Results 61 to 70 of about 12,765,544 (342)

Variational Numerical Renormalization Group: Bridging the gap between NRG and Density Matrix Renormalization Group [PDF]

, 2012
The numerical renormalization group (NRG) is rephrased as a variational method with the cost function given by the sum of all the energies of the effective low-energy Hamiltonian. This allows to systematically improve the spectrum obtained by NRG through
Pizorn, Iztok, Verstraete, Frank
core   +2 more sources

Renormalization group fixed points of foliated gravity-matter systems [PDF]

Journal of High Energy Physics, 2017
We employ the Arnowitt-Deser-Misner formalism to study the renormalization group flow of gravity minimally coupled to an arbitrary number of scalar, vector, and Dirac fields. The decomposition of the gravitational degrees of freedom into a lapse function,
J. Biemans, Alessia Benedetta Platania, F. Saueressig   +2 more
semanticscholar   +1 more source

Rapidity Renormalization Group

Physical Review Letters, 2012
We introduce a systematic approach for the resummation of perturbative series which involves large logarithms not only due to large invariant mass ratios but large rapidities as well. A series of this form can appear in a variety of gauge theory observables.
Jui-yu, Chiu, Ambar, Jain, Duff, Neill, Ira Z, Rothstein   +3 more
openaire   +3 more sources

Renormalization Group Functional Equations

, 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, A. M. Polyakov, Cosmas K. Zachos, E. C. G. Stueckelberg, E. C. G. Stueckelberg, M. Kuczma, M. Kuczma, P. Collet, R. L. Devaney, S. Coleman, T. D. Lee, Thomas L. Curtright   +11 more
core   +1 more source

Matrix product operators, matrix product states, and ab initio density matrix renormalization group algorithms. [PDF]

Journal of Chemical Physics, 2016
Current descriptions of the ab initio density matrix renormalization group (DMRG) algorithm use two superficially different languages: an older language of the renormalization group and renormalized operators, and a more recent language of matrix product
G. Chan, A. Keselman, N. Nakatani, Zhendong Li, S. White   +4 more
semanticscholar   +1 more source

Inflation and nonequilibrium renormalization group [PDF]

, 2006
We study de spectrum of primordial fluctuations and the scale dependence of the inflaton spectral index due to self-interactions of the field. We compute the spectrum of fluctuations by applying nonequilibrium renormalization group techniques.Comment: 6 ...
Ballesteros G, Boyanovsky D de Vega H J Sanchez N G, Esteban Calzetta, Juan Zanella, Keldysh L V, Keldysh L V, Liguori M, Matarrese S, Starobinsky A, Wu C-H Ng K-W Lee W Lee D-S Charng Y-Y, Zanella J Calzetta E   +10 more
core   +3 more sources

EXACT RENORMALIZATION GROUP FOR POINT INTERACTIONS

Acta Polytechnica, 2014
Renormalization is one of the deepest ideas in physics, yet its exact implementation in any interesting problem is usually very hard. In the present work, following the approach by Glazek and Maslowski in the flat space, we will study the exact ...
Osman Teoman Turgut Teoman Turgut, Cem Eröncel   +1 more
doaj   +1 more source

Renormalization Group Improved BFKL Equation [PDF]

, 1999
I report on the recent proposal of a generalized small-x equation which, in addition to exact leading and next-to-leading BFKL kernels, incorporates renormalization group constraints in the relevant collinear limits.Comment: Talk presented at DIS99 ...
Camici, Camici, Fadin, Marcello Ciafaloni   +3 more
core   +3 more sources

Renormalization Group Flows of Hamiltonians Using Tensor Networks. [PDF]

Physical Review Letters, 2017
A renormalization group flow of Hamiltonians for two-dimensional classical partition functions is constructed using tensor networks. Similar to tensor network renormalization [G. Evenbly and G. Vidal, Phys. Rev. Lett.
M. Bal, M. Mariën, J. Haegeman, F. Verstraete   +3 more
semanticscholar   +1 more source

Visual Recovery Reflects Cortical MeCP2 Sensitivity in Rett Syndrome

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Rett syndrome (RTT) is a devastating neurodevelopmental disorder with developmental regression affecting motor, sensory, and cognitive functions. Sensory disruptions contribute to the complex behavioral and cognitive difficulties and represent an important target for therapeutic interventions.
Alex Joseph Simon, Nathalie Picard, Valeria d'Andrea, Enchi Chang, Joseph Leffler, Eleonora Centofante, Matthew Taylor, Francesca Bardi, Francesca Cavicchiolo, Takao K. Hensch, Stefano Panzeri, Chinfei Chen, Michela Fagiolini   +12 more
wiley   +1 more source