The PandaX-4T experiment is designed for multiple purposes, including searches for solar neutrinos, weakly interacting massive particles, and rare double beta decays of xenon isotopes. The experiment produces a huge amount of raw data that needs to be stored for related physical analyses in a wide energy range. With the upgrading of the PandaX-4T experiment, the doubled sampling rate resulted in a larger data size, which challenges both the cost and the data processing speed. To address this issue, we propose a data reduction strategy by removing the noise tail of large signals and downsampling the remaining parts of them. This strategy reduces the requirement for storage by 65% while increasing data processing speed. The influences on physical analyses on different topics at different energy regions are negligible.
Cite
@article{arxiv.2311.12412,
title = {Data reduction strategy in the PandaX-4T experiment},
author = {Yubo Zhou and Xun Chen},
journal= {arXiv preprint arXiv:2311.12412},
year = {2024}
}
Comments
13 pages, 8 figures, 5 tables, version accepted by JINST