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Record W3139437261 · doi:10.22323/1.390.0313

Search for Scalar Leptoquark Pair Production Decaying into Top-Quarks and Leptons at √s = 13 TeV with ATLAS detector

2021· article· en· W3139437261 on OpenAlexaff
V. W. S. Wong

Bibliographic record

VenueProceedings of 40th International Conference on High Energy physics — PoS(ICHEP2020) · 2021
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsUniversity of British Columbia
FundersScience and Technology Facilities Council
KeywordsPhysicsLeptonParticle physicsLeptoquarkMuonQuarkAnomalous magnetic dipole momentPair productionLarge Hadron ColliderNuclear physicsScalar (mathematics)Physics beyond the Standard ModelElectron

Abstract

fetched live from OpenAlex

This contribution presents a search for pair-produced scalar leptoquarks decaying to leptons and hadronically decaying top quarks at the LHC using 139 fb$^{-1}$ of proton$-$proton collision data collected with the ATLAS detector at $\sqrt{s}=13$ TeV. Leptoquarks are predicted by various extensions of the Standard Model to draw the similarity between the quark and lepton sectors, and they provide a promising explanation for anomalies observed in both the lepton universality tests in $B$ decays and the muon anomalous magnetic moment measurement. Searches for pair-produced scalar leptoquarks decaying into electron$-$top or muon$-$top pairs have been performed in final states with exactly two leptons. A parameterized gradient boosted decision tree approach is used to suppress the Standard Model backgrounds. No excess over the Standard Model prediction was observed. Exclusion limits on the leptoquark masses are set at 1480 GeV and 1470 GeV for the electron and muon channel, respectively.

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 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 score0.569
Threshold uncertainty score0.995

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 head0.020
GPT teacher head0.268
Teacher spread0.248 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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
Published2021
Admission routes1
Has abstractyes

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