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OverviewThis twiki is a place to collect all the plans, tasks, studies and results related to Azzah's PhD. The overall plan is here: AzzahPlan.pdf | ||||||||
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rc find_packages rc compile | ||||||||
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> > | %ENDCODE% Alternatively, using the ICHEP ntuples: %CODE{ lang="sh"}% export ATLAS_LOCAL_ROOT_BASE=/cvmfs/atlas.cern.ch/repo/ATLASLocalRootBase alias setupATLAS='source ${ATLAS_LOCAL_ROOT_BASE}/user/atlasLocalSetup.sh' setupATLAS --quiet setupATLAS mkdir PlotFactory _MayProduction_20.7_devbranch cd PlotFactory _MayProduction_20.7_devbranch export AnalysisTopVersion ="2.4.16" rcSetup Top,"${AnalysisTopVersion}" rc checkout_pkg svn+ssh://aalshehr@svn.cern.ch/reps/atlas-aknue/GlaProjects/PlotFactoryBoosted/devbranches/PlotFactoryBoosted_ttH_20.7/ rc checkout_pkg atlasoff/PhysicsAnalysis/TopPhys/TopPhysUtils/TopDataPreparation/trunk rc find_packages rc compile | |||||||
%ENDCODE% |
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OverviewThis twiki is a place to collect all the plans, tasks, studies and results related to Azzah's PhD. The overall plan is here: AzzahPlan.pdf | ||||||||
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setupATLAS mkdir PlotFactory_MayProduction_20.1_devbranch cd PlotFactory_MayProduction_20.1_devbranch | ||||||||
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< < | AnalysisTopVersion ="2.3.45a" | |||||||
> > | export AnalysisTopVersion ="2.3.45a" | |||||||
rcSetup Top,"${AnalysisTopVersion}" | ||||||||
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< < | rc checkout_pkg svn+ssh://azzahusername@svn.cern.ch/reps/atlas-aknue/GlaProjects/PlotFactoryBoosted/devbranches/PlotFactoryBoosted_ttH_20.1/ | |||||||
> > | rc checkout_pkg svn+ssh://aalshehr@svn.cern.ch/reps/atlas-aknue/GlaProjects/PlotFactoryBoosted/devbranches/PlotFactoryBoosted_ttH_20.1/ | |||||||
rc checkout_pkg atlasoff/PhysicsAnalysis/TopPhys/TopPhysUtils/TopDataPreparation/trunk rc checkout_pkg atlasoff/PhysicsAnalysis/TopPhys/xAOD/TopFakes/tags/TopFakes-00-00-08 |
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OverviewThis twiki is a place to collect all the plans, tasks, studies and results related to Azzah's PhD. The overall plan is here: AzzahPlan.pdf |
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OverviewThis twiki is a place to collect all the plans, tasks, studies and results related to Azzah's PhD. The overall plan is here: AzzahPlan.pdf | ||||||||
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AnalysisTopVersion ="2.3.45a" rcSetup Top,"${AnalysisTopVersion}" | ||||||||
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< < | rc checkout_pkg svn+ssh://azzahusername@svn.cern.ch/reps/atlas-aknue/GlaProjects/PlotFactoryBoosted/devbranch/PlotFactoryBoosted_ttH_20.1/ | |||||||
> > | rc checkout_pkg svn+ssh://azzahusername@svn.cern.ch/reps/atlas-aknue/GlaProjects/PlotFactoryBoosted/devbranches/PlotFactoryBoosted_ttH_20.1/ | |||||||
rc checkout_pkg atlasoff/PhysicsAnalysis/TopPhys/TopPhysUtils/TopDataPreparation/trunk rc checkout_pkg atlasoff/PhysicsAnalysis/TopPhys/xAOD/TopFakes/tags/TopFakes-00-00-08 |
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OverviewThis twiki is a place to collect all the plans, tasks, studies and results related to Azzah's PhD. The overall plan is here: AzzahPlan.pdf | ||||||||
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https://svnweb.cern.ch/cern/wsvn/atlas-aknue/GlaProjects/PlotFactoryBoosted/ | ||||||||
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> > | Set-up and compile the code: %CODE{ lang="sh"}% export ATLAS_LOCAL_ROOT_BASE=/cvmfs/atlas.cern.ch/repo/ATLASLocalRootBase alias setupATLAS='source ${ATLAS_LOCAL_ROOT_BASE}/user/atlasLocalSetup.sh' setupATLAS --quiet setupATLAS mkdir PlotFactory _MayProduction_20.1_devbranch cd PlotFactory _MayProduction_20.1_devbranch AnalysisTopVersion ="2.3.45a" rcSetup Top,"${AnalysisTopVersion}" rc checkout_pkg svn+ssh://azzahusername@svn.cern.ch/reps/atlas-aknue/GlaProjects/PlotFactoryBoosted/devbranch/PlotFactoryBoosted_ttH_20.1/ rc checkout_pkg atlasoff/PhysicsAnalysis/TopPhys/TopPhysUtils/TopDataPreparation/trunk rc checkout_pkg atlasoff/PhysicsAnalysis/TopPhys/xAOD/TopFakes/tags/TopFakes-00-00-08 rc find_packages rc compile %ENDCODE% | |||||||
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OverviewThis twiki is a place to collect all the plans, tasks, studies and results related to Azzah's PhD. The overall plan is here: AzzahPlan.pdf | ||||||||
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KLFitter runs over the permutations of the 4 jets that we specify it should use: currently the 4 highest pT jets. The assumption we make is that these are the 3 jets from the hadronic top and one from the leptonic top. However, it is perfectly possible that one of these jets is the 5th or 6th jet in order of pT. In this case we have given one or more "non-ttbar" jets to the fitter and so the fitter will never find the correct permutation. This results in a low efficiency overall. Aim: to measure the efficiency that first 4 jets are actually the ttbar jets that we want: | ||||||||
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< < | ![]() | |||||||
> > | <latex>\epsilon = \frac{\rm{4 ~matches}}{\rm{all ~events}}</latex> | |||||||
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The list is not complete but covers most of the important points. Prepare a document with your answers to these questions in a LaTeX document, as you will certainly find this a useful thing to refer back to in the future.
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> > | 4. Make a complete set of control plots for all resolved ttH analysis regionsFor this you will need to run plot factory: | |||||||
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> > | https://svnweb.cern.ch/cern/wsvn/atlas-aknue/GlaProjects/PlotFactoryBoosted/
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Useful LinksAnalysisTop: https://twiki.cern.ch/twiki/bin/viewauth/AtlasProtected/TopxAODStartGuide![]() |
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OverviewThis twiki is a place to collect all the plans, tasks, studies and results related to Azzah's PhD. The overall plan is here: AzzahPlan.pdf | ||||||||
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KLFitter runs over the permutations of the 4 jets that we specify it should use: currently the 4 highest pT jets. The assumption we make is that these are the 3 jets from the hadronic top and one from the leptonic top. However, it is perfectly possible that one of these jets is the 5th or 6th jet in order of pT. In this case we have given one or more "non-ttbar" jets to the fitter and so the fitter will never find the correct permutation. This results in a low efficiency overall. Aim: to measure the efficiency that first 4 jets are actually the ttbar jets that we want: | ||||||||
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< < | <latex>\epsilon = \frac{\rm{4 ~matches}}{\rm{all ~events}}</latex> | |||||||
> > | ![]() | |||||||
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< < | Understanding the KLFitter performance in ttbar events | |||||||
> > | This twiki is a place to collect all the plans, tasks, studies and results related to Azzah's PhD. The overall plan is here: AzzahPlan.pdf
The studies to be carried out (and those already completed) are included in this twiki:
1. Understanding the KLFitter performance in ttbar events | |||||||
How often do we give the correct jets to KLFitter?KLFitter runs over the permutations of the 4 jets that we specify it should use: currently the 4 highest pT jets. The assumption we make is that these are the 3 jets from the hadronic top and one from the leptonic top. However, it is perfectly possible that one of these jets is the 5th or 6th jet in order of pT. In this case we have given one or more "non-ttbar" jets to the fitter and so the fitter will never find the correct permutation. This results in a low efficiency overall. Aim: to measure the efficiency that first 4 jets are actually the ttbar jets that we want: | ||||||||
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< < | ![]() | |||||||
> > | <latex>\epsilon = \frac{\rm{4 ~matches}}{\rm{all ~events}}</latex> | |||||||
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< < | Extending KLFitter to be used with ttH events | |||||||
> > | 2. Extending KLFitter to be used with ttH events | |||||||
Adjust KLFitter likelihood | ||||||||
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> > | More details to come soon....
3. Understanding the ttH analysis strategy through review of the Run-1 publicationFor the first results, the 13TeV ttH analysis will follow the Run-1 ttH analysis very closely. Therefore, having a very thorough understanding of the 8TeV analysis is crucial for successfully completing the tasks outlined in your thesis plan. For this reason, we recommended studying the 8TeV ttH analysis very carefully. Having carried out this review, you will be able to give a presentation about ttH analysis in a Glasgow ATLAS meeting.List of questions to answerHere is a list of questions designed to guide you to what are the most important points to understand about the analysis: TTH_Questions.pdf The list is not complete but covers most of the important points. Prepare a document with your answers to these questions in a LaTeX document, as you will certainly find this a useful thing to refer back to in the future. | |||||||
Useful LinksAnalysisTop: https://twiki.cern.ch/twiki/bin/viewauth/AtlasProtected/TopxAODStartGuide![]() | ||||||||
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TTHbbLeptonic twiki: https://twiki.cern.ch/twiki/bin/view/AtlasProtected/TtH_Run2_Analysis_FrameWork![]() ![]() | ||||||||
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< < | Run-1 ttH analysis Links | |||||||
> > | Run-1 ttH analysis Links | |||||||
paper: http://arxiv.org/abs/1503.05066![]() | ||||||||
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TTHbbLeptonic twiki: https://twiki.cern.ch/twiki/bin/view/AtlasProtected/TtH_Run2_Analysis_FrameWork![]() ![]() | ||||||||
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> > | Run-1 ttH analysis Linkspaper: http://arxiv.org/abs/1503.05066![]() ![]() ![]() | |||||||
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What is the effect on the KLFitter reconstruction efficiency of changing the set of jets in >=4 jets, >=2 b-tags?
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Extending KLFitter to be used with ttH events |
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> > | What is the effect on the KLFitter reconstruction efficiency of changing the set of jets in >=4 jets, >=2 b-tags?
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Extending KLFitter to be used with ttH eventsAdjust KLFitter likelihood |
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Is there a better set of jets to give to KLFitter? | ||||||||
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< < | We currently use the leading 4 jets (in order of pT) as input to KLFitter. Are there other sets of 4 jets which would give us a higher efficiency for 4 matches (as measured above). Repeat the study above for different set of 4 jets, e.g. | |||||||
> > | We currently use the leading 4 jets (in order of pT) as input to KLFitter. Are there other sets of 4 jets which would give us a higher efficiency for 4 matches (as measured above)? For example, we could give priority to b-tagged jets. To do this we will select events with b-tags, so first we must look at the change in 4-match efficiency when we change the selection.
What is the change in efficiency for 4 matches when we require b-tagged jets in the event selection?
What is the effect (on matching efficiency) of changing the set of jets in >=4 jets, >=2 b-tags?Even in events with >=4 jets, >=2 b-tags, if we consider only the first 4 jets (in order of pT) then there will be times where we are not using the b-tagged jets in KLFitter. This is because they may be the 5th or 6th jet in pT. Since we are studying the best set to give to KLFitter, it might be better to choose the set in another way. Next you should study the efficiency of 4 matches, 3 matches, 2 matches, 1 match and no matches for different choices of sets of jets. | |||||||
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AnalysisTop: https://twiki.cern.ch/twiki/bin/viewauth/AtlasProtected/TopxAODStartGuide![]() | ||||||||
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> > | KLFitter twiki: https://twiki.cern.ch/twiki/bin/viewauth/AtlasProtected/KLFitter![]() | |||||||
TTHbbLeptonic SVN: https://svnweb.cern.ch/cern/wsvn/atlasphys-hsg8/Physics/Higgs/HSG8/AnalysisCode/![]() ![]() |
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Is there a better set of jets to give to KLFitter? |
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> > | Overview
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< < | Article text. | |||||||
> > | Understanding the KLFitter performance in ttbar eventsHow often do we give the correct jets to KLFitter? | |||||||
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< < | To-do list | |||||||
> > | KLFitter runs over the permutations of the 4 jets that we specify it should use: currently the 4 highest pT jets. The assumption we make is that these are the 3 jets from the hadronic top and one from the leptonic top. However, it is perfectly possible that one of these jets is the 5th or 6th jet in order of pT. In this case we have given one or more "non-ttbar" jets to the fitter and so the fitter will never find the correct permutation. This results in a low efficiency overall. Aim: to measure the efficiency that first 4 jets are actually the ttbar jets that we want: | |||||||
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< < | | |||||||
> > | ![]()
Is there a better set of jets to give to KLFitter?We currently use the leading 4 jets (in order of pT) as input to KLFitter. Are there other sets of 4 jets which would give us a higher efficiency for 4 matches (as measured above). Repeat the study above for different set of 4 jets, e.g.
Extending KLFitter to be used with ttH eventsAdjust KLFitter likelihood | |||||||
Useful Links |
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> > | Plans and To-Do listArticle text.To-do listUseful LinksAnalysisTop: https://twiki.cern.ch/twiki/bin/viewauth/AtlasProtected/TopxAODStartGuide![]() ![]() ![]() ![]() Comments |