Yudin, A.; Kramarev, N.; Panov, I.; Ignatovskiy, A. Stripping Model for Short GRBs: The Impact of Nuclear Data. Particles2023, 6, 784-800.
Yudin, A.; Kramarev, N.; Panov, I.; Ignatovskiy, A. Stripping Model for Short GRBs: The Impact of Nuclear Data. Particles 2023, 6, 784-800.
Yudin, A.; Kramarev, N.; Panov, I.; Ignatovskiy, A. Stripping Model for Short GRBs: The Impact of Nuclear Data. Particles2023, 6, 784-800.
Yudin, A.; Kramarev, N.; Panov, I.; Ignatovskiy, A. Stripping Model for Short GRBs: The Impact of Nuclear Data. Particles 2023, 6, 784-800.
Abstract
We investigate the impact of incoming nuclear data on the predictions of the neutron star (NS) stripping model for short gamma-ray bursts. The main area to which we pay attention is the NS crust. We show that the uncertain properties of the NS equation of state can significantly influence the stripping time tstr, the main dynamical parameter of the model. Based on the known time delay (tstr≈1.7s) between the peak of the gravitational wave signal GW170817 and the detection of gamma photons from GRB170817A, we obtain new restrictions on the nuclear matter parameters, in particular, the symmetry energy slope parameter: L<114.5MeV. In addition, we study the process of nucleosynthesis in the outer and inner crusts of a low-mass NS. We show that the nucleosynthesis is strongly influenced by both the incoming nuclear data and the equation of state of the NS matter.
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