Results 11 to 20 of about 55,124 (278)

Spectral Functions from the Functional Renormalization Group [PDF]

open access: greenNuclear Physics A, 2017
We present results for in-medium spectral functions obtained within the Functional Renormalization Group framework. The analytic continuation from imaginary to real time is performed in a well-defined way on the level of the flow equations. Based on this
J. Wambach   +4 more
core   +12 more sources

Renormalization Group Functional Equations

open access: yesPhysical Review D, 2010
Functional conjugation methods are used to analyze the global structure of various renormalization group trajectories, and to gain insight into the interplay between continuous and discrete rescaling.
A. B. Zamolodchikov   +11 more
core   +4 more sources

Functional renormalization group flow of massive gravity [PDF]

open access: yesEuropean Physical Journal C: Particles and Fields, 2020
We apply the functional renormalization group equation to a massive Fierz–Pauli action in curved space and find that, even though a massive term is a modification in the infrared sector, the mass term modifies the value of the non-gaussian fixed point in
Maximiliano Binder, Iván Schmidt
doaj   +5 more sources

Effective action from the functional renormalization group [PDF]

open access: yesEuropean Physical Journal C: Particles and Fields, 2020
We study the quantum gravitational system coupled to a charged scalar, Dirac fermions, and electromagnetic fields. We use the “exact” or “functional” renormalization group equation to derive the effective action $$\Gamma _0$$ Γ 0 by integrating the flow ...
Nobuyoshi Ohta, Lesław Rachwał
doaj   +4 more sources

Functional renormalization group approach to neutron matter [PDF]

open access: yesPhysics Letters B, 2014
The chiral nucleon-meson model, previously applied to systems with equal number of neutrons and protons, is extended to asymmetric nuclear matter. Fluctuations are included in the framework of the functional renormalization group.
Matthias Drews, Wolfram Weise
doaj   +5 more sources

Gauge dependence of alternative flow equation for the functional renormalization group

open access: diamondNuclear Physics B, 2020
The gauge dependence problem of alternative flow equation for the functional renormalization group is studied. It is shown that the effective two-particle irreducible effective action depends on gauges at any value of IR parameter k.
Peter M. Lavrov
doaj   +2 more sources

Critical phenomena and functional renormalization group

open access: yesHe jishu, 2023
Recent progress in studies on quantum chromodynamics (QCD) phase transition and related critical phenomena within the functional renormalization group (fRG) approach were reviewed, including the nonperturbative critical exponents and baryon number ...
YIN Shi, TAN Yangyang, FU Weijie
doaj   +1 more source

Functional and local renormalization groups [PDF]

open access: yesPhysical Review D, 2015
We discuss the relation between functional renormalization group (FRG) and local renormalization group (LRG), focussing on the two dimensional case as an example. We show that away from criticality the Wess-Zumino action is described by a derivative expansion with coefficients naturally related to RG quantities.
Codello A, D'Odorico G, Pagani C
openaire   +5 more sources

Cluster functional renormalization group [PDF]

open access: yesPhysical Review B, 2014
Functional renormalization group (FRG) has become a diverse and powerful tool to derive effective low-energy scattering vertices of interacting many-body systems. Starting from a non-interacting expansion point of the action, the flow of the RG parameter Lambda allows to trace the evolution of the effective one-particle and two-particle vertices ...
Reuther, Johannes, Thomale, Ronny
openaire   +5 more sources

Deep Learning the Functional Renormalization Group

open access: yesPhysical Review Letters, 2022
We perform a data-driven dimensionality reduction of the scale-dependent 4-point vertex function characterizing the functional Renormalization Group (fRG) flow for the widely studied two-dimensional $t - t'$ Hubbard model on the square lattice. We demonstrate that a deep learning architecture based on a Neural Ordinary Differential Equation solver in a
Domenico Di Sante   +6 more
openaire   +5 more sources

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