Algorithm for Dark Matter-Admixed Neutron Stars
Nguyen Thi Lan Anh, Peter Lott, and Quynh Lan Nguyen

TL;DR
This paper introduces Darksuite, a software extension for modeling gravitational wave signals from neutron stars containing dark matter, enabling indirect dark matter detection and neutron star equation of state studies.
Contribution
We developed Darksuite, a novel tool integrating dark matter effects into gravitational waveform simulations using two-fluid relativistic models.
Findings
Demonstrated interpolation of simulation data for binary systems
Enabled analysis of dark matter influence on gravitational waveforms
Provided a framework for future dark matter-neutron star studies
Abstract
Gravitational-wave observations provide a unique window into the fundamental nature of massive objects. In particular, neutron star equations of state have been constrained due to the success of gravitational wave observatories. Recently, the possibility of detecting dark matter-admixed Neutron stars via ground-based laser interferometry have been explored. Dark matter would impact the gravitational waveform of an inspiraling neutron star system through tidal parameters, namely the tidal deformability , incurring a phase shift to the frequency evolution of the signal. This phase shift would depend both on the percentage of dark matter within the star and its particle nature, e.g., bosonic or fermionic. Indirect detection of dark matter through admixture within neutron stars can provide insight into the neutron equation of state, as well as constraints on the density of dark…
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