2024/12/12 by Amit Kumar, Kumar, Amit · 4 citations
Physics and Astronomy · #Astronomy and Astrophysical Research #FOS: Physical sciences #Gamma-ray bursts and supernovae #High Energy Astrophysical Phenomena (astro-ph.HE) #Pulsars and Gravitational Waves Research
paper · pdf · doi:10.48550/arxiv.2412.09357
openalex publication_date 2024/12/12 · openalex created_date 2024/12/14 · openalex updated_date 2026/07/28
This work presents the semi-analytical light curve modelling results of 11 stripped-envelope SNe (SESNe), where millisecond magnetars potentially drive their light curves. The light-curve modelling is performed utilizing the χ2-minimisation code MINIM considering millisecond magnetar as a central engine powering source. The magnetar model well regenerates the bolometric light curves of all the SESNe in the sample and constrains numerous physical parameters, including magnetar's initial spin period (P_\textrmi) and magnetic field (B), explosion energy of supernova (E_\textrmexp), progenitor radius (R_\textrmp), etc. Within the sample, the superluminous SNe 2010kd and 2020ank exhibit the lowest B and P_\textrmi values, while the relativistic Ic broad-line SN 2012ap shows the highest values for both parameters. The explosion energy for all SESNe in the sample (except SN 2019cad), exceeding \gtrsim2 × 1051 erg, indicates there is a possibility of a jittering jet explosion mechanism driving these events. Additionally, a correlation analysis identifies linear dependencies among parameters derived from light curve analysis, revealing positive correlations between rise and decay times, P_\textrmi and B, P_\textrmi and R_\textrmp, and E_\textrmexp and R_\textrmp, as well as strong anti-correlations of P_\textrmi and B with the peak luminosity. Principal Component Analysis is also applied to key parameters to reduce dimensionality, allowing a clearer visualization of SESNe distribution in a lower-dimensional space. This approach highlights the diversity in SESNe characteristics, underscoring unique physical properties and behaviour across different events in the sample. This study motivates further study on a more extended sample of SESNe to look for millisecond magnetars as their powering source.