MétaCan
Menu
Back to cohort
Record W2979672586 · doi:10.22323/1.320.0014

Effects of hadronic rescattering in mini-jet production and energy loss at the LHC

2019· article· en· W2979672586 on OpenAlexafffund
S. Ryu, Scott McDonald, Chun Shen, Sangyong Jeon, Charles Gale

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicHigh-Energy Particle Collisions Research
Canadian institutionsMcGill University
FundersDeutsche ForschungsgemeinschaftCompute CanadaMcGill University
KeywordsPhysicsHadronLarge Hadron ColliderCascadeJet (fluid)Nuclear physicsHeavy ionParticle physicsEnergy (signal processing)Production (economics)PlasmaIonMechanics

Abstract

fetched live from OpenAlex

We present an extension of hybrid approach, which combines viscous hydrodynamics, particlization, jet energy loss and hadronic cascade, to describe data in the intermediate and high $p_T$ regimes. This enables us to study mini-jet production and energy loss in heavy ion collisions, in conjunction with the bulk dynamics of QGP fireball. This hybrid approach is applied for Pb-Pb collisions at the LHC with $\sqrt{s_{NN}} = 2.76\,\textrm{TeV}$, and we demonstrate that hadronic re-scatterings have significant effects on mini-jets with intermediate $p_T$.

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 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 score0.552
Threshold uncertainty score0.201

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 head0.006
GPT teacher head0.242
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations1
Published2019
Admission routes2
Has abstractyes

Explore more

Same topicHigh-Energy Particle Collisions ResearchFrench-language works237,207