A Localization Method of High Energy Transients for All-sky Gamma-ray Monitor

被引：0

作者：

Zhao, Yi ^{[1
,2
]}

Xue, Wangchen ^{[2
,3
]}

Xiong, Shaolin ^{[2
]}

Luo, Qi ^{[2
,3
]}

Wang, Yuanhao ^{[2
,3
]}

Liu, Jiacong ^{[2
,3
]}

Yu, Heng ^{[1
]}

Zhao, Xiaoyun ^{[2
]}

Huang, Yue ^{[2
]}

Liao, Jinyuan ^{[2
]}

Sun, Jianchao ^{[2
]}

Li, Xiaobo ^{[2
]}

Yi, Qibin ^{[2
,4
]}

Cai, Ce ^{[5
]}

Xiao, Shuo ^{[6
,7
]}

Xie, Shenglun ^{[2
,8
]}

Zheng, Chao ^{[2
,3
]}

Zhang, Yanqiu ^{[2
,3
]}

Wang, Chenwei ^{[2
,3
]}

Tan, Wenjun ^{[2
,3
]}

Guo, Zhiwei ^{[2
,9
]}

Li, Chaoyang ^{[2
,10
]}

An, Zhenghua ^{[2
]}

Chen, Gang ^{[2
]}

Du, Yanqi ^{[2
,11
]}

Gao, Min ^{[2
]}

Gong, Ke ^{[2
,3
]}

Guo, Dongya ^{[2
]}

He, Jiang ^{[2
,3
]}

He, Jianjian ^{[2
]}

Li, Bing ^{[2
]}

Li, Gang ^{[2
]}

Li, Xinqiao ^{[2
]}

Liang, Jing ^{[2
,11
]}

Liang, Xiaohua ^{[2
]}

Liu, Yaqing ^{[2
]}

Ma, Xiang ^{[2
]}

Qiao, Rui ^{[2
]}

Song, Liming ^{[2
]}

Song, Xinying ^{[2
]}

Sun, Xilei ^{[2
]}

Wang, Jin ^{[2
]}

Wang, Ping ^{[2
]}

Wen, Xiangyang ^{[2
]}

Wu, Hong ^{[2
,11
]}

Xu, Yanbing ^{[2
]}

Yang, Sheng ^{[2
]}

Zhang, Dali ^{[2
]}

Zhang, Fan ^{[2
]}

Zhang, Hongmei ^{[2
]}

机构：

[1] Beijing Normal Univ, Dept Astron, Beijing 100875, Peoples R China

[2] Chinese Acad Sci, Inst High Energy Phys, Key Lab Particle Astrophys, Beijing 100049, Peoples R China

[3] Univ Chinese Acad Sci, Beijing 100049, Peoples R China

[4] Xiangtan Univ, Sch Phys & Optoelect, Xiangtan 411105, Peoples R China

[5] Hebei Normal Univ, Coll Phys, Shijiazhuang 050024, Peoples R China

[6] Guizhou Normal Univ, Guizhou Prov Key Lab Radio Astron & Data Proc, Guiyang 550001, Peoples R China

[7] Guizhou Normal Univ, Sch Phys & Elect Sci, Guiyang 550001, Peoples R China

[8] Cent China Normal Univ, Inst Astrophys, Wuhan 430079, Peoples R China

[9] Hebei Univ, Coll Phys Sci Technol, Baoding 071002, Peoples R China

[10] China West Normal Univ, Phys & Space Sci Coll, Nanchong 637002, Peoples R China

[11] Southwest Jiaotong Univ, Sch Comp & Artificial Intelligence, Chengdu 611756, Peoples R China

[12] Tongji Univ, Coll Elect & informat Engn, Shanghai 201804, Peoples R China

[13] Chinese Acad Sci, Innovat Acad Microsatellites, Shanghai 201304, Peoples R China

[14] Chinese Acad Sci, Natl Space Sci Ctr, Beijing 100190, Peoples R China

[15] Univ Sci & Technol China, Sch Earth & Space Sci, Hefei 230026, Peoples R China

[16] Wuhan Univ, Elect Informat Sch, Wuhan 430072, Peoples R China

[17] Nanjing Joint Inst Atmospher Sci, Key Lab Transportat Meteorol China Meteorol Adm, Nanjing 210000, Peoples R China

[18] Chinese Acad Sci, Inst Atmospher Phys, Key Lab Middle Atmosphere & Global Environm Observ, Beijing 100029, Peoples R China

来源：

RESEARCH IN ASTRONOMY AND ASTROPHYSICS | 2024年 / 24卷 / 10期

基金：

国家重点研发计划; 中国国家自然科学基金;

关键词：

methods: data analysis; methods: analytical; (stars:) gamma-ray burst: general; BURSTS; GECAM; TELESCOPE; CATALOG;

D O I：

10.1088/1674-4527/ad683b

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

摘要：

Fast and reliable localization of high-energy transients is crucial for characterizing the burst properties and guiding the follow-up observations. Localization based on the relative counts of different detectors has been widely used for all-sky gamma-ray monitors. There are two major methods for this count distribution localization: chi(2) minimization method and the Bayesian method. Here we propose a modified Bayesian method that could take advantage of both the accuracy of the Bayesian method and the simplicity of the chi( 2) method. With comprehensive simulations, we find that our Bayesian method with Poisson likelihood is generally more applicable for various bursts than the chi(2) method, especially for weak bursts. We further proposed a location-spectrum iteration approach based on the Bayesian inference, which could alleviate the problems caused by the spectral difference between the burst and location templates. Our method is very suitable for scenarios with limited computation resources or time-sensitive applications, such as in-flight localization software, and low-latency localization for rapidly follow-up observations.

引用

页数：11

共 41 条

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