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Record W2962867472 · doi:10.22323/1.358.0196

Gamma-Ray Bursts as Sources of Ultra-High Energy Cosmic Rays across the Ankle

2019· article· en· W2962867472 on OpenAlex
Daniel Biehl, Denise Boncioli, Anatoli Fedynitch, J. Heinze, Annika Rudolph, Walter Winter

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

VenueProceedings of 36th International Cosmic Ray Conference — PoS(ICRC2019) · 2019
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGamma-ray bursts and supernovae
Canadian institutionsUniversity of Alberta
FundersEuropean Commission
KeywordsPhysicsNeutrinoCosmic rayGamma-ray burstLuminosityAstrophysicsCascadePopulationEvent (particle physics)Nuclear physicsGalaxy

Abstract

fetched live from OpenAlex

The origin of Ultra-High Energy Cosmic Rays (UHECRs) is still unknown. Gamma-Ray Bursts (GRBs) are considered as potential sources as they belong to the most energetic events observed to date. However, conventional GRB scenarios are strongly constrained by the non-observation of associated astrophysical neutrinos. On the other hand, hidden accelerators such as low-luminosity GRBs (LLGRBs) can ameliorate the constraints. We show that the population of LLGRBs is not only consistent with current constraints, but can even describe the UHECR spectrum and composition across the ankle as well as neutrino data simultaneously. We explicitly compute the nuclear cascade in the source and stress that the sub-ankle component is directly related to nucleon and neutrino production in the nuclear cascade. We deduce source properties such as the baryonic loading or the cosmological event rate. Further, we study the impact of multi-zone models compared to the one-zone approach and how different collision dynamics change the predictions of GRB models.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.514
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.246
Teacher spread0.234 · 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