Currently supported open source code:
|PyGlasma3D: 3+1D Glasma simulation in Python / Cython||
|Curraun: 2+1D Glasma simulation||
|Lattice gauge equivariant convolutional neural network (L-CNN)||
The 3+1D Glasma simulation is available in several versions:
|Graphical user interface|
|Source code repository||
The colored particle-in-cell simulations can simulate the production and evolution of the Glasma.
Previous particle-in-cell codes for electromagnetic plasmas are currently not maintained.
Generalization capabilities of translationally equivariant neural networks
Srinath Bulusu, Matteo Favoni, Andreas Ipp, David Müller, Daniel Schuh
Phys.Rev.D 104 (2021) 7, 074504
Anisotropic momentum broadening in the 2+1D Glasma: analytic weak field approximation and lattice simulations
Andreas Ipp, David Müller, Daniel Schuh
Phys.Rev.D 102 (2020) 7, 074001
This work has been supported by the Austrian Science Fund FWF, project numbers P26582-N27 and P32446-N27 and by the Doctoral program No. W1252-N27.
Former postdoctoral fellow (2016 - 2018)
This work has been supported by the Austrian Science Fund FWF, project numbers P26582-N27 (2014 - 2019), P32446-N27 (2019 - 2022), P34764-N27 (2021 - 2024) and by the Doctoral program No. W1252-N27 (2014 - 2023).