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Rapid neutron star equation of state inference with Normalising Flows

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arxiv 2403.17462 v1 pith:WA52MVIN submitted 2024-03-26 gr-qc astro-ph.HEnucl-exnucl-th

Jordan McGinn , Arunava Mukherjee , Jessica Irwin , Christopher Messenger , Michael J. Williams , Ik Siong Heng This is my paper · ORCID
classification gr-qcastro-ph.HEnucl-exnucl-th
keywords neutronstarequationstatebinaryfirstobservationsrapid
verification ladder T0 review T1 audit T2 compute T3 formal
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The first direct detection of gravitational waves from binary neutron stars on the 17th of August, 2017, (GW170817) heralded the arrival of a new messenger for probing neutron star astrophysics and provided the first constraints on neutron star equation of state from gravitational wave observations. Significant computational effort was expended to obtain these first results and therefore, as observations of binary neutron star coalescence become more routine in the coming observing runs, there is a need to improve the analysis speed and flexibility. Here, we present a rapid approach for inferring the neutron star equation of state based on Normalising Flows. As a demonstration, using the same input data, our approach, ASTREOS, produces results consistent with those presented by the LIGO-Virgo collaboration but requires < 1 sec to generate neutron star equation of state confidence intervals. Furthermore, ASTREOS allows for non-parametric equation of state inference. This rapid analysis will not only facilitate neutron star equation of state studies but can potentially enhance future alerts for electromagnetic follow-up observations of binary neutron star mergers.

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Forward citations

Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. OpenAlex reports about 3 citations worldwide. Full citation record

  1. Fast and Accurate Prediction of Neutron Star Structure with Deep Neural Networks

    astro-ph.HE 2026-08 conditional novelty 3.0 of 10

    Feedforward and residual neural networks predict neutron star observables from piecewise polytropic EOS parameters with R^2>0.999 and a ~200x speedup over direct TOV integration.

  2. A White Paper on The Multi-Messenger Science Landscape in India

    astro-ph.HE 2025-05 unverdicted novelty 1.0 of 10

    No new scientific result is presented; the document reviews multi-messenger science and recommends a national coordination center linking Indian gravitational wave, electromagnetic, cosmic ray, and neutrino facilities.

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