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Jet Flavour Tagging Howto | ||||||||
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<-- Jet theta angle cut (only the Glasgow NN trainer has this option) --> | ||||||||
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< < | The neural nets are saved as XML files in gnets/ and will be used for flavour tagging (next step). No slcio output is written at this time. | |||||||
> > | The neural nets are saved as XML files in gnets/ and will be used for flavour tagging (next step). No slcio output is written at this time. These neural networks can be downloaded from here: gnets.tgz | |||||||
Flavour Tagging | ||||||||
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For b-tagging, we've compared the plot produced by MakePurityVsEfficiencyRootPlotGla.C and graphs drawn with the data tabulated in PurityEfficiencyOutput.txt , for 1, 2, 3 (corresponding to distinct neural networks) or any number of vertices (which we don't know yet how to interpret):![]() | ||||||||
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< < | Here's the script used to extract the numbers from PurityEfficiencyOutput.txt . | |||||||
> > | Here's the script used to extract the numbers from PurityEfficiencyOutput.txt | |||||||
Adding background | ||||||||
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![]() | ||||||||
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Training the neural nets with eeqq background addedWe can train another set of neural nets but adding this time eeqq background to the input. The resulting neural nets (25k signal + 25k background) are here: bnets.tgz. | |||||||
Useful Links
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