Speaker Tipo de Evento
Oct 3 2022 - 09:00 Beyond the Standard Models: Particle Physics meets Cosmology We aim to bring together experts in particle physics and cosmology working on BSM physics.​ Program
Oct 4 2022 - 12:00 Infinite Distances and Factorization John Stout John Stout will present the following paper (
Infinite Distances and Factorization, John Stout.
Oct 4 2022 - 15:00 Investigating phase transitions with machine learning methods Biagio Lucini Phase transitions occur in a variety of settings and situations in particle physics, condensed matter and statistical mechanics. Seminar
Oct 5 2022 - 12:00 Cosmology/gravity journal club Join the IFT cosmology/gravity journal club at to vote for papers and volunteer to present them. CosmoGrav Journal Club
Oct 6 2022 - 15:00 Lessons for dark matter from nonstandard cosmologies Leszek Roszkowski Most studies of the particle physics of the early Universe assume a simple standard thermal scenario of radiation domination between the end of cosmic inflation and the start of Big Bang Nucleosynt Seminar
Oct 10 2022 - 15:00 Magnetic scattering: pairwise little group and pairwise helicity Csaba Csaki I discuss how to construct a Lorentz-invariant S-matrix for the scattering of electrically and magnetically charged particles. Seminar
Oct 13 2022 - 12:00 New instabilities for non-supersymmetric AdS4 orientifold vacua Matteo Zatti Matteo will present the following paper ( SPLE-Club
Oct 13 2022 - 15:00 Non-perturbative decoupling of heavy quarks and the determination of alpha_s(m_Z) Stefan Sint The strong coupling is one of the fundamental parameters of the Standard Model and its precise determination from experiment is an important goal in itself.  A controlled error around half a percen Seminar
Oct 13 2022 - 17:00 'Quantum Gravity In De Sitter Space' Matilda Delgado Matilda Delgado will present the paper by Edward Witten. Old Journal Club
Oct 17 2022 - 15:00 Machine Learning applied to Cosmology Aurélien Decelle Recent progresses in Machine Learning have unlocked new possibilities to tackle scientific problems by means of Machine Learning methods, and already many applications have been developed both in a Seminar