2020
DOI: 10.1051/epjconf/202024502020
View full text |Buy / Rent full text
|
Sign up to set email alerts
|

Abstract: The HL-LHC and the corresponding detector upgrades for the CMS experiment will present extreme challenges for the full simulation. In particular, increased precision in models of physics processes may be required for accurate reproduction of particle shower measurements from the upcoming High Granularity Calorimeter. The CPU performance impacts of several proposed physics models will be discussed. There are several ongoing research and development efforts to make efficient use of new computing architectures an… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2022
2022
2022
2022

Publication Types

Select...
1
1

Relationship

2
0

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 12 publications
(10 reference statements)
0
2
0
Order By: Relevance
“…With roughly six million channels, it will be the most granular calorimeter built to date. This massively increases the geometry complexity, leading to a ~40-60% increase in the time to simulate the detector [19]; in addition, the increased precision of the detector is expected to require correspondingly more precise physical models, which may further double the simulation time in existing software [20]. The incorporation of precision timing information may also place more demands on the accuracy of the simulation.…”
Section: Future Accelerators and Detectors In Numbersmentioning
confidence: 99%
“…With roughly six million channels, it will be the most granular calorimeter built to date. This massively increases the geometry complexity, leading to a ~40-60% increase in the time to simulate the detector [19]; in addition, the increased precision of the detector is expected to require correspondingly more precise physical models, which may further double the simulation time in existing software [20]. The incorporation of precision timing information may also place more demands on the accuracy of the simulation.…”
Section: Future Accelerators and Detectors In Numbersmentioning
confidence: 99%
“…The CMS detector simulation already benefits from numerous technical optimizations and physics-preserving approximations, which improve its throughput by a factor of 4-6 compared to the default [5]. After the HL-LHC upgrade, the CPU time needed to simulate an event will increase by a factor of 3 or more [6], because the accompanying detector upgrades introduce a more complex geometry and require more detailed physics models to reproduce their precise measurements. Machine learning (ML) is a promising avenue to address this challenge by producing high-quality simulated events more quickly.…”
Section: Introductionmentioning
confidence: 99%