Now that we have learned all these computing skills, we will now apply them to an example workflow. We will learn the basics of analysis from defining our objects to start to make a selection.
Prerequisites
This assumes that you’ll have a basic knowledge of git, cmake, for example:
- How to add git submodules
- How to generate a
Makefilefrom aCMakeLists.txtThis lesson will also build on the
AnalysisPayloadproject started in the previous ATLAS GitLab lesson.
| Setup | Download files required for the lesson | |
| 00:00 | 1. Introduction to ATLAS workflow |
What process are we looking at?
What is the workflow used for? |
| 00:20 | 2. Adding object kinematic selection modules | How do I prepare a workspace and add two new modules? |
| 00:40 | 3. Understanding the analysis organization |
How can I structure my analysis code?
How can I make kinematic selection on our objects? |
| 01:10 | 4. Integrating submodules |
How can I integrate my submodules into the analysis code?
What changes to cmake will I need to do to add the new libraries? |
| 01:50 | 5. Coffee break! |
How much coffee can you drink in 20 minutes?
Is Peet’s coffee better than Starbuck’s coffee? Did you make any cookies? |
| 01:50 | 6. Analysis selection | How can I create a simple analysis selection? |
| 02:30 | 7. Cutflow | How do I use all my variables to construct an analysis? |
| 03:00 | 8. Optional: Using condor | How can I run this analysis on condor? |
| 03:30 | Finish |
The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.