Difference: AtlasDataAnalysis (101 vs. 102)

Revision 1022011-08-17 - AlistairGemmell

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Computentp, Neural Nets and MCLIMITS

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To run the script, first log into the batch system (ppepbs).

The genemflat_batch_Complete2_SL5.sh script can be executed with the command:

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./genemflat_batch_Complete2_SL5.sh 12 480 1.0 tth 120 120 1 1 /data/atlas07/ahgemmell/NTuple-v15-30Aug

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./genemflat_batch_Complete2_SL5.sh 12 480 1.0 tth 120 120 /data/atlas07/ahgemmell/NTuple-v15-30Aug

These options denote:

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1 indicates that templating is to take place
/data/atlas07/ahgemmell/NTuple-v15-30Aug is the directory where the input ntuples are located (having my_failEvent bits set for ( 65536 for >0 sensible states) and ( 131072 for 4 tight b-tagged jets)

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Note that it is possible to omit the training in subsequent (templating) runs, if it has previously been done (set 3rd from last argument to 0). This shortens the run time significantly.

Once the job has been completed you will receive an email summarising the outcome.

Running:

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weighting = <nop>TrainWeight - is this redundant?
TMVAvarset.txt - input variable set

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Other switches to influence the running

In genemflat_batch_Complete2_SL5.sh, at the start of the file there are a number of switches established:

# Flags to limit the scope of the run if desired                                                                                                                                                               
Computentps=1
DoTraining=1
ComputeTMVA=1
DoTemplates=1
DoStackedPlots=1
DoFit=1

These control whether or not various parts of the code are run - the names of the flags are pretty self-explanatory about what parts of the code they control. For example, it is possible to omit the training in subsequent (templating) runs, if it has previously been done. This shortens the run time significantly.

***NOTE*** The flags DoTraining and DoTemplates had previously (until release 00-00-21) been set on the command line. They were moved from the command line when the other flags were introduced.

Where the output is stored

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