This eighth edition of the IN2P3 School Of Statistics will give an overview of the concepts and tools used in particle physics, astroparticle physics and cosmology when probabilities and statistics come into play.
This school is targeted towards PhD students, postdocs and senior physicists, aiming at extending their knowledge and skills in the field of statistical tools and frameworks developed for their fields.
The school will take place from Monday 16 May 2022 to Friday 20 May 2022 at Carry-le-Rouet, in the region of Marseille.
The school combines lectures and hands-on sessions. The lectures are subdivided into three sections:
- a reminder of the fundamental concepts used in Probabilities, Statistics and Hypothesis testing applied to physics analysis;
- the presentation of the concepts and basics of the most popular multivariate techniques;
- and a section dedicated to actual multivariate tools and machine learning.
All lectures will be given in English.
The School Of Statistics is supported by CNRS/IN2P3.
Programme:
Courses:
- Basic concepts of statistics: Romain Madar (LPC, Clermont-Ferrand)
- Classical interval estimation, limits, systematics and beyond: Nicolas Berger (LAPP, Annecy)
- Introduction to machine learning: Vincent Barra (LIMOS, Clermont-Ferrand)
- Performance metrics; Boosted decision trees: Yann Coadou (CPPM, Marseille)
- Introduction to deep learning: Veronica Sanz (Universidad de Valencia, University of Sussex)
- Deep learning at colliders: Anja Butter (Universität Heidelberg)
- CERN quantum technology initiative: Sofia Vallecorsa (CERN)
Hands-on sessions (get ready !):
- Statistics: Guillaume Mention (CEA/IRFU, Saclay)
- Introduction to machine learning tools: David Rousseau (IJCLab, Orsay)
- Advanced machine learning: Veronica Sanz (Universidad de Valencia, University of Sussex)
Organizing Committee:
Johan Bregeon (LPSC, Grenoble), Éric Chabert (IPHC, Strasbourg), Nicolas Chanon (IP2I, Lyon), Yann Coadou (CPPM, Marseille, chair), Sabine Crépé-Renaudin (LPSC, Grenoble), Romain Madar (LPC, Clermont-Ferrand), Guillaume Mention (CEA/IRFU, Saclay), David Rousseau (IJCLab, Orsay)
Administrative Support:
Angélique Pèpe (CPPM, Marseille)
