Toward More Realistic Machine-Learning Inference of the Dense-Matter Equation of State from Supernova Gravitational Waves

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Authors: Akhmetali, Almat, Abylkairov, Sultan, Abdikamalov, Ernazar
Cited by: 0

Abstract

This dataset contains gravitational waves (GWs) used in our work Akhmetali et al. (2026). The first 328 columns represent the gravitational wave strain D · h [cm] for the corresponding time values ranging from -9.938 ms to 9.958 ms, with a sampling rate 16384 Hz. The zero time refers to the time of core bounce. Each row within these first 328 columns corresponds to 1332 different gravitational wave signals. Columns 329 to 333 contain the following additional parameters: Mass: Mass label from 0 to 3, corresponding to 12$M_\odot$, 15$M_\odot$ , 27$M_\odot$ , and 40$M_\odot$ . EOS: The equation of state (EOS) model label, from 1 to 6, corresponding to BHB$\Lambda\Phi$, SFHx, SFHo, GShenFSU2.1, HSDD2, and LS220. T/|W|: The rotational parameter. f_peak: The peak frequency [Hz]. D Delta h: D · ∆h [cm]. For each row (representing a single gravitational wave signal), these parameters provide information about the signal's mass, EOS model, rotational parameter, peak frequency, and D · ∆h.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
27 March 2026
Language
EN
Document type
Dataset