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| PS1-12zn , the SIMBAD biblio (6 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.15CEST19:19:21 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| 2014ApJ...787..138L | 483 | D | X C | 12 | 32 | 225 | Hydrogen-poor superluminous supernovae and long-duration gamma-ray bursts have similar host galaxies. | LUNNAN R., CHORNOCK R., BERGER E., et al. | |
| 2016A&A...593A.115J | 55 | D | X | 2 | 31 | 11 | Taking stock of superluminous supernovae and long gamma-ray burst host galaxy comparison using a complete sample of LGRBs. | JAPELJ J., VERGANI S.D., SALVATERRA R., et al. | |
|
2018ApJ...852...81L |
42 | X | 1 | 32 | 93 | Hydrogen-poor superluminous supernovae from the Pan-STARRS1 Medium Deep Survey. | LUNNAN R., CHORNOCK R., BERGER E., et al. | ||
| 2018MNRAS.473.1258S | 97 | D | X | 3 | 75 | 131 | Cosmic evolution and metal aversion in superluminous supernova host galaxies. | SCHULZE S., KRUHLER T., LELOUDAS G., 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. | ||
| 2024MNRAS.535..471G | 197 | D | S X | 4 | 274 | ~ | The Type I superluminous supernova catalogue I: light-curve properties, models, and catalogue description. | GOMEZ S., NICHOLL M., BERGER E., et al. |