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Record W4412282213

Searches for squark- and gluino-production in hadronic final states with the ATLAS detector

2016· article· en· W4412282213 on OpenAlexaff
Geert-Jan Besjes

Bibliographic record

VenueResearch at the University of Copenhagen (University of Copenhagen) · 2016
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsInstitute of Particle Physics
Fundersnot available
KeywordsGluinoAtlas detectorHadronParticle physicsAtlas (anatomy)Nuclear physicsPhysicsDetectorProduction (economics)Large Hadron ColliderEnvironmental scienceGeologyEconomicsOptics
DOInot available

Abstract

fetched live from OpenAlex

Weak-scale supersymmetry is one of the best motivated and studied extensions of the Standard Model. The recent increase in the centre-of-mass energy of proton-proton collisions at the Large Hadron Collider gives a unique opportunity to extend the sensitivity to production of supersymmetric particles. We present several ATLAS results on searches for supersymmetric squarks and gluinos, including third generation squarks produced directly or via the decay of gluinos. The searches involve final states containing jets (possibly identified as coming from b-quarks), missing transverse momentum and no leptons. They are performed on 3:2fb-1 proton-proton data collected in 2015 at √s = 13TeV. The limits obtained in these searches extend the ones obtained during Run-1 of the LHC significantly.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.038
GPT teacher head0.268
Teacher spread0.230 · 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 designObservational
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
Published2016
Admission routes1
Has abstractyes

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