Lecture notes
EFFECTIVE FIELD THEORY IN COSMOLOGY
Daniel Baumann, Amsterdam University, The Netherlands.
RANDOM MATRICES
Sebastien Renaux-Petel, Institut d'Astrophysique de Paris, France.
- Random Matrix Theory and applications in cosmology.
- RMT-Wigner (Mathematica).
BAYESIAN INFERENCE: PRINCIPLES AND TECHNIQUES
Roberto Trotta, Imperial College, London, United Kingdom.
COMPUTATIONAL METHODS IN COSMOLOGY
Klaus Dolag, Max Planck Institut für Astrophysik, and Alexander Arth, Universitäts-Sternwarte, München, Germany.
- Methods for Cosmological Simulations (N-Body/Hydro/Initial-conditions).
- Numerical Treatment of Physical Processes (Star-Formation and Black-Holes, Magnetic-Fields, Transport-Processes).
All materials for these lectures are here
ADVANCED TOPICS IN (BAYESIAN) DATA ANALYSIS
Daniela Huppenkotehn, DIRAC Institute, University of Washington, USA
All materials for these lectures are here
A SHORT HISTORY OF THE COSMOLOGICAL THINKING
Ugo Moschella, DISAT, Università dell'Insubria, Italy
Other ressources
Here are some ressources that could help to understand some lectures.
Primordial Cosmology, P. Peter and J.-P. Uzan, Oxford Graduate Texts, 2013.
Post-Planck Cosmology, C. Deffayet, P. Peter, B.n Wandelt, M. Zaldarriaga, and L. F. Cugliandolo, Lecture Notes of the Les Houches Summer School: Volume 100, 2013
Des défauts dans l'Univers Cordes cosmiques et autres trous de l'espace-temps, P. Peter , A. Gangui, CNRS Editions, 2003.