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Record W7066068215

Inclusive and differential cross section measurements of $\\text{t}\\bar{\\text{t}}\\text{b}\\bar{\\text{b}}$ production in the lepton+jets channel at $\\sqrt{s} = 13\\text{ TeV}$

2024· other· en· W7066068215 on OpenAlexaff

Bibliographic record

VenueCERN Document Server (European Organization for Nuclear Research) · 2024
Typeother
Languageen
Field
Topic
Canadian institutionsInstitute of Particle Physics
FundersBundesministerium für Bildung und Forschung
KeywordsNucleofectionGestational periodTSG101DiafiltrationHyporeflexiaFusible alloyDemotion
DOInot available

Abstract

fetched live from OpenAlex

Differential cross section measurements of the associated production of top quark and b quark pairs, $\\text{t}\\bar{\\text{t}}\\text{b}\\bar{\\text{b}}$, are presented. The results are based on data from proton-proton collisions collected by the CMS detector at the LHC at a centre-of-mass energy of $\\sqrt{s} = 13\\text{ TeV}$, corresponding to an integrated luminosity of $138 \\text{ fb}^{-1}$. Four fiducial phase space regions are defined targeting distinct aspects of the $\\text{t}\\bar{\\text{t}}\\text{b}\\bar{\\text{b}}$ process. Kinematic variables are defined at the stable particle level and distributions are unfolded to the particle level through maximum likelihood fits. The cross sections are measured in the lepton+jets decay channel of the top quark pair, using events with exactly one isolated electron or muon and at least five jets. The results are compared with predictions from several event generators. The differential measurements have relative uncertainties in the range of $2\\!-\\!50\\%$, depending on the phase space and the observable.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.036
GPT teacher head0.299
Teacher spread0.263 · 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
Published2024
Admission routes1
Has abstractyes

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