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针对CBM-TOF(Compression Baryon Material experiment-Time of flight detector)探测器采用的无触发数据获取系统所产生的数据流,本文提出一套完整的数据压缩算法,该算法通过提取数据流中与粒子信息相关的数据,并将数据配对成脉冲信号做进一步的数据筛选来完成。算法通过三个步骤完成对数据的压缩处理,分别是有效性验证、排序及脉宽筛选。有效性验证将初步筛选数据,保留粒子到来的时刻信息(绝对时间/相对时间),再通过后面两个步骤将符合行为的脉冲提取出来。通过压缩来自COSY的束流测试的数据,算法的正确性和有效性得到了验证,数据的压缩率达到94.5%以上,并且完整地保留了有用的数据信息。本算法减轻了无触发数据获取系统链路上数据流的压力,高效快速地将原始数据中有价值的信息提取出来,基本完成了针对CBM-TOF数据预处理的工作要求,对TOF探测器的数据重组有重要的意义。
In this paper, a complete data compression algorithm is proposed for the data flow generated by the triggerless data acquisition system used in the CBM-TOF (Compression Baryon Material Experiment-Time of flight detector) detector. This algorithm proposes a complete data compression algorithm by extracting information related to particle information Related data, and the data paired into a pulse signal for further data filtering to complete. Algorithm through three steps to complete the data compression, respectively, validation, sorting and pulse width selection. Validation will initially filter the data, keep the moment of arrival of the particles (absolute time / relative time), and then extract the pulses that match the behavior in the next two steps. By compressing the data from the beam test of COZY, the correctness and validity of the algorithm have been verified, the data compression rate reaches more than 94.5%, and the useful data information is completely preserved. This algorithm relieves the pressure of data flow on the link of system without triggering data, extracts the valuable information from the original data efficiently and quickly, and basically fulfills the work requirement of CBM-TOF data preprocessing. For TOF detector Data reorganization is of great significance.