BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:Europe/Stockholm
X-LIC-LOCATION:Europe/Stockholm
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20241120T082408Z
LOCATION:HG E 1.2
DTSTART;TZID=Europe/Stockholm:20240603T130000
DTEND;TZID=Europe/Stockholm:20240603T133000
UID:submissions.pasc-conference.org_PASC24_sess118_msa183@linklings.com
SUMMARY:Enhancing High Energy Physics Analysis: Advancements in Computing 
 Infrastructure and Software for the LHC and Future
DESCRIPTION:Minisymposium\n\nPhat Srimanobhas (Chulalongkorn University)\n
 \nHigh Energy Physics (HEP) is fundamentally statistical, relying on the S
 tandard Model (SM) hypothesis, which encapsulates entities like the Higgs 
 Boson, Quarks, Leptons, and force-mediating Bosons. Despite its comprehens
 ive framework, the SM has limitations, unable to explain several phenomena
 . Particle accelerators such as the LHC serve as a tools in investigating 
 the SM's potential inadequacies, offering clues that might lead to beyond 
 Standard Model (BSM) Physics. A significant challenge in HEP is to handle 
 enormous data volumes, aiming to search for new particles or to scrutinize
  exceptionally rare SM processes, with any enhancement in event rates may 
 come from BSM. Since the beginning, the development of a robust computing 
 infrastructure and software has been crucial for effectively managing and 
 analyzing this data. This includes leveraging heterogeneous computing, har
 nessing the power of GPUs or FPGAs, and integrating machine learning and A
 I into analysis workflows to handle data more efficiently. With the LHC se
 t to evolve into the High Luminosity LHC, significantly increasing data vo
 lumes, it’s essential to fortify our computational capabilities. This pres
 entation will discuss into the current developments, highlighting the inte
 gration of innovative tools that empower physicists to analyze data more p
 roficiently and pave the way for future of HEP.\n\nDomain: Engineering, Ph
 ysics, Computational Methods and Applied Mathematics\n\nSession Chair: Kat
 herine Royston (Oak Ridge National Laboratory)
END:VEVENT
END:VCALENDAR