BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CERN//INDICO//EN
BEGIN:VEVENT
SUMMARY:Track Reconstruction Using Cellular Automata for the High Luminosi
 ty LHC & AI-Based QA Monitoring for the CBM experiment
DTSTART:20260505T130000Z
DTEND:20260505T134500Z
DTSTAMP:20260610T031400Z
UID:indico-event-17776@indico.global
DESCRIPTION:Speakers: Sachin Gupta (GSI)\n\nAbstract:\nCERN is currently p
 reparing for the HL-LHC phase. Track reconstruction is a computationally e
 xpensive task\, which becomes increasingly challenging in high pile-up env
 ironments. This thesis explores a cellular automaton–based tracking algo
 rithm with triplet fitting\, which is parallelizable and suitable for GPU 
 implementation\, unlike the iterative CKF. The method achieves ~96% effici
 ency and ~99% purity for tracks in the barrel region.\n \nThe CBM experim
 ent is a complex detector system composed of numerous subdetectors operati
 ng simultaneously and generating thousands of monitoring plots to ensure s
 table and reliable performance. This project proposes the adoption of an A
 I-based detection framework\, HYDRA\, originally developed for the GlueX e
 xperiment at Jefferson Lab. HYDRA employs computer-vision models for near
 –real-time image classification to recognize irregular patterns in detec
 tor monitoring outputs. The project focuses on adapting and deploying HYDR
 A for the CBM experiment.\n\nhttps://indico.global/event/17776/
LOCATION:NB2/158 (RUB)
URL:https://indico.global/event/17776/
END:VEVENT
END:VCALENDAR