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SUMMARY:Optimization of detector structure based on flow field numerical s
 imulation with the assistance of artificial intelligence
DTSTART;VALUE=DATE-TIME:20261029T140500Z
DTEND;VALUE=DATE-TIME:20261029T142000Z
DTSTAMP;VALUE=DATE-TIME:20261102T005347Z
UID:indico-contribution-6214@cern.ch
DESCRIPTION:Speakers: Haoyu Wang ()\nIn order to improve the circulation p
 urification efficiency of the PandaX-xT dark matter detector and efficient
 ly achieve the ultra-trace background required by the detector through flo
 w field optimization\, this study conducts CFD numerical simulations of th
 e xenon flow field based on the structure of the PandaX-4T detector.  The 
 multi-variable simulation results are introduced into an artificial intell
 igence (AI) framework\, to establish a mapping relationship between the pa
 rameters and performance metrics for investigating the flow field characte
 ristics\, and completing the structural optimization of the detector. Fina
 lly\, the flow field simulation is updated based on the optimized paramete
 rs. The effectiveness of the optimization scheme in improving flow uniform
 ity and reducing impurity accumulation are analyzed\, which could provide 
 guidance and optimization directions for the performance enhancement of la
 rge-scale liquid xenon dark matter detectors.\n\nhttps://indico.particle.m
 ephi.ru/event/626/contributions/6214/
LOCATION: Conference Hall 3
URL:https://indico.particle.mephi.ru/event/626/contributions/6214/
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