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Performance of the ATLAS muon triggers in Run 2

2020· article· en· W3041529689 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Instrumentation · 2020
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsYork UniversityUniversity of British ColumbiaTRIUMFCarleton UniversitySimon Fraser UniversityUniversity of AlbertaUniversité de MontréalInstitute of Particle PhysicsUniversity of VictoriaMcGill UniversityUniversity of Toronto
FundersNuclear PhysicsRoyal Holloway, University of LondonInstitut National de Physique Nucléaire et de Physique des ParticulesDepartment of Physics and Astronomy, University College LondonAgencia Nacional de Promoción Científica y TecnológicaFundação para a Ciência e a TecnologiaJapan Society for the Promotion of ScienceNational Research Center "Kurchatov Institute"Services Fédéraux des Affaires Scientifiques, Techniques et CulturellesCollege of Engineering, Michigan State UniversityNational Research Nuclear University MEPhIUniverza v LjubljaniRussian Academy of SciencesNational Academy of Sciences of BelarusEuropean Regional Development FundBritish Columbia Knowledge Development FundMax-Planck-GesellschaftCentre National de la Recherche ScientifiqueNational Science FoundationUniversidad Autónoma de MadridIsrael Science FoundationComisión Nacional de Investigación Científica y TecnológicaTürkiye Atom Enerjisi KurumuJoint Institute for Nuclear ResearchMinisterstwo Edukacji i NaukiMcGill UniversityConselho Nacional de Desenvolvimento Científico e TecnológicoBundesministerium für Wissenschaft, Forschung und WirtschaftGeneralitat de CatalunyaGeneralitat ValencianaLunds UniversitetConsejo Nacional de Investigaciones Científicas y TécnicasAustrian Science FundNatural Sciences and Engineering Research Council of CanadaMinistry of Education, Culture, Sports, Science and TechnologyBundesministerium für Bildung und ForschungEuropean CommissionLeverhulme TrustFundação de Amparo à Pesquisa do Estado de São PauloJavna Agencija za Raziskovalno Dejavnost RSScience and Technology Facilities CouncilSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungAgence Nationale de la RechercheDepartment of Science and Technology, Ministry of Science and Technology, IndiaMichigan State UniversityUniversidad Nacional de La PlataGeneral Secretariat for Research and TechnologyDeutsche ForschungsgemeinschaftNederlandse Organisatie voor Wetenschappelijk OnderzoekInstitut "Jožef Stefan"Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)H2020 Marie Skłodowska-Curie ActionsLouisiana Tech UniversityCentres de Recerca de CatalunyaCERNEuropean Social FundCentre National pour la Recherche Scientifique et TechniqueRoyal SocietyCompute CanadaLomonosov Moscow State UniversityLudwig-Maximilians-Universität MünchenCanarieQueen Mary University of LondonAlexander von Humboldt-StiftungTRIUMFDanmarks GrundforskningsfondUniversity College LondonAix-Marseille UniversitéNational Natural Science Foundation of ChinaU.S. Department of Energy
KeywordsMuonPhysicsNuclear physicsAtlas (anatomy)Particle physicsLarge Hadron ColliderATLAS experimentMesonBosonHadronQuarkRange (aeronautics)Proton

Abstract

fetched live from OpenAlex

The performance of the ATLAS muon trigger system is evaluated with proton-proton ( ) and heavy-ion (HI) collision data collected in Run 2 during 2015-2018 at the Large Hadron Collider. It is primarily evaluated using events containing a pair of muons from the decay of Z bosons to cover the intermediate momentum range between 26 GeV and 100 GeV. Overall, the efficiency of the single-muon triggers is about 68% in the barrel region and 85% in the endcap region. The T range for efficiency determination is extended by using muons from decays of J/ mesons, W bosons, and top quarks. The performance in HI collision data is measured and shows good agreement with the results obtained in collisions. The muon trigger shows uniform and stable performance in good agreement with the prediction of a detailed simulation. Dedicated multi-muon triggers with kinematic selections provide the backbone to beauty, quarkonia, and low-mass physics studies. The design, evolution and performance of these triggers are discussed in detail.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.770
Threshold uncertainty score0.099

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.247
Teacher spread0.235 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it