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◆ The Open Journal of Astrophysics2026-02-20· Physics

Ultra-long Gamma-ray Bursts from Micro-Tidal Disruption Events: The Case of GRB 250702B

Paz Beniamini, Hagai B. Perets, Jonathan Granot

原始摘要(英文原文)· Original abstract
Ultra-long gamma-ray bursts (ULGRBs), a rare class of high-energy transients with durations > 10 3 s, remain poorly understood. GRB 250702B is notable for its multi-hour prompt emission, an X-ray pre-peak emission starting ~1 day earlier, off-nuclear host position, and hard, rapidly variable gamma-rays. This combination is difficult to explain with standard ULGRB progenitors such as blue-supergiant collapsars, magnetar engines, or white-dwarf tidal disruptions by intermediate-mass black holes. We interpret the event as a micro-tidal disruption event ( μ TDE), where a stellar-mass black hole or neutron star partially or fully disrupts a main-sequence star. Three μ TDE pathways can reproduce the observed pre-peak emission to main flare delay: (i) a dynamical (partial/repeating) disruption, in which a grazing passage yields a faint precursor and the core returns after ∼ day for a deeper encounter; (ii) a natal-kick disruption, where the delay reflects the ballistic motion of a newborn compact object relative to its companion, leading to full disruption; and (iii) a hybrid natal-kick + partial case, in which the kick seeds the close encounter but the first passage is only partial, with the core returning on the day-scale period. Cross-section scalings imply comparable rates for partial and full outcomes in both dynamical and natal-kick scenarios. The highly variable, hard γ -ray emission supports association with a stellar-mass compact object. Fallback and viscous accretion naturally explain the ultra-long duration, energetics, and ks-scale X-ray variability. We outline observational discriminants between the three channels and argue that μ TDEs offer a compelling framework for ULGRBs such as GRB 250702B.
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Ultra-long Gamma-ray Bursts from Micro-Tidal Disruption Events: The Case of GRB 250702B — 科研速览 Science Skim