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| SN 2018bgv , the SIMBAD biblio (18 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.16CEST14:55:41 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| 2018ATel11654....1D | 161 | T | X | 3 | 3 | ~ |
Spectroscopic Classification of Gaia18beg/ SN 2018bgv as a Low-z SLSN-I by NUTS (NOT Un-biased Transient Survey). |
DONG S., BOSE S., SILTALA L., et al. | |
| 2018ATel11673....1P | 40 | X | 1 | 2 | ~ | MASTER: bright PSN. | POGROSHEVA T., LIPUNOV V., KORNILOV V., et al. | ||
| 2020ApJ...894...27T | 42 | X | 1 | 20 | 26 | Rapidly evolving transients from the Hyper Suprime-Cam SSP Transient Survey. | TAMPO Y., TANAKA M., MAEDA K., et al. | ||
|
2020ApJ...895...32F |
16 | D | 1 | 1494 | 104 | The Zwicky Transient Facility Bright Transient Survey. I. Spectroscopic classification and the redshift completeness of local galaxy catalogs. | FREMLING C., MILLER A.A., SHARMA Y., et al. | ||
|
2020ApJ...901...61L |
3705 | A | D | S X C | 89 | 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 | 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. | ||
| 2021ApJ...906....3W | 43 | X | 1 | 21 | 41 | A diversity of wave-driven presupernova outbursts. | WU S. and FULLER J. | ||
| 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. | ||
| 2022MNRAS.513.4057S | 102 | D | X | 3 | 32 | 8 | A mid-infrared study of superluminous supernovae. | SUN L., XIAO L. and LI G. | |
| 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 |
844 | D | X C | 19 | 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 | 8 | 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 | 844 | D | S X C | 18 | 20 | 5 | Polarimetry of hydrogen-poor superluminous supernovae. | PURSIAINEN M., LELOUDAS G., CIKOTA A., et al. | |
| 2023MNRAS.524.3559C | 17 | D | 1 | 56 | ~ | Metallicity beats sSFR: the connection between superluminous supernova host galaxy environments and the importance of metallicity for their production. | CLELAND C., McGEE S.L. and NICHOLL M. | ||
| 2023ApJ...954L..28N | 87 | X | 2 | 22 | ~ | AT 2022aedm and a New Class of Luminous, Fast-cooling Transients in Elliptical Galaxies. | NICHOLL M., SRIVASTAV S., FULTON M.D., et al. | ||
| 2024ApJ...961..169H | 18 | 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. | ||
| 2024MNRAS.535..471G | 376 | D | S X | 8 | 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 | 2 | 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. |