The Higgs Machine Learning Challenge

被引:43
作者
Adam-Bourdarios, C. [1 ]
Cowan, G. [2 ]
Germain-Renaud, C. [3 ]
Guyon, I. [4 ]
Kegl, B. [1 ]
Rousseau, D. [1 ]
机构
[1] Lab Accelerateur Lineaire, F-91405 Orsay, France
[2] Univ London, Dept Phys, Royal Holloway, London WC1E 7HU, England
[3] Rech Informat Lab, Orsay, France
[4] ChaLearn, Los Angeles, CA USA
来源
21ST INTERNATIONAL CONFERENCE ON COMPUTING IN HIGH ENERGY AND NUCLEAR PHYSICS (CHEP2015), PARTS 1-9 | 2015年 / 664卷
关键词
D O I
10.1088/1742-6596/664/7/072015
中图分类号
O57 [原子核物理学、高能物理学];
学科分类号
070202 ;
摘要
The Higgs Machine Learning Challenge was an open data analysis competition that took place between May and September 2014. Samples of simulated data from the ATLAS Experiment at the LHC corresponding to signal events with Higgs bosons decaying to T+ together with background events were made available to the public through the website of the data science organization Kaggle (kaggle com). Participants attempted to identify the search region in a space of 30 kinematic variables that would maximize the expected discovery significance of the signal process. One of the primary goals of the Challenge was to promote communication of new ideas between the Machine Learning (ML) and HEP communities. In this regard it was a resounding success, with almost 2,000 participants from HEP, ML and other areas. The process of understanding and integrating the new ideas, particularly from ML into HEP, is currently underway.
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页数:6
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