Results 91 to 100 of about 161,407 (287)
Renormalization group analysis for thermal turbulence
Renormalization group theory is applied to thermal turbulence. Turbulent fluxes for the flow are accounted for by repeatedly recasting the governing equations with the smallest scales represented by effective larger scales.
D. N. Riahi
doaj +1 more source
Non-perturbative renormalization for a renormalization group improved gauge action [PDF]
Renormalization constants of vector ($Z_V$) and axial-vector ($Z_A$) currents are determined non-perturbatively in quenched QCD for a renormalization group improved gauge action and a tadpole improved clover quark action using the Schr\"odinger ...
:+19 more
core +6 more sources
Renormalization scheme dependence and renormalization group summation [PDF]
We consider logarithmic contributions to the free energy, instanton effective action, and Laplace sum rules in QCD that are a consequence of radiative corrections. Upon summing these contributions by using the renormalization group, all dependence on the renormalization scale parameter μ cancels.
Farrukh Chishtie+2 more
openaire +3 more sources
Global and microlocal aspects of Dirac operators: Propagators and Hadamard states
Abstract We propose a geometric approach to construct the Cauchy evolution operator for the Lorentzian Dirac operator on Cauchy‐compact globally hyperbolic 4‐manifolds. We realize the Cauchy evolution operator as the sum of two invariantly defined oscillatory integrals—the positive and negative Dirac propagators—global in space and in time, with ...
Matteo Capoferri, Simone Murro
wiley +1 more source
The renormalization group via statistical inference
In physics, one attempts to infer the rules governing a system given only the results of imperfect measurements. Hence, microscopic theories may be effectively indistinguishable experimentally.
Cédric Bény, Tobias J Osborne
doaj +1 more source
Is Deep Learning a Renormalization Group Flow?
Although there has been a rapid development of practical applications, theoretical explanations of deep learning are in their infancy. Deep learning performs a sophisticated coarse graining.
Ellen De Mello Koch+2 more
doaj +1 more source
Five-loop anomalous dimensions of ϕ Q operators in a scalar theory with O(N) symmetry
We compute the complete Q-dependence of anomalous dimensions of traceless symmetric tensor operator ϕ Q in O(N) scalar theory to five-loop. The renormalization factors are extracted from ϕ Q → Q ϕ form factors, and the integrand of form factors are ...
Qingjun Jin, Yi Li
doaj +1 more source
The Correlated Block Renormalization Group
We formulate the standard real-space renormalization group method in a way which takes into account the correlation between blocks. This is achieved in a dynamical way by means of operators which reflect the influence on a given block of its neighbours ...
Drell+20 more
core +2 more sources
Higher loop renormalization of a supersymmetric field theory [PDF]
Using Dyson--Schwinger equations within an approach developed by Broadhurst and Kreimer and the renormalization group, we show how high loop order of the renormalization group coefficients can be efficiently computed in a supersymmetric model.Comment: 8 ...
Bogoliubov+11 more
core +7 more sources
Climatic Specific Energy Rating Analysis of Outdoor PV Field Data
The study evaluates the Climatic Specific Energy Rating (CSER) of Photovoltaic device according to IEC 61853 standard series. It explores the use of long‐term PV outdoor field data in order to understand how the length and seasonality of the data acquisition period affects the reliability of the CSER parameter. It provides important insights for the PV
Teodora S. Lyubenova+2 more
wiley +1 more source