GRM Scientific Pipeline
Ping Wang, Li Zhang, Jin Wang, Wen-Hui Yu, Xiao-Yun Zhao, Shi-Jie Zheng, Shao-Lin Xiong, Yue Huang, Jiang He, Hao-Li Shi, Lu Li, Yong-Wei Dong, Min Gao, Jiang-Tao Liu, Xin Liu, Jian-Chao Sun, Li-Ming Song, Bo-Bing Wu, Jin-Zhou Wang, Rui-Jie Wang, Shuang-Nan Zhang

TL;DR
The paper presents the design and implementation of the GRM Scientific Pipeline, a real-time data processing system for gamma-ray burst detection on the SVOM mission, emphasizing efficiency, modularity, and scientific data management.
Contribution
It introduces a modular, event-driven data processing architecture for the GRM instrument, enabling rapid, accurate analysis of gamma-ray burst data in space-based astronomy.
Findings
Achieves efficient real-time processing of GRB data.
Supports automated scientific data product generation.
Provides a robust framework for future system upgrades.
Abstract
The Gamma-Ray Monitor (GRM) is a key payload of the Space-based multiband astronomical Variable Objects Monitor (SVOM) mission, which is designed to detect gamma ray bursts (GRBs) within the energy range of 15 keV to 5 MeV. The GRM Instrument Center (GRM\_IC) features real-time data processing through the X-band, enabling rapid response of high-energy GRB events. The system employs an event-driven architecture and distributed design, achieving efficient processing and real-time monitoring of massive observational data. Through comprehensive data production processes and scientific data product management, the system achieves efficient production of scientific data products of the L1B / C level through the submission of jobs to the task scheduling system. Through modular architecture design and automated processing workflow, the GRM data processing system realizes precise conversion and…
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