IN2P3 School of Statistics 2024

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 ninth 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 and engineers, aiming at extending their knowledge and skills in the field of statistical tools and frameworks developed for their fields.

The school is taking place from Monday 13 May 2024 to Friday 17 May 2024 in Carry-le-Rouet, close to 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, followed by more advanced topics;
  • the presentation of the concepts and basics of the most popular multivariate techniques;
  • and a section dedicated to actual machine learning tools.

All lectures will be given in English.

The School Of Statistics is supported by CNRS/IN2P3.

Programme:

Courses:

  • Basic concepts of statistics: Romain Madar (LPCA, Clermont-Ferrand)
  • Classical interval estimation, limits, systematics and beyond: Adinda de Wit (LLR, Palaiseau)
  • Bayesian statistics: Leïla Haegel (IP2I, Lyon)
  • Unfolding: Philippe Gras (CEA/IRFU, Saclay)
  • Introduction to machine learning: Vincent Barra (UCA, Clermont-Ferrand)
  • Performance metrics; Boosted decision trees: Yann Coadou (CPPM, Marseille)
  • Introduction to deep learning: Florian Ruppin (Université Lyon 1 - IP2I)
  • Advanced deep learning: Tobias Golling (University of Geneva)
  • Simulation based inference: Cyrille Doux (LPSC, Grenoble)

 

Hands-on sessions (get ready !):

  • Statistics: Adinda de Wit (LLR, Palaiseau)
  • Introduction to machine learning tools: David Rousseau (IJCLab, Orsay)
  • Advanced machine learning: Florian Ruppin (Université Lyon 1 - IP2I)

 

Organizing Committee:

Johan Bregeon (LPSC, Grenoble), Éric Chabert (IPHC, Strasbourg), Yann Coadou (CPPM, Marseille, chair), Sabine Crépé-Renaudin (LPSC, Grenoble), Leïla Haegel (IP2I, Lyon), Emille Ishida (LPCA, Clermont-Ferrand), Romain Madar (LPCA, Clermont-Ferrand), Guillaume Mention (CEA/IRFU, Saclay), David Rousseau (IJCLab, Orsay)

Administrative Support:

Angélique Pèpe (CPPM, Marseille)

Participants
  • Adinda de Wit
  • Adélie André
  • Alicia Garnier
  • Amazigh OUZRIAT
  • Arthur Lafarge
  • Benjamin Massoteau
  • Caterina Ciampi
  • Charles Soto
  • Corentin Santos
  • David Rousseau
  • Eric CHABERT
  • Florian Ruppin
  • Gaël Coulon
  • Grigorii Tolkachev
  • Ines Bentara
  • Isaac-Paul Consigny
  • Jie Xiao
  • Joshua Pinchault
  • Leonardo Splendori
  • Lida Kalipoliti
  • Marina Masson
  • Michele Citran
  • Mélissa LEROY
  • Nicolas Martini
  • Philippe Gras
  • Raphael Bertrand
  • Raïssa Costa Barroso
  • Renaud SERRA
  • RENE GASTAUD
  • Romain Martin
  • Santiago Peña Martinez
  • Thiziri AMEZZA
  • Thomas Clouvel
  • Tobias Golling
  • vincent barra
  • Yann Coadou
  • +24