Difference: AtlasDataAnalysis (102 vs. 103)

Revision 1032011-08-29 - AlistairGemmell

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Computentp, Neural Nets and MCLIMITS

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Preparing samples for the Neural Net

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Samples are produced for the Neural Net from AODs - results have previously been obtained for MC samples derived from v12 and v15 of athena. Current efforts are directed toward debugging the v15 results, and then upgrading to v16 input. The inputs are created from AODs using the TtHHbbDPDBasedAnalysis package (currently 00-04-18 and its branches are for v15, 00-04-19 is for v16).

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Previous work went into producing samples for the Neural Net from AODs - results have previously been obtained for MC samples derived from v12 and v15 of athena, with work directed toward upgrading this to v16. The inputs are created from AODs using the TtHHbbDPDBasedAnalysis package (currently 00-04-18 and its branches are for v15, 00-04-19 is for v16), which can be found here

. However, the work on athena v16 ran into problems with application of trigger matching, and so was curtailed for the moment.

Now inputs are produced in a two-step process from D3PDs. First, the desired D3PDs have cleaning cuts applied to them, and our desired event-by-event information is stored in a flat ntuple. This is performed by the code found here. Then we add in the global event variables (ones that are constant throughout the sample, such as luminosity and cross-section).

Current samples in use

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