Data processing and online reconstruction
Abstract
In the upcoming upgrades for Run 3 and 4, the LHC will significantly increase Pb--Pb and pp interaction rates. This goes along with upgrades of all experiments, ALICE, ATLAS, CMS, and LHCb, related to both the detectors and the computing. The online processing farms must employ faster, more efficient reconstruction algorithms to cope with the increased data rates, and data compression factors must increase to fit the data in the affordable capacity for permanent storage. Due to different operating conditions and aims, the experiments follow different approaches, but there are several common trends like more extensive online computing and the adoption of hardware accelerators. This paper gives an overview and compares the data processing approaches and the online computing farms of the LHC experiments today in Run 2 and for the upcoming LHC Run 3 and 4.
Cite
@article{arxiv.1811.11485,
title = {Data processing and online reconstruction},
author = {David Rohr},
journal= {arXiv preprint arXiv:1811.11485},
year = {2018}
}
Comments
6 pages, 0 figures, contribution to LHCP2018 conference