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Record W2167762578 · doi:10.1103/physrevlett.88.041801

Search for Gluinos and Scalar Quarks in pp¯ Collisions at s=1.8 TeV Using the Missing Energy plus Multijets Signature

2002· article· en· W2167762578 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 Letters · 2002
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsInstitute of Particle PhysicsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of CanadaIstituto Nazionale di Fisica NucleareKorea Science and Engineering FoundationNational Science CouncilAlfred P. Sloan FoundationFermilabU.S. Department of EnergySchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNational Science Foundation
KeywordsGluinoPhysicsParticle physicsCollider Detector at FermilabMissing energyScalar (mathematics)FermilabQuarkSupersymmetryNuclear physicsMinimal Supersymmetric Standard ModelLarge Hadron ColliderLeptonTevatronElectron

Abstract

fetched live from OpenAlex

We have performed a search for gluinos $(\stackrel{\ifmmode \tilde{}\else \~{}\fi{}}{g})$ and scalar quarks $(\stackrel{\ifmmode \tilde{}\else \~{}\fi{}}{q})$ in a data sample of $84{\mathrm{pb}}^{\ensuremath{-}1}$ of $p\overline{p}$ collisions at $\sqrt{s}\phantom{\rule{0ex}{0ex}}=\phantom{\rule{0ex}{0ex}}1.8\mathrm{TeV}$, recorded by the Collider Detector at Fermilab. We investigate the final state of large missing transverse energy and three or more jets, a characteristic signature in $R$-parity-conserving supersymmetric models. The analysis has been performed ``blind,'' in that the inspection of the signal region is made only after the predictions from standard model backgrounds have been calculated. Comparing the data with predictions of constrained supersymmetric models, we exclude gluino masses below $195\mathrm{GeV}{/c}^{2}$ ( $95%$ C.L.), independent of the squark mass. For the case ${m}_{\stackrel{\ifmmode \tilde{}\else \~{}\fi{}}{q}}\ensuremath{\approx}{m}_{\stackrel{\ifmmode \tilde{}\else \~{}\fi{}}{g}}$, gluino masses below $300\mathrm{GeV}{/c}^{2}$ are excluded.

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)0.000
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 score0.636
Threshold uncertainty score0.493

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 head0.034
GPT teacher head0.319
Teacher spread0.285 · 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