arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2011.00225physics.ins-det
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运行-0a中用于J-PARC E16实验的数据采集系统

Data acquisition system in Run-0a for the J-PARC E16 experiment

Tomonori Takahashi, Kazuya Aoki, Sakiko Ashikaga, Wen-Chen Chang, Eitaro Hamada, Ryotaro Honda, Masaya Ichikawa, Masahiro Ikeno, Shunsuke Kajikawa, Koki Kanno, … 展开作者

Tomonori Takahashi, Kazuya Aoki, Sakiko Ashikaga, Wen-Chen Chang, Eitaro Hamada, Ryotaro Honda, Masaya Ichikawa, Masahiro Ikeno, Shunsuke Kajikawa, Koki Kanno, Daisuke Kawama, Takehito Kondo, Che-Sheng Lin, Chih-Hsun Lin, Yuhei Morino, Tomoki Murakami, Wataru Nakai, Satomi Nakasuga, Megumi Naruki, Yuki Obara, Kyoichiro Ozawa, Hiroyuki Sako, Susumu Sato, Hiroshi Sendai, Kazuki Suzuki, Yudai Takaura, Manobu Tanaka, Tomohisa Uchida, Satoshi Yokkaichi

摘要:

J-PARC E16是一个通过系统测量原子核中矢量介子的光谱变化来研究强子质量起源的实验。矢量介子衰变产生的$e^{+}e^{-}$对的测量将提供正常核密度下手征对称性部分恢复的信息。为了解决脉冲堆积并实现$e^{\pm}$与10 MHz数量级的反应速率的背景的良好区分,数据采集(DAQ)系统使用APV 25和DRS 4的波形采样芯片。触发速率和数据速率预计分别为1 kHz和130- 330 MiB/s。开发了APV 25和DRS 4的数据采集系统,其中事件通过公共触发和标签数据同步。第一次光束调试(称为Run-0a)于2020年6月进行,约为设计设置的1/4。在Run-0a中,DAQ以300 Hz的触发率工作,主要瓶颈是APV 25的大数据量。进一步优化数据采集系统将提高性能。

英文摘要:

J-PARC E16 is an experiment to examine the origin of hadron mass through a systematic measurement of spectral changes of vector mesons in nuclei. The measurement of $e^{+}e^{-}$ pairs from the decay of vector mesons will provide the information of the partial restoration of the chiral symmetry in a normal nuclear density. To resolve a pulse pile-up and achieve good discrimination of $e^{\pm}$ from the background of a reaction rate of an order of 10 MHz, the data acquisition (DAQ) system uses waveform sampling chips of APV25 and DRS4. The trigger rate and data rate are expected to be 1 kHz and 130--330 MiB/s, respectively. The DAQ system for readout of APV25 and DRS4 were developed, where events were synchronized by common trigger and tag data. The first commissioning in beam, called Run-0a, was performed in June 2020 with about 1/4 of the designed setup. The DAQ worked with a trigger rate of 300 Hz in the Run-0a and the main bottleneck was a large data size of APV25. Further optimization of the DAQ system will improve the performance.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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