SN 2020zbf: A fast-rising hydrogen-poor superluminous supernova with strong carbon lines
A. Gkini, R. Lunnan, S. Schulze, L. Dessart, S. J. Brennan, J., Sollerman, P. J. Pessi, M. Nichol, L. Yan, C. M. B. Omand, T. Kangas, T., Moore, J. P. Anderson, T.-W. Chen, E. P. Gonzalez, M. Gromadzki, Claudia P., Guti\'errez, D. Hiramatsu, D. A. Howell, N. Ihanec, C. Inserra

TL;DR
SN 2020zbf is a fast-rising, hydrogen-poor superluminous supernova with prominent carbon lines, likely powered by a magnetar or circumstellar interaction, and provides insights into progenitor characteristics and host galaxy properties.
Contribution
This study presents detailed spectral and photometric analysis of SN 2020zbf, highlighting its unique features and modeling its powering mechanisms, which advances understanding of hydrogen-poor superluminous supernovae.
Findings
SN 2020zbf has a peak magnitude of -21.2 mag and a rise time under 26.4 days.
Spectral features suggest a C-rich, low-mass magnetar or CSM interaction as powering mechanisms.
Host galaxy has a mass of 10^{8.7} M_\
Abstract
SN\,2020zbf is a hydrogen-poor superluminous supernova (SLSN) at that shows conspicuous \ion{C}{II} features at early times, in contrast to the majority of H-poor SLSNe. Its peak magnitude is = ~mag and its rise time ( days from first light) places SN\,2020zbf among the fastest rising type I SLSNe. We used spectra taken from ultraviolet (UV) to near-infrared wavelengths to identify spectral features. We paid particular attention to the \ion{C}{II} lines as they present distinctive characteristics when compared to other events. We also analyzed UV and optical photometric data and modeled the light curves considering three different powering mechanisms: radioactive decay of Ni, magnetar spin-down, and circumstellar medium (CSM) interaction. The spectra of SN\,2020zbf match the model spectra of a C-rich low-mass magnetar-powered…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
