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pith:P3V3FLL6

pith:2026:P3V3FLL65JNATELOLKOM7Z2HZG
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Identifying Merger-Driven and Collapsar-Driven Gamma-Ray Bursts with Precursor based Solely on Prompt Emission

Bing Zhang, Fu-Wen Zhang, Hui-Ying Deng, Pak-Hin Thomas Tam, Si-Yuan Zhu

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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4 Citations open
5 Replications open
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Claims

C1strongest claim

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.

C2weakest assumption

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.

C3one line summary

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

78 extracted · 74 resolved · 2 Pith anchors

[1] 2017, PhRvL, 119, 161101, doi: 10.1103/PhysRevLett.119.161101 2017 · doi:10.1103/physrevlett.119.161101
[2] P., & Anand, S 2021 · doi:10.1038/s41550-021-01428-7
[3] 2002, A&A, 390, 81, doi: 10.1051/0004-6361:20020722 Astropy Collaboration, Robitaille, T 2002 · doi:10.1051/0004-6361:20020722
[4] Band, D. L. 1997, ApJ, 486, 928, doi: 10.1086/304566 1997 · doi:10.1086/304566
[5] Cheng, L. X., Ma, Y. Q., Cheng, K. S., Lu, T., & Zhou, Y. Y. 1995, A&A, 300, 746 1995
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

arxiv: 2604.19182 · arxiv_version: 2604.19182v1 · doi: 10.48550/arxiv.2604.19182 · pith_short_12: P3V3FLL65JNA · pith_short_16: P3V3FLL65JNATELO · pith_short_8: P3V3FLL6
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/P3V3FLL65JNATELOLKOM7Z2HZG \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 7eebb2ad7eea5a09916e5a9ccfe747c98ddf40eb6eb5b957775cf1469c9f5a71
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "958eff43e8f9474e31b50e2d3ae2e1b179efafde28cd3b29f8c7042c7ebf182a",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "astro-ph.HE",
    "submitted_at": "2026-04-21T07:47:12Z",
    "title_canon_sha256": "45afbf1e28e472f86f1d3fdaff73cf6f667cfd3cc4ecfd61258a7cfc5b059706"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.19182",
    "kind": "arxiv",
    "version": 1
  }
}