ASTRAFier is a Transformer-BiLSTM-CNN model that classifies stellar variability from light curves, reporting 94.26% accuracy on Kepler data and 88.22% on TESS, then applied to 2.8 million TESS curves to release a catalog.
K., Ishitani Silva, S., et al
2 Pith papers cite this work. Polarity classification is still indexing.
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A homogeneous search of TESS Cycle 7 20-second cadence light curves identifies 73 rapid oscillators (24 white dwarfs, 31 hot subdwarfs, 18 A-F stars) with measured frequencies and amplitudes after vetting.
citing papers explorer
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ASTRAFier: A Novel and Scalable Transformer-based Stellar Variability Classifier
ASTRAFier is a Transformer-BiLSTM-CNN model that classifies stellar variability from light curves, reporting 94.26% accuracy on Kepler data and 88.22% on TESS, then applied to 2.8 million TESS curves to release a catalog.
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A Search for High Frequency Oscillations in TESS Cycle 7
A homogeneous search of TESS Cycle 7 20-second cadence light curves identifies 73 rapid oscillators (24 white dwarfs, 31 hot subdwarfs, 18 A-F stars) with measured frequencies and amplitudes after vetting.