中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Insight-HXMT X-ray and hard X-ray detection of the double peaks of the Fast Radio Burst from SGR 1935+2154

文献类型:GCN

作者-N; Zhang S; L; Xiong S; Li, C; -K; -B; Li X; L; Tuo Y
发表日期2020-05-01
出处GRB Coordinates Network
英文摘要Here we report a refined analysis of the Insight-HXMT light curves, which have been corrected for data saturation and dead-time effects. Insight-HXMT light curves could be found at: http://newshxmt.ihep.ac.cn/images/grb/SGR1935_3rd_atel.png The light curve in LE (1-10 keV) consists of two major bumps with a separation time of about 0.2 s. The first major bump in LE seems much brighter and wider than that in ME (10-30 keV) and HE (20-250 keV), while the second major bump are very bright in all three telescopes (HE, ME and LE), which was also detected by INTEGRAL (Atel #13685) and Konus-Wind (GCN #27669, Atel #13688). In addition, there is a minor soft bump in LE at the early phase of this flare which is marginally seen in ME data and absent in HE data. In HE and ME, there are two narrow peaks (14:34:24.4175 UT and 14:34:24.4475 UT) riding on the second major bump. In LE, these two narrow peaks are also visible, although the first peak is rather weak. Considering that the separation time between these two narrow peaks (~30 ms) is almost the same as that of the radio ones (~30 ms, Atel #13681), and that the apparent time lag between these two peaks and radio peaks (~8.6 s) is in perfect agreement with the calculated dispersion (8.63 s) between X-ray and radio using the measured DM (332.81 pc/cc) by CHIME/FRB (Atel #13681), we suggest that these two peaks are very likely the X-ray and hard X-ray counterparts of the double-peaked radio burst reported by CHIME/FRB (Atel #13681).
源URL[http://ir.ihep.ac.cn/handle/311005/287729]  
专题硬X射线调制望远镜卫星
高能物理研究所_粒子天体物理中心
作者单位中国科学院高能物理研究所
推荐引用方式
GB/T 7714
-N,Zhang S,L,et al. Insight-HXMT X-ray and hard X-ray detection of the double peaks of the Fast Radio Burst from SGR 1935+2154. 2020.

入库方式: OAI收割

来源:高能物理研究所

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