This lesson is being piloted (Beta version)

Simplified Run 2 Analysis

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What is this lesson about?

Welcome. In this lesson you will:

  • learn how to connect everything you have learned so far in order to exercise a full (or almost full) analysis example
  • learn how to implement the most usual ingredients of an analysis and the construct an analysis chain
  • be able to produce plots to show the results
  • learn about estimating systematics and statistical aspects of the analysis

Prerequisites

To follow this lesson you need to start the python tools Docker container from the pre-exercises:

docker start -i my_python  #give the name of your container

Schedule

Setup Before we begin
00:00 1. Introduction What analysis will we be doing?
What is columnar analysis?
Why do we use coffea?
What are coffea main components?
What are schemas?
00:40 2. Coffea Analysis What is the general plan for the analysis?
What are the selection requirements?
How do I implement additional selection requirements?
What are Coffea Processors?
How do I run an analysis with Coffea?
02:00 3. Break Should we get some coffea?
02:30 4. Systematics and Statistics How are systematic variations handled in Coffea?
How do we perform statistical inference?
What tools do we use?
How do we visualize and interpret our results?
04:00 Finish

The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.