002916406 001__ 2916406
002916406 005__ 20241106212601.0
002916406 0248_ $$aoai:cds.cern.ch:2916406$$pcerncds:FULLTEXT
002916406 037__ $$aATL-SOFT-SLIDE-2024-550
002916406 041__ $$aeng
002916406 088__ $$9ATL-COM-SOFT-2024-077
002916406 100__ $$0AUTHOR|(CDS)2096263$$0AUTHOR|(SzGeCERN)711765$$aTsai, [email protected]$$uStony Brook University (US)
002916406 110__ $$aThe ATLAS collaboration
002916406 245__ $$aAdvancements in the ATLAS Fast Chain for HL-LHC: Towards Efficient MC Production
002916406 260__ $$c2024
002916406 269__ $$aGeneva$$bCERN$$c06 Nov 2024
002916406 300__ $$a20 p
002916406 520__ $$aThe ATLAS Fast Chain represents a significant advancement in streamlining Monte Carlo (MC) production efficiency, specifically for the High-Luminosity Large Hadron Collider (HL-LHC). This project aims to simplify the production of Analysis Object Data (AODs) and potentially Derived Analysis Object Data (DAODs) from generated events with a single transform, facilitating rapid reproduction of the entire MC dataset multiple times per year. By eliminating intermediate formats and optimizing CPU utilization, the Fast Chain offers substantial savings in disk space while staying within the CPU budget by employing fast simulation methodologies instead of full MC campaigns. Central to the success of the Fast Chain is the seamless integration of fast simulation and reconstruction techniques. Leveraging AtlFast3 methodologies for efficient calorimeter shower simulation and employing Fast Track Simulation (FATRAS) for charged particles in the Inner Detector, the project aims at accelerated processing without compromising accuracy. Notably, muon simulations rely on Geant4 due to minimal CPU overhead. Pileup effects are incorporated through MC overlay, with potential future integration of data overlay. Reconstruction speed optimization focuses on Inner Detector track reconstruction. Strategies such as dedicated reconstruction configurations and track overlay from pre-mixed pileup datasets are being explored. In summary, the ATLAS Fast Chain project demonstrates a paradigm shift in MC production methodologies, offering a scalable and efficient solution tailored to the demands of the HL-LHC era. This abstract provides an overview of the project's objectives, methodologies, and ongoing developments, showcasing its potential to revolutionize MC production within the ATLAS experiment.
002916406 594__ $$aSLIDE
002916406 595__ $$aCERN CDS-Invenio WebSubmit
002916406 65017 $$2SzGeCERN$$aParticle Physics - Experiment
002916406 65027 $$2SzGeCERN$$aSoftware
002916406 6531_ $$9CERN$$aFatras
002916406 6531_ $$9CERN$$aTrack overlay
002916406 6531_ $$9CERN$$aHybrid overlay
002916406 6531_ $$9CERN$$aCPU speedup
002916406 6531_ $$9CERN$$aWall-time reduction
002916406 6531_ $$9CERN$$aACTS-Fatras
002916406 690C_ $$aCERN
002916406 690C_ $$aINTNOTE
002916406 690C_ $$aPRIVATLAS
002916406 690C_ $$aPUBLATLASSLIDE
002916406 693__ $$aCERN LHC$$eATLAS
002916406 710__ $$5PH-EP
002916406 710__ $$gATLAS Collaboration
002916406 8564_ $$uhttp://cds.cern.ch/record/2910897$$yOriginal Communication (restricted to ATLAS)
002916406 859__ [email protected]
002916406 8564_ $$82652438$$s6832903$$uhttp://cds.cern.ch/record/2916406/files/ATL-SOFT-SLIDE-2024-550.pdf
002916406 916__ $$sn$$w202470
002916406 960__ $$a91
002916406 962__ $$b2910433$$nkraków20241019
002916406 963__ $$aPUBLIC
002916406 970__ $$a000785068CER
002916406 980__ $$aPUBLATLASSLIDE
002916406 980__ $$aSlides