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Observation data pre-processing and scientific data products generation of POLAR | Zheng-Heng Li
; Jian-Chao Sun
; Li-Ming Song
; Bo-Bing Wu
; Lu Li
; Xing Wen
; Hua-Lin Xiao
; Shao-Lin Xiong
; Lai-Yu Zhang
; Shuang-Nan Zhang
; Yong-Jie Zhang
; | Date: |
3 Jan 2019 | Abstract: | POLAR is a compact space-borne detector initially designed to measure the
polarization of hard X-ray emitted from Gamma-Ray Bursts in the energy range
50-500keV. This instrument has been launched successfully onboard the Chinese
space laboratory TG-2 on 15th September, 2016. After being switched on a few
days later, tens of gigabytes of detection raw data were produced in-orbit by
POLAR and transferred to ground every day. Before the launch date, a full
pipeline and the related software were designed and developed for the purpose
to quickly pre-process all the raw data of POLAR, which include both science
data and engineering data, then to generate the high level scientific data
products that are suitable for later science analysis. This pipeline has been
successfully applied for the use by the POLAR Science Data Center in IHEP after
POLAR was launched and switched on. A detailed introduction of the pipeline and
some of the core relevant algorithms are presented in this paper. | Source: | arXiv, 1901.0800 | Services: | Forum | Review | PDF | Favorites |
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