TauPublicResults < AtlasPublic

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    <h2 style="text-align: center" ><font size="+2">Hadronic Tau Performance </font></h2>
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Contact: <a href="mailto:atlas-perf-tau-conveners@cern.ch">ATLAS Tau Performance Group Conveners</a>
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<div>&nbsp; </div>
This page features public results from the ATLAS Tau Performance Group. 

For <b>preliminary public plots see [[#TauPubPlots][bottom of page]]</b>.

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Select the desired keywords to filter the results. <br>Selections within a section row are combined with a logical OR, while selections among different section rows are combined with a logical AND. </font>
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#TauPubPlots
---+++ Performance plots

Public collision data plots approved by the tau group which have not been superseded by notes/papers yet. (Superseded plots can be found [[TauPublicCollisionPlotsArchive][here]]).

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---++++ Missing Mass Calculator performance study %N%

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*Missing Mass Calculator performance study*

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[[https://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PLOTS/TAU-2019-001/index.html][Plots]]
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---++++ Performance Plot for Summer 2018 (May 2018)

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*Tau Identification and Energy Scale performance: Preliminary Public Plots*

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[[https://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PLOTS/TAU-2018-001/index.html][Plots, more infos]]
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---++++ Performance Plot for HL-LHC Workshop 2017 (October 2017)


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Tau identification efficiency for the three working points (Loose, Medium and Tight) using the algorithm optimized for HL-LHC detector and conditions (``HL-LHC tuning”) as a function of pT for reconstructed $\tau$ candidates, shown for one-prong taus.

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   <a href="%ATTACHURLPATH%/c_IDEffWRTTruth1PTauJets_ptGeV_log_1P.eps">   <img width="350" src="%ATTACHURLPATH%/c_IDEffWRTTruth1PTauJets_ptGeV_log_1P.png" alt="c_IDEffWRTTruth1PTauJets_ptGeV_log_1P.png"/></a>
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Tau identification efficiency for the three working points (Loose, Medium and Tight) using the algorithm optimized for HL-LHC detector and conditions (``HL-LHC tuning”) as a function of pT for reconstructed $\tau$ candidates, shown for three-prong taus.

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   <a href="%ATTACHURLPATH%/c_IDEffWRTTruth1PTauJets_ptGeV_log_3P.eps">   <img width="350" src="%ATTACHURLPATH%/c_IDEffWRTTruth1PTauJets_ptGeV_log_3P.png" alt="c_IDEffWRTTruth1PTauJets_ptGeV_log_3P.png"/></a>
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Jet rejection as a function of $\tau$ efficiency for the algorithm optimized for HL-LHC detector and conditions (``HL-LHC tuning”) for $\tau$ candidates within $|\eta|<4.0$ (black) as well as for tau candidates restricted to $|\eta|<2.5$ (blue), compared to the Run 2 performance optimized for the Run-2 detector and conditions (``Run-2 performance”) for $\tau$ candidates within $|\eta|<2.5$ (green), shown for one-prong taus.

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   <a href="%ATTACHURLPATH%/c_ROCComparison_1Pposter.eps">   <img width="350" src="%ATTACHURLPATH%/c_ROCComparison_1Pposter.png" alt="c_ROCComparison_1Pposter.png"/></a>
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Jet rejection as a function of $\tau$ efficiency for the algorithm optimized for HL-LHC detector and conditions (``HL-LHC tuning”) for $\tau$ candidates within $|\eta|<4.0$ (black) as well as for tau candidates restricted to $|\eta|<2.5$ (blue), compared to the Run 2 performance optimized for the Run-2 detector and conditions (``Run-2 performance”) for $\tau$ candidates within $|\eta|<2.5$ (green), shown for three-prong taus.

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   <a href="%ATTACHURLPATH%/c_ROCComparison_3Pposter.eps">   <img width="350" src="%ATTACHURLPATH%/c_ROCComparison_3Pposter.png" alt="c_ROCComparison_3Pposter.png"/></a>
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---++++ Performance Plot for ICHEP 2016 (July 2016)

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The visible mass reconstructed using isolated muons and offline tau candidates passing the offline loose identification requirement. The Z mass peak is observed in an enriched sample of $Z\to\tau\tau\to\mu\tau$(had) events from the 2016 dataset in 13 TeV collisions, corresponding to an integrated luminosity of 7.1fb-1. These events are collected using a single muon trigger. Event selections and background estimations are described in ATL-PHYS-PUB-2015-025 and in Eur. Phys. J. C75 (2015) 303. Only statistical uncertainties are shown. 

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<a href="%ATTACHURLPATH%/Mvis_2016.eps"><img width="350" alt="" src="%ATTACHURLPATH%/Mvis_2016.png"/></a>     
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---++++ Performance plots for LHCC 2015 (December 2015)

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(Plot 1:) 
The BDT tau identification score for offline tau candidates passing the offline medium identification requirement. The tau candidates are observed in an enriched sample of $Z\to\tau\tau\to\mu\tau$(had) events from the 2015 dataset in 13 TeV collisions, corresponding to an integrated luminosity of 3.3fb-1. These events are collected using a single muon trigger. Event selections and background estimations are described in ATL-PHYS-PUB-2015-025 and in Eur. Phys. J. C75 (2015) 303. Only statistical uncertainties are shown.
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(Plot 2:) 
The visible mass reconstructed using isolated muons and offline tau candidates passing the offline medium identification requirement. The Z mass peak is observed with high purity in an enriched sample of $Z\to\tau\tau\to\mu\tau$(had) events from the 2015 dataset in 13 TeV collisions, corresponding to an integrated luminosity of 3.3fb-1. These events are collected using a single muon trigger. Event selections and background estimations are described in ATL-PHYS-PUB-2015-025 and in Eur. Phys. J. C75 (2015) 303. Only statistical uncertainties are shown.
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<a href="%ATTACHURLPATH%/BDT_Tau_ID_Score.eps"><img width="350" alt="" src="%ATTACHURLPATH%/BDT_Tau_ID_Score.png"/></a>     
<a href="%ATTACHURLPATH%/Visible_Mass_tau_mu.eps"><img width="350" alt="" src="%ATTACHURLPATH%/Visible_Mass_tau_mu.png"/></a>     
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---++++ Data vs. MC comparison plots (March 2014) 

   * %ICON{new}% [[http://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/TAUCP/PublicPlots/ATL-COM-PHYS-2014-153/][Plots of Tau ID variables and BDT score]]
   * %ICON{new}% [[http://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/TAUCP/PublicPlots/ATL-COM-PHYS-2014-154/][Plots from insitu TES determination]]
   * %ICON{new}% [[http://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/TAUCP/PublicPlots/ATL-COM-PHYS-2014-155/][Plots of Tau e-veto variables]]

---++++ Performance plots for tau identification, tau e veto and tau energy scale (Moriond2013 ID and data set) (February 2013)
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(Plot 1:) 
Inverse background efficiency as a function of the signal efficiency with a Boosted Decision Tree (BDT) algorithm for 1-prong $\tau_\mathrm{had-vis}$ candidates  with a $p_\mathrm{T} > 15$ GeV and $|\eta| < 2.5$. The signal efficiencies are obtained using $Z\to\tau \tau$, $Z'\to\tau \tau$ and $W\to\tau \nu$ simulated events. The background efficiencies are derived using 2012 collision data after applying a multi-jet selection and are calculated with respect to all candidates with exactly one reconstructed track. The Winter 2013 BDT uses $\pi^{0}$-related variables that increase its performance.
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(Plot 2:) 
Inverse background efficiency as a function of the signal efficiency with a BDT algorithm for multi-prong $\tau_\mathrm{had-vis}$ candidates with a $p_\mathrm{T} > 15$ GeV and $ |\eta| < 2.5$. Multi-prong $\tau$ candidates are defined as reconstructed $\tau$ candidates with 2 or 3 tracks and for the signal efficiency only true $\tau$ leptons decaying into three charged particles are considered. The signal efficiencies are obtained using $Z\to\tau\tau$, $Z'\to\tau\tau$ and $W\to\tau\nu$ simulated events. The background efficiencies are derived using 2012 collision data after applying a multi-jet selection and are calculated with respect to all candidates with two or three reconstructed tracks.
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(Plot 3:) 
Signal efficiencies of the Winter 2013 TauBDT for 1-prong $\tau_\mathrm{had-vis}$ candidates as a function of the number of reconstructed vertices for $p_\mathrm{T} > 15$ GeV and $ |\eta| < 2.5$. The identification is performed  using a BDT algorithm at a loose, medium or tight working point. The efficiencies are obtained using $Z\to\tau\tau$, $Z'\to\tau\tau$ and $W\to\tau\nu$ simulated events with one reconstructed track with respect to all true taus decaying into one charged particle.
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(Plot 4:) 
Signal efficiencies of the Winter 2013 TauBDT for multi-prong $\tau_\mathrm{had-vis}$ candidates as a function of the number of reconstructed vertices for $p_\mathrm{T} > 15$ GeV and $ |\eta| < 2.5$. The identification is performed  using a BDT algorithm at a loose, medium or tight working point. The efficiencies are obtained using $Z \to \tau\tau$, $Z' \to \tau\tau$ and $W \to \tau\nu$ simulated events with two or three reconstructed tracks with respect to all true taus decaying into three charged particles.
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(Plot 5:) 
Background efficiencies of the Winter 2013 TauBDT for 1-prong $\tau_\mathrm{had-vis}$ candidates as a function of the number of reconstructed vertices for $p_\mathrm{T} > 15$ GeV and $ |\eta| < 2.5$. The identification is performed  using a BDT algorithm at a loose, medium or tight working point. The efficiencies are derived using 2012 collision data after applying a multi-jet selection and are calculated with respect to all candidates with exactly one reconstructed track.
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(Plot 6:) 
Background efficiencies of the Winter 2013 TauBDT for multi-prong $\tau_\mathrm{had-vis}$ candidates as a function of the number of reconstructed vertices for $p_\mathrm{T} > 15$ GeV and $ |\eta| < 2.5$. The identification is performed  using a BDT algorithm at a loose, medium or tight working point. The efficiencies are derived using 2012 collision data after applying a multi-jet selection and are calculated with respect to all candidates with two or three reconstructed tracks.
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(Plot 7:) 
Distribution of the number of tracks associated with hadronically-decaying tau candidates from
the Z to tau tau tag & probe selection in 2012 data, before any tau identification requirement is applied. The
signal contribution from simulated Z events is outlined in red. The jet background is taken from data
control regions, while the electron background is taken from simulated samples. A fit to the distribution
of the number of tracks provides the number of hadronically-decaying tau leptons before
any identification criteria are applied, for the purpose of the identification efficiency measurement
[using the same method as described in ATLAS-CONF-2012-142].
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(Plot 8:) 
Distribution of the number of tracks associated with hadronically-decaying tau candidates from
the Z to tau tau tag & probe selection in 2012 data, after the medium tau identification requirement is applied.
The signal contribution from simulated Z events is outlined in red. The jet background is taken from data
control regions, while the electron background is taken from simulated samples. The 1-prong (multi-
prong) template is based on tau candidates with exactly one (two or more) reconstructed tracks in a
cone of deltaR<0.2 around the tau axis. A fit to the distribution of the number of tracks provides the
number of hadronically-decaying tau leptons after the identification criteria are applied, for the purpose of
the identification efficiency measurement [using the same method as described in ATLAS-CONF-2012-142].
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(Plot 9:) 
Distribution of the number of tracks associated with hadronically-decaying tau candidates from
the W to tau nu tag & probe selection in 2012 data, before any tau identification requirement is applied. The
signal contribution from simulated W events is outlined in red. The jet background is taken from data
control regions, while the electron background is taken from simulated samples. A fit to the distribution
of the number of tracks provides the number of hadronically-decaying tau leptons before
any identification criteria are applied, for the purpose of the identification efficiency measurement
[using the same method as described in ATLAS-CONF-2012-142].
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(Plot 10:) 
Distribution of the number of tracks associated with hadronically-decaying tau candidates from
the W to tau nu tag & probe selection in 2012 data, after the medium tau identification requirement is applied.
The signal contribution from simulated W events is outlined in red. The jet background is taken from
data control regions, while the electron background is taken from simulated samples. A fit to the
distribution of the number of tracks provides the number of hadronically-decaying tau leptons after
the identification criteria are applied, for the purpose of the identification efficiency measurement
[using the same method as described in ATLAS-CONF-2012-142].
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(Plot 11:)
Response curves as a function of the reconstructed visible tau momentum at LC scale for one-prong tau decays in bins of |&#951;|. The momentum range display corresponds to transverse momenta greater than 15 GeV. The tau response is defined as the ratio of the reconstructed visible momentum at LC scale divided by the true visible momentum and binned in the true visible momentum and |&#951;|. Uncertainties are statistical only. The method is equivalent to that described in ATLAS-CONF-2012-064 for 2011 data. 
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(Plot 12:)
Response curves as a function of the reconstructed visible tau momentum at LC scale for multi-prong tau decays in bins of |&#951;|. The momentum range display corresponds to transverse momenta greater than 15 GeV. The multi-prong tau decays refer to the hadronic decay modes with at least two reconstructed tracks. The tau response is defined as the ratio of the reconstructed visible momentum at LC scale divided by the true visible momentum and binned in the true visible momentum and |&#951;|. Uncertainties are statistical only. The method is equivalent to that described in ATLAS-CONF-2012-064 for 2011 data. 
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(Plot 13:)
Systematic uncertainty on the tau energy scale (TES) for 1-prong tau decays in the central region (|&#951;| < 0.3), as a function of PT. Each different marker represents a separate source of uncertainty as indicated in the legend. The violet band shows the combined uncertainty from all sources. The method is similar to that described in ATLAS-CONF-2012-064 for 2011 data. 
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(Plot 14:)
Systematic uncertainty on the tau energy scale (TES) for multi-prong tau decays in the forward region ( 1.6< |&#951;| < 2.5), as a function of PT. The multi-prong tau decays refer to the hadronic decay modes with at least two reconstructed tracks. Each different marker represents a separate source of uncertainty as indicated in the legend. The violet band shows the combined uncertainty from all sources. The method is similar to that described in ATLAS-CONF-2012-064 for 2011 data. 
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(Plot 15:)
Momentum resolution for 1-prong tau decays and multi-prong tau decays as function of PT . The multi-prong tau decays refer to the hadronic decay modes with at least two reconstructed tracks. The resolution is calculated as the difference between the reconstructed and generated PT . The resolution is obtained from a Gaussian fit by dividing the &#963; of the Gaussian by the mean value of generated P. The method is similar to that described in ATLAS-CONF-2012-064 for 2011 data. 
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(Plot 16:)
Background efficiency as a function of signal efficiency with a Boosted Decision Tree (BDT) algorithm for truth-matched 1-prong tau candidates with pT > 15 GeV and eta < 2.47. The signal efficiency is obtained using Z to tau tau simulated events. The background efficiency is obtained using Z to ee simulated events. Candidates are required to pass loose tau identification and not overlap within a cone R=0.2 with a reconstructed electron candidate which passes tight electron identification.
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(Plot 17:)
Signal efficiency of the Winter 2013 electron veto for truth-matched 1-prong  tau candidates as a function of reconstructed transverse momentum for pT > 15 GeV and eta < 2.47. The identification is performed using a Boosted Decision Tree (BDT) algorithm at a loose, medium, or tight working point. The signal efficiency is obtained using Z to tau tau simulated events. Candidates are required to pass loose tau identification and not overlap within a cone R=0.2 with a reconstructed electron candidate which passes tight electron identification.
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(Plot 18:)
Signal efficiency of the Winter 2013 electron veto for truth-matched 1-prong  tau candidates as a function of reconstructed transverse momentum for pT > 15 GeV and eta < 2.47. The identification is performed using a Boosted Decision Tree (BDT) algorithm at a loose, medium, or tight working point. The signal efficiency is obtained using Z to tau tau simulated events. Candidates are required to pass loose tau identification and not overlap within a cone R=0.2 with a reconstructed electron candidate which passes tight electron identification.
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(Plot 19:)
Signal efficiency of the Winter 2013 electron veto for truth-matched 1-prong  tau candidates as a function of the number of reconstructed vertices for pT > 15 GeV and eta < 2.47. The identification is performed using a Boosted Decision Tree (BDT) algorithm at a loose, medium, or tight working point. The signal efficiency is obtained using Z to tau tau simulated events. Candidates are required to pass loose tau identification and not overlap within a cone R=0.2 with a reconstructed electron candidate which passes tight electron identification.
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(Plot 20:)
Background efficiency of the Winter 2013 electron veto for 1-prong  tau candidates as a function of transverse momentum for pT > 15 GeV and eta < 2.47. The identification is performed using a Boosted Decision Tree (BDT) algorithm at a loose, medium, or tight working point. The background efficiency is obtained using Z to ee  simulated events. Candidates are required to pass loose tau identification and not overlap within a cone R=0.2 with a reconstructed electron candidate which passes tight electron identification.
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(Plot 21:)
Background efficiency of the Winter 2013 electron veto for 1-prong  tau candidates as a function of transverse momentum for pT > 15 GeV and eta < 2.47. The identification is performed using a Boosted Decision Tree (BDT) algorithm at a loose, medium, or tight working point. The background efficiency is obtained using Z to ee  simulated events. Candidates are required to pass loose tau identification and not overlap within a cone R=0.2 with a reconstructed electron candidate which passes tight electron identification.
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(Plot 22:)
Background efficiency of the Winter 2013 electron veto for 1-prong  tau candidates  as a function of the number of reconstructed vertices  for pT > 15 GeV and eta < 2.47. The identification is performed using a Boosted Decision Tree (BDT) algorithm at a loose, medium, or tight working point. The background efficiency is obtained using Z to ee  simulated events. Candidates are required to pass loose tau identification and not overlap within a cone R=0.2 with a reconstructed electron candidate which passes tight electron identification.
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<a href="%ATTACHURLPATH%/201202_tauid_roc_1p.eps"><img width="350" alt="" src="%ATTACHURLPATH%/201202_tauid_roc_1p.png"/></a>     
<a href="%ATTACHURLPATH%/201202_tauid_roc_mp.eps"><img width="350" alt="" src="%ATTACHURLPATH%/201202_tauid_roc_mp.png"/></a>     
<a href="%ATTACHURLPATH%/201202_tauid_sigEff_1p_atlas.eps"><img width="350" alt="" src="%ATTACHURLPATH%/201202_tauid_sigEff_1p_atlas.png"/></a>     
<a href="%ATTACHURLPATH%/201202_tauid_sigEff_mp_atlas.eps"><img width="350" alt="" src="%ATTACHURLPATH%/201202_tauid_sigEff_mp_atlas.png"/></a>     
<a href="%ATTACHURLPATH%/201202_tauid_bkgEff_1p_atlas.eps"><img width="350" alt="" src="%ATTACHURLPATH%/201202_tauid_bkgEff_1p_atlas.png"/></a>     
<a href="%ATTACHURLPATH%/201202_tauid_bkgEff_mp_atlas.eps"><img width="350" alt="" src="%ATTACHURLPATH%/201202_tauid_bkgEff_mp_atlas.png"/></a>
<a href="%ATTACHURLPATH%/fitMuHadNew_inc_PtEtaAll_NoID.eps"><img width="350" alt="" src="%ATTACHURLPATH%/fitMuHadNew_inc_PtEtaAll_NoID.png"/></a>     
<a href="%ATTACHURLPATH%/fitMuHadNew_1PmP_PtEtaAll_bdtM.eps"><img width="350" alt="" src="%ATTACHURLPATH%/fitMuHadNew_1PmP_PtEtaAll_bdtM.png"/></a>     
<a href="%ATTACHURLPATH%/Wtaunu_incFit_NOID_OL.eps"><img width="350" alt="" src="%ATTACHURLPATH%/Wtaunu_incFit_NOID_OL.png"/></a>     
<a href="%ATTACHURLPATH%/Wtaunu_incFit_BDTM_OL.eps"><img width="350" alt="" src="%ATTACHURLPATH%/Wtaunu_incFit_BDTM_OL.png"/></a>     
<a href="%ATTACHURLPATH%/CalibrationFunctionProng1.eps"><img width="350" alt="" src="%ATTACHURLPATH%/CalibrationFunctionProng1.png"/></a>     
<a href="%ATTACHURLPATH%/CalibrationFunctionProng3.eps"><img width="350" alt="" src="%ATTACHURLPATH%/CalibrationFunctionProng3.png"/></a>     
<a href="%ATTACHURLPATH%/FinalTESu_0_03_1pmc12_BDTMEDIUM.eps"><img width="350" alt="" src="%ATTACHURLPATH%/FinalTESu_0_03_1pmc12_BDTMEDIUM.png"/></a>  
<a href="%ATTACHURLPATH%/FinalTESu_16_25_3pmc12_BDTMEDIUM.eps"><img width="350" alt="" src="%ATTACHURLPATH%/FinalTESu_16_25_3pmc12_BDTMEDIUM.png"/></a>  
<a href="%ATTACHURLPATH%/CONFNOTEResolutionProng.eps"><img width="350" alt="" src="%ATTACHURLPATH%/CONFNOTEResolutionProng.png"/></a>  
<a href="%ATTACHURLPATH%/ElectronVetoROC.eps"><img width="350" alt="" src="%ATTACHURLPATH%/ElectronVetoROC.png"/></a>  
<a href="%ATTACHURLPATH%/ElectronVetoSignalEfficiencyPT.eps"><img width="350" alt="" src="%ATTACHURLPATH%/ElectronVetoSignalEfficiencyPT.png"/></a>  
<a href="%ATTACHURLPATH%/ElectronVetoSignalEfficiencyPTHigh.eps"><img width="350" alt="" src="%ATTACHURLPATH%/ElectronVetoSignalEfficiencyPTHigh.png"/></a>  
<a href="%ATTACHURLPATH%/ElectronVetoSignalEfficiencyNVertex.eps"><img width="350" alt="" src="%ATTACHURLPATH%/ElectronVetoSignalEfficiencyNVertex.png"/></a>  
<a href="%ATTACHURLPATH%/ElectronVetoBackgroundEfficiencyPT.eps"><img width="350" alt="" src="%ATTACHURLPATH%/ElectronVetoBackgroundEfficiencyPT.png"/></a>  
<a href="%ATTACHURLPATH%/ElectronVetoBackgroundEfficiencyPTHigh.eps"><img width="350" alt="" src="%ATTACHURLPATH%/ElectronVetoBackgroundEfficiencyPTHigh.png"/></a>  
<a href="%ATTACHURLPATH%/ElectronVetoBackgroundEfficiencyNVertex.eps"><img width="350" alt="" src="%ATTACHURLPATH%/ElectronVetoBackgroundEfficiencyNVertex.png"/></a>  

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---++++ Performance plots for Tau Identification and Tau Energy Scale in 2012 (14 August 2012)

<table class="twikiTable" width="97%" bgcolor=#f5f5fa  border=1 cellpadding=10 cellspacing=10>
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(Plot 1:) 
Final systematic uncertainty on the tau energy scale (TES) for 1-prong decays in the central region (abs(eta)< 0.3), as a function of PT. Each different marker represents a separate source of uncertainty as indicated in the legend. The violet band shows the combined uncertainty from all sources. The method is equivalent to that described in ATLAS-CONF-2012-064 for 2011 data.
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(Plot 2:) 
Final systematic uncertainty on the tau energy scale (TES) for multi-prong decays in the endcap region, as a function of PT. Each different marker represents a separate source of uncertainty as indicated in the legend. The violet band shows the combined uncertainty from all sources. The method is equivalent to that described in ATLAS-CONF-2012-064 for 2011 data.
<br>
<br>
<br>
<br>
<br>
<br>
<br>
<br>
<br>
<br>
<br>
(Plot 3:)
Transverse momentum resolution for one prong decays in different eta regions as function of PT . The transverse resolution is calculated as the difference between the reconstructed and generated PT . The resolution is obtained from
a Gaussian fit by dividing the &#963; of the Gaussian by the mean value of generated PT.
<br>
<br>
<br>
<br>
<br>
<br>
<br>
<br>
<br>
<br>
<br>
(Plot 4:)
Signal e&#64259;ciencies for 1-prong &tau; candidates as a function of the number of reconstructed vertices for loose (green), medium (blue) and tight (red) selection on all jets discriminants with a pT>20 !GeV and |&eta;| <2.3. The identi&#64257;cation was performed using a projective Log-LikeliHood score.  The e&#64259;ciencies were obtained using Z->&tau;&tau;, Z'->&tau;&tau; and W->&tau;&nu; Pythia8 samples. 
<br>
<br>
<br>
<br>
<br>
<br>
<br>
<br>
<br>
<br>
<br>
(Plot 5:) 
Background e&#64259;ciencies for 1-prong &tau; candidates as a function of the number of reconstructed vertices for loose (green), medium (blue) and tight (red) selection on all jets discriminants with a pT>20 !GeV and |&eta;| <2.3. The identi&#64257;cation was performed using  a projective Log-LikeliHood score.  The e&#64259;ciencies were obtained using 2012 dijet data samples with an integrated luminosity of 740 pb-1. 
<br>
<br>
<br>
<br>
<br>
<br>
<br>
<br>
<br>
<br>
<br>
(Plot 6:)
Signal e&#64259;ciencies for multi-prong &tau; candidates as a function of the number of reconstructed vertices for loose (green), medium (blue) and tight (red) selection on all jets discriminants with a pT>20 !GeV and |&eta;| <2.3. The identi&#64257;cation was performed using a projective Log-LikeliHood score.  The e&#64259;ciencies were obtained using Z->&tau;&tau;, Z'->&tau;&tau; and W->&tau;&nu; Pythia8 samples. 
<br>
<br>
<br>
<br>
<br>
<br>
<br>
<br>
<br>
<br>
<br>
(Plot 7:) 
Background e&#64259;ciencies for multi-prong &tau; candidates as a function of the number of reconstructed vertices for loose (green), medium (blue) and tight (red) selection on all jets discriminants with a pT>20 !GeV and |&eta;| <2.3. The identi&#64257;cation was performed using  a projective Log-LikeliHood score.  The e&#64259;ciencies were obtained using 2012 dijet data samples with an integrated luminosity of 740 pb-1. 
<br>
<br>
<br>
<br>
<br>
<br>
<br>
<br>
<br>
<br>
<br>
(Plot 8:)
Signal e&#64259;ciencies for multi-prong &tau; candidates as a function of the number of reconstructed vertices for loose (green), medium (blue) and tight (red) selection on all jets discriminants with a pT>20 !GeV and |&eta;| <2.3. The identi&#64257;cation was performed using a Boosted Decision Tree algorithm.  The e&#64259;ciencies were obtained using Z->&tau;&tau;, Z'->&tau;&tau; and W->&tau;&nu; Pythia8 samples. 
<br>
<br>
<br>
<br>
<br>
<br>
<br>
<br>
<br>
<br>
<br>
(Plot 9:) 
Background e&#64259;ciencies for multi-prong &tau; candidates as a function of the number of reconstructed vertices for loose (green), medium (blue) and tight (red) selection on all jets discriminants with a pT>20 !GeV and |&eta;| <2.3. The identi&#64257;cation was performed using  a Boosted Decision Tree algorithm.  The e&#64259;ciencies were obtained using 2012 dijet data samples with an integrated luminosity of 740 pb-1. 
<br>
<br>
<br>
<br>
 </td>
 <td align="center" width= 400 >
<a href="%ATTACHURLPATH%/FinalTESu_0_03_1pFirstTry_1607.eps"><img width="350" alt="" src="%ATTACHURLPATH%/FinalTESu_0_03_1pFirstTry_1607.png"/></a>     
<a href="%ATTACHURLPATH%/FinalTESu_16_25_3pFirstTry_1607.eps"><img width="350" alt="" src="%ATTACHURLPATH%/FinalTESu_16_25_3pFirstTry_1607.png"/></a> 
<a href="%ATTACHURLPATH%/ResolutionProng1.eps"><img width="350" alt="" src="%ATTACHURLPATH%/ResolutionProng1-1.png"/></a>     
<a href="%ATTACHURLPATH%/Eff_SignalComb_1P_FinalSetup_LLHvsMu.eps"><img width="350" alt="" src="%ATTACHURLPATH%/Eff_SignalComb_1P_FinalSetup_LLHvsMu.png"/></a>     
<a href="%ATTACHURLPATH%/Bkg_Data2012_1P_FinalSetup_LLHvsMu.eps"><img width="350" alt="" src="%ATTACHURLPATH%/Bkg_Data2012_1P_FinalSetup_LLHvsMu.png"/></a>     
<a href="%ATTACHURLPATH%/Eff_SignalComb_MP_FinalSetup_LLHvsMu.eps"><img width="350" alt="" src="%ATTACHURLPATH%/Eff_SignalComb_MP_FinalSetup_LLHvsMu.png"/></a>     
<a href="%ATTACHURLPATH%/Bkg_Data2012_MP_FinalSetup_LLHvsMu.eps"><img width="350" alt="" src="%ATTACHURLPATH%/Bkg_Data2012_MP_FinalSetup_LLHvsMu.png"/></a>     
<a href="%ATTACHURLPATH%/Eff_SignalComb_MP_FinalSetup_BDTvsMu.eps"><img width="350" alt="" src="%ATTACHURLPATH%/Eff_SignalComb_MP_FinalSetup_BDTvsMu.png"/></a>     
<a href="%ATTACHURLPATH%/Bkg_Data2012_MP_FinalSetup_BDTvsMu.eps"><img width="350" alt="" src="%ATTACHURLPATH%/Bkg_Data2012_MP_FinalSetup_BDTvsMu.png"/></a>     
</td>

</tr>
</table>


---++++ Performance Plots for Tau Identification in 2012 (12 Jun 2012)


<table class="twikiTable" width="97%" bgcolor=#f5f5fa  border=1 cellpadding=10 cellspacing=10>
<tr>
<td bgcolor=#eeeeee>
(Plot 1:) 
Signal e&#64259;ciencies for 1-prong &tau; candidates as a function of the number of reconstructed vertices for loose (green), medium (blue) and tight (red) selection for pT>20 !GeV and |&eta;| <2.3. The identi&#64257;cation was performed using a Boosted Decision Tree algorithm.  The e&#64259;ciencies were obtained using Z->&tau;&tau;, Z'->&tau;&tau; and W->&tau;&nu; Pythia8 samples. 
<br>
<br>
<br>
<br>
<br>
<br>
<br>
<br>
(Plot 2:) 
Background e&#64259;ciencies for 1-prong &tau; candidates as a function of the number of reconstructed vertices for loose (green), medium (blue) and tight (red) selection for pT>20 !GeV and |&eta;| <2.3. The identi&#64257;cation was performed using a Boosted Decision Tree algorithm.  The e&#64259;ciencies were obtained using 2012 dijet data samples with an integrated luminosity of 740 pb-1. 
<br>
<br>
<br>
<br>
<br>
<br>
<br>
<br>
(Plot 3:)
Inverse background e&#64259;ciency as a function of the signal e&#64259;ciency for 1-prong &tau; candidates with a pT > 20 !GeV and |&eta;| < 2.3. The signal e&#64259;ciencies were obtained using Z->&tau;&tau;,Z'->&tau;&tau; and W->&tau;&nu; Pythia 8 samples, while the background efficiencies were derived using 2012 dijet data samples. 
<br>
<br>
<br>
<br>
<br>
<br>
<br>
<br>
(Plot 4:)
Inverse background e&#64259;ciency as a function of the signal e&#64259;ciency for multi-prong &tau; candidates with a pT > 20 !GeV and |&eta;| < 2.3. Multi-prong &tau; candidates are de&#64257;ned as reconstructed &tau; candidates with 2 or 3 tracks and for the signal efficiency only true &tau; leptons decaying into three charged particles are considered.  The signal e&#64259;ciencies were obtained using Z->&tau;&tau;,Z'->&tau;&tau; and W->&tau;&nu; Pythia 8 samples, while the background efficiencies were derived using 2012 dijet data samples.
<br>
<br>
 </td>
 <td align="center" width= 400 >
<a href="%ATTACHURLPATH%/eff1P_BDTvsMu_Rebin_publicVersion.eps"><img width="250" alt="" src="%ATTACHURLPATH%/eff1P_BDTvsMu_Rebin_publicVersion.png"/></a>     
<a href="%ATTACHURLPATH%/bkg1P_BDTvsMu_Rebin_publicVersion.eps"><img width="250" alt="" src="%ATTACHURLPATH%/bkg1P_BDTvsMu_Rebin_publicVersion.png"/></a> 
<a href="%ATTACHURLPATH%/effvsrej_1P_publicVersion.eps"><img width="250" alt="" src="%ATTACHURLPATH%/effvsrej_1P_publicVersion.png"/></a>     
<a href="%ATTACHURLPATH%/effvsrej_MP_publicVersion.eps"><img width="250" alt="" src="%ATTACHURLPATH%/effvsrej_MP_publicVersion.png"/></a> 
</td>
</tr>
</table>

---+++ Event displays

---++++ Z->&tau;&tau; candidate event display (07 October 2010)

<table class="twikiTable" width="97%" bgcolor=#f5f5fa  border=1 cellpadding=10 cellspacing=10>
<tr>
<td bgcolor=#eeeeee>
This is a display of an event with a candidate Z->&tau;<sup>+</sup>&tau;<sup>-</sup>->&mu;<sup>+</sup>&nu;&nu;&tau;<sup>-</sup><sub>h</sub>&nu; decay in the ATLAS detector where &tau;<sub>h</sub> denotes a hadronic tau decay.<br>\
Event properties: <br> \
p<sub>T</sub>(&mu;) = 18 !GeV <br> \
p<sub>T</sub><sup>vis</sup>(&tau;<sub>h</sub>) = 26 !GeV <br> \
m<sub>vis</sub>(&mu; , &tau;<sub>h</sub>) = 47 !GeV <br> \
m<sub>T</sub>(&mu; , E<sub>T</sub><sup>miss</sup>) = 8 !GeV <br> \
E<sub>T</sub><sup>miss</sup> = 7 !GeV <br> \
The hadronic tau candidate has three well identified tracks. <br> \
The muon and tau candidate have opposite sign reconstructed charges. <br> \
No additional object (electron, muon or jet) was reconstructed in this event. 
 </td>
 <td align="center" width= 400 >
<a href="%ATTACHURLPATH%/Ztautau_event_display_run160613_event9209492_ed.png"><img width="300" alt="Z->tautau candidate event display" src="%ATTACHURLPATH%/Ztautau_event_display_run160613_event9209492_ed.png"/></a>   
</td>
</tr>
</table>


---++++ W->&tau;&nu; candidate event display (20 July 2010)

<table class="twikiTable" width="97%" bgcolor=#f5f5fa  border=1 cellpadding=10 cellspacing=10>
<tr>
<td bgcolor=#eeeeee>
<br>
<br>
<br>
A candidate for a W->&tau;&nu; decay, with a hadronically decaying tau, collected on 24 May 2010. <br>\
Event properties: <br> \
p<sub>T</sub>(&tau;) = 29 !GeV <br> \
E<sub>T</sub><sup>miss</sup> = 39 !GeV <br> \
&Delta;&phi;(&tau;, E<sub>T</sub><sup>miss</sup> ) = 3.1 <br> \
m<sub>T</sub> = 68 !GeV <br> <br> \
No additional object (electron, muon or jet) was found in the event. 
<br>
<br>
<br>
 </td>
 <td align="center" width= 400 >
<a href="https://twiki.cern.ch/twiki/pub/AtlasPublic/EventDisplayPublicResults/WtaunuCand-155697-6769403.png"><img width="300" alt="W->taunu candidate event display" src="https://twiki.cern.ch/twiki/pub/AtlasPublic/EventDisplayPublicResults/WtaunuCand-155697-6769403_thumb.png"/></a>   
</td>
</tr>
</table>



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Main.MichelJanus - 2017-11-29

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Attachments

Topic attachments
I	Attachment	History	Action	Size	Date	Who	Comment
eps	201202_tauid_bkgEff_1p_atlas.eps	r1	manage	16.4 K	2017-12-07 - 10:24	GianlucaPicco
png	201202_tauid_bkgEff_1p_atlas.png	r1	manage	29.8 K	2017-12-07 - 10:24	GianlucaPicco
eps	201202_tauid_bkgEff_mp_atlas.eps	r1	manage	16.7 K	2017-12-07 - 10:24	GianlucaPicco
png	201202_tauid_bkgEff_mp_atlas.png	r1	manage	28.6 K	2017-12-07 - 10:24	GianlucaPicco
eps	201202_tauid_roc_1p.eps	r1	manage	11.9 K	2017-12-07 - 10:24	GianlucaPicco
png	201202_tauid_roc_1p.png	r1	manage	31.6 K	2017-12-07 - 10:24	GianlucaPicco
eps	201202_tauid_roc_mp.eps	r1	manage	11.9 K	2017-12-07 - 10:24	GianlucaPicco
png	201202_tauid_roc_mp.png	r1	manage	32.7 K	2017-12-07 - 10:24	GianlucaPicco
eps	201202_tauid_sigEff_1p_atlas.eps	r1	manage	15.2 K	2017-12-07 - 10:24	GianlucaPicco
png	201202_tauid_sigEff_1p_atlas.png	r1	manage	27.9 K	2017-12-07 - 10:24	GianlucaPicco
eps	201202_tauid_sigEff_mp_atlas.eps	r1	manage	15.2 K	2017-12-07 - 10:25	GianlucaPicco
png	201202_tauid_sigEff_mp_atlas.png	r1	manage	28.2 K	2017-12-07 - 10:25	GianlucaPicco
pdf	201520162017_1prong_mc16d_postfit.pdf	r1	manage	19.2 K	2018-06-20 - 14:59	LucaFiorini	mvis 2017
png	201520162017_1prong_mc16d_postfit.png	r1	manage	23.2 K	2018-06-20 - 14:59	LucaFiorini	mvis 2017
pdf	201520162017_1prong_mc16d_prefit.pdf	r1	manage	19.2 K	2018-06-20 - 14:59	LucaFiorini	mvis 2017
png	201520162017_1prong_mc16d_prefit.png	r1	manage	23.4 K	2018-06-20 - 14:59	LucaFiorini	mvis 2017
pdf	201520162017_3prong_mc16d_postfit.pdf	r1	manage	19.3 K	2018-06-20 - 14:59	LucaFiorini	mvis 2017
png	201520162017_3prong_mc16d_postfit.png	r1	manage	24.9 K	2018-06-20 - 14:59	LucaFiorini	mvis 2017
pdf	201520162017_3prong_mc16d_prefit.pdf	r1	manage	19.3 K	2018-06-20 - 14:59	LucaFiorini	mvis 2017
pdf	20152016_1prong_postfit.pdf	r1	manage	19.3 K	2018-05-23 - 16:30	LucaFiorini	mvis plots
png	20152016_1prong_postfit.png	r1	manage	111.2 K	2018-05-23 - 16:30	LucaFiorini	mvis plots
pdf	20152016_1prong_prefit.pdf	r1	manage	19.2 K	2018-05-23 - 16:30	LucaFiorini	mvis plots
png	20152016_1prong_prefit.png	r1	manage	110.4 K	2018-05-23 - 16:30	LucaFiorini	mvis plots
pdf	20152016_3prong_postfit.pdf	r1	manage	19.5 K	2018-05-23 - 16:30	LucaFiorini	mvis plots
png	20152016_3prong_postfit.png	r1	manage	119.7 K	2018-05-23 - 16:30	LucaFiorini	mvis plots
pdf	20152016_3prong_prefit.pdf	r1	manage	19.5 K	2018-05-23 - 16:30	LucaFiorini	mvis plots
png	20152016_3prong_prefit.png	r1	manage	119.3 K	2018-05-23 - 16:30	LucaFiorini	mvis plots
pdf	2017_1prong_mc16d_postfit.pdf	r1	manage	19.2 K	2018-06-20 - 15:01	LucaFiorini	mvis 2017
png	2017_1prong_mc16d_postfit.png	r1	manage	24.3 K	2018-06-20 - 15:01	LucaFiorini	mvis 2017
pdf	2017_1prong_mc16d_prefit.pdf	r1	manage	19.2 K	2018-06-20 - 15:01	LucaFiorini	mvis 2017
png	2017_1prong_mc16d_prefit.png	r1	manage	24.0 K	2018-06-20 - 15:01	LucaFiorini	mvis 2017
pdf	2017_3prong_mc16d_postfit.pdf	r1	manage	19.4 K	2018-06-20 - 15:01	LucaFiorini	mvis 2017
png	2017_3prong_mc16d_postfit.png	r1	manage	25.8 K	2018-06-20 - 15:01	LucaFiorini	mvis 2017
pdf	2017_3prong_mc16d_prefit.pdf	r1	manage	19.4 K	2018-06-20 - 15:01	LucaFiorini	mvis 2017
png	2017_3prong_mc16d_prefit.png	r1	manage	25.8 K	2018-06-20 - 15:01	LucaFiorini	mvis 2017
eps	BDT_Tau_ID_Score.eps	r1	manage	27.5 K	2017-12-07 - 10:25	GianlucaPicco
png	BDT_Tau_ID_Score.png	r1	manage	16.5 K	2017-12-07 - 10:25	GianlucaPicco
eps	Bkg_Data2012_1P_FinalSetup_LLHvsMu.eps	r1	manage	17.5 K	2017-12-07 - 10:25	GianlucaPicco
png	Bkg_Data2012_1P_FinalSetup_LLHvsMu.png	r1	manage	18.5 K	2017-12-07 - 10:25	GianlucaPicco
eps	Bkg_Data2012_MP_FinalSetup_BDTvsMu.eps	r1	manage	17.2 K	2017-12-07 - 10:25	GianlucaPicco
png	Bkg_Data2012_MP_FinalSetup_BDTvsMu.png	r1	manage	19.0 K	2017-12-07 - 10:25	GianlucaPicco
eps	Bkg_Data2012_MP_FinalSetup_LLHvsMu.eps	r1	manage	17.2 K	2017-12-07 - 10:25	GianlucaPicco
png	Bkg_Data2012_MP_FinalSetup_LLHvsMu.png	r1	manage	18.5 K	2017-12-07 - 10:25	GianlucaPicco
eps	CONFNOTEResolutionProng.eps	r1	manage	9.3 K	2017-12-07 - 10:26	GianlucaPicco
png	CONFNOTEResolutionProng.png	r1	manage	11.8 K	2017-12-07 - 10:26	GianlucaPicco
eps	CalibrationFunctionProng1.eps	r1	manage	673.3 K	2017-12-07 - 10:26	GianlucaPicco
png	CalibrationFunctionProng1.png	r1	manage	15.0 K	2017-12-07 - 10:26	GianlucaPicco
eps	CalibrationFunctionProng3.eps	r1	manage	676.2 K	2017-12-07 - 10:26	GianlucaPicco
png	CalibrationFunctionProng3.png	r1	manage	16.3 K	2017-12-07 - 10:26	GianlucaPicco
eps	Eff_SignalComb_1P_FinalSetup_LLHvsMu.eps	r1	manage	15.0 K	2017-12-07 - 10:26	GianlucaPicco
png	Eff_SignalComb_1P_FinalSetup_LLHvsMu.png	r1	manage	17.1 K	2017-12-07 - 10:26	GianlucaPicco
eps	Eff_SignalComb_MP_FinalSetup_BDTvsMu.eps	r1	manage	14.9 K	2017-12-07 - 10:26	GianlucaPicco
png	Eff_SignalComb_MP_FinalSetup_BDTvsMu.png	r1	manage	17.5 K	2017-12-07 - 10:26	GianlucaPicco
eps	Eff_SignalComb_MP_FinalSetup_LLHvsMu.eps	r1	manage	14.9 K	2017-12-07 - 10:26	GianlucaPicco
png	Eff_SignalComb_MP_FinalSetup_LLHvsMu.png	r1	manage	17.3 K	2017-12-07 - 10:26	GianlucaPicco
eps	ElectronVetoBackgroundEfficiencyNVertex.eps	r1	manage	15.6 K	2017-12-07 - 10:26	GianlucaPicco
png	ElectronVetoBackgroundEfficiencyNVertex.png	r1	manage	22.5 K	2017-12-07 - 10:27	GianlucaPicco
eps	ElectronVetoBackgroundEfficiencyPT.eps	r1	manage	14.8 K	2017-12-07 - 10:27	GianlucaPicco
png	ElectronVetoBackgroundEfficiencyPT.png	r1	manage	22.3 K	2017-12-07 - 10:27	GianlucaPicco
eps	ElectronVetoBackgroundEfficiencyPTHigh.eps	r1	manage	20.7 K	2017-12-07 - 10:27	GianlucaPicco
png	ElectronVetoBackgroundEfficiencyPTHigh.png	r1	manage	26.5 K	2017-12-07 - 10:27	GianlucaPicco
eps	ElectronVetoROC.eps	r1	manage	13.5 K	2017-12-07 - 10:27	GianlucaPicco
png	ElectronVetoROC.png	r1	manage	31.4 K	2017-12-07 - 10:27	GianlucaPicco
eps	ElectronVetoSignalEfficiencyNVertex.eps	r1	manage	16.1 K	2017-12-07 - 10:27	GianlucaPicco
png	ElectronVetoSignalEfficiencyNVertex.png	r1	manage	21.9 K	2017-12-07 - 10:27	GianlucaPicco
eps	ElectronVetoSignalEfficiencyPT.eps	r1	manage	15.3 K	2017-12-07 - 10:27	GianlucaPicco
png	ElectronVetoSignalEfficiencyPT.png	r1	manage	21.6 K	2017-12-07 - 10:28	GianlucaPicco
eps	ElectronVetoSignalEfficiencyPTHigh.eps	r1	manage	19.5 K	2017-12-07 - 10:28	GianlucaPicco
png	ElectronVetoSignalEfficiencyPTHigh.png	r1	manage	23.4 K	2017-12-07 - 10:28	GianlucaPicco
eps	FinalTESu_0_03_1pFirstTry_1607.eps	r1	manage	9.8 K	2017-12-07 - 10:28	GianlucaPicco
png	FinalTESu_0_03_1pFirstTry_1607.png	r1	manage	17.7 K	2017-12-07 - 10:28	GianlucaPicco
eps	FinalTESu_0_03_1pmc12_BDTMEDIUM.eps	r1	manage	11.1 K	2017-12-07 - 10:28	GianlucaPicco
png	FinalTESu_0_03_1pmc12_BDTMEDIUM.png	r1	manage	19.1 K	2017-12-07 - 10:28	GianlucaPicco
eps	FinalTESu_16_25_3pFirstTry_1607.eps	r1	manage	10.1 K	2017-12-07 - 10:28	GianlucaPicco
png	FinalTESu_16_25_3pFirstTry_1607.png	r1	manage	19.1 K	2017-12-07 - 10:28	GianlucaPicco
eps	FinalTESu_16_25_3pmc12_BDTMEDIUM.eps	r1	manage	11.4 K	2017-12-07 - 10:28	GianlucaPicco
png	FinalTESu_16_25_3pmc12_BDTMEDIUM.png	r1	manage	20.3 K	2017-12-07 - 10:28	GianlucaPicco
eps	Mvis_2016.eps	r1	manage	26.5 K	2017-12-07 - 10:28	GianlucaPicco
png	Mvis_2016.png	r1	manage	18.6 K	2017-12-07 - 10:28	GianlucaPicco
png	ResolutionProng1-1.png	r1	manage	16.7 K	2017-12-07 - 10:28	GianlucaPicco
eps	ResolutionProng1.eps	r1	manage	15.2 K	2017-12-07 - 10:28	GianlucaPicco
eps	Visible_Mass_tau_mu.eps	r1	manage	31.3 K	2017-12-07 - 10:28	GianlucaPicco
png	Visible_Mass_tau_mu.png	r1	manage	17.5 K	2017-12-07 - 10:28	GianlucaPicco
png	WtaunuCand-155697-6769403.png	r1	manage	1599.1 K	2017-12-07 - 10:29	GianlucaPicco
png	WtaunuCand-155697-6769403_thumb.png	r1	manage	39.8 K	2017-12-07 - 10:28	GianlucaPicco
eps	Wtaunu_incFit_BDTM_OL.eps	r1	manage	14.3 K	2017-12-07 - 10:28	GianlucaPicco
png	Wtaunu_incFit_BDTM_OL.png	r1	manage	16.4 K	2017-12-07 - 10:28	GianlucaPicco
eps	Wtaunu_incFit_NOID_OL.eps	r1	manage	15.1 K	2017-12-07 - 10:28	GianlucaPicco
png	Wtaunu_incFit_NOID_OL.png	r1	manage	18.8 K	2017-12-07 - 10:28	GianlucaPicco
png	Ztautau_event_display_run160613_event9209492_ed.png	r1	manage	505.9 K	2017-12-07 - 10:29	GianlucaPicco
eps	bkg1P_BDTvsMu_Rebin_publicVersion.eps	r1	manage	17.4 K	2017-12-07 - 10:25	GianlucaPicco
png	bkg1P_BDTvsMu_Rebin_publicVersion.png	r1	manage	19.2 K	2017-12-07 - 10:25	GianlucaPicco
eps	c_IDEffWRTTruth1PTauJets_ptGeV_log_1P.eps	r1	manage	15.9 K	2017-12-07 - 10:25	GianlucaPicco
png	c_IDEffWRTTruth1PTauJets_ptGeV_log_1P.png	r1	manage	62.2 K	2017-12-07 - 10:25	GianlucaPicco
eps	c_IDEffWRTTruth1PTauJets_ptGeV_log_3P.eps	r1	manage	15.9 K	2017-12-07 - 10:25	GianlucaPicco
png	c_IDEffWRTTruth1PTauJets_ptGeV_log_3P.png	r1	manage	62.6 K	2017-12-07 - 10:25	GianlucaPicco
eps	c_ROCComparison_1Pposter.eps	r1	manage	15.5 K	2017-12-07 - 10:25	GianlucaPicco
png	c_ROCComparison_1Pposter.png	r1	manage	72.2 K	2017-12-07 - 10:25	GianlucaPicco
eps	c_ROCComparison_3Pposter.eps	r1	manage	15.8 K	2017-12-07 - 10:25	GianlucaPicco
png	c_ROCComparison_3Pposter.png	r1	manage	74.3 K	2017-12-07 - 10:25	GianlucaPicco
eps	eff1P_BDTvsMu_Rebin_publicVersion.eps	r1	manage	14.9 K	2017-12-07 - 10:26	GianlucaPicco
png	eff1P_BDTvsMu_Rebin_publicVersion.png	r1	manage	16.6 K	2017-12-07 - 10:26	GianlucaPicco
eps	effvsrej_1P_publicVersion.eps	r1	manage	11.7 K	2017-12-07 - 10:26	GianlucaPicco
png	effvsrej_1P_publicVersion.png	r1	manage	19.2 K	2017-12-07 - 10:26	GianlucaPicco
eps	effvsrej_MP_publicVersion.eps	r1	manage	11.9 K	2017-12-07 - 10:26	GianlucaPicco
png	effvsrej_MP_publicVersion.png	r1	manage	19.8 K	2017-12-07 - 10:26	GianlucaPicco
eps	effvsrej_MP_publicVersion_1.eps	r1	manage	11.9 K	2017-12-07 - 10:26	GianlucaPicco
eps	fitMuHadNew_1PmP_PtEtaAll_bdtM.eps	r1	manage	21.3 K	2017-12-07 - 10:28	GianlucaPicco
png	fitMuHadNew_1PmP_PtEtaAll_bdtM.png	r1	manage	18.8 K	2017-12-07 - 10:28	GianlucaPicco
eps	fitMuHadNew_inc_PtEtaAll_NoID.eps	r1	manage	19.5 K	2017-12-07 - 10:28	GianlucaPicco
png	fitMuHadNew_inc_PtEtaAll_NoID.png	r1	manage	16.8 K	2017-12-07 - 10:28	GianlucaPicco
pdf	roc.pdf	r1	manage	74.6 K	2018-05-23 - 16:38	LucaFiorini	Run2 bdt roc curve
png	roc.png	r1	manage	28.7 K	2018-05-23 - 16:38	LucaFiorini	Run2 bdt roc curve
pdf	uncertainties_pt_1p-medium.pdf	r1	manage	14.1 K	2018-05-23 - 16:33	LucaFiorini
png	uncertainties_pt_1p-medium.png	r1	manage	78.1 K	2018-05-23 - 16:33	LucaFiorini
pdf	uncertainties_pt_3p-medium.pdf	r1	manage	14.5 K	2018-05-23 - 16:33	LucaFiorini
png	uncertainties_pt_3p-medium.png	r1	manage	89.2 K	2018-05-23 - 16:33	LucaFiorini
pdf	uncertainties_tes_eta_1p-medium.pdf	r1	manage	15.0 K	2018-05-23 - 16:33	LucaFiorini
png	uncertainties_tes_eta_1p-medium.png	r1	manage	78.9 K	2018-05-23 - 16:33	LucaFiorini
pdf	uncertainties_tes_eta_3p-medium.pdf	r1	manage	14.9 K	2018-05-23 - 16:35	LucaFiorini
png	uncertainties_tes_eta_3p-medium.png	r1	manage	78.7 K	2018-05-23 - 16:35	LucaFiorini
pdf	uncertainties_tes_pt_1p-medium.pdf	r1	manage	14.3 K	2018-05-23 - 16:35	LucaFiorini
png	uncertainties_tes_pt_1p-medium.png	r1	manage	78.8 K	2018-05-23 - 16:35	LucaFiorini
pdf	uncertainties_tes_pt_3p-medium.pdf	r1	manage	14.4 K	2018-05-23 - 16:35	LucaFiorini
png	uncertainties_tes_pt_3p-medium.png	r1	manage	81.4 K	2018-05-23 - 16:35	LucaFiorini

Topic revision: r29 - 2022-05-16 - GianlucaPicco

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