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Search for heavy, long-lived, charged particles with large ionisation energy loss in pp collisions at s√ \n = 13 TeV using the ATLAS experiment and the full Run 2 dataset
Bibliographic record
VenueUCL Discovery (University College London) · 2023
Typearticle
Languageen
FieldPhysics and Astronomy
TopicHigh-Energy Particle Collisions Research
Canadian institutionsnot available
FundersSLAC National Accelerator LaboratoryBrookhaven National LaboratoryHigh Energy PhysicsDivision of PhysicsJapan Society for the Promotion of ScienceNatural Sciences and Engineering Research Council of CanadaUniversity of California, IrvineCollege of Engineering, Michigan State UniversityUniversidade Federal de São João del-ReiAgencia Nacional de Investigación y DesarrolloShanghai Key Laboratory for Particle Physics and CosmologyUniversité Hassan II de CasablancaTechnische Universität DortmundUniversität InnsbruckPontificia Universidad Católica de ChileUniversity of Science and Technology of ChinaUniversidade do MinhoJulius-Maximilians-Universität WürzburgUniversity of South AfricaUniversity of the PhilippinesState Key Laboratory of Particle Detection and ElectronicsUniversidade Federal de Juiz de ForaConselho Nacional de Desenvolvimento Científico e TecnológicoSouthern Methodist UniversityUniverzita Palackého v OlomouciUniversité Paris-SaclayUniversity of JohannesburgUniversité Cadi AyyadUniversity of TsukubaNuclear PhysicsAristotle University of ThessalonikiUniversity of TorontoUniversité de GenèveUniverza v LjubljaniCentre National pour la Recherche Scientifique et TechniqueTechnion-Israel Institute of TechnologyUnited Arab Emirates UniversityUniversiteit van AmsterdamUniversité de FribourgUniversidade de CoimbraUniversidade de São PauloRoyal Holloway, University of LondonUniversidade Federal do Rio de JaneiroUniversitetet i OsloScottish Universities Physics AllianceNational Tsing Hua UniversityUniversità degli Studi di PaviaUniversità di PisaTechnische Universität DresdenMinisterstvo Školství, Mládeže a TělovýchovyUniversidad Autónoma de MadridCERNShanghai Jiao Tong UniversityMinistry of Education, IndiaHigh Energy Accelerator Research OrganizationStony Brook UniversityInstitut "Jožef Stefan"Waseda UniversitySimon Fraser UniversityConsejo Nacional de Investigaciones Científicas y TécnicasSapienza Università di RomaUniversidad de Buenos AiresCentre National de la Recherche ScientifiqueMax-Planck-GesellschaftGeorg-August-Universität GöttingenLunds UniversitetNederlandse Organisatie voor Wetenschappelijk OnderzoekStockholms UniversitetAcademia SinicaLudwig-Maximilians-Universität MünchenRadboud UniversiteitAix-Marseille UniversitéOhio State UniversityČeské Vysoké Učení Technické v PrazeNational Natural Science Foundation of ChinaFundação de Amparo à Pesquisa do Estado de São PauloAbdus Salam International Centre for Theoretical PhysicsUniversität HeidelbergAkademia Górniczo-Hutnicza im. Stanislawa StaszicaUniversity of SussexDanmarks GrundforskningsfondAlbert-Ludwigs-Universität FreiburgUniversity College LondonUniversity of GlasgowYork UniversityUniversity of Illinois at Urbana-ChampaignLouisiana Tech UniversityUniversität SiegenUniversité Mohammed VI PolytechniqueUniversité Grenoble AlpesAgencia Nacional de Promoción Científica y TecnológicaDeutsches Elektronen-SynchrotronJustus Liebig Universität GießenUniversity of OxfordUniversidad de TarapacáUniversity of WarwickUniversity of OklahomaTRIUMFInstitutul National de Cercetare-Dezvoltare pentru Fizica si Inginerie Nucleara 'Horia Hulubei'Department of Physics and Astronomy, University College LondonIsrael Science FoundationNew York University Abu DhabiInstituto Superior TécnicoBundesministerium für Bildung und ForschungMinistry of Education, Culture, Sports, Science and TechnologyUniversity of OregonUniversidad de GranadaSorbonne UniversitéKungliga Tekniska HögskolanUniversity of PittsburghIowa State UniversityUniversità degli Studi di TrentoUniversidad Nacional de La PlataMichigan State UniversityAkademie Věd České RepublikyBundesministerium für Wissenschaft, Forschung und WirtschaftSlovenská Akadémia ViedShandong UniversityTel Aviv UniversityUniversidad Técnica Federico Santa MaríaUniverzita Karlova v PrazeMcGill UniversityUniverzita Komenského v BratislaveUniversità della CalabriaHarvard UniversityQueen Mary University of LondonUniversity of WashingtonInstitut National de Physique Nucléaire et de Physique des ParticulesUniversidade de LisboaUniversitatea Transilvania din BrasovNorthern Illinois UniversityUniversità degli Studi di Napoli Federico IIUniversity of Cape TownOklahoma State UniversityAustrian Science FundUniversity of Pennsylvania
KeywordsLarge Hadron ColliderCharged particleAtlas (anatomy)DetectorTracking (education)Atlas detectorLuminosityATLAS experimentTransverse plane
DOInot available
Abstract
No abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.759
Threshold uncertainty score0.999
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 head0.024
GPT teacher head0.268
Teacher spread0.243 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
Study designSimulation or modeling
Domainnot available
GenreEmpirical
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
Published2023
Admission routes1
Has abstractno