A low-latency pipeline for GRB light curve and spectrum using Fermi/GBM near real-time data
Shao, Jian-Xiong; Li, Han-Cheng; Bu, Qing-Cui; Feng, Min-Zi; Li, Zheng-Heng; Wen, Xing; Wu, Bo-Bing; Zhang, Lai-Yu; Zhang, Yong-Jie; Zhang, Shuang-Nan
刊名Research in Astronomy and Astrophysics
2018
卷号 18
关键词Astrophysics - Instrumentation and Methods for Astrophysics Astrophysics - High Energy Astrophysical Phenomena
DOI10.1088/1674-4527/18/5/57
英文摘要Rapid response and short time latency are very important for Time Domain Astronomy, such as the observations of Gamma-ray Bursts (GRBs) and electromagnetic (EM) counterparts of gravitational waves (GWs). Based on near real-time Fermi/GBM data, we developed a low-latency pipeline to automatically calculate the temporal and spectral properties of GRBs. With this pipeline, some important parameters can be obtained, such as T 90 and fluence, within 20 min after the GRB trigger. For 90% of GRBs, T 90 and fluence are consistent with the GBM catalog results within 2Ҡerrors. This pipeline has been used by the Gamma-ray Bursts Polarimeter (POLAR) and the Insight Hard X-ray Modulation Telescope (Insight-HXMT) to follow up the bursts of interest. For GRB 170817A, the first EM counterpart of GW events detected by Fermi/GBM and INTEGRAL/SPI-ACS, the pipeline gave T 90 and spectral information 21 min after the GBM trigger, providing important information for POLAR and Insight-HXMT observations.
内容类型期刊论文
源URL[http://ir.ihep.ac.cn/handle/311005/282320]  
专题高能物理研究所_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
Shao, Jian-Xiong,Li, Han-Cheng,Bu, Qing-Cui,et al. A low-latency pipeline for GRB light curve and spectrum using Fermi/GBM near real-time data[J]. Research in Astronomy and Astrophysics,2018, 18.
APA Shao, Jian-Xiong.,Li, Han-Cheng.,Bu, Qing-Cui.,Feng, Min-Zi.,Li, Zheng-Heng.,...&Wang, Yuan-Hao.(2018).A low-latency pipeline for GRB light curve and spectrum using Fermi/GBM near real-time data.Research in Astronomy and Astrophysics, 18.
MLA Shao, Jian-Xiong,et al."A low-latency pipeline for GRB light curve and spectrum using Fermi/GBM near real-time data".Research in Astronomy and Astrophysics  18(2018).
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