A PSF-fitting pipeline extracts variability light curves for 91 SMC massive stars and finds that stochastic low-frequency variability morphology tracks HR-diagram position independently of metallicity.
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A W-Net deep learning model detects asteroids in TESS data independently of trajectory by rotating training image cubes and using adaptive normalization for data scaling.
First observational test of the hybrid ring technosignature strategy with GRB 221009A and TESS data identifies no credible signals but validates the method's feasibility for future searches.
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Binarity at LOw Metallicity (BLOeM): massive star variability revealed using a novel software tool for point-spread function fitting of TESS images
A PSF-fitting pipeline extracts variability light curves for 91 SMC massive stars and finds that stochastic low-frequency variability morphology tracks HR-diagram position independently of metallicity.
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Trajectory-Agnostic Asteroid Detection in TESS with Deep Learning
A W-Net deep learning model detects asteroids in TESS data independently of trajectory by rotating training image cubes and using adaptive normalization for data scaling.
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A TESS Test of the Hybrid Ring Strategy for Technosignature Searches Using GRB 221009A
First observational test of the hybrid ring technosignature strategy with GRB 221009A and TESS data identifies no credible signals but validates the method's feasibility for future searches.