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Symbolic regression approximates neutron-star radii from gravitational waves

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a symbolic regression method, pySR, to approximate neutron-star radii using only gravitational-wave measurements. This approach aims to enhance multi-messenger astronomy studies by enabling comparisons between gravitational-wave data and electromagnetic observations. The method was trained on TOV solutions and tested against various equations of state, showing consistent agreement with ground truth values and achieving average radius differences of a few hundred meters. When applied to the GW170817 event, the approximation produced radius distributions comparable to previously inferred ones. AI

IMPACT This research could improve astrophysical analysis by enabling more direct comparisons between different observational channels for neutron stars.

RANK_REASON The cluster contains a research paper detailing a new method for approximating scientific measurements. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.LG →

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Symbolic regression approximates neutron-star radii from gravitational waves

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The cluster contains a research paper detailing a new method for approximating scientific measurements. [lever_c_demoted from research: ic=1 ai=0.4]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Micha{\l} Bejger ·

    Approximating neutron-star radii using gravitational-wave only measurements with symbolic regression

    arXiv:2504.19962v3 Announce Type: cross Abstract: Gravitational waves emitted by binary neutron-star inspirals carry information on components' masses and tidal deformabilities, but not directly radii, which are measured by electromagnetic observations of neutron stars. To improv…

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