3D kinetic simulations of pre-merger binary neutron star magnetospheres predict nonthermal gamma-ray signals at ~16 MeV and fast radio burst-like radio transients from reconnecting current sheets.
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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.
citing papers explorer
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Electromagnetic Precursors to Binary Neutron Star Mergers: Kinetic Simulations of Magnetospheric Flaring
3D kinetic simulations of pre-merger binary neutron star magnetospheres predict nonthermal gamma-ray signals at ~16 MeV and fast radio burst-like radio transients from reconnecting current sheets.
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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.