Scale-invariant Features of X-Ray Bursts from SGR J1935+2154 Detected by Insight-HXMT
Abstract In this work, we restudy the scale-invariant features of X-ray bursts from the soft gamma repeater (SGR) J1935+2154. To compare with previous studies, we choose 75 bursts from a dedicated 33 days-long observation carried out by Insight-HXMT. We investigate the size difference distributions of net counts, duration, and waiting time. It is found that the cumulative difference distributions of net counts and duration follow the q -Gaussian models with approximately steady q -values, confirming that the scale-invariant features exist in X-ray bursts of SGR J1935+2154. Regarding the varying results of waiting time reported by Sang & Lin and Wei et al, we find that the distributions of waiting time can be well described by the q -Gaussian model. Furthermore, the q -values of waiting time remain relatively stable at the 3 σ confidence level, corroborating the scale invariance in the X-ray bursts. Additionally, we note that there is no significant q -value evolution across three Insight-HXMT telescopes. These findings statistically affirm that the X-ray bursts from SGR J1935+2154 can be attributed to an fractal-diffusive self-organized criticality system with a plausible Euclidean spatial dimension S = 3, implying that X-ray bursts from SGR J1935+2154 and associated astrophysical phenomena may share a similar magnetically dominated stochastic process.
Authors
- Ming Cheng
- Jia‐Mu Liu
- Wenlong Zhang (ORCID: https://orcid.org/0000-0002-2402-0685)
- Yan-Na Wang
- Xiujuan Li (ORCID: https://orcid.org/0009-0009-1579-5209)
Institutions
- Chinese Academy of Sciences (CN)
- Qufu Normal University (CN)
- Institute of High Energy Physics (CN)
- Nanjing University (CN)
Publication Details
- Journal
- Publications of the Astronomical Society of the Pacific
- Published
- 2024-08-01
- DOI
- https://doi.org/10.1088/1538-3873/ad6a8a
- Primary Topic
- Gamma-ray bursts and supernovae
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Natural Science Foundation of Shandong Province