A gamma-ray burst remnant in our Galaxy : HESS J1303-631
Bibliographic record
Abstract
The H.E.S.S. (High Energy Stereoscopic System) collaboration recently reported the discovery of a bright and extended TeV gamma-ray source HESS J1303-631, which remains notably silent in all other wavebands, and is the second of an emerging class of unidentified TeV sources serendipitously discovered in the Galactic plane. Here we present the results of our investigation of the multiwavelength data on HESS J1303-631 which strongly suggest its identification as the remnant of a Gamma-Ray Burst (GRB) in our own Galaxy. Long GRBs are thought to originate from the collapse of the cores of evolved very massive stars into black holes producing narrow relativistic outflows pointed to the Earth. We show that the unique power of GRBs and the specific characteristics of relativistic shock acceleration produce GRB remnants (GRBRs), large nebulae that brightly glow in TeV gamma-rays while hardly emitting at longer wavelengths. We predict spectral and spatial signatures that unambiguously distinguish GRBRs from ordinary supernova remnants, including: large energy budgets inferred from their TeV emission but suppressed fluxes in the radio through GeV wavebands; extended centre-filled emission with an energy-dependent spatial profile; and a possible elongation in the direction of the GRB jets. GRBRs can best be identified by ground-based gamma-ray detectors, with the future GLAST mission playing a crucial role in confirming the predicted low level of GeV emission.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".