Advancements in the ATLAS Fast Chain for HL-LHC: Towards Efficient MC Production

The ATLAS Fast Chain represents a significant advancement in streamlining Monte Carlo (MC) production efficiency, specifically for the High Luminosity Large Hadron Collider. This project aims to simplify the MC production chain by eliminating intermediate formats, optimizing CPU utilization, and employing fast simulation methods to reduce disk usage and accelerate the process. Fast Chain leverages AtlFast3 methodologies for efficient calorimeter shower simulation and employs Fast Track Simulation for charged particles in the Inner Detector. Reconstruction speed optimization focuses on Inner Detector track reconstruction. Strategies like dedicated reconstruction configurations and track overlay from pre-mixed pile-up datasets are being explored. These proceedings provide an overview of the project’s objectives, methodologies, and ongoing developments, showcasing its potential to revolutionize MC production within the ATLAS experiment.

Institutions

Publication Details

Journal
Desy Publications Database (Deutsches Elektronen-Synchrotron DESY)
Published
2024-11-06
Primary Topic
Particle Detector Development and Performance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Advancements in the ATLAS Fast Chain for HL-LHC: Towards Efficient MC Production

Desy Publications Database (Deutsches Elektronen-Synchrotron DESY)
Particle Detector Development and Performance
article

Advancements in the ATLAS Fast Chain for HL-LHC: Towards Efficient MC Production

article en

Abstract

The ATLAS Fast Chain represents a significant advancement in streamlining Monte Carlo (MC) production efficiency, specifically for the High Luminosity Large Hadron Collider. This project aims to simplify the MC production chain by eliminating intermediate formats, optimizing CPU utilization, and employing fast simulation methods to reduce disk usage and accelerate the process. Fast Chain leverages AtlFast3 methodologies for efficient calorimeter shower simulation and employs Fast Track Simulation for charged particles in the Inner Detector. Reconstruction speed optimization focuses on Inner Detector track reconstruction. Strategies like dedicated reconstruction configurations and track overlay from pre-mixed pile-up datasets are being explored. These proceedings provide an overview of the project’s objectives, methodologies, and ongoing developments, showcasing its potential to revolutionize MC production within the ATLAS experiment.

Desy Publications Database (Deutsches Elektronen-Synchrotron DESY)
Stony Brook University (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 87%
Particle Detector Development and Performance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.