Source code for the CERN Open Data portal

Software for the 2014 ATLAS Higgs Machine Learning Challenge data set on opendata.cern.ch/education/ATLAS

Analyzer for CMS Open Data Pixel Seeds ML Applications http://opendata.cern.ch/

The Higgs Boson Machine Learning Challenge (HiggsML or the Challenge for short) was organized to promote collaboration between high energy physicists and data scientists. The ATLAS experiment at CERN provided simulated data that has been used by physi- cists in a search for the Higgs boson. The Challenge was organized by a small group of ATLAS physicists and data scientists. It was hosted by Kaggle at https://www.kaggle. com/c/higgs-boson; the challenge data is now available on http://opendata.cern.ch/ collection/ATLAS-Higgs-Challenge-2014. This paper provides the physics background and explains the challenge setting, the challenge design, and analyzes its results.Keywords: high energy physics, Higgs boson, statistical tests, machine learning.

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representation learning for jets (+ tracks) in the ATLAS detector using https://opendata.cern.ch/record/93940

Data analysis of "Events with two electrons from 2010" dataset from CERN Open Data. Here is the data: https://opendata.cern.ch/record/304

Tämä ohjelmavarasto (repository) sisältää kaksi esimerkkiä CMS-kokeen avointa dataa (http://opendata.cern.ch/) sisältävistä notebookeista, jotka on laadittu opetuskäyttöön.