A contrastive self-supervised convolutional autoencoder detects core-collapse supernova gravitational waves with performance comparable to supervised CNNs, better generalization to unseen waveforms, and ~120 kpc sensitive distance under Einstein Telescope noise.
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The LIGO and Virgo collaborations have released the gravitational-wave strain time series data from O1 and O2 observing runs, sampled at 16384 Hz, together with data-quality information through the Gravitational Wave Open Science Center.
GWTC-3 catalogs 90 compact binary coalescence events with p_astro > 0.5 from LIGO and Virgo's first three observing runs, including the first confident neutron star-black hole binaries.
citing papers explorer
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Contrastive self-supervised convolutional autoencoder for core-collapse supernova gravitational-wave detection
A contrastive self-supervised convolutional autoencoder detects core-collapse supernova gravitational waves with performance comparable to supervised CNNs, better generalization to unseen waveforms, and ~120 kpc sensitive distance under Einstein Telescope noise.
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Open data from the first and second observing runs of Advanced LIGO and Advanced Virgo
The LIGO and Virgo collaborations have released the gravitational-wave strain time series data from O1 and O2 observing runs, sampled at 16384 Hz, together with data-quality information through the Gravitational Wave Open Science Center.
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GWTC-3: Compact Binary Coalescences Observed by LIGO and Virgo During the Second Part of the Third Observing Run
GWTC-3 catalogs 90 compact binary coalescence events with p_astro > 0.5 from LIGO and Virgo's first three observing runs, including the first confident neutron star-black hole binaries.