Summary and Schedule
This is a new lesson built with The Carpentries Workbench.
| Setup Instructions | Download files required for the lesson | |
| Duration: 00h 00m | 1. What are backgrounds |
What do we mean when we say “backgrounds”? Are all backgrounds the same? What do we mean by “model backgrounds”? |
| Duration: 00h 11m | 2. Data-driven background estimation |
Can we use the actual data to estimate backgrounds? What are the downsides to this approach? |
| Duration: 00h 33m | 3. Simulation-based background estimation |
How can we use our simulation samples to estimate our
background? Can we use our simulation samples “as-is”? |
| Duration: 01h 04m | Finish |
The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.
Overview
Questions
- How should I prepare for this lesson?
Objectives
- Make sure you can open the Docker container and run Jupyter lab
Introduction
We will be making heavy use of the python docker container that you learned about in the pre-exercises. You may have already used it in other lessons in this workshop.
Key Points
- Make sure you are familiar with Docker and the CMS Open Data containers