pith:P3V3FLL6
Identifying Merger-Driven and Collapsar-Driven Gamma-Ray Bursts with Precursor based Solely on Prompt Emission
A new prompt-emission index separates merger-driven from collapsar-driven gamma-ray bursts with precursors.
arxiv:2604.19182 v1 · 2026-04-21 · astro-ph.HE
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Claims
Applying the unsupervised machine learning methods t-SNE and UMAP, we are able to distinguish Type I (including subclass Type I-L) and Type II GRBs for the first time and identify PE as a key feature for distinguishing GRBs of different origins. ... most Type I GRBs have EPI > 6.2 and most Type II GRBs have EPI < 6.2.
That the unsupervised clusters produced by t-SNE and UMAP on the Fermi sample correspond to the true physical progenitor classes, and that the specific functional form and 6.2 threshold of EPI generalize to other instruments and to the full GRB population without significant selection bias.
Machine learning on precursor emission in 366 GRBs yields a simple prompt-only index EPI that separates merger-driven from collapsar-driven bursts at a threshold of 6.2.
References
Receipt and verification
| First computed | 2026-05-22T01:04:02.731176Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7eebb2ad7eea5a09916e5a9ccfe747c98ddf40eb6eb5b957775cf1469c9f5a71
Aliases
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Verify this Pith Number yourself
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Canonical record JSON
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