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| SN 2018avk , the SIMBAD biblio (14 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.15CEST13:14:12 |
| Bibcode/DOI | Score |
in Title|Abstract| Keywords |
in a table | in teXt, Caption, ... | Nb occurence | Nb objects in ref |
Citations (from ADS) |
Title | First 3 Authors |
|---|---|---|---|---|---|---|---|---|---|
| 2018ATel11648....1N | 201 | T | X | 4 | 1 | ~ |
Spectroscopic classification of AT2018avk as a likely SLSN I. |
NICHOLL M., GOMEZ S., BLANCHARD P., et al. | |
|
2020ApJ...895...32F |
16 | D | 1 | 1494 | 104 | The Zwicky Transient Facility Bright Transient Survey. I. Spectroscopic classification and the redshift completeness of local galaxy catalogs. | FREMLING C., MILLER A.A., SHARMA Y., et al. | ||
|
2020ApJ...901...61L |
1853 | A | D | S X C | 44 | 27 | 32 | Four (super)luminous supernovae from the first months of the ZTF survey. | LUNNAN R., YAN L., PERLEY D.A., et al. |
| 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. | ||
| 2021MNRAS.500.5142F | 17 | D | 1 | 113 | 29 | From core collapse to superluminous: the rates of massive stellar explosions from the Palomar Transient Factory. | FROHMAIER C., ANGUS C.R., VINCENZI M., et al. | ||
| 2022RAA....22l2003S | 43 | X | 1 | 54 | 19 | The Role of Jets in Exploding Supernovae and in Shaping their Remnants. | SOKER N. | ||
| 2022ApJ...941..107G | 85 | X | 2 | 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 |
17 | D | 16 | 104 | 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 |
17 | D | 4 | 88 | 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. | ||
| 2023A&A...672A.111P | 17 | D | 1 | 106 | 1 | Supernova search with active learning in ZTF DR3. | PRUZHINSKAYA M.V., ISHIDA E.E.O., NOVINSKAYA A.K., 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. | |
| 2025ApJ...980..219K | 19 | D | 2 | 137 | ~ | The Bolometric Light-curve Modeling of 98 Type I Superluminous Supernovae Using the Magnetar- and the Circumstellar Interaction Models Reveals Surprisingly High Ejecta Masses. | KONYVES-TOTH R. | ||
| 2026ApJ...999...59B | 170 | D | X | 4 | 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. |