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Record W2080378255 · doi:10.1142/s2010194512004631

PHOTOSPHERIC THERMAL RADIATION FROM GRB COLLAPSAR JETS

2012· article· en· W2080378255 on OpenAlexfundno aff
Akira Mizuta, Shigehiro Nagataki

Bibliographic record

VenueInternational Journal of Modern Physics Conference Series · 2012
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGamma-ray bursts and supernovae
Canadian institutionsnot available
FundersCanadian Foundation for Climate and Atmospheric Sciences
KeywordsPhysicsLight curveGamma-ray burstAstrophysicsJet (fluid)LuminosityRadiationThermalThermal radiationPower lawOpticsMechanicsThermodynamics

Abstract

fetched live from OpenAlex

We have performed 2D relativistic hydrodynamic simulations of jets from a collapsar. The light curves and spectrum of the photospheric thermal radiation from ultrarelativistic gamma-ray burst (GRB) jets are calculated by the post process. At the head the jet has a dissipated region in which internal shocks can be seen and a freely expanding region follows. The freely expanding region shows a bullet like shape. The light curves continue about 100 s which corresponds to the jet injection duration. The light curves for θ v ≤ 2° show quick rise and time variability for the first phase and low and steady luminosity phase follows. The light curves for θ v ≥ 3° show slow rise and low luminosity. The spectrum below the peak energy is a power law and the index is 1 ~ 2.6 which is softer than that of single temperature plank distribution Some of them are close to the observed one, i.e., Band function.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.530
Threshold uncertainty score1.000

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.247
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

Classification

machine, unvalidated

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

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

Citations1
Published2012
Admission routes1
Has abstractyes

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