PIRSA:13110089

Collisions in AdS and the thermalisation of heavy-ion collisions

van der Schee, W. (2013). Collisions in AdS and the thermalisation of heavy-ion collisions . Perimeter Institute. https://pirsa.org/13110089

van der Schee, Wilke. Collisions in AdS and the thermalisation of heavy-ion collisions . Perimeter Institute, Nov. 28, 2013, https://pirsa.org/13110089 

          @misc{ pirsa_PIRSA:13110089,
            doi = {10.48660/13110089},
            url = {https://pirsa.org/13110089},
            author = {van der Schee, Wilke},
            keywords = {Strong Gravity},
            language = {en},
            title = {Collisions in AdS and the thermalisation of heavy-ion collisions },
            publisher = {Perimeter Institute},
            year = {2013},
            month = {nov},
            note = {PIRSA:13110089 see, \url{https://pirsa.org}}
          }

Wilke van der Schee

European Organization for Nuclear Research (CERN)

Talk number
PIRSA:13110089
Collection
Talk Type
Subject
Abstract
The motivation of this seminar is to understand the thermalisation of heavy ion collisions using AdS/CFT. These collisions can be modelled as colliding planar gravitational shock waves. This gives rise to rich and interesting dynamics; wide shocks come to a full stop and expand hydrodynamically, as was previously found by Chesler and Yaffe. High energy collisions (corresponding to thin shocks) pass through each other, after which a plasma forms in the middle, within a proper time 1/T, with T the local temperature at that time. After this I will discuss recent results where we studied the influence of microscopic structure in the longitudinal direction of the shock waves, and thereby found a coherent regime. This has implications for both fluctuations in nucleus-nucleus collisions, and for recent proton-lead collisions at at LHC. The final part will cover a radially expanding calculation, where some simplifications allowed us to solve the model all the way till the final particle spectra, with an interesting comparison with experimental data.