Difference: PIDConferencePlots (16 vs. 17)

Revision 172019-04-12 - NikitaKazeev

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META TOPICPARENT name="LHCbPPTS"

PID Plots for Conference

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 Contact: Nikita Kazeev

Plot Description
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plots_for_approval_plots_acat_full_cv_ROCs_DSt_Pi.png  
plots_for_approval_plots_acat_full_cv_ROCs_Lam0LL_P.png  
plots_for_approval_plots_run_2_ROCs_DSt_Pi.png  
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plots_for_approval_plots_acat_full_cv_ROCs_DSt_Pi.png

Muon efficiency vs pion rejection after applying IsMuon&IsMuonUnbiased&PT>=800 selection, reweighed so that background P & PT match signal, reweighed to give more weight to high-nPVs events (see plot), 2016 calibration data

plots_for_approval_plots_acat_full_cv_ROCs_Lam0LL_P.png

Muon efficiency vs proton rejection after applying IsMuon&IsMuonUnbiased&PT>=800 selection, reweighed so that background P & PT match signal, reweighed to give more weight to high-nPVs events (see plot), 2016 calibration data

plots_for_approval_plots_run_2_ROCs_DSt_Pi.png

Muon efficiency vs pion rejection after applying IsMuon&IsMuonUnbiased&PT>=800 selection, no kinematic reweighting, 2016 calibration data

 

Fast DLL simulation

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Fig43right.png Background misidentification rates versus proton identification efficiency, as measured in the $\Sigma^+\to p\mu^+\mu^-$ decay study. The variables $\deltaLLXpi$ (black) and ProbNN (red), the probability value for each particle hypothesis, are compared for $5-10$\gevc muons and $5-50$\gevc protons, using data sidebands for backgrounds and Monte Carlo simulation for the signal.
-- MariannaFontana - 2016-04-07
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  • nPVs.pdf: nPVs spectrum used for traning and evaluating "Dev Catboost" model for Muon ID
 
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META FILEATTACHMENT attachment="nPVs.pdf" attr="" comment="nPVs spectrum used for traning and evaluating %22Dev Catboost%22 model for Muon ID" date="1555077294" name="nPVs.pdf" path="nPVs.pdf" size="15639" user="nkazeev" version="1"
 
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