Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Müller, David. I."'
Autor:
Ipp, Andreas, Leuthner, Markus, Müller, David I., Schlichting, Sören, Schmidt, Kayran, Singh, Pragya
Publikováno v:
Phys. Rev. D 109 (2024), 094040
We present a succinct formulation of the energy-momentum tensor of the Glasma characterizing the initial color fields in relativistic heavy-ion collisions in the Color Glass Condensate effective theory. We derive concise expressions for the (3+1)D dy
Externí odkaz:
http://arxiv.org/abs/2401.10320
Fixed point lattice actions are designed to have continuum classical properties unaffected by discretization effects and reduced lattice artifacts at the quantum level. They provide a possible way to extract continuum physics with coarser lattices, t
Externí odkaz:
http://arxiv.org/abs/2401.06481
The complex Langevin (CL) method shows great promise in enabling the calculation of observables for theories with complex actions. Nevertheless, real-time quantum field theories have remained largely unsolved due to the particular severity of the sig
Externí odkaz:
http://arxiv.org/abs/2401.05723
In this conference proceeding, we investigate the physical anisotropy in terms of the temporal and spatial lattice spacings in relation to the bare parameters of SU(2) pure gauge theory using Wilson gradient flow. Anisotropic lattices have a wide ran
Externí odkaz:
http://arxiv.org/abs/2312.08172
Real-time quantities like spectral functions and transport coefficients are crucial for a proper understanding of the quark-gluon plasma created in relativistic heavy-ion collisions. Their numerical computation is plagued by a severe sign problem inh
Externí odkaz:
http://arxiv.org/abs/2312.03063
Lattice gauge-equivariant convolutional neural networks (L-CNNs) can be used to form arbitrarily shaped Wilson loops and can approximate any gauge-covariant or gauge-invariant function on the lattice. Here we use L-CNNs to describe fixed point (FP) a
Externí odkaz:
http://arxiv.org/abs/2311.17816
Autor:
Avramescu, Dana, Băran, Virgil, Greco, Vincenzo, Ipp, Andreas, Müller, David. I., Ruggieri, Marco
We study the impact of the Glasma fields, used to describe the very early stage of heavy-ion collisions, on the transport of hard probes, namely heavy quarks and jets. We perform numerical simulations of the strong classical fields using techniques f
Externí odkaz:
http://arxiv.org/abs/2307.07999
Lattice gauge equivariant convolutional neural networks (L-CNNs) are a framework for convolutional neural networks that can be applied to non-Abelian lattice gauge theories without violating gauge symmetry. We demonstrate how L-CNNs can be equipped w
Externí odkaz:
http://arxiv.org/abs/2303.11448
Autor:
Avramescu, Dana, Băran, Virgil, Greco, Vincenzo, Ipp, Andreas, Müller, David. I., Ruggieri, Marco
Publikováno v:
Phys. Rev. D 107 (2023), 114021
We explore the impact of strong classical color fields, which occur in the earliest stages of heavy-ion collisions and are known as the Glasma, on the classical transport of hard probes, namely heavy quarks and jets. To achieve this, we simulate SU(3
Externí odkaz:
http://arxiv.org/abs/2303.05599
We extend the weak field approximation for the Glasma beyond the boost-invariant approximation, which allows us to compute rapidity-dependent observables in the early stages of heavy-ion collisions. We show that in the limit of small fields, the weak
Externí odkaz:
http://arxiv.org/abs/2212.09363