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Record W2604055940 · doi:10.1103/physrevd.96.072002

Jet energy scale measurements and their systematic uncertainties in proton-proton collisions at <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msqrt><mml:mi>s</mml:mi></mml:msqrt><mml:mo>=</mml:mo><mml:mn>13</mml:mn><mml:mtext> </mml:mtext><mml:mtext> </mml:mtext><mml:mi>TeV</mml:mi></mml:math> with the ATLAS detector

2017· article· lv· W2604055940 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

VenuePhysical review. D/Physical review. D. · 2017
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsInstitute of Particle Physics
FundersH2020 Marie Skłodowska-Curie ActionsInstitut National de Physique Nucléaire et de Physique des ParticulesInstituto Nazionale di Fisica NucleareAgencia Nacional de Promoción Científica y TecnológicaFundação para a Ciência e a TecnologiaAustralian Research CouncilSeventh Framework ProgrammeJapan Society for the Promotion of ScienceNational Research Center "Kurchatov Institute"Services Fédéraux des Affaires Scientifiques, Techniques et CulturellesBergens ForskningsstiftelseGeorgian National Science FoundationShota Rustaveli National Science FoundationMinistarstvo Prosvete, Nauke i Tehnološkog RazvojaHorizon 2020 Framework ProgrammeVetenskapsrådetJavna Agencija za Raziskovalno Dejavnost RSBrookhaven National LaboratoryEuropean Regional Development FundBritish Columbia Knowledge Development FundCentre National de la Recherche ScientifiqueMax-Planck-GesellschaftKnut och Alice Wallenbergs StiftelseIsrael Science FoundationMinistry of Education and Science of the Russian FederationBundesministerium für Wissenschaft, Forschung und WirtschaftNational Research Council CanadaFonds Québécois de la Recherche sur la Nature et les TechnologiesAustrian Science FundDeutsche ForschungsgemeinschaftNederlandse Organisatie voor Wetenschappelijk OnderzoekChinese Academy of SciencesFondation Partager le SavoirNational Science CouncilEuropean CommissionLeverhulme TrustFundação de Amparo à Pesquisa do Estado de São PauloDepartamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)German-Israeli Foundation for Scientific Research and DevelopmentMinisterstvo školstva, vedy, výskumu a športu Slovenskej republikyDanmarks GrundforskningsfondNatural Sciences and Engineering Research Council of CanadaMinisterio de Economía y CompetitividadMinistry of Education, Culture, Sports, Science and TechnologyBundesministerium für Bildung und ForschungResearch Grants Council, University Grants CommitteeMinisterstvo Školství, Mládeže a TělovýchovyDepartment of Science and Technology, Ministry of Science and Technology, IndiaStichting voor Fundamenteel Onderzoek der MaterieScience and Technology Facilities CouncilMinisterstvo Průmyslu a ObchoduSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungMinistry of Science and Technology of the People's Republic of ChinaAgence Nationale de la RechercheMinerva FoundationDepartment of Science and Technology, Republic of South AfricaGeneralitat ValencianaGeneralitat de CatalunyaGeneral Secretariat for Research and TechnologyMinisterstwo Edukacji i NaukiNarodowe Centrum NaukiConselho Nacional de Desenvolvimento Científico e TecnológicoCanada Foundation for InnovationEuropean Social FundCentre National pour la Recherche Scientifique et TechniqueRoyal SocietyNational Science FoundationLundbeckfondenCompute CanadaAlexander von Humboldt-StiftungTRIUMFEuropean Science FoundationComisión Nacional de Investigación Científica y TecnológicaJoint Institute for Nuclear ResearchTürkiye Atom Enerjisi KurumuCentres de Recerca de CatalunyaNational Natural Science Foundation of ChinaIsraeli Centers for Research ExcellenceU.S. Department of EnergyOntario Innovation TrustCERNCanarieHelmholtz-GemeinschaftH2020 European Research CouncilNorges ForskningsrådNatur og Univers, Det Frie Forskningsråd
KeywordsPhysicsCalorimeter (particle physics)Jet (fluid)Large Hadron ColliderNuclear physicsLuminosityCalibrationEnergy (signal processing)ProtonParticle physicsDetectorAstrophysicsOpticsMechanics

Abstract

fetched live from OpenAlex

Jet energy scale measurements and their systematic uncertainties are reported for jets measured with the ATLAS detector using proton-proton collision data with a center-of-mass energy of $\sqrt{s}=13\text{ }\text{ }\mathrm{TeV}$, corresponding to an integrated luminosity of $3.2\text{ }\text{ }{\mathrm{fb}}^{\ensuremath{-}1}$ collected during 2015 at the LHC. Jets are reconstructed from energy deposits forming topological clusters of calorimeter cells, using the anti-${k}_{t}$ algorithm with radius parameter $R=0.4$. Jets are calibrated with a series of simulation-based corrections and in situ techniques. In situ techniques exploit the transverse momentum balance between a jet and a reference object such as a photon, $Z$ boson, or multijet system for jets with $20&lt;{p}_{\mathrm{T}}&lt;2000\text{ }\text{ }\mathrm{GeV}$ and pseudorapidities of $|\ensuremath{\eta}|&lt;4.5$, using both data and simulation. An uncertainty in the jet energy scale of less than 1% is found in the central calorimeter region ($|\ensuremath{\eta}|&lt;1.2$) for jets with $100&lt;{p}_{\mathrm{T}}&lt;500\text{ }\text{ }\mathrm{GeV}$. An uncertainty of about 4.5% is found for low-${p}_{\mathrm{T}}$ jets with ${p}_{\mathrm{T}}=20\text{ }\text{ }\mathrm{GeV}$ in the central region, dominated by uncertainties in the corrections for multiple proton-proton interactions. The calibration of forward jets ($|\ensuremath{\eta}|&gt;0.8$) is derived from dijet ${p}_{\mathrm{T}}$ balance measurements. For jets of ${p}_{\mathrm{T}}=80\text{ }\text{ }\mathrm{GeV}$, the additional uncertainty for the forward jet calibration reaches its largest value of about 2% in the range $|\ensuremath{\eta}|&gt;3.5$ and in a narrow slice of $2.2&lt;|\ensuremath{\eta}|&lt;2.4$.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.941
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0000.001
Science and technology studies0.0030.003
Scholarly communication0.0010.001
Open science0.0030.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.002

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 head0.021
GPT teacher head0.304
Teacher spread0.283 · 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