Spring school in Arithmetic Statistics
École de printemps en statistiques arithmétiques
8 – 12 May 2023
INTRANET FOR ORGANIZERS
All pre-registrations done before February 1st will receive full consideration.
The final list of participants will be decided by the scientific and organizing committees.
IMPORTANT WARNING: Scam / Phishing / SMiShing ! Note that ill-intentioned people may be trying to contact some of participants by email or phone to get money and personal details, by pretending to be part of the staff of our conference center (CIRM). CIRM and the organizers will NEVER contact you by phone on this issue and will NEVER ask you to pay for accommodation/ board / possible registration fee in advance. Any due payment will be taken onsite at CIRM during your stay.
The spring school serves an introduction to the conference « Arithmetic Statistics », and aims to provide PhD students and early stage researchers with the necessary background to enable them to fruitfully partake in the conference. lt will also be an occasion for Master students to have an introduction towards research in number theory.
Along with lecture courses, there will be exercise sessions and a possibility to work on small research projects under the guidance of the lecturers and the researchers proposing them.
The lecture courses will take place in the mornings, while exercise sessions will take place in the afternoon, with extra time allotted for round tables and work in groups.
Lecture courses thematics are the following:
- Galois representations and Diophantine equations,
- Complex Multiplication,
- Class field theory,
- Zeta functions and L-functions,
- Abelian varieties.
Cours/ Lecture courses
– Galois representations and statistics :
– Complex Multiplication :
– Class field theory :
– Frobenius distributions:
Samuele Anni (Aix-Marseille Université),
Nirvana Coppola (University of Pisa)
Kiran Kedlaya (University of California San Diego)
Eugenia Rosu (Universitat Regensburg),
René Schoof (Università di Roma “Tor Vergata”)
Peter Stevenhagen (Leiden University)
Andrew Sutherland (Massachusetts Institute of Technology)
Jan Vonk (Leiden University)