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Early-time Ultraviolet and Optical Hubble Space Telescope Spectroscopy of the Type II Supernova 2022wsp
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Nebular spectra from Type Ia supernova explosion models compared to JWST observations of SN 2021aefx
Machine-learning enhanced photometric analysis of the extremely bright GRB 210822A
Camila Angulo-Valdez, Rosa L Becerra, Margarita Pereyra, Keneth Garcia-Cifuentes, Felipe Vargas, Alan M Watson, Fabio De Colle, Nissim Fraija, Nathaniel R Butler, Maria G Dainotti, Simone Dichiara, William H Lee, Eleonora Troja, Joshua S Bloom, J Jesús González, Alexander S Kutyrev, J Xavier Prochaska, Enrico Ramirez-Ruiz and Michael G Richer Monthly Notices of the Royal Astronomical Society 527(3) 8140 (2023) https://doi.org/10.1093/mnras/stad3624
SN 2019ewu: A Peculiar Supernova with Early Strong Carbon and Weak Oxygen Features from a New Sample of Young SN Ic Spectra
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Production of Very Light Elements and Strontium in the Early Ejecta of Neutron Star Mergers
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A 5 per cent measurement of the Hubble–Lemaître constant from Type II supernovae
Early-time Ultraviolet Spectroscopy and Optical Follow-up Observations of the Type IIP Supernova 2021yja
Sergiy S. Vasylyev, Alexei V. Filippenko, Christian Vogl, Thomas G. Brink, Peter J. Brown, Thomas de Jaeger, Thomas Matheson, Avishay Gal-Yam, Paolo A. Mazzali, Maryam Modjaz, Kishore C. Patra, Micalyn Rowe, Nathan Smith, Schuyler D. Van Dyk, Marc Williamson, Yi Yang, WeiKang Zheng, Asia deGraw, Ori D. Fox, Elinor L. Gates, Connor Jennings and R. Michael Rich The Astrophysical Journal 934(2) 134 (2022) https://doi.org/10.3847/1538-4357/ac7220
Spectroscopic Studies of Type Ia Supernovae Using LSTM Neural Networks
Machine-learning Application to Fermi-LAT Data: Sharpening All-sky Map and Emphasizing Variable Sources
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Dalek: A Deep Learning Emulator for TARDIS
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