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Connor Graham's Analysis

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This page summarises key points and events from my PhD analysis. My thesis topic is an analysis of 2017 data from the NA62 experiment at CERN, to make a measurement of the branching fraction K+→π+νν to 10% Standard Model sensitivity.
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This page summarises key points and events from my PhD analysis. My thesis topic is an analysis of 2017 data from the NA62 experiment at CERN, to make a measurement of the branching fraction K+→π+νν to 10% Standard Model sensitivity.
 

Timeline

Non-analysis work this week:

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  • Obtained new grid certificate and am in the process of converting it from .p12 to .pem for Dirac and updating my associated readme file [done]
    • VO Northgrid membership has expired, need to sort this out [should be ok actually, it's the old membership]
  • Swapped my dosimeter as requested (for annual calibration and checks)
  • Fixed the dates on the meeting slides
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  • Wrote a code for writing useful histograms to .pdf, see the codes section below
 

NA62 meetings

Analysis meetings:

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 Generating a Kμ2 normalisation sample to compare the ππ0 and μ+ν normalised branching ratio values, to determine if anything has been missed in the systematics.
  • Step 1: Start generating a sample of Kμ2 data with PNN like cuts from one burst (current file) and organise some output histograms [in progress]
    • Write a new tree to group useful output [done along with a new function in the code]
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    • Still to get started on PNN like cuts
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    • Still to get started on PNN like cuts [ongoing]
 
  • Step 2: Test on 100 bursts with HTCondor (Stoyan will send me the instructions readme and associated codes when required)
    • Refine cuts and output histograms etc...
  • Step 3: Run on 1k bursts (average run) with HTCondor to try and get some good results
    • e.g. the number of kaon decays for Kμ2
  • Important: The acceptance of each decay has to be studied carefully as not all elements cancel, so everything has to be considered for how it could affect the acceptance with respect to the other decay (PNN or Kμ2)
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Possible parallel MC work:
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Possible parallel MC work: [no further information on this as of yet]
 
  • Altering the Geant4 setup to change the hadronic interaction probability in GTK3 to 1
  • Generating on the order of 100M events
  • Comparing with data
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  • --build-user-only speeds up the build if the framework is built and up-to-date (wouldn't advise this unless this analyser has been built at least once completely)
  • -j 60 uses more cores to run the build, also speeding it up

Code

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Current version of my Kμ2 normalisation sample code on 02/11/17 (runs with data and r1720 of the Git framework): /codes/kmu2norm/KaonEventAnalysis.cc (.hh also in this directory, as required to build)
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