Data support of 《Development of a high-speed digital pulse signal acquisition and processing system based on MTCA for liquid scintillator neutron detector on EAST》
收藏DataCite Commons2025-04-27 更新2025-04-16 收录
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In this study,we developed a high-speed digital pulse signal acquisition and processing (SAQP) system based on MTCA for liquid scintillator neutron detector on EAST. The system underwent rigorous testing in a laboratory setting and during an EAST experiment. The SAQP system setup, equipped with a BC501A detector, functioned as a neutron spectrometer (NES) to measure neutrons in deuterium plasma during the EAST experiment in June 2022. The results confirmed that the innovative SAQP system can satisfy the demanding requirements of high-parameter experiments, manage count rates of up to 2 Mcps, execute real-time n-γ discrimination algorithms, and record entire pulse waveforms without any data loss.We mainly used data from EAST shot No.112880 and shot No.114644 of NES system to to evaluate the integrated capabilities of the SAQP system. Data from shot No.112880, which marked the highest neutron yield in the recent set of EAST experiments, were selected for a qualitative assessment of the SAQP system's n-γ discrimination capability at elevated count rates. For shot No.114644, a total count rate reaching 4 Mcps was confirmed. This was used to prove that the SAQP system is capable of logging a full pulse waveform even when the NES system's count rate hits 4 Mcps. The time evolutions of neutron count rates, gamma count rates and total count rates of NES system from shot No.112880 was uploaded in the format of a txt document. The time evolutions of total count rates of NES system from shot No.114644 was uploaded too.The data from these two shots can substantiate that the SAQP system can meet the requirements of the NES system. In order to present these data more clearly, we have plotted them as temporal evolution curves along with some fundamental plasma parameters of the corresponding shot, and subsequently uploaded them to the database.
提供机构:
Science Data Bank
创建时间:
2023-09-09



