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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A pedagogical introduction to GR starting from the weak-field limit, deriving Einstein's equations, and applying them to black holes, gravitational waves, and cosmology.
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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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A short course in general relativity
A pedagogical introduction to GR starting from the weak-field limit, deriving Einstein's equations, and applying them to black holes, gravitational waves, and cosmology.