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Record W4283757572 · doi:10.1007/jhep06(2022)154

Magnetising the $$ \mathcal{N} $$ = 4 Super Yang-Mills plasma

2022· article· en· W4283757572 on OpenAlexaff
Alfonso Ballon-Bayona, Jonathan P. Shock, Dimitrios Zoakos

Bibliographic record

VenueJournal of High Energy Physics · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicBlack Holes and Theoretical Physics
Canadian institutionsInstitut National de la Recherche Scientifique
FundersHellenic Foundation for Research and InnovationConselho Nacional de Desenvolvimento Científico e TecnológicoGeneral Secretariat for Research and TechnologyCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsPhysicsPlasmaConformal mapAnisotropyBraneQuark–gluon plasmaMathematical physicsMagnetizationGibbs free energyCauchy stress tensorMagnetic fieldThermodynamicsQuantum mechanicsGeometry

Abstract

fetched live from OpenAlex

Abstract We investigate the thermodynamics of the anisotropic magnetic AdS5 black brane solution found by D’Hoker and Kraus [1]. This solution is the gravity dual of a strongly coupled $$ \mathcal{N} $$ N = 4 Super Yang-Mills plasma in ℝ3, 1, with temperature T, in the presence of a magnetic field $$ \mathcal{B} $$ B . Following the procedure of holographic renormalisation we calculate the Gibbs free energy and the holographic stress tensor of the conformal plasma. We evaluate several thermodynamic quantities including the magnetisation, the anisotropic pressures and the speeds of sound. Our results are consistent with an RG flow from a perturbed AdS5 black brane at small $$ \mathcal{B} $$ B /T2 to a BTZ × ℝ2 black brane at large $$ \mathcal{B} $$ B /T2. We also perform a phenomenological analysis where we compare the thermodynamics of a magnetised conformal plasma against the lattice QCD results for the thermodynamics of the magnetised quark-gluon plasma.

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)0.000
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 score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.003
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.199
Teacher spread0.193 · 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

Citations13
Published2022
Admission routes1
Has abstractyes

Explore more

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