Evaluating Machine Learning Models for Supernova Gravitational Wave Signal Classification

This dataset contains gravitational wave (GW) data used in our research work Abylkairov et al. (2024). The first 10,000 columns represent the gravitational wave strain D · h [cm] for the corresponding time values ranging from -993 ms to 6.9 ms, with a step size of 0.1 ms. The zero time refers to the time of core bounce. Each row within these first 10,000 columns corresponds to 864 different gravitational wave signals.

Columns 10,001 to 10,005 contain the following additional parameters:

• T/|W|: The rotational parameter.
• GR_or_GREP: Binary indicator for the signal type, where 0 denotes GR and 1 denotes GREP.
• EOS: The equation of state (EOS) model, where 0 corresponds to SFHo, 1 to LS220, 2 to HSDD2, and 3 to GShenFSU2.1.
• 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 rotational parameter, type (GR or GREP), EOS model, peak frequency, and D · ∆h.

Note: In the f_peak calculation procedure, we truncated the GW signal at 4.5 ms after the end of the core bounce (see Richers et al. (2017) for details).