Running a typical ROOT HEP analysis on Hadoop MapReduce

20th International Conference on Computing in High Energy and Nuclear Physics

物理学;计算机科学

Russo, S.A.^1 ; Pinamonti, M.^2 ; Cobal, M.^3

CERN, IT Department, Geneve

1211, Switzerland^1

ICTP, High Energy Physics Department, Trieste

34127, Italy^2

University of Udine, Department of Chemistry, Physics and Environment, Udine

33100, Italy^3

关键词: ATLAS experiment;    CERN laboratory;    Hadoop MapReduce;    HEP analysis;    Large Hadron Collider;    Pair production;    Particle collision;    Sub-problems;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/513/3/032080/pdf
DOI  :  10.1088/1742-6596/513/3/032080

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

We evaluate how a typical ROOT High Energy Physics (HEP) analysis can be executed on Hadoop MapReduce. We take into account several aspects and we propose a method to perform the analysis in a completely transparent way to ROOT, the data and the user: the goal is to let ROOT run without any modifications and to store the data in its original format. The solutions which has been found to solve the encountered problems can be easily ported to any HEP code, and in general to any code working on binary data relying on independent sub-problems like HEP particle collision events. We tested the method by running an analysis code for the top quark pair production cross section measurement with the ATLAS experiment at the Large Hadron Collider in the CERN laboratory.