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| SN 2018hti , the SIMBAD biblio (30 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.15CEST12:46:04 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| 2019ApJ...875..121L | 1162 | T K A | S X C | 26 | 4 | ~ |
Imaging polarimetry of the Type I superluminous supernova 2018hti. |
LEE C.-H. | |
| 2020ApJ...894..154S | 124 | X | 3 | 8 | 14 | Late-phase spectropolarimetric observations of superluminous supernova SN 2017egm to probe the geometry of the inner ejecta. | SAITO S., TANAKA M., MORIYA T.J., et al. | ||
| 2020MNRAS.497..318L | 4486 | T K A | D | X C F | 107 | 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...903L..24L | 41 | X | 1 | 19 | ~ | A unified accreting magnetar model for long-duration gamma-ray bursts and Some stripped-envelope supernovae. | LIN W.L., WANG X.F., WANG L.J., 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. | ||
| 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 | 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. | ||
| 2021ApJ...912...21E | 769 | D | S X | 18 | 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...914L...2L | 59 | D | X | 2 | 5 | ~ | Supernova luminosity powered by magnetar-disk system. | LIN W., WANG X., WANG L., et al. | |
| 2018ATel12183....1A | 201 | T | X | 4 | 2 | ~ |
FLOYDS Classification of AT 2018hti / ATLAS18yff as a Young Nearby SLSN-I. |
ARCAVI I., BURKE J., HIRAMATSU D., et al. | |
|
2021ApJ...917...97W |
84 | C | 1 | 27 | 3 | ASASSN-14ms: the most energetic known explosion of a Type Ibn supernova and its physical origin. | WANG X., LIN W., ZHANG J., et al. | ||
| 2022MNRAS.511.5948P | 145 | K | D | X | 4 | 22 | 5 | Post maximum light and late time optical imaging polarimetry of type I superluminous supernova 2020znr. | POIDEVIN F., OMAND C.M.B., PEREZ-FOURNON I., et al. |
| 2022MNRAS.512.4484F | 5151 | T K A | D | S X C F | 118 | 24 | 4 |
Close, bright, and boxy: the superluminous SN 2018hti. |
FIORE A., BENETTI S., NICHOLL M., et al. |
| 2022MNRAS.513.4057S | 485 | D | X F | 11 | 32 | 8 | A mid-infrared study of superluminous supernovae. | SUN L., XIAO L. and LI G. | |
| 2022MNRAS.517.2056G | 85 | 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 | 358 | D | X | 9 | 32 | 2 | Premaximum Spectroscopic Diversity of Hydrogen-poor Superluminous Supernovae. | KONYVES-TOTH R. | |
| 2022ApJ...941L..16A | 664 | T A | X C | 14 | 5 | ~ |
Hard X-Ray Observations of the Hydrogen-poor Superluminous Supernova SN 2018hti with NuSTAR. |
ANDREONI I., LU W., GREFENSTETTE B., 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. | ||
|
2023ApJ...943...41C |
235 | D | X | 6 | 104 | 17 | The Hydrogen-poor Superluminous Supernovae from the Zwicky Transient Facility Phase I Survey. I. Light Curves and Measurements. | CHEN Z.H., YAN L., KANGAS T., et al. | |
|
2023ApJ...943...42C |
17 | D | 4 | 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. | ||
| 2023A&A...674A..81P | 235 | D | X C | 5 | 20 | 5 | Polarimetry of hydrogen-poor superluminous supernovae. | PURSIAINEN M., LELOUDAS G., CIKOTA A., et al. | |
| 2023NatAs...7..779L | 131 | X | 3 | 16 | ~ | A superluminous supernova lightened by collisions with pulsational pair-instability shells. | LIN W., WANG X., YAN L., et al. | ||
| 2023ApJ...954...44K | 235 | D | X C | 5 | 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. | |
| 2024MNRAS.527.6473F | 269 | X C F | 4 | 37 | ~ | Detailed spectrophotometric analysis of the superluminous and fast evolving SN 2019neq. | FIORE A., BENETTI S., TARTAGLIA L., et al. | ||
| 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. | ||
| 2024MNRAS.535..471G | 332 | D | S X | 7 | 274 | ~ | The Type I superluminous supernova catalogue I: light-curve properties, models, and catalogue description. | GOMEZ S., NICHOLL M., BERGER E., et al. | |
| 2025ApJ...980..219K | 19 | D | 1 | 137 | ~ | The Bolometric Light-curve Modeling of 98 Type I Superluminous Supernovae Using the Magnetar- and the Circumstellar Interaction Models Reveals Surprisingly High Ejecta Masses. | KONYVES-TOTH R. | ||
| 2025MNRAS.541.2674A | 47 | X | 1 | 60 | ~ | The Type I superluminous supernova catalogue - II. Spectroscopic evolution in the photospheric phase, velocity measurements, and constraints on diversity. | AAMER A., NICHOLL M., GOMEZ S., et al. | ||
| 2026ApJ...999...59B | 20 | D | 2 | 34 | ~ | Hydrogen-poor Superluminous Supernovae in the Nebular Phase: Spectral Diversity Due to Ejecta Ionization as a Probe of the Power Source. | BLANCHARD P.K., BERGER E., GOMEZ S., et al. |