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.
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3 Pith papers cite this work. Polarity classification is still indexing.
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GRB 210704A at z=2.34 shows a luminous fast blue transient excess peaking at ~7 days, modeled as refreshed shock emission and linked to LFBOTs alongside a high-Lorentz-factor jet.
Short and long-short GRB rates of 195-666 Gpc^{-3} yr^{-1} exceed the 66-347 Gpc^{-3} yr^{-1} EM-bright NS merger rate from GW observations, challenging a pure NS merger origin.
citing papers explorer
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Identifying Merger-Driven and Collapsar-Driven Gamma-Ray Bursts with Precursor based Solely on Prompt Emission
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.
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GRB 210704A: A Luminous Fast Blue Transient in a GRB Afterglow at $z = 2.34$
GRB 210704A at z=2.34 shows a luminous fast blue transient excess peaking at ~7 days, modeled as refreshed shock emission and linked to LFBOTs alongside a high-Lorentz-factor jet.
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Neutron Star Merger Rates from Multi-messenger Observations: Clues to the Physical Origin of the Short and Long-short Gamma-ray Bursts
Short and long-short GRB rates of 195-666 Gpc^{-3} yr^{-1} exceed the 66-347 Gpc^{-3} yr^{-1} EM-bright NS merger rate from GW observations, challenging a pure NS merger origin.