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Slide Show  Look for the best variable using MC Next slide 

  • An analysis was done in order to seen which variables are the best when all variable in the HAWC data stream were used.

Ranking Using MC

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Slide Show  Choose the best variable Next slide 

  • The first plot show the variables that have at least one ranking point with a value less or equal to 2. The second is the same but it has a value less or equal to 4.
Variable that have at least one ranking point with a value less 3 Variable that have at least one ranking point with a value less 5

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Slide Show  New Network Training using Real Data Next slide 

Three networks were trained using Real Data:
  • Using 15 inputs:

  • Using 4 inputs:
    • Compactness
    • rec.PINC
    • rec.LDFAmp
    • rec.LDFChi2

  • Using 6 inputs:
    • Compactness
    • rec.PINC
    • rec.LDFAmp
    • rec.LDFChi2
    • rec.SFCFChi2
    • rec.gammaleLLH

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Slide Show  Conditions Next slide 

  • Real data were used to training and verification.
    • /data/scratch/userspace/pretz/scrappy-platypus-optimization/

  • Both stages were applied the following cuts:
    • rec.coreFideScale < 100 [Events are inside of the HAWC ].
    • rec.CxPE40 > 0.

  • Crab maps were made using the month: January and February 2017
    • /data/archive/hawcroot/data/hawc/reconstructed/hawcprod/v2.02.02/config-38125/reco_xcdf/
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Slide Show  Real data vs MC Next slide 

In the training stage, I should apply a cut in Energy

Comparative of the NN training with 15 inputs when MC and Real data were used Comparative of the NN training with 15 inputs when MC and Real data were used -- NN/SC

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Slide Show  Look the maps in Bin 0 Next slide 

Significance maps of Crab nebula using the Networks trained
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Slide Show  Ranking using real data Next slide 

  • I don't know why rec.nTankAvail have a good ranking. Maybe it has different value in both files (MC as signal and Real data as Bkg)
Variable that have at least one ranking point with a value less 3 using real data

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Slide Show  Weekly goals Next slide 

  • Work on the version 2 of disMax
  • Read information about BDT
  • Train a BDT with 15 inputs
  • Research why don't have a better result when I use real data (Maybe I have a better result if I apply one cut in Energy)

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