MétaCan
Menu
Back to cohort
Record W4412259943

Measurements of normalized differential cross sections for t ¯ t production in p p collisions at √ ( s ) = 7     TeV using the ATLAS detector

2014· article· en· W4412259943 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.

Bibliographic record

VenueAmericanae (AECID Library) · 2014
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle Detector Development and Performance
Canadian institutionsInstitute of Particle Physics
Fundersnot available
KeywordsAtlas detectorAtlas (anatomy)PhysicsNuclear physicsDetectorDifferential (mechanical device)Particle physicsProduction (economics)Large Hadron ColliderGeologyOpticsEconomics
DOInot available

Abstract

fetched live from OpenAlex

Measurements of normalized differential cross-sections for top-quark pair production are presentedas a function of the top-quark transverse momentum, and of the mass, transverse momentum, and√rapidity of the t t ̄ system, in proton?proton collisions at a center-of-mass energy of s = 7 TeV . Thedataset corresponds to an integrated luminosity of 4.6 fb −1 , recorded in 2011 with the ATLAS detectorat the CERN Large Hadron Collider. Events are selected in the lepton+jets channel, requiring exactlyone lepton and at least four jets with at least one of the jets tagged as originating from a b -quark.The measured spectra are corrected for detector efficiency and resolution effects and are comparedto several Monte Carlo simulations and theory calculations. The results are in fair agreement withthe predictions in a wide kinematic range. Nevertheless, data distributions are softer than predictedfor higher values of the mass of the t t ̄ system and of the top-quark transverse momentum. Themeasurements can also discriminate among different sets of parton distribution functions.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.556
Threshold uncertainty score0.410

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 head0.027
GPT teacher head0.264
Teacher spread0.237 · 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