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DTSTART;TZID=Europe/Stockholm:20240603T113000
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UID:submissions.pasc-conference.org_PASC24_sess118@linklings.com
SUMMARY:MS1D - Next-Generation Computing for the Large Hadron Collider
DESCRIPTION:Minisymposium\n\nThe Large Hadron Collider (LHC) is the "energ
 y frontier" of high energy physics, but the accelerator itself has advance
 d fundamental physics only with extensive computing resources and R&D. Dat
 a collection from the detectors around LHC's collision sites require advan
 ced GPU- and FPGA-based triggers to filter the incoming data. Simulating t
 he creation of known particles from hypothetical physics requires GPU-acce
 lerated quantum chromodynamics (QCD). Modeling those particles' interactio
 n with the detectors to create simulated responses requires massive comput
 e resources that are being gradually transitioned to GPUs. Finally, confir
 ming new physics requires complex analysis frameworks that reconstruct exp
 erimental particle tracks and compare them with the simulated results to d
 educe the fundamental physics creating those particles. Our minisymposium 
 will dive into the advanced computing necessary to enable these new discov
 eries: a big-picture overview of the LHC, the detector experiments, their 
 cumulative computing requirements; high-level descriptions of the R&D in G
 PU accelerators and AI/ML, "online" computing for filtering and capturing 
 data from the experiments, "offline" computing for event generation and de
 tector simulation, and "reconstruction" that determines new physics by com
 paring the experimental and computational results.\n\nHardware Acceleratio
 n for Hard Event Generation\n\nThe first step in the particle physics simu
 lation chain involves the evaluation of exact, analytic scattering amplitu
 des in a process called hard event generation. Although these amplitudes a
 re given by explicit mathematical expressions, their complexity alongside 
 the sheer magnitude of necessary ev...\n\n\nZenny Wettersten (CERN, TU Wie
 n)\n---------------------\nAnalysis Model and Future Challenges: A Perspec
 tive from the LHC\n\nThe Large Hadron Collider (LHC) is entering an era wh
 ere the experiments are collecting hundreds of petabytes of data from whic
 h a wide variety of science goals can be pursued by distilling the data to
  high-level observables. Current data analysis methods rely on a combinati
 on of experiment-specific...\n\n\nVerena Ingrid Martinez Outschoorn (Unive
 rsity of Massachusetts Amherst)\n---------------------\nEnhancing High Ene
 rgy Physics Analysis: Advancements in Computing Infrastructure and Softwar
 e for the LHC and Future\n\nHigh Energy Physics (HEP) is fundamentally sta
 tistical, relying on the Standard Model (SM) hypothesis, which encapsulate
 s entities like the Higgs Boson, Quarks, Leptons, and force-mediating Boso
 ns. Despite its comprehensive framework, the SM has limitations, unable to
  explain several phenomena. Part...\n\n\nPhat Srimanobhas (Chulalongkorn U
 niversity)\n---------------------\nCeleritas: Accelerating HEP Detector Si
 mulation on GPUs\n\nCeleritas is a new Monte Carlo (MC) detector simulatio
 n code designed to help meet the increasing computational demands of high 
 energy physics (HEP) experiments by leveraging accelerator-based HPC archi
 tectures. The upcoming high luminosity upgrade of the Large Hadron Collide
 r (LHC) and its four mai...\n\n\nAmanda Lund (Argonne National Laboratory)
 \n\nDomain: Engineering, Physics, Computational Methods and Applied Mathem
 atics\n\nSession Chair: Katherine Royston (Oak Ridge National Laboratory)
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