Data reduction strategy in the PandaX-4T experiment

Collaboration
Nov 21, 2023
14 pages
Published in:
  • JINST 19 (2024) 05, P05029
  • Published: May 13, 2024
e-Print:
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Abstract: (IOP)
The PandaX-4T experiment is designed for multiple purposes,including searches for solar neutrinos, weakly interacting massiveparticles, and rare double beta decays of xenon isotopes. Theexperiment produces a huge amount of raw data that needs to bestored for related physical analyses in a wide energy range. Withthe upgrading of the PandaX-4T experiment, the doubled sampling rateresulted in a larger data size, which challenges both the cost andthe data processing speed. To address this issue, we propose a datareduction strategy by removing the noise tail of large signals anddownsampling the remaining parts of them. This strategy reduces therequirement for storage by 65% while increasing data processingspeed. The influences on physical analyses on different topics atdifferent energy regions are negligible.
Note:
  • 13 pages, 8 figures, 5 tables, version accepted by JINST
  • Data reduction methods
  • Data processing methods
  • time projection chamber: xenon
  • xenon: nuclide
  • noise
  • costs
  • data management
  • detector: upgrade
  • performance
  • data analysis method