SN 2023gpw: exploring the diversity and power sources of hydrogen-rich superluminous supernovae
Tuomas Kangas, Panos Charalampopoulos, Takashi Nagao, Lin Yan, Maximilian Stritzinger, Steve Schulze, Kaustav Das, Nancy Elias-Rosa, Christoffer Fremling, Daniel Perley, Jesper Sollerman, Tom\'as M\"uller-Bravo, Llu\'is Galbany, Steven L. Groom, Claudia Guti\'errez

TL;DR
SN 2023gpw, a hydrogen-rich superluminous supernova, exhibits unique features like an abrupt post-peak drop, early CSM interaction, and high energy, challenging existing models and suggesting a possible central engine powering its luminosity.
Contribution
This study provides detailed observations of SN 2023gpw, revealing features that challenge standard neutrino-driven models and indicating the need for alternative energy sources like a magnetar or black hole accretion.
Findings
Early interaction with dense CSM causes flash emission lines.
High energy and lack of deceleration suggest a central engine.
Spectral and velocity analysis indicates ejecta asymmetry.
Abstract
We present our observations and analysis of SN 2023gpw, a hydrogen-rich superluminous supernova (SLSN II) with broad emission lines in its post-peak spectra. Unlike previously observed SLSNe II, its light curve suggests an abrupt drop during a solar conjunction between ~80 and ~180 d after the light-curve peak, possibly analogous to a normal hydrogen-rich supernova (SN). Spectra taken at and before the peak show hydrogen and helium `flash' emission lines attributed to early interaction with a dense confined circumstellar medium (CSM). A well-observed ultraviolet excess appears as these lines disappear, also as a result of CSM interaction. The blackbody photosphere expands roughly at the same velocity throughout the observations, indicating little or no bulk deceleration. This velocity is much higher than what is seen in spectral lines, suggesting asymmetry in the ejecta. The high total…
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.
