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Record W4318243239 · doi:10.17182/hepdata.78551

Search for new phenomena in high-mass final states with a photon and a jet from $pp$ collisions at $\sqrt{s}$ = 13 TeV with the ATLAS detector

2017· dataset· en· W4318243239 on OpenAlexfundno aff

Bibliographic record

VenueOSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 2017
Typedataset
Languageen
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsnot available
FundersNuclear PhysicsHigh Energy PhysicsAgencia Nacional de Promoción Científica y TecnológicaDeutsches Elektronen-SynchrotronMinistry of Education, Culture, Sports, Science and TechnologyBundesministerium für Bildung und ForschungNatural Sciences and Engineering Research Council of CanadaUniversidade Federal de São João del-ReiTechnische Universität DortmundUniversity of Science and Technology of ChinaNanjing UniversityUniversidade Federal de Juiz de ForaUniversità della CalabriaShanghai Jiao Tong UniversityServices Fédéraux des Affaires Scientifiques, Techniques et CulturellesInstitut National de Physique Nucléaire et de Physique des ParticulesUniversité de GenèveUniversidad de Buenos AiresAkademia Górniczo-Hutnicza im. Stanislawa StaszicaShota Rustaveli National Science FoundationBrookhaven National LaboratoryMax-Planck-GesellschaftCentre National de la Recherche ScientifiqueUniversitatea Transilvania din BrasovInstitute of High Energy PhysicsUniversità di BolognaFundação de Amparo à Pesquisa do Estado de São PauloChinese Academy of SciencesTsinghua UniversityPontificia Universidad Católica de ChileRheinische Friedrich-Wilhelms-Universität BonnIsraeli Centers for Research ExcellenceShandong UniversityGeneral Secretariat for Research and TechnologyState Key Laboratory of Particle Detection and ElectronicsAustrian Science FundTechnische Universität DresdenShanghai Key Laboratory for Particle Physics and CosmologyNational Natural Science Foundation of ChinaScottish Universities Physics AllianceJapan Society for the Promotion of ScienceConselho Nacional de Desenvolvimento Científico e TecnológicoComisión Nacional de Investigación Científica y TecnológicaDanmarks GrundforskningsfondIsrael Science FoundationSouthern Methodist UniversityUniversidad Técnica Federico Santa MaríaUniversity of GlasgowJustus Liebig Universität GießenCERNBundesministerium für Wissenschaft, Forschung und WirtschaftBrandeis UniversityDepartamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)
KeywordsJet (fluid)PhysicsPhotonMathematicsMathematics educationMechanicsQuantum mechanics

Abstract

fetched live from OpenAlex

A search is performed for new phenomena in events with a high-transverse momentum photon and jets collected in 36.7/fb of pp collisions at a centre-of-mass energy of 13 TeV recorded with the ATLAS detector at the Large Hadron Collider. The invariant mass distribution of the leading photon and jet is examined to look for a resonant production of new particles or the presence of new high-mass states beyond the Standard Model. No significant deviation is observed in the mass distribution from the background-only hypothesis and cross section limits for generic Gaussian-shaped resonances are extracted. Excited quarks hypothesized in the quark compositeness model and high-mass states predicted in the quantum black hole models with extra dimensions are also examined in the analysis. The observed data exclude, at 95% confidence level, mass range below 5.3 TeV for the excited quarks and 7.1 TeV (4.4 TeV) for the quantum black holes with six (one) extra dimensions in the Arkani-Hamed-Dimopoulos-Dvali (Randall-Sundrum) model.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.018
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.006

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 head0.014
GPT teacher head0.249
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreDataset

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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