV to GeV mass range without violating cosmological limits. In these scenarios, the vector mediator behaves like a semi-visible particle, evading traditional bounds on visible or invisible resonances, and uncovering new parameter space to explain the muon (g- 2) anomaly. By means of a more inclusive signal definition at the NA64 experiment, we place new constraints on iDM and i2DM using a missing energy technique. With a recast-based analysis, we contextualize the NA64 exclusion limits in parameter space and estimate the reach of the newly collected and expected future NA64 data. Our results motivate the development of an optimized search program for semi-visible particles, in which fixed-target experiments like NA64 provide a powerful probe in the sub-GeV mass range.Peer reviewedSpringer NatureMinisterio de Ciencia e Innovación (España)Generalitat ValencianaAgencia Estatal de Investigación (España)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2023202320232023info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/339240reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-123955NA-I00info:eu-repo/grantAgreement/AEI//PID2021-123955NA-100http://dx.doi.org/10.1140/epjc/s10052-023-11536-5Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3392402026-05-22T06:33:51Z
dc.title.none.fl_str_mv Constraining light thermal inelastic dark matter with NA64
title Constraining light thermal inelastic dark matter with NA64
spellingShingle Constraining light thermal inelastic dark matter with NA64
Mongillo, Martina
title_short Constraining light thermal inelastic dark matter with NA64
title_full Constraining light thermal inelastic dark matter with NA64
title_fullStr Constraining light thermal inelastic dark matter with NA64
title_full_unstemmed Constraining light thermal inelastic dark matter with NA64
title_sort Constraining light thermal inelastic dark matter with NA64
dc.creator.none.fl_str_mv Mongillo, Martina
Abdullahi, Asli
Banto Oberhauser, Benjamin
Crivelli, Paolo
Hostert, Matheus
Massaro, Daniele
Molina Bueno, Laura
Pascoli, Silvia
author Mongillo, Martina
author_facet Mongillo, Martina
Abdullahi, Asli
Banto Oberhauser, Benjamin
Crivelli, Paolo
Hostert, Matheus
Massaro, Daniele
Molina Bueno, Laura
Pascoli, Silvia
author_role author
author2 Abdullahi, Asli
Banto Oberhauser, Benjamin
Crivelli, Paolo
Hostert, Matheus
Massaro, Daniele
Molina Bueno, Laura
Pascoli, Silvia
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Ministerio de Ciencia e Innovación (España)
Generalitat Valenciana
Agencia Estatal de Investigación (España)
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
description A vector portal between the Standard Model and the dark sector is a predictive and compelling framework for thermal dark matter. Through co-annihilations, models of inelastic dark matter (iDM) and inelastic Dirac dark matter (i2DM) can reproduce the observed relic density in the MeV to GeV mass range without violating cosmological limits. In these scenarios, the vector mediator behaves like a semi-visible particle, evading traditional bounds on visible or invisible resonances, and uncovering new parameter space to explain the muon (g- 2) anomaly. By means of a more inclusive signal definition at the NA64 experiment, we place new constraints on iDM and i2DM using a missing energy technique. With a recast-based analysis, we contextualize the NA64 exclusion limits in parameter space and estimate the reach of the newly collected and expected future NA64 data. Our results motivate the development of an optimized search program for semi-visible particles, in which fixed-target experiments like NA64 provide a powerful probe in the sub-GeV mass range.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023
2023
2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/339240
url http://hdl.handle.net/10261/339240
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-123955NA-I00
info:eu-repo/grantAgreement/AEI//PID2021-123955NA-100
http://dx.doi.org/10.1140/epjc/s10052-023-11536-5
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Springer Nature
publisher.none.fl_str_mv Springer Nature
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869405465477120000
score 15,812429

Similares en LA Referencia