Hydrogen-poor Superluminous Supernovae with Bumpy Light Curves Powered by Precessing Magnetars

Abstract Recent observations and statistical studies have revealed that a significant fraction of hydrogen-poor superluminous supernovae (SLSNe-I) exhibit light curves that deviate from the smooth evolution predicted by the magnetar-powered model, instead showing one or more bumps after the primary peak. However, the formation mechanisms of these postpeak bumps remain a matter of debate. Furthermore, previous studies employing the magnetar-powered model have typically assumed a fixed magnetic inclination angle and neglected the effects of magnetar precession. However, recent research has shown that the precession of newborn magnetars forming during the collapse of massive stars causes the magnetic inclination angle to evolve over time, thereby influencing magnetic dipole radiation. In this paper, therefore, we incorporate the effects of magnetar precession into the magnetar-powered model to develop the precessing magnetar-powered model. Using this model, we successfully reproduce the multiband light curves of six selected representative SLSNe-I with postpeak bumps. Moreover, the derived model parameters fall within the typical parameter range for SLSNe-I. By combining the precessing magnetars in SLSNe-I and long gamma-ray bursts, we find that the ellipticity of magnetars is related to the dipole magnetic field strength, which may suggest a common origin for the two phenomena. Our work provides a potential explanation for the origin of postpeak bumps in SLSNe-I and offers evidence for the early precession of newborn magnetars formed in supernova explosions.

Authors

Publication Details

Journal
The Astrophysical Journal
Published
2025-05-22
DOI
https://doi.org/10.3847/1538-4357/adceb3
Citations
3
Primary Topic
Gamma-ray bursts and supernovae
Type
article
Field-Weighted Citation Impact
3.46

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hydrogen-poor Superluminous Supernovae with Bumpy Light Curves Powered by Precessing Magnetars

Shu-Qing Zhong, Zi-Gao Dai, Long Li, Biao Zhang
3 citations
The Astrophysical Journal
Gamma-ray bursts and supernovae
3.46
article

Hydrogen-poor Superluminous Supernovae with Bumpy Light Curves Powered by Precessing Magnetars

Shu-Qing Zhong, Zi-Gao Dai, Long Li, Biao Zhang
article en
3 citations

Abstract

Abstract Recent observations and statistical studies have revealed that a significant fraction of hydrogen-poor superluminous supernovae (SLSNe-I) exhibit light curves that deviate from the smooth evolution predicted by the magnetar-powered model, instead showing one or more bumps after the primary peak. However, the formation mechanisms of these postpeak bumps remain a matter of debate. Furthermore, previous studies employing the magnetar-powered model have typically assumed a fixed magnetic inclination angle and neglected the effects of magnetar precession. However, recent research has shown that the precession of newborn magnetars forming during the collapse of massive stars causes the magnetic inclination angle to evolve over time, thereby influencing magnetic dipole radiation. In this paper, therefore, we incorporate the effects of magnetar precession into the magnetar-powered model to develop the precessing magnetar-powered model. Using this model, we successfully reproduce the multiband light curves of six selected representative SLSNe-I with postpeak bumps. Moreover, the derived model parameters fall within the typical parameter range for SLSNe-I. By combining the precessing magnetars in SLSNe-I and long gamma-ray bursts, we find that the ellipticity of magnetars is related to the dipole magnetic field strength, which may suggest a common origin for the two phenomena. Our work provides a potential explanation for the origin of postpeak bumps in SLSNe-I and offers evidence for the early precession of newborn magnetars formed in supernova explosions.

The Astrophysical JournalVol. 985(2)
National Natural Science Foundation of China
Openalex Percentile: Top 8%
Gamma-ray bursts and supernovae
3.46
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.