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Numerical studies on core collapse supernova in self-interacting massive scalar-tensor gravity

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arxiv 1812.04835 v2 pith:YMPZ4RNE submitted 2018-12-12 gr-qc astro-ph.HE

classification gr-qcastro-ph.HE
keywords self-interactioncollapsecoregravitational-wavescalar-tensorfieldmassivemonopole
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We investigate stellar core collapse in scalar-tensor theory with a massive self-interacting scalar field. In these theories, strong long-lived inverse chirp signals could be induced during the stellar core collapse, which provides us with several potential smoking-gun signatures that could be found using current ground-based detectors. We show that the existence of self-interaction in the potential of the scalar field can significantly suppress spontaneous scalarization and the amplitude of the monopole gravitational-wave radiation. Moreover, this suppression due to self-interaction is frequency dependent and may be discernible in LIGO/Virgo's sensitive band. Therefore, self-interaction should be considered when constraining scalar-tensor coupling parameters with gravitational-wave detections. Alternatively, if such monopole gravitational-wave signals are detected, then one may be able to infer the presence of self-interaction.

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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. Axisymmetric stability of neutron stars as extreme rotators in massive scalar-tensor theory

    gr-qc 2025-02 conditional novelty 6.0 of 10

    Differentially rotating scalarized neutron stars with enormous angular momentum are axisymmetrically stable up to the turning point of their mass sequence, beyond which they collapse to black holes, confirming the tur...

  2. SACRA-2D: New axisymmetric general relativistic hydrodynamics code with fixed mesh refinement

    astro-ph.HE 2025-02 conditional novelty 6.0 of 10

    SACRA-2D is a new axisymmetric relativistic hydrodynamics code with the HLLC solver and adaptive mesh refinement, validated by benchmarks showing improved accuracy over the TVDLF solver.

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