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Record W2560576672 · doi:10.22323/1.174.0108

Search for supersymmetry in events with a Z boson, jets and missing energy using the JZB method

2013· article· en· W2560576672 on OpenAlexaff
Marco-Andrea Buchmann

Bibliographic record

VenueProceedings of 36th International Conference on High Energy Physics — PoS(ICHEP2012) · 2013
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsInstitute of Particle Physics
Fundersnot available
KeywordsPhysicsSupersymmetryLarge Hadron ColliderParticle physicsPhysics beyond the Standard ModelMissing energyContext (archaeology)Standard Model (mathematical formulation)LuminosityMinimal Supersymmetric Standard ModelBosonJet (fluid)Transverse massCollisionNuclear physicsLeptonAstrophysicsGauge (firearms)Computer scienceRapidity

Abstract

fetched live from OpenAlex

A search is presented for physics beyond the standard model (BSM) in events with a Z boson, jets, and missing transverse energy (E miss T ).This signature is motivated by BSM physics scenarios, including supersymmetry.The study is performed using a sample of proton-proton collision data collected at √ s = 7 TeV with the CMS experiment at the LHC, corresponding to an integrated luminosity of 4.98 fb -1 .The contributions from the dominant standard model backgrounds are estimated from data using the jet-Z balance technique.In the absence of evidence for BSM physics, we interpret the results in the context of simplified model spectra.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.040
GPT teacher head0.315
Teacher spread0.276 · 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 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
Published2013
Admission routes1
Has abstractyes

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