Plan for Tutorial parts I - IV:
In this tutorial we will go through the main features of the Combine software package which provides a command-line interface to many different statistical techniques, available inside RooFit/RooStats, that are used widely inside CMS.
In the first part of the tutorial we’ll explain the format of the Combine configuration file (datacard), and then discuss how...
Plan for Lectures I - III:
LHC Physics with its vast amount of data and its precise first-principle simulations is a perfect case for using modern machine learning techniques. This includes data acquisition, analysis, simulations, and inference. I will introduce the main ML-concepts and ML-tools in a physics-specific manner, with a focus on statistics aspects. I will start by introducing...
What you mean by ‘the error on the result’, which is not as simple as you think.
- Bayesian and frequentist probability and confidence.
- The Neyman construction.
- Statistical and systematic uncertainties
- Asymmetric uncertainties and how to handle them
Looking back, a reminder of what you’ve learned in the week and, looking forward, how you’re likely to use it.
