SN 2018fd , the SIMBAD biblio

SN 2018fd , the SIMBAD biblio (6 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.15CEST05:25:30


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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.
2024ApJ...961..169H 18       D               2 110 ~ 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.
2024MNRAS.535..471G 287       D S   X         6 274 ~ 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.
2026ApJ...999...59B 120       D     X         3 34 ~ Hydrogen-poor Superluminous Supernovae in the Nebular Phase: Spectral Diversity Due to Ejecta Ionization as a Probe of the Power Source. BLANCHARD P.K., BERGER E., GOMEZ S., et al.

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