A hierarchical Bayesian approach with multivariate Gaussian population prior reduces bias in demographic inference of SN Ia power-law rise parameters compared to individual fitting.
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5 Pith papers cite this work. Polarity classification is still indexing.
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2026 5representative citing papers
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.
SCAT DR1 delivers 1810 spectra of 1330 transients with classifications, fitted light curves, new redshifts for many host galaxies, and host properties as a testbed for photometric classification pipelines.
SN 2019vxm is a luminous, long-lived Type IIn supernova showing early flash-ionization features, a power-law bolometric light curve, and mid-IR dust formation, with a progenitor mass-loss rate lower limit of at least 0.01 solar masses per year.
Seyfert 2 galaxies show detectable optical variability, enabling estimates of scattering region sizes consistent with the obscuring torus via amplitude matching to Seyfert 1s.
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SCAT Data Release 1: 1810 optical spectra of 1330 transients
SCAT DR1 delivers 1810 spectra of 1330 transients with classifications, fitted light curves, new redshifts for many host galaxies, and host properties as a testbed for photometric classification pipelines.