Analysis Flow

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 skim your dataset so it is manageable for your analysis.

learn how to implement the most usual ingredients of an analysis, including estimating the luminosity, and the contribution of background processes.

be able to produce simple plots to show the results.

Prerequisites

In order to complete this lesson you need

An internet connection.

To have completed the basic physics objects lesson.

Schedule

	Setup	Before you start this lesson
00:00	1. Prep-work: Warming up for the Higgs to Ditau analysis	What will we do during this lesson? What should I do before the lesson starts tomorrow?
00:00	2. We will continue tomorrow
00:00	3. Demo: Datasets, trigger and luminosity	What is the strategy for the analysis flow example? What datasets and trigger do we need? How do we get integrated luminosities? How do we normalize MC simulations?
00:25	4. Demo: Skimming	Do we skim our data before perfoming the analysis study? How can I skim datasets efficiently with CMSSW
00:45	5. Break
01:00	6. Hands-on: EventLoopAnalysisTemplate	What kind of anlaysis code should I use for analyzing flat ROOT nuples? How can I build such a code?
01:40	7. Hands-on: Higgs to tau tau Analysis	What are the main ingredients for a basic Higgs to tau tau analysis How do I implement more sophisticated selection criteria?
02:25	8. Break
02:40	9. Offline Challenge: Data-driven QCD estimation	Is it possible to estimate the QCD contribution from data?
03:40	10. Solution and discussion	Where you able to find a way of implementing the data-driven QCD contribution? Did you notice anything different in our plots compared to the original ones?
04:20	Finish

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