DES14X3taz , the SIMBAD biblio

DES14X3taz , the SIMBAD biblio (47 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.15CEST23:16:22

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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
2016ApJ...818L...8S 1167 T   A     X C       28 7 51
DES14X3taz: a Type I superluminous supernova showing a luminous, rapidly cooling initial pre-peak bump. 		SMITH M., SULLIVAN M., D'ANDREA C.B., et al.
2015ATel.7190....1C 133 T     D     X         3 1 ~ Spectroscopic Classification of DES 14X3taz as a SLSN-I. CASTANDER F.J., CASAS R., GARCIA-ALVAREZ D., et al.
2016MNRAS.460.1270D 85           X         2 47 645 The Dark Energy Survey: more than dark energy - an overview. DARK ENERGY SURVEY COLLABORATION, ABBOTT T., ABDALLA F.B., et al.
2017ApJ...835...58V viz 1566       D S   X C       38 14 40 On the early-time excess emission in hydrogen-poor superluminous supernovae. VREESWIJK P.M., LELOUDAS G., GAL-YAM A., et al.
2017MNRAS.464.3568P 16       D               2 25 46 The volumetric rate of superluminous supernovae at z ∼ 1. PRAJS S., SULLIVAN M., SMITH M., et al.
2017ApJ...840...12Y 16       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 334       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.466.2633S 41           X         1 13 44 Supernova ejecta with a relativistic wind from a central compact object: a unified picture for extraordinary supernovae. SUZUKI A. and MAEDA K.
2017A&A...602A...9C 40           X         1 25 37 The evolution of superluminous supernova LSQ14mo and its interacting host galaxy system. CHEN T.-W., NICHOLL M., SMARTT S.J., et al.
2017ApJ...845...85L viz 95       D       C       2 47 77 Analyzing the largest spectroscopic data set of hydrogen-poor super-luminous supernovae. LIU Y.-Q., MODJAZ M. and BIANCO F.B.
2017A&A...605A.107C 40           X         1 24 44 GRB 161219B/SN 2016jca: A low-redshift gamma-ray burst supernova powered by radioactive heating. CANO Z., IZZO L., DE UGARTE POSTIGO A., et al.
2017ApJ...850...55N 18       D               2 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...95S 16       D               1 24 24 Magnetar-powered superluminous supernovae must first be exploded by jets. SOKER N. and GILKIS A.
2018ApJ...852...81L viz 82           X         2 32 93 Hydrogen-poor superluminous supernovae from the Pan-STARRS1 Medium Deep Survey. LUNNAN R., CHORNOCK R., BERGER E., et al.
2018MNRAS.473.1258S 17       D               2 75 131 Cosmic evolution and metal aversion in superluminous supernova host galaxies. SCHULZE S., KRUHLER T., LELOUDAS G., et al.
2018ApJ...854..175I 80             C       1 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 80           X         2 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 viz 42           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...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.
2018MNRAS.481..894P viz 81           X         2 92 103 Rapidly evolving transients in the Dark Energy Survey. PURSIAINEN M., CHILDRESS M., SMITH M., et al.
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.
2018A&A...620A..67A 121           X         3 25 36 A nearby super-luminous supernova with a long pre-maximum & "plateau" and strong C II features. ANDERSON J.P., PESSI P.J., DESSART L., et al.
2019ApJ...874...68C 16       D               1 32 1 A systematic study of superluminous supernova light-curve models using clustering. CHATZOPOULOS E. and TUMINELLO R.
2019RAA....19...63W 41           X         1 28 3 The Energy Sources of Superluminous Supernovae. WANG S.-Q., WANG L.-J. and DAI Z.-G.
2019MNRAS.487.2215A 871       D     X C F     20 26 67 Superluminous supernovae from the Dark Energy Survey. ANGUS C.R., SMITH M., SULLIVAN M., et al.
2020MNRAS.494.5576P 41           X         1 24 ~ The mystery of photometric twins DES17X1boj and DES16E2bjy. PURSIAINEN M., GUTIERREZ C.P., WISEMAN P., et al.
2020MNRAS.495.4040W viz 58       D     X         2 614 35 Supernova host galaxies in the dark energy survey: I. Deep coadds, photometry, and stellar masses. WISEMAN P., SMITH M., CHILDRESS M., 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 16       D               1 93 ~ The interacting nature of dwarf galaxies hosting superluminous supernovae. ORUM S.V., IVENS D.L., STRANDBERG P., 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 84           X         2 51 12 SN 2020ank: a bright and fast-evolving H-deficient superluminous supernova. KUMAR A., KUMAR B., PANDEY S.B., et al.
2021ApJ...911..142L 418     A D     X C       10 9 ~ Magnetar-driven shock breakout revisited and implications for double-peaked Type I superluminous supernovae. LIU L.-D., GAO H., WANG X.-F., et al.
2021ApJ...921..180H 17       D               2 23 ~ Magnetar models of superluminous supernovae from the Dark Energy Survey: exploring redshift evolution. HSU B., HOSSEINZADEH G. and BERGER E.
2022MNRAS.512.4484F 485       D     X C F     10 24 4 Close, bright, and boxy: the superluminous SN 2018hti. FIORE A., BENETTI S., NICHOLL M., et al.
2022MNRAS.514.2627C 17       D               1 63 5 A puzzle solved after two decades: SN 2002gh among the brightest of superluminous supernovae. CARTIER R., HAMUY M., CONTRERAS C., et al.
2022ApJ...932...58J viz 43           X         1 29 14 The Circumstellar Environments of Double-peaked, Calcium-strong Transients 2021gno and 2021inl. JACOBSON-GALAN W.V., VENKATRAMAN P., MARGUTTI R., et al.
2022MNRAS.517.2056G 230       D     X C F     4 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 145       D     X         4 32 2 Premaximum Spectroscopic Diversity of Hydrogen-poor Superluminous Supernovae. KONYVES-TOTH R.
2022A&A...667A..92O 102       D         F     2 25 2 Supernova double-peaked light curves from double-nickel distribution. ORELLANA M. and BERSTEN M.C.
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.
2023ApJ...943...42C viz 104       D     X         3 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.
2023ApJ...954...44K 44           X         1 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 104       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..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.
2024ApJ...972...91D 45           X         1 30 ~ Probing Presupernova Mass Loss in Double-peaked Type Ibc Supernovae from the Zwicky Transient Facility. DAS K.K., KASLIWAL M.M., SOLLERMAN J., 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.

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