Dijet Resonance Search with Weak Supervision Using √s = 13 TeV pp Collisions in the ATLAS Detector

This Letter describes a search for narrowly resonant new physics using a machine-learning anomaly detection procedure that does not rely on signal simulations for developing the analysis selection. Weakly supervised learning is used to train classifiers directly on data to enhance potential signals....

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Detalles Bibliográficos
Autores principales: Alonso, Francisco, Arduh, Francisco Anuar, Dova, María Teresa, Hoya, Joaquín, Monticelli, Fernando Gabriel, Orellana, Gonzalo Enrique, Wahlberg, Hernán Pablo, The ATLAS Collaboration
Formato: Articulo
Lenguaje:Inglés
Publicado: 2020
Materias:
Física
Hadronic decays
Hadron colliders
pp collisions
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/133816
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-133816
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Física
Hadronic decays
Hadron colliders
pp collisions
spellingShingle Física
Hadronic decays
Hadron colliders
pp collisions
Alonso, Francisco
Arduh, Francisco Anuar
Dova, María Teresa
Hoya, Joaquín
Monticelli, Fernando Gabriel
Orellana, Gonzalo Enrique
Wahlberg, Hernán Pablo
The ATLAS Collaboration
Dijet Resonance Search with Weak Supervision Using √s = 13 TeV pp Collisions in the ATLAS Detector
topic_facet Física
Hadronic decays
Hadron colliders
pp collisions
description This Letter describes a search for narrowly resonant new physics using a machine-learning anomaly detection procedure that does not rely on signal simulations for developing the analysis selection. Weakly supervised learning is used to train classifiers directly on data to enhance potential signals. The targeted topology is dijet events and the features used for machine learning are the masses of the two jets. The resulting analysis is essentially a three-dimensional search A → BC, for m<sub>A</sub> ∼ O(TeV), m<sub>B</sub>,m<sub>C</sub> ∼O(100  GeV) and B, C are reconstructed as large-radius jets, without paying a penalty associated with a large trials factor in the scan of the masses of the two jets. The full run 2 √s = 13  TeV pp collision dataset of 139  fb⁻¹ recorded by the ATLAS detector at the Large Hadron Collider is used for the search. There is no significant evidence of a localized excess in the dijet invariant mass spectrum between 1.8 and 8.2 TeV. Cross-section limits for narrow-width A, B, and C particles vary with m<sub>A</sub>, m<sub>B</sub>, and m<sub>C</sub>. For example, when m<sub>A</sub> = 3  TeV and m<sub>B</sub> ≳ 200  GeV, a production cross section between 1 and 5 fb is excluded at 95% confidence level, depending on m<sub>C</sub>. For certain masses, these limits are up to 10 times more sensitive than those obtained by the inclusive dijet search. These results are complementary to the dedicated searches for the case that B and C are standard model bosons.
format Articulo
Articulo
author Alonso, Francisco
Arduh, Francisco Anuar
Dova, María Teresa
Hoya, Joaquín
Monticelli, Fernando Gabriel
Orellana, Gonzalo Enrique
Wahlberg, Hernán Pablo
The ATLAS Collaboration
author_facet Alonso, Francisco
Arduh, Francisco Anuar
Dova, María Teresa
Hoya, Joaquín
Monticelli, Fernando Gabriel
Orellana, Gonzalo Enrique
Wahlberg, Hernán Pablo
The ATLAS Collaboration
author_sort Alonso, Francisco
title Dijet Resonance Search with Weak Supervision Using √s = 13 TeV pp Collisions in the ATLAS Detector
title_short Dijet Resonance Search with Weak Supervision Using √s = 13 TeV pp Collisions in the ATLAS Detector
title_full Dijet Resonance Search with Weak Supervision Using √s = 13 TeV pp Collisions in the ATLAS Detector
title_fullStr Dijet Resonance Search with Weak Supervision Using √s = 13 TeV pp Collisions in the ATLAS Detector
title_full_unstemmed Dijet Resonance Search with Weak Supervision Using √s = 13 TeV pp Collisions in the ATLAS Detector
title_sort dijet resonance search with weak supervision using √s = 13 tev pp collisions in the atlas detector
publishDate 2020
url http://sedici.unlp.edu.ar/handle/10915/133816
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