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| PTF 10bfz , the SIMBAD biblio (18 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.15CEST21:04:27 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| 2010ApJ...721..777A | 15 | D | 1 | 82 | 160 | Core-collapse supernovae from the Palomar transient factory: indications for a different population in dwarf galaxies. | ARCAVI I., GAL-YAM A., KASLIWAL M.M., et al. | ||
| 2013ApJ...773...12S | 15 | D | 1 | 73 | 32 | Probing the low-redshift star formation rate as a function of metallicity through the local environments of type II supernovae. | STOLL R., PRIETO J.L., STANEK K.Z., et al. | ||
| 2016A&A...593A.115J | 16 | D | 1 | 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. | ||
|
2016ApJ...830...13P |
96 | D | S | 6 | 42 | 174 | Host-galaxy properties of 32 low-redshift superluminous supernovae from the Palomar transient factory. | PERLEY D.A., QUIMBY R.M., YAN L., et al. | |
| 2018ApJ...855....2Q | 740 | D | X C | 18 | 63 | 93 | Spectra of hydrogen-poor superluminous supernovae from the Palomar Transient Factory. | QUIMBY R.M., DE CIA A., GAL-YAM A., et al. | |
|
2018ApJ...860..100D |
18 | D | 3 | 41 | 119 | Light curves of hydrogen-poor superluminous supernovae from the Palomar Transient Factory. | DE CIA A., GAL-YAM A., RUBIN A., et al. | ||
| 2018ApJ...869..166V | 16 | D | 2 | 58 | 6 | Superluminous supernovae in LSST: rates, detection metrics, and light-curve modeling. | VILLAR V.A., NICHOLL M. and BERGER E. | ||
| 2020A&A...634A.107Y | 16 | D | 2 | 144 | 39 | Present-day mass-metallicity relation for galaxies using a new electron temperature method. | YATES R.M., SCHADY P., CHEN T.-W., et al. | ||
| 2020ApJ...897..114B | 16 | D | 1 | 67 | ~ | The pre-explosion mass distribution of hydrogen-poor superluminous supernova progenitors and new evidence for a mass-spin correlation. | BLANCHARD P.K., BERGER E., NICHOLL M., 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. | ||
| 2020A&A...643A..47O | 58 | D | X | 2 | 93 | ~ | The interacting nature of dwarf galaxies hosting superluminous supernovae. | ORUM S.V., IVENS D.L., STRANDBERG P., 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. | ||
| 2021ApJ...909...24K | 17 | D | 1 | 93 | ~ | Photospheric velocity gradients and ejecta masses of hydrogen-poor superluminous supernovae: proxies for distinguishing between fast and slow events. | KONYVES-TOTH R. and VINKO J. | ||
|
2021MNRAS.503.3931T |
17 | D | 1 | 248 | 41 | Core-collapse, superluminous, and gamma-ray burst supernova host galaxy populations at low redshift: the importance of dwarf and starbursting galaxies. | TAGGART K. and PERLEY D.A. | ||
|
2021ApJS..255...29S |
17 | D | 1 | 893 | 63 | The Palomar Transient Factory core-collapse supernova host-galaxy sample. I. Host-galaxy distribution functions and environment dependence of core-collapse supernovae. | SCHULZE S., YARON O., SOLLERMAN J., 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 | 1 | 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 | 152 | D | S X | 3 | 274 | ~ | The Type I superluminous supernova catalogue I: light-curve properties, models, and catalogue description. | GOMEZ S., NICHOLL M., BERGER E., et al. |