| Issue |
EPJ Web Conf.
Volume 214, 2019
23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
|
|
|---|---|---|
| Article Number | 02040 | |
| Number of page(s) | 7 | |
| Section | T2 - Offline computing | |
| DOI | https://doi.org/10.1051/epjconf/201921402040 | |
| Published online | 17 September 2019 | |
https://doi.org/10.1051/epjconf/201921402040
Calorimeter fast simulation based on hit libraries LHCb Gauss framework
1
Istituto Nazionale di Fisica Nucleare sezione di Pisa,
Italy
2
Dipartimento di Fisica, Università di Pisa,
Italy
* e-mail: matteo.rama@pi.infn.it
** e-mail: giacomovitali91@gmail.com
Published online: 17 September 2019
In HEP experiments the CPU resources required by Monte Carlo simulations are taking up an ever larger fraction of the total computing power (greater than 75%). At the same time the pace of performance improvements given by technology is slowing down, so the only solution is a more efficient use of resources. In this context we present the ongoing development of a fast simulation of the LHCb calorimeter based on a point library, which has significant advantages in terms of library size and output accuracy compared to the cell hit library. Preliminary performance studies are presented.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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