Cost of inferred nuclear parameters towards the f-mode dynamical tide in binary neutron stars
Bikram Keshari Pradhan, Tathagata Ghosh, Dhruv Pathak, Debarati, Chatterjee

TL;DR
This paper assesses how neglecting f-mode dynamical tidal effects in gravitational wave models biases the inferred nuclear parameters of neutron stars, especially the nucleon effective mass, and evaluates the potential constraints from future GW observations.
Contribution
It quantifies the bias in nuclear parameter estimation caused by ignoring dynamical tides and demonstrates the sensitivity of future GW detectors in constraining these parameters.
Findings
Ignoring dynamical tides biases the nucleon effective mass estimate downward by ~6%.
Future GW observations can constrain the effective mass to within 3-5%.
Other nuclear parameters are less affected by the dynamical tide neglect.
Abstract
Gravitational Wave (GW) observations from Neutron Stars (NS) in a binary system provide an excellent scenario to constrain the nuclear parameters. The investigation of Pratten et al. (2022) has shown that the ignorance of f-mode dynamical tidal correction in the GW waveform model of the binary neutron star (BNS) system can lead to substantial bias in the measurement of NS properties and NS equations of state (EOS). In this work, we investigate the bias in the nuclear parameters resulting from the ignorance of dynamical tidal correction. In addition, this work demonstrates the sensitivity of the nuclear parameters and the estimated constraints on them from future GW observations. We infer the nuclear parameters from GW observations by describing the NS matter within the relativistic mean field model. For a population of GW events, we notice that the ignorance of dynamical tide predicts a…
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Taxonomy
TopicsPulsars and Gravitational Waves Research · Geophysics and Gravity Measurements · Gamma-ray bursts and supernovae
