Difference: ConnorsAnalysis-AnalysisTimeline (12 vs. 13)

Revision 132018-02-12 - ConnorGraham

  META TOPICPARENT 
 name="ConnorsAnalysis" 

Return the the main analysis page. 
 Switch to event timeline
- META TOPICPARENT
+ name="ConnorsAnalysis"
 Step 1: Generate a K_μ2 normalisation sample. [done] 
 Start by generating a sample of K_μ2 data with Pnn like cuts from one burst (current file) and organise some output histograms 
 Write a new analyser and tree to group useful output
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+ Apply Pnn like cuts
  Add a timing based MUV3 cut to select muon events
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+ Apply Pnn like cuts without PID
  Add a muon missing mass cut and a timing based MUV3 cut to select muon events
  Confirm compatibility of Pnn cuts, comment cuts as muon or Pnn, generally tidy up the code to finalise the cuts
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+Step 2: Calculate the acceptance "A_μ⁺ν" using all the muon MC with HTCondor. [started] 
 Select muon events at MC truth level [starting]
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+Step 2: Calculate the acceptance "A_μ⁺ν" using all the muon MC with HTCondor. [done] 
 Select muon events at MC truth level
  Take basic acceptance cut of 105 (possibly 115) to 165m
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+ Bin "passed" events by momentum as has been done in previous studies (15-20, 20-25, 25-30, 30-35 GeV)
  Calculate binned acceptance by dividing by all events that pass Kmu2 cuts, recorded using the same binning system, by the geometric acceptance binned numbers
 
Step 3: Run on as much 2016 data as possible with HTCondor to calculate a value for "N_μ⁺ν". 
 Run selection on run number 6431 (large, good quality run) to start with
  Run on Giuseppe's list of all good runs of 2016
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+ Bin events that pass all cuts by momentum as has been done in previous studies (15-20, 20-25, 25-30, 30-35 GeV)
  Calculate binned acceptance by dividing by all events that pass Kmu2 cuts, recorded using the binning system, by the number that passed the truth geometric acceptance (such that the bins sum to the total acceptance)
 
Step 3: Run on as much 2016 data as possible with HTCondor to calculate a value for "N_μ⁺ν". [almost finished] 
 Run selection on run number 6431 (large, good quality run) to start with [done]
  Run on Giuseppe's list of all good runs of 2016 [running]
 Step 4: Start looking at the efficiencies that don't cancel in the acceptances fraction "ε_r".
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+ Pion ID efficiency: where the efficiency of pion ID in Pnn data "ε_π^data(π⁺νν)" can be described by:
 
ε_π^data(π⁺νν) = ε_π^MC(π⁺νν)⋅^{ε_π^data(π⁺π⁰)}/_{ε_π^MC(π⁺π⁰)}
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+ Pion ID efficiency: where the efficiency of pion ID in Pnn data "ε_π^data(π⁺νν)" can be described by: [being studied by others]
 
ε_π^data(π⁺νν) = ε_π^MC(π⁺νν)⋅^{ε_π^data(π⁺π⁰)}/_{ε_π^MC(π⁺π⁰)}
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+where "ε_π^MC(π⁺νν)" is the efficiency of pion ID in Pnn MC (which is used to calculate the Pnn acceptance), "ε_π^data(π⁺π⁰)" is the efficiency of pion ID in π⁺π⁰ data and "ε_π^MC(π⁺π⁰)" is the efficiency of pion ID in π⁺π⁰ MC. Therefore, the Acceptance of Pnn "A_π⁺νν" must be corrected to:

A_π⁺νν⋅^{ε_π^data(π⁺π⁰)}/_{ε_π^MC(π⁺π⁰)}
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+where "ε_π^MC(π⁺νν)" is the efficiency of pion ID in Pnn MC (which is used to calculate the Pnn acceptance), "ε_π^data(π⁺π⁰)" is the efficiency of pion ID in π⁺π⁰ data and "ε_π^MC(π⁺π⁰)" is the efficiency of pion ID in π⁺π⁰ MC. Therefore, the Acceptance of Pnn "A_π⁺νν" must be corrected to:
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+A_π⁺νν⋅^{ε_π^data(π⁺π⁰)}/_{ε_π^MC(π⁺π⁰)}
  Matter interaction differences of muon and pion.
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+ Muon ID efficiency [should be done from the MC run]
  Trigger efficiencies
  Anything we missed?
 
 Run the (updated) 2016 cuts based analysis on the 2017 data [future] 
 
 Finish updating the user directory files (specifically CHODAnalysis) so that KaonEventAnalysis.cc runs correctly on 2017 data (check you are using the correct framework revision)

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