SN 2013dg , the SIMBAD biblio

SN 2013dg , the SIMBAD biblio (39 results) C.D.S. - SIMBAD4 rel 1.8 - 2024.04.20CEST05:45:38


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Title First 3 Authors
2014ApJ...796...87I 174       D     X         5 28 79 Superluminous supernovae as standardizable candles and high-redshift distance probes. INSERRA C. and SMARTT S.J.
2014MNRAS.444.2096N 1710   K   D S   X C       42 17 135 Superluminous supernovae from PESSTO. NICHOLL M., SMARTT S.J., JERKSTRAND A., et al.
2014ApJ...797...24V viz 95       D       C       3 20 71 The hydrogen-poor superluminous supernova iPTF 13ajg and its host galaxy in absorption and emission. VREESWIJK P.M., SAVAGLIO S., GAL-YAM A., et al.
2015ApJ...799..107W 978   K A S   X C       23 15 47 Superluminous supernovae powered by magnetars: late-time light curves and hard emission leakage. WANG S.Q., WANG L.J., DAI Z.G., et al.
2015AJ....149..165W 16       D               1 11 15 Testing cosmological models with Type IC super luminous supernovae. WEI J.-J., WU X.-F. and MELIA F.
2015MNRAS.449.1215P 40           X         1 25 41 DES13S2cmm: the first superluminous supernova from the Dark Energy Survey. PAPADOPOULOS A., D'ANDREA C.B., SULLIVAN M., et al.
2013ATel.5128....1S 234 T         X         5 4 1 Classification of super-luminous SN :
MLS130517:131841-070443.
SMARTT S.J., NICHOLL M., INSERRA C., et al.
2015MNRAS.452.3869N 136       D     X         4 55 156 On the diversity of superluminous supernovae: ejected mass as the dominant factor. NICHOLL M., SMARTT S.J., JERKSTRAND A., et al.
2016ApJ...817..132D 45           X         1 10 52 The most luminous supernova ASASSN-15lh: signature of a newborn rapidly rotating strange quark star. DAI Z.G., WANG S.Q., WANG J.S., et al.
2016ApJ...821...22W 85             C       1 3 16 Optical transients powered by magnetars: dynamics, light curves, and transition to the nebular phase. WANG L.-J., WANG S.Q., DAI Z.G., et al.
2016MNRAS.460L..55M 16       D               1 23 10 Constraining the ellipticity of strongly magnetized neutron stars powering superluminous supernovae. MORIYA T.J. and TAURIS T.M.
2017MNRAS.464.3568P 17       D               2 25 46 The volumetric rate of superluminous supernovae at z ∼ 1. PRAJS S., SULLIVAN M., SMITH M., 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 260       D     X C       6 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.
2017A&A...602A...9C 245           X C       5 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 139       D     X         4 47 77 Analyzing the largest spectroscopic data set of hydrogen-poor super-luminous supernovae. LIU Y.-Q., MODJAZ M. and BIANCO F.B.
2017MNRAS.470.3566C 465       D     X   F     11 22 54 Superluminous supernova progenitors have a half-solar metallicity threshold. CHEN T.-W., SMARTT S.J., YATES R.M., et al.
2017ApJ...850...55N 20       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.
2018MNRAS.473.1258S 17       D               4 75 131 Cosmic evolution and metal aversion in superluminous supernova host galaxies. SCHULZE S., KRUHLER T., LELOUDAS G., et al.
2018MNRAS.474..573O 17       D               2 9 16 Radio emission from embryonic superluminous supernova remnants. OMAND C.M.B., KASHIYAMA K. and MURASE K.
2018ApJ...854..175I 16       D               1 48 19 A statistical approach to identify superluminous supernovae and probe their diversity. INSERRA C., PRAJS S., GUTIERREZ C.P., et al.
2018ApJ...855....2Q 17       D               2 63 93 Spectra of hydrogen-poor superluminous supernovae from the Palomar Transient Factory. QUIMBY R.M., DE CIA A., GAL-YAM A., et al.
2018A&A...611A..45R 82           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...865....9B 370           X C       8 18 9 The Type I superluminous supernova PS16aqv: lightcurve complexity and deep limits on radioactive ejecta in a fast event. BLANCHARD P.K., NICHOLL M., 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 58       D     X         2 58 6 Superluminous supernovae in LSST: rates, detection metrics, and light-curve modeling. VILLAR V.A., NICHOLL M. and BERGER E.
2019MNRAS.482.1545S viz 17       D               1 320 54 The Berkeley sample of stripped-envelope supernovae. SHIVVERS I., FILIPPENKO A.V., SILVERMAN J.M., et al.
2019ApJ...874...68C 59       D     X         2 32 1 A systematic study of superluminous supernova light-curve models using clustering. CHATZOPOULOS E. and TUMINELLO R.
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.
2020MNRAS.497..318L 426           X C F     8 15 ~ SN 2018hti: a nearby superluminous supernova discovered in a metal-poor galaxy. LIN W.L., WANG X.F., LI W.X., 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.
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.502.1678K 87           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...912...21E 366       D S   X         8 125 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.
2021MNRAS.504.2535I 17       D               1 31 24 The first Hubble diagram and cosmological constraints using superluminous supernovae. INSERRA C., SULLIVAN M., ANGUS C.R., et al.
2021ApJ...922...17H 104       D       C       5 40 2 A VLA survey of late-time radio emission from superluminous supernovae and the host galaxies. HATSUKADE B., TOMINAGA N., MOROKUMA T., 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.
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.

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