61 citations · 200 across the 11 of their papers we have counts for
3 papers · 1 filter
Lattice gauge equivariant convolutional neural networks
Matteo Favoni, Andreas Ipp, David I. Müller +1
We propose Lattice gauge equivariant Convolutional Neural Networks (L-CNNs) for generic machine learning applications on lattice gauge theoretical problems. At the heart of this ne…
Jet momentum broadening in the pre-equilibrium Glasma
Andreas Ipp, David I. Müller, Daniel Schuh
Jets are important probes of heavy ion collisions as they can provide information on the interaction of a highly energetic parton with the medium it traverses. In the hydrodynamic…
Anisotropic momentum broadening in the 2+1D Glasma: analytic weak field approximation and lattice simulations
Andreas Ipp, David I. Müller, Daniel Schuh
In heavy ion collisions, transverse momentum broadening quantifies the modification of a hard probe due to interactions with the quark-gluon plasma (QGP). We calculate momentum bro…