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--- community:hepsim:usage [2016/04/27 16:37] – [How to analyse Monte Carlo event samples] asc
+++ community:hepsim:usage [2016/04/28 02:51] (current) – [Analysing Monte Carlo event samples] asc
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-====== How to analyse Monte Carlo event samples ======
+====== Analysing Monte Carlo events ======
 The Monte Carlo files (truth level, fast simulations and full simulations)
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 Some analysis examples implemented in Python and C++ can be found in [[fcs:fcchh:intro|here]]. Also look for specific topics given below.
+======  Finding detector simulations  ======
+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 [[http://atlaswww.hep.anl.gov/hepsim/search.php|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.
 ======  Physics and detector studies  ======
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 This manual describes how to work with truth-level samples posted on HepSim.
 [[https://atlaswww.hep.anl.gov/asc/wikidoc/doku.php?id=community:refhepsim_analysis|HepSim Python/Java analysis page]] explains how to write code to read truth-level files using Python on the Java platform.
+ --- //[[[email protected]|Sergei Chekanov]] 2016/04/27 11:37//