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Impact of the nuclear symmetry energy on the post-merger phase of a binary neutron star coalescence

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arxiv 2107.06804 v1 pith:TP75U5JV submitted 2021-07-14 astro-ph.HE gr-qcnucl-th

classification astro-ph.HEgr-qcnucl-th
keywords neutronnuclearenergysymmetrypost-mergerslopestarbinary
verification ladder T0 review T1 audit T2 compute T3 formal
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The nuclear symmetry energy plays a key role in determining the equation of state of dense, neutron-rich matter, which governs the properties of both terrestrial nuclear matter as well as astrophysical neutron stars. A recent measurement of the neutron skin thickness from the PREX collaboration has lead to new constraints on the slope of the nuclear symmetry energy, L, which can be directly compared to inferences from gravitational-wave observations of the first binary neutron star merger inspiral, GW170817 In this paper, we explore a new regime for potentially constraining the slope, L, of the nuclear symmetry energy with future gravitational wave events: the post-merger phase a binary neutron star coalescence. In particular, we go beyond the inspiral phase, where imprints of the slope parameter L may be inferred from measurements of the tidal deformability, to consider imprints on the post-merger dynamics, gravitational wave emission, and dynamical mass ejection. To this end, we perform a set of targeted neutron star merger simulations in full general relativity using new finite-temperature equations of state, which systematically vary L. We find that the post-merger dynamics and gravitational wave emission are mostly insensitive to the slope of the nuclear symmetry energy. In contrast, we find that dynamical mass ejection contains a weak imprint of L, with large values of L leading to systematically enhanced ejecta.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. From Multimessenger Inference to Simulations: A Ranked Ensemble of Finite-Temperature Equations of State

    astro-ph.HE 2026-08 conditional novelty 7.0 of 10

    The paper constructs a 12-member ensemble of finite-temperature neutron star equations of state that spans the posterior from multimessenger and nuclear-physics constraints and releases simulation-ready tables.

  2. TTE-CAM: Self-Explainable Class Activation Maps for Pretrained Black-Box CNNs

    cs.CV 2026-03 unverdicted novelty 5.0 of 10

    A test-time convolution-head replacement converts pretrained CNNs into self-explainable models that keep black-box accuracy and produce faithful class activation maps.

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