Central European Institute for Cosmology and Fundamental Physics
 

Upcoming seminars

23/01/2020, 16:00 Chris Clarkson (Queen Mary University of London) - CANCELLED , General relativity in the era of large scale surveys

29/01/2020, 14:00 Harold Erbin (University of Turin), Machine learning for QFT

30/01/2020, 16:00 Tomas Ledvinka (Charles University, Prague), Dynamic vacuum spacetimes in a computer

13/02/2020, 16:00 Paolo Creminelli (ICTP, Trieste), Initial Conditions for Inflation

27/02/2020, 16:00 Elias Kiritsis (APC, Paris & Crete University), TBA

05/03/2020, 16:00 Famaey Benoit (Observatoire astronomique de Strasbourg) , TBA

12/03/2020, 16:00 Alkistis Pourtsidou (Queen Mary University of London), TBA

19/03/2020, 16:00 Anne Green (University of Nottingham), TBA

26/03/2020, 16:00 Filip Preucil (Charles University, Prague), TBA

02/04/2020, 16:00 Eiichiro Komatsu (MPI for Astrophysics, Munich), TBA

23/04/2020, 16:00 Mikhail Shaposhnikov (EPFL, Lausanne), TBA

30/04/2020, 16:00 Fedor Bezrukov (University of Manchester), TBA

14/05/2020, 16:00 Aurelien Hees (Observatoire de Paris), TBA

21/05/2020, 16:00 Julio Navarro (University of Victoria, Canada), TBA

 

 

23/01/2020 -- Chris Clarkson (Queen Mary University of London)

Time:  16:00

Place: 226


Over the coming decade new surveys will map the cosmos over huge volumes. This will allow us to probe general relativity on unprecedented scales. I shall discuss some of the new relativistic effects that may be significant on these scales. Though corrections to the Newtonian picture of observations of structure formation are small, they should be detectable, and offer new insights into gravity on scales approaching the horizon.

 

29/01/2020 -- Harold Erbin (University of Turin)

Time:  14:00

Place: 226


Machine learning has revolutionized most fields it has penetrated, and the range of its applications is growing rapidly. The last years has seen efforts towards bringing the tools of machine learning to lattice QFT. After giving a general idea of what is machine learning, I will present two recent results on lattice QFT: 1) computing the Casimir energy for a 3d QFT with arbitrary Dirichlet boundary conditions, 2) predicting the critical temperature of the confinement phase transition in 2+1 QED at different lattice sizes.

 

30/01/2020 -- Tomas Ledvinka (Charles University, Prague)

Time:  16:00

Place: 226


Despite the tremendous success of mathematical general relativity which revealed among others surprising features of the geometry of rotating (Kerr) black holes and developed approximation techniques to study early stages of their inspiral, the necessity to describe completely the merger of two black holes lead to a substantial progress of numerical relativity. This field necessarily uses techniques of modern computer science to amass and command number crunching capabilities of current computers as well as numerical methods for partial differential equations, but the successful computer simulations also required new type of answers to questions "what is the black hole" and "what kind of equations are the Einstein ones". From this perspective I will also mention some results on hyperbolicity analysis of 3+1 reductions of Einstein equations and coordinate choice and horizon formation for collapse of gravitational waves into a black hole.

 

13/02/2020 -- Paolo Creminelli (ICTP, Trieste)

Time:  16:00

Place: 226


Cosmic inflation makes the universe flat and homogeneous, but under which conditions inflation will start? I will discuss some analytical results that show, with very weak assumptions, that inflation starts somewhere and some (partial) results about a de Sitter ho-hair theorem.

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