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PS1-14bj , the SIMBAD biblio (45 results) | C.D.S. - SIMBAD4 rel 1.8 - 2024.04.25CEST11:34:51 |
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 |
---|---|---|---|---|---|---|---|---|---|
2016ApJ...828L..18N | 49 | X | 1 | 9 | 85 | Superluminous supernova SN 2015bn in the nebular phase: evidence for the engine-powered explosion of a stripped massive star. | NICHOLL M., BERGER E., MARGUTTI R., et al. | ||
2016ApJ...831...79I | 44 | X | 1 | 11 | 49 | Spectropolarimetry of superluminous supernovae: insight into their geometry. | INSERRA C., BULLA M., SIM S.A., et al. | ||
2016ApJ...831..144L | 4017 | T K A | D | S X C | 98 | 14 | 54 |
PS1-14bj: a hydrogen-poor superluminous supernova with a long rise and slow decay. |
LUNNAN R., CHORNOCK R., BERGER E., et al. |
2017ApJ...835...13J | 85 | X | 2 | 22 | 99 | Long-duration superluminous supernovae at late times. | JERKSTRAND A., SMARTT S.J., INSERRA C., et al. | ||
2017MNRAS.466.1428G | 247 | X | 6 | 11 | 38 | The unexpected, long-lasting, UV rebrightening of the superluminous supernova ASASSN-15lh. | GODOY-RIVERA D., STANEK K.Z., KOCHANEK C.S., et al. | ||
2017ApJ...840...12Y | 17 | D | 3 | 38 | 51 | A statistical study of superluminous supernovae using the magnetar engine model and implications for their connection with gamma-ray bursts and hypernovae. | YU Y.-W., ZHU J.-P., LI S.-Z., et al. | ||
2017ApJ...842...26L | 341 | D | X C | 8 | 26 | 23 | A Monte Carlo approach to magnetar-powered transients. I. Hydrogen-deficient superluminous supernovae. | LIU L.-D., WANG S.-Q., WANG L.-J., et al. | |
2017MNRAS.468.4642I | 448 | X F | 10 | 35 | 37 | Complexity in the light curves and spectra of slow-evolving superluminous supernovae. | INSERRA C., NICHOLL M., CHEN T.-W., et al. | ||
2017ApJ...848....6Y | 44 | X | 1 | 23 | 91 | Hydrogen-poor superluminous supernovae with late-time Hα emission: three events from the intermediate Palomar Transient Factory. | YAN L., LUNNAN R., PERLEY D.A., et al. | ||
2017ApJ...850...55N | 223 | D | X | 6 | 41 | 176 | The magnetar model for Type I superluminous supernovae. I. Bayesian analysis of the full multicolor light-curve sample with MOSFiT. | NICHOLL M., GUILLOCHON J. and BERGER E. | |
2017ApJ...851...54W | 41 | X | 1 | 21 | 10 | A Monte Carlo approach to magnetar-powered transients. II. Broad-lined Type Ic supernovae not associated with GRBs. | WANG L.J., CANO Z., WANG S.Q., et al. | ||
2017ApJ...851...95S | 17 | D | 1 | 24 | 24 | Magnetar-powered superluminous supernovae must first be exploded by jets. | SOKER N. and GILKIS A. | ||
2018ApJ...852...81L | 677 | D | X C | 16 | 32 | 93 | Hydrogen-poor superluminous supernovae from the Pan-STARRS1 Medium Deep Survey. | LUNNAN R., CHORNOCK R., BERGER E., et al. | |
2018ApJ...853...57B | 43 | X | 1 | 27 | 66 | Gaia17biu/SN 2017egm in NGC 3191: the closest hydrogen-poor superluminous supernova to date is in a "normal," massive, metal-rich spiral galaxy. | BOSE S., DONG S., PASTORELLO A., et al. | ||
2018MNRAS.474..573O | 42 | X | 1 | 9 | 16 | Radio emission from embryonic superluminous supernova remnants. | OMAND C.M.B., KASHIYAMA K. and MURASE K. | ||
2018ApJ...854..175I | 346 | D | X C | 8 | 48 | 19 | A statistical approach to identify superluminous supernovae and probe their diversity. | INSERRA C., PRAJS S., GUTIERREZ C.P., et al. | |
2018A&A...611A..45R | 123 | X | 3 | 47 | 13 | Search for γ-ray emission from superluminous supernovae with the Fermi-LAT. | RENAULT-TINACCI N., KOTERA K., NERONOV A., et al. | ||
2018ApJ...860..100D | 43 | X | 1 | 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...864...45M | 429 | D | S X C | 9 | 37 | 58 | Results from a systematic survey of X-ray emission from hydrogen-poor superluminous SNe. | MARGUTTI R., CHORNOCK R., METZGER B.D., et al. | |
2018ApJ...866L..24N | 42 | X | 1 | 11 | 12 | One thousand days of SN2015bn: HST imaging shows a light curve flattening consistent with magnetar predictions. | NICHOLL M., BLANCHARD P.K., BERGER E., et al. | ||
2018ApJ...867..113M | 16 | D | 2 | 37 | 11 | Systematic investigation of the fallback accretion-powered model for hydrogen-poor superluminous supernovae. | MORIYA T.J., NICHOLL M. and GUILLOCHON J. | ||
2018ApJ...869..166V | 16 | D | 1 | 58 | 6 | Superluminous supernovae in LSST: rates, detection metrics, and light-curve modeling. | VILLAR V.A., NICHOLL M. and BERGER E. | ||
2019ApJ...871..102N | 44 | X | 1 | 20 | 55 | Nebular-phase spectra of superluminous supernovae: physical insights from observational and statistical properties. | NICHOLL M., BERGER E., BLANCHARD P.K., et al. | ||
2019A&A...621A.141D | 44 | X | 1 | 16 | 33 | Simulations of light curves and spectra for superluminous Type Ic supernovae powered by magnetars. | DESSART L. | ||
2019MNRAS.484.3451M | 42 | X | 1 | 7 | 2 | The nature of PISN candidates: clues from nebular spectra. | MAZZALI P.A., MORIYA T.J., TANAKA M., et al. | ||
2019ApJ...874...68C | 17 | D | 1 | 32 | 1 | A systematic study of superluminous supernova light-curve models using clustering. | CHATZOPOULOS E. and TUMINELLO R. | ||
2019ApJ...881...87G | 126 | X C | 2 | 20 | 27 | SN 2016iet: the pulsational or pair instability explosion of a low-metallicity massive CO core embedded in a dense hydrogen-poor circumstellar medium. | GOMEZ S., BERGER E., NICHOLL M., et al. | ||
2020ApJ...892...28K | 85 | X | 2 | 20 | ~ | SN 2010kd: photometric and spectroscopic analysis of a slow-decaying superluminous supernova. | KUMAR A., PANDEY S.B., KONYVES-TOTH R., 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...901...61L | 171 | X | 4 | 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 | 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. | ||
2021ApJ...909...24K | 17 | D | 2 | 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.502.1678K | 44 | X | 1 | 51 | 12 | SN 2020ank: a bright and fast-evolving H-deficient superluminous supernova. | KUMAR A., KUMAR B., PANDEY S.B., et al. | ||
2021ApJ...912...21E | 87 | C | 1 | 125 | 18 | Late-time radio and millimeter observations of superluminous supernovae and long gamma-ray bursts: implications for central engines, fast radio bursts, and obscured star formation. | EFTEKHARI T., MARGALIT B., OMAND C.M.B., et al. | ||
2021ApJ...921...64B | 2028 | A | X C | 46 | 8 | ~ | Late-time Hubble Space Telescope observations of a hydrogen-poor superluminous supernova reveal the power-law decline of a magnetar central engine. | BLANCHARD P.K., BERGER E., NICHOLL M., et al. | |
2022MNRAS.514.2627C | 63 | D | X | 2 | 63 | 5 | A puzzle solved after two decades: SN 2002gh among the brightest of superluminous supernovae. | CARTIER R., HAMUY M., CONTRERAS C., et al. | |
2022MNRAS.517.2056G | 90 | X | 2 | 30 | 9 | SN 2020wnt: a slow-evolving carbon-rich superluminous supernova with no O II lines and a bumpy light curve. | GUTIERREZ C.P., PASTORELLO A., BERSTEN M., et al. | ||
2022ApJ...940...69K | 18 | D | 1 | 32 | 2 | Premaximum Spectroscopic Diversity of Hydrogen-poor Superluminous Supernovae. | KONYVES-TOTH R. | ||
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. | ||
2023ApJ...951...34T | 140 | X C | 2 | 19 | 3 | Supernova 2020wnt: An Atypical Superluminous Supernova with a Hidden Central Engine. | TINYANONT S., WOOSLEY S.E., TAGGART K., et al. | ||
2023ApJ...954...44K | 65 | D | X | 2 | 29 | ~ | Type W and Type 15bn Subgroups of Hydrogen-poor Superluminous Supernovae: Premaximum Diversity, Postmaximum Homogeneity? | KONYVES-TOTH R. and SELI B. | |
2023MNRAS.526.1822K | 112 | D | F | 2 | 31 | ~ | Reduction of supernova light curves by vector Gaussian processes. | KORNILOV M.V., SEMENIKHIN T.A. and PRUZHINSKAYA M.V. | |
2024ApJ...961..146U | 50 | X | 1 | 8 | ~ | Metal-enriched Pair-instability Supernovae: Effects of Rotation. | UMEDA H. and NAGELE C. | ||
2024ApJ...961..169H | 120 | D | C | 3 | 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. | |
2024A&A...683A.223S | 1320 | D | X C F | 25 | 28 | ~ | 1100 days in the life of the supernova 2018ibb The best pair-instability supernova candidate, to date. | SCHULZE S., FRANSSON C., KOZYREVA A., et al. |