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:
Some analysis examples implemented in Python and C++ can be found in here. Also look for specific topics given below.
Every entry in the HepSim has “truth-level” files (created by Monte Carlo generators) and reconstruction tags: Data after processing by the fast simulation program (Delphes) have the tag “rfastNNN” (NNN is a number), while data after full simulation have the tag “rfullNNN” (NNN is a number). The info pages for each sample has the link to the tag and the information page describing the detector.
If you need to find all samples for a given tag, use the search page. Then type the tag name. For example, if you are searching for the “rfull006” reconstruction tag, this page returns a complete list of Monte Carlo samples which were processed for a given detector.
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.
— Sergei Chekanov 2016/04/27 11:37