Difference: AtlasDataAnalysis (109 vs. 110)

Revision 1102011-09-19 - GavinKirby

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Computentp, Neural Nets and MCLIMITS

Line: 275 to 275
  The list of variables on which the neural net is to train is set in the shell script, under TMVAvarset.txt (this file is created when the script runs). At present, these variables are:
Changed:
<
<
The b-weights for the six 'leading' jets - currently the jets are ranked according to their b-weights, but it is possible to rank them according to pT and energy. The decision about how to rank them is done in the AOD -> NTuple stage:
>
>
The b-weights for the six 'leading' jets - currently the jets are ranked according to their b-weights, but it is possible to rank them according to pT and energy. The decision about how to rank them is done in the AOD -> NTuple stage:
 NN_BJetWeight_Jet1
NN_BJetWeight_Jet2
NN_BJetWeight_Jet3
NN_BJetWeight_Jet4
NN_BJetWeight_Jet5
NN_BJetWeight_Jet6
Changed:
<
<
The masses and pT of the various jet combinations (only considering the four 'top' jets - i.e. if ranked by b-weights, the jets that we expect to really be b-jets in our signal:
>
>
The masses and pT of the various jet combinations (only considering the four 'top' jets - i.e. if ranked by b-weights, the jets that we expect to really be b-jets in our signal:
 NN_BJet12_M
NN_BJet13_M
NN_BJet14_M
NN_BJet23_M
NN_BJet24_M
NN_BJet34_M
NN_BJet12_Pt
NN_BJet13_Pt
NN_BJet14_Pt
NN_BJet23_Pt
NN_BJet24_Pt
NN_BJet34_Pt
Changed:
<
<
The sums of the eT of the two reconstructed tops, for each of the top three states:
>
>
The sums of the eT of the two reconstructed tops, for each of the top three states:
 NN_State1_SumTopEt
NN_State2_SumTopEt
NN_State3_SumTopEt
Changed:
<
<
And the differences between the eta and phi of the two reconstructed tops, again from the top three states:
>
>
And the differences between the eta and phi of the two reconstructed tops, again from the top three states:
 NN_State1_DiffTopEta
NN_State2_DiffTopEta
NN_State3_DiffTopEta
NN_State1_DiffTopPhi
NN_State2_DiffTopPhi
NN_State3_DiffTopPhi

You also need to provide addresses to the Neural Net so that it can find the variables in the input trees. This is done inside VariableTreeToNTPATLASttHSemiLeptonic-v15.txt

 
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