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Inference on neutron star parameters and the nuclear equation of state with RIFT, using prior EOS information

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arxiv 2407.15753 v1 pith:7SXUAONZ submitted 2024-07-22 gr-qc astro-ph.HE

Inference on neutron star parameters and the nuclear equation of state with RIFT, using prior EOS information

classification gr-qc astro-ph.HE
keywords inferenceinformationneutronnuclearpriorequationmethodparameters
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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In this paper, we present an inference method for determining neutron star parameters and constraining the nuclear equation of state (EOS) using the RIFT parameter inference engine. We incorporate externally-produced prior information about the EOS to improve the accuracy and efficiency of the inference process. We apply this method to the GW170817 event and assess its performance. Our results demonstrate the effectiveness of incorporating prior EOS information in the inference process, leading to sharper conclusions and more rapid inference on new detections. This approach has the potential to enhance our understanding of neutron stars and the nuclear EOS in future gravitational wave observations.

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    Causal convolutional neural networks reconstruct neutron star observables for static, Keplerian, and rotating configurations in about 50 milliseconds per equation of state, compared to 30 minutes with traditional RNS ...