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Photon radiation from heavy-ion collisions in the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.gif" overflow="scroll"><mml:msqrt><mml:mrow><mml:msub><mml:mrow><mml:mi>s</mml:mi></mml:mrow><mml:mrow><mml:mi>N</mml:mi><mml:mi>N</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:msqrt><mml:mo>=</mml:mo><mml:mn>19</mml:mn><mml:mo>−</mml:mo><mml:mn>200</mml:mn><mml:mspace width="0.25em"/><mml:mtext>GeV</mml:mtext></mml:math> regime

2019· article· lv· W2914721421 on OpenAlex
Charles Gale, Sangyong Jeon, Scott McDonald, Jean-François Paquet, Chun Shen

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

VenueNuclear Physics A · 2019
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicHigh-Energy Particle Collisions Research
Canadian institutionsMcGill University
FundersNuclear PhysicsNatural Sciences and Engineering Research Council of CanadaOffice of ScienceU.S. Department of EnergyKillam TrustsCanada Council for the ArtsMinistère de l'Économie, de la Science et de l'Innovation - QuébecCompute Canada
KeywordsPhotonPhysicsScrollCollisionThermalProduction (economics)RadiationMeasure (data warehouse)IonNuclear physicsAtomic physicsDatabaseComputer scienceOpticsMeteorologyEngineeringQuantum mechanicsComputer security

Abstract

fetched live from OpenAlex

We present calculations of prompt and thermal photon production in Au-Au collisions at sNN=19−200GeV. We discuss features of the spacetime profile of the plasma relevant for electromagnetic emission. We highlight how the suppression of prompt photon production at low sNN can provide a window to measure thermal photons in low collision energies.

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)0.006
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.884
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.003
Meta-epidemiology (narrow)0.0030.006
Meta-epidemiology (broad)0.0010.006
Bibliometrics0.0020.005
Science and technology studies0.0060.005
Scholarly communication0.0060.005
Open science0.0070.006
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.6610.013

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 head0.017
GPT teacher head0.246
Teacher spread0.229 · 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