• Help
  •    
  • About
    • CERN Open Data
    • ALICE
    • ATLAS
    • CMS
    • LHCb
    • OPERA
    • Glossary

CMS HEP Tutorial

Sander, Christian ; Schmidt, Alexander

Documentation Activities External resource Education CMS CERN-LHC


Description

This tutorial by Christian Sander and Alexander Schmidt gives a basic introduction to fundamental concepts of data analysis in HEP experiments, using a small sample of specially released CMS data collected in 2011. It has been used for a one-week course in the context of a HEP workshop and a data analysis school. It should be most useful for undergraduate students who have a basic knowledge of particle physics, but without any experience in data analysis. Prerequisites are some knowledge of C++ and the ROOT data analysis framework (there are dedicated tutorials on ROOT as well).

Use with

This tutorial is using a small fraction (50 pb-1) of real CMS data taken in 2011, stored in plain root tuples, to facilitate simplified analyses (the CMS collaboration board has agreed that this particular dataset can be released for educational purposes).

External links

Go to the CMS HEP Tutorial

File Indexes

{{$ctrlTbl.files = $ctrl.index_files.files; ""}} {{$ctrlTbl.totalItems = $ctrl.index_files.total; ""}}
Filename
Size
{{ file.key }}
{{ file.size | bytes }}
List Files Download Download Preview
Filename
Size
{{ file.key }}
{{ file.size | bytes }}
List Files Download Download Preview

Files

{{$ctrlTbl.files = $ctrl.files.files; ""}} {{$ctrlTbl.totalItems = $ctrl.files.total; ""}}
Filename
Size
{{ file.key }}
{{ file.size | bytes }}
List Files Download Download Preview
Filename
Size
{{ file.key }}
{{ file.size | bytes }}
List Files Download Download Preview

Disclaimer

The open data are released under the Creative Commons CC0 waiver. Neither CMS nor CERN endorse any works, scientific or otherwise, produced using these data. All releases will have a unique DOI that you are requested to cite in any applications or publications.

  • © CERN, 2014–2022 ·
  • Terms of Use ·
  • Privacy Policy ·
  • Help ·
  • GitHub ·
  • Twitter ·
  • Email