IN2P3 School of Statistics 2022

Europe/Paris
Carry-le-Rouet

Carry-le-Rouet

Village Club Miléade de Carry-le-Rouet Chemin des Eaux Salées 13620 Carry-le-Rouet GPS : 43.333547/ 5.18062770
Yann Coadou (CPPM, Aix-Marseille Université, CNRS/IN2P3)
Description

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)

Participants
  • Adnan Ghribi
  • Alexandre BIGOT
  • Anja Butter
  • Antoine SYX
  • Arthur Thaller
  • Benjamin Blancon
  • Christopher Greenberg
  • David Rousseau
  • Denys SAVCHENKO
  • Dominique Touchard
  • Elsa Guy
  • Fares DJAMA
  • Frederic Druillole
  • Gabrielle Soum
  • Gaya Benane
  • Guillaume Albouy
  • Guillaume Chemin
  • Guillaume Grolleron
  • Guillaume MENTION
  • Hope Donglo
  • Jessy Daniel
  • Ji Eun CHOI
  • Jie Hu
  • Joel Dai
  • Johan Bregeon
  • Jules Colas
  • Lauri Laatu
  • Marie van Uffelen
  • Maxime Fernoux
  • Michail Kravchenko
  • Mohammad Mahdi Altakach
  • Mojahed Sameer Moh'D Abushawish
  • Nicolas Berger
  • Oleksii Lukianchuk
  • Pierre Charpentier
  • Qiuping Shen
  • Robin LEBOUCHER
  • Romain Madar
  • Samir El ketara
  • Sarah Herrmann
  • Sofia Vallecorsa
  • Thomas Wojtkowski
  • Théo BOSSIS
  • Timothee Pascal
  • Tyann Dumerchat
  • Veronica Sanz
  • Vidya Sagar VOBBILISETTI
  • Viet Dung Pham
  • Vincent Barra
  • Vincenzo Aronica
  • Vlad Dedu
  • Xalbat Aguerre
  • Xi Wang
  • Yann Coadou
  • Yulei Zhang
  • Zhibo Wu