PTF 10bfz , the SIMBAD biblio

PTF 10bfz , the SIMBAD biblio (16 results) C.D.S. - SIMBAD4 rel 1.8 - 2024.04.16CEST08:11:31

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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 16       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 viz 100       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 758       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 viz 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 17       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 17       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 17       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 60       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.
2021ApJS..255...29S viz 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 45           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 20       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.

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