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The phenomenology of dynamical neutron star tides

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arxiv 1905.00012 v3 pith:K5FYEUSH submitted 2019-04-30 gr-qc astro-ph.HE

classification gr-qcastro-ph.HE
keywords staralternativedynamicalmodelneutronaccurateaddinganalysis
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We introduce a phenomenological, physically motivated, model for the effective tidal deformability of a neutron star, adding the frequency dependence (associated with the star's fundamental mode of oscillation) that comes into play during the late stages of the binary inspiral. Testing the model against alternative descriptions, we demonstrate that it provides an accurate representation of the dynamical tide up to close to merger. The simplicity of the prescription makes it an attractive alternative for a gravitational-wave data analysis implementation, facilitating an inexpensive construction of a large number of templates covering the relevant parameter space.

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Cited by 3 Pith papers

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

  1. Reaction-constrained composition \(g\)-modes in neutron stars with antikaon condensates, hyperons, and \(\Delta(1232)\) resonances

    astro-ph.HE 2026-07 conditional novelty 7.0 of 10

    Antikaon condensates create a distinct composition g-mode that survives fast kaon equilibration, while strong Delta equilibration suppresses the Delta-driven mode except where a frozen Lambda gradient survives.

  2. The error budget of binary neutron star merger simulations for configurations with high spin

    gr-qc 2025-06 accept novelty 6.0 of 10

    For highly spinning (chi=0.5) binary neutron stars, evolution code choice is the largest numerical waveform error, and current analytical models disagree with numerical relativity beyond that error after the stars touch.

  3. 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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