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Setup |
Questions addressed in this lesson |
00:00 |
1. Introduction: Python background
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How much Python do we need to know?
What is “array-oriented” or “columnar” processing?
What is a “software ecosystem”?
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00:25 |
2. Basic file I/O with Uproot
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How can I find my data in a ROOT file?
How can I plot it?
How can I write new data to a ROOT file?
|
00:50 |
3. TTree details
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What are TBranches and TBaskets?
How can I read multiple TBranches at once?
How can I get ROOT data into NumPy or Pandas?
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01:15 |
4. Jagged, ragged, Awkward Arrays
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How do I cut particles, rather than events?
How do I compute quantities on combinations of particles?
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02:00 |
5. Histogram manipulations and fitting
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How do I fill histograms?
How do I project/slice/rebin pre-filled histograms?
How do I fit histograms?
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02:15 |
6. Lorentz vectors, particle PDG, jet-clustering, oh my!
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How do I compute deltaR, mass, coordinate transformations, etc.?
How do I get masses, decay widths, and other particle properties?
What about jet-clustering and other specialized algorithms?
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02:30 |
7. Tools for scaling up
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How do I turn working code fragments into batch jobs?
Where can I look for more help?
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02:40 |
Finish |
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The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.