SN 2019ujb , the SIMBAD biblio

SN 2019ujb , the SIMBAD biblio (8 results) C.D.S. - SIMBAD4 rel 1.8 - 2024.05.06CEST22:48:56


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Title First 3 Authors
2020ApJ...904...74G 17       D               1 145 ~ FLEET: a redshift-agnostic machine learning pipeline to rapidly identify hydrogen-poor superluminous supernovae. GOMEZ S., BERGER E., BLANCHARD P.K., et al.
2022ApJ...933...14H 63       D     X         2 35 28 Bumpy Declining Light Curves Are Common in Hydrogen-poor Superluminous Supernovae. HOSSEINZADEH G., BERGER E., METZGER B.D., et al.
2022ApJ...941..107G 45           X         1 238 16 Luminous Supernovae: Unveiling a Population between Superluminous and Normal Core-collapse Supernovae. GOMEZ S., BERGER E., NICHOLL M., et al.
2023ApJ...943...41C 19       D               2 71 17 The Hydrogen-poor Superluminous Supernovae from the Zwicky Transient Facility Phase I Survey. I. Light Curves and Measurements. CHEN Z.H., YAN L., KANGAS T., et al.
2023ApJ...943...42C 205       D     X C       4 55 22 The Hydrogen-poor Superluminous Supernovae from the Zwicky Transient Facility Phase I Survey. II. Light-curve Modeling and Characterization of Undulations. CHEN Z.H., YAN L., KANGAS T., et al.
2023ApJ...949..114G 19       D               1 67 3 The First Two Years of FLEET: An Active Search for Superluminous Supernovae. GOMEZ S., BERGER E., BLANCHARD P.K., et al.
2023MNRAS.524.3559C 19       D               1 56 ~ Metallicity beats sSFR: the connection between superluminous supernova host galaxy environments and the importance of metallicity for their production. CLELAND C., McGEE S.L. and NICHOLL M.
2024ApJ...961..169H 120       D       C       3 110 ~ An Extensive Hubble Space Telescope Study of the Offset and Host Light Distributions of Type I Superluminous Supernovae. HSU B., BLANCHARD P.K., BERGER E., et al.

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