Difference: TauPublicResults (23 vs. 24)

Revision 242018-06-22 - LucaFiorini

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META TOPICPARENT name="WebHome"
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Performance Plot for Summer 2018 (May 2018)

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Performance Plot for Summer 2018 (May 2018) NEW

 

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Inverse background efficiency as a function of the signal efficiency with a Boosted Decision Tree (BDT) algorithm for τ_had−vis candidates with a pT>20 GeV and |η|<2.5. The signal efficiencies are obtained using γ*→ττ simulated events. The background efficiencies are derived using multi-jet simulated events and are calculated with respect to all candidates with exactly one (three) reconstructed track. The dots represent the Working points recommended for ATLAS physics analyses: Very Loose, Loose, Medium and Tight.
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Tau Identification and Energy Scale performance: Preliminary Public Plots
 

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Plots, more infos
 

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Systematic uncertainty on the tau track counting and identification for 1-prong and 3-prong τ_had−vis decays passing the medium identification requirement, 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 uncertainty estimation is performed with 2016 p-p collisions data and the method is similar to that described in ATLAS-CONF-2017-029 for 2015 data.




Systematic uncertainty on the tau energy scale estimated with 2015 and 2016 LHC data as a function of pT and η for 1-prong and 3-prong τhad−vis decays passing the medium identification requirement and whose energy is calibrated using a Boosted Regression Tree (BRT). 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 uncertainty estimation is performed with 2016 p-p collisions data. The BRT calibration and the uncertainty estimation method are described in ATLAS-CONF-2017-029 for 2015 data.




The visible mass reconstructed using isolated muons and offline 1-prong and 3-prong τhad−vis candidate passing the medium identification requirement. The Z mass peak is observed in an enriched sample of Z→τ_μ τ_had−vis events from the 2015, 2016 and 2017 dataset in 13 TeV collisions, corresponding to an integrated luminosity of 80 fb-1. These events are collected using a single muon trigger. The τhad−vis energy is calibrated using a Boosted Regression Tree (BRT). The energy calibration, event selections and background estimations are described in ATL-CONF-2017-029. The top (bottom) plot shows the mass distribution before (after) applying the in-situ energy correction obtained from the fit of the visible mass. Only statistical uncertainties are shown.



 
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The visible mass reconstructed using isolated muons and offline 1-prong and 3-prong τhad−vis candidate passing the medium identification requirement. The Z mass peak is observed in an enriched sample of Z→τ_μ τ_had−vis events from the 2017 dataset in 13 TeV collisions, corresponding to an integrated luminosity of 44 fb-1. These events are collected using a single muon trigger. The τhad−vis energy is calibrated using a Boosted Regression Tree (BRT). The energy calibration, event selections and background estimations are described in ATL-CONF-2017-029. The top (bottom) plot shows the mass distribution before (after) applying the in-situ energy correction obtained from the fit of the visible mass. Only statistical uncertainties are shown.




The visible mass reconstructed using isolated muons and offline 1-prong and 3-prong τhad−vis candidate passing the medium identification requirement. The Z mass peak is observed in an enriched sample of Z→τ_μ τ_had−vis events from the 2015 and 2016 dataset in 13 TeV collisions, corresponding to an integrated luminosity of 36 fb-1. These events are collected using a single muon trigger. The τhad−vis energy is calibrated using a Boosted Regression Tree (BRT). The energy calibration, event selections and background estimations are described in ATL-CONF-2017-029. The top (bottom) plot shows the mass distribution before (after) applying the in-situ energy correction obtained from the fit of the visible mass. Only statistical uncertainties are shown.



 

Performance Plot for HL-LHC Workshop 2017 (October 2017)

 
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