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community:hepsim:usage

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How to analyse Monte Carlo event samples

The Monte Carlo files (truth level, fast simulations and full simulations) can be accessed from the HepSim repository link. Currently these studies are based on Jas4pp data-analysis environment. Geometry files for full detector simulations can be found in the detector repository.

You have several choices for data analysis:

  • Using the hs-tools package as described in short description. It is designed for downloading files and processing truth-level files using Python/Jython scripts (or using Java)
  • Using Jas4pp. It is similar to the above package, but it has packages needed to process full-simulation samples (SLCIO files).
  • Using C++/ROOT. If you run over ProMC (truth-level) files, look at the manual ProMC manual. If you run over ROOT files from Delphes, use Delphes manual. If you analyse LCIO files with full simulation, look at LCIO manual.

Physics and detector studies

Here are several links to extending this Wiki for particular detector-performance topics:

Currently these studies are based on Jas4pp data-analysis environment. Geometry files for full detector simulations can be found in the detector repository.

This manual describes how to work with truth-level samples posted on HepSim. HepSim Python/Java analysis page explains how to write code to read truth-level files using Python on the Java platform.

community/hepsim/usage.1461774894.txt.gz · Last modified: 2016/04/27 16:34 by asc