SN 2019itq , the SIMBAD biblio

SN 2019itq , the SIMBAD biblio (5 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.15CEST18:50:10


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Title First 3 Authors
2020ApJ...904...74G 16       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...941..107G 43           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...949..114G 61       D     X         2 67 3 The First Two Years of FLEET: An Active Search for Superluminous Supernovae. GOMEZ S., BERGER E., BLANCHARD P.K., et al.
2024MNRAS.535..471G 242       D S   X         5 274 ~ The Type I superluminous supernova catalogue I: light-curve properties, models, and catalogue description. GOMEZ S., NICHOLL M., BERGER E., et al.
2025MNRAS.541.2674A 19       D               1 60 ~ The Type I superluminous supernova catalogue - II. Spectroscopic evolution in the photospheric phase, velocity measurements, and constraints on diversity. AAMER A., NICHOLL M., GOMEZ S., et al.

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