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20232026
most citedKilonova Light-Curve Interpolation with Neural Networks

6 citations · 18 across the 6 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

astro-ph.HE2024★ 1 cited

Blast: a Web Application for Characterizing the Host Galaxies of Astrophysical Transients

D. O. Jones, P. McGill, T. A. Manning +14

Characterizing the host galaxies of astrophysical transients is important to many areas of astrophysics, including constraining the progenitor systems of core-collapse supernovae,…

astro-ph.GA2024★ 4 cited

Joint Modeling of Quasar Variability and Accretion Disk Reprocessing using Latent Stochastic Differential Equations

Joshua Fagin, James Hung-Hsu Chan, Henry Best +5

Quasars are bright active galactic nuclei powered by the accretion of matter around supermassive black holes at the center of galaxies. Their stochastic brightness variability depe…

astro-ph.HE2024★ 1 cited

Maven: A Multimodal Foundation Model for Supernova Science

Gemma Zhang, Thomas Helfer, Alexander T. Gagliano +2

A common setting in astronomy is the availability of a small number of high-quality observations, and larger amounts of either lower-quality observations or synthetic data from sim…

astro-ph.HE2024★ 3 cited

Superphot+: Realtime Fitting and Classification of Supernova Light Curves

Kaylee M. de Soto, Ashley Villar, Edo Berger +9

Photometric classifications of supernova (SN) light curves have become necessary to utilize the full potential of large samples of observations obtained from wide-field photometric…

astro-ph.HE2024★ 6 cited

Kilonova Light-Curve Interpolation with Neural Networks

Yinglei Peng, Marko Ristić, Atul Kedia +7

Kilonovae are the electromagnetic transients created by the radioactive decay of freshly synthesized elements in the environment surrounding a neutron star merger. To study the fun…