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相关论文: Complex Langevin analysis of the space-time struct…

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The sign problem is a notorious problem, which occurs in Monte Carlo simulations of a system with a partition function whose integrand is not positive. One way to simulate such a system is to use the factorization method where one enforces…

高能物理 - 格点 · 物理学 2012-11-08 Konstantinos N. Anagnostopoulos , Takehiro Azuma , Jun Nishimura

The bosonic IIB matrix model is studied using a numerical method. This model contains the bosonic part of the IIB matrix model conjectured to be a non-perturbative definition of the type IIB superstring theory. The large N scaling behavior…

高能物理 - 理论 · 物理学 2009-10-31 S. Horata , H. S. Egawa

We construct a general class of new time dependent solutions of non-linear sigma models coupled to gravity. These solutions describe configurations of expanding or contracting codimension two solitons which are not subject to a constraint…

高能物理 - 理论 · 物理学 2009-04-17 Matthew Kleban , Michele Redi

We perform numerical simulations of large scale structure evolution in an inhomogeneous Lemaitre-Tolman-Bondi (LTB) model of the Universe. We follow the gravitational collapse of a large underdense region (a void) in an otherwise flat…

宇宙学与河外天体物理 · 物理学 2015-03-17 David Alonso , Juan Garcia-Bellido , Troels Haugboelle , Julian Vicente

Recently found positive representation for an arbitrary complex, gaussian weight is used to construct a statistical formulation of gaussian path integrals directly in the Minkowski time. The positivity of Minkowski weights is achieved by…

高能物理 - 理论 · 物理学 2016-05-25 Jacek Wosiek

We study type II universal metrics of the Lorentzian signature. These metrics simultaneously solve vacuum field equations of all theories of gravitation with the Lagrangian being a polynomial curvature invariant constructed from the metric,…

广义相对论与量子宇宙学 · 物理学 2016-01-11 Sigbjørn Hervik , Tomáš Málek , Vojtěch Pravda , Alena Pravdová

We present our latest results on the application of the complex Langevin method to one- and two-dimensional QCD. Although the method is stable, it unfortunately converges to an incorrect result when applied as such. After applying…

高能物理 - 格点 · 物理学 2015-08-24 Jacques Bloch , Johannes Mahr , Sebastian Schmalzbauer

This paper shows a new approach to obtain analytical topological defects of a 2D Myers-Pospelov Lagrangian for two scalar fields. Such a Lagrangian presents higher-order kinetic terms, which lead us to equations of motion which are…

高能物理 - 理论 · 物理学 2018-07-24 E. Passos , C. A. G. Almeida , F. A. Brito , R. Menezes , J. C. Mota-Silva , J. R. L. Santos

We consider a solution of a IKKT-type matrix model which can be considered as a 1+1-dimensional space-time with Minkowski signature and a Big Bounce-like singularity. A suitable $i\varepsilon$ regularization of the Lorentzian matrix…

高能物理 - 理论 · 物理学 2023-04-12 Joanna L. Karczmarek , Harold C. Steinacker

Deep generative models hold great promise for representing complex physical systems, but their deployment is currently limited by the lack of guarantees on the physical plausibility of the generated outputs. Ensuring that known physical…

机器学习 · 计算机科学 2026-03-13 Matthieu Blanke , Yongquan Qu , Sara Shamekh , Pierre Gentine

We construct a $\mathcal{Q}=1$ supersymmetry and $U(1)^5$ global symmetry preserving deformation of the type IIB matrix model. This model, without orbifold projection, serves as a nonperturbative regularization for $\mathcal{N}=4$…

高能物理 - 理论 · 物理学 2017-09-07 Mithat Unsal

We study the space-time correlation and response functions in nonequilibrium growth processes described by linear stochastic Langevin equations. Exploiting exclusively the existence of space and time dependent symmetries of the noiseless…

统计力学 · 物理学 2015-05-22 Andreas Roethlein , Florian Baumann , Michel Pleimling

The non-linear $\Sigma$-Model minimally coupled with Maxwell theory in $3+1$ dimensions possesses a topologically non-trivial sector characterized by ``lasagna''-like configurations. We demonstrate that, when a specific quantization…

高能物理 - 理论 · 物理学 2025-06-23 Fabrizio Canfora , Nicolás Grandi , Marcelo Oyarzo

We analyze to what extent the complex Langevin method, which is in principle capable of solving the so-called sign problems, can be considered as reliable. We give a formal derivation of the correctness and then point out various…

高能物理 - 格点 · 物理学 2010-04-14 Gert Aarts , Erhard Seiler , Ion-Olimpiu Stamatescu

We investigate here a supermatrix model with a mass term and a cubic interaction. It is based on the super Lie algebra osp(1|32,R), which could play a role in the construction of the eleven-dimensional M-theory. This model contains a…

高能物理 - 理论 · 物理学 2009-11-07 Takehiro Azuma , Maxime Bagnoud

The Lagrangian constraint analysis of the selfdual massive spin 2 theory in a 2+1 dimensional flat space-time and its extension to a curved one, are performed. Demanding consistence of degrees of freedom in the model with gravitational…

高能物理 - 理论 · 物理学 2010-01-26 Pio J. Arias , Rolando Gaitan Deveras

Progress in the application of the complex Langevin method to full QCD at non-zero chemical potential is reported. The method evades the sign problem which makes naive simulations at nonzero density impossible. The procedure 'gauge cooling'…

高能物理 - 格点 · 物理学 2015-06-22 Denes Sexty

We study the heavy-dense limit of QCD on the lattice with heavy quarks at high density. The effective three dimensional theory has a sign problem which is alleviated by sign optimization where the path integration domain is deformed in…

高能物理 - 理论 · 物理学 2023-12-14 Gokce Basar , Joseph Marincel

We study the problem of learning multi-index models in high-dimensions using a two-layer neural network trained with the mean-field Langevin algorithm. Under mild distributional assumptions on the data, we characterize the effective…

机器学习 · 统计学 2025-03-28 Alireza Mousavi-Hosseini , Denny Wu , Murat A. Erdogdu

We present a significant advancement in the field of Langevin Monte Carlo (LMC) methods by introducing the Inexact Proximal Langevin Algorithm (IPLA). This novel algorithm broadens the scope of problems that LMC can effectively address…

机器学习 · 统计学 2024-12-16 Matej Benko , Iwona Chlebicka , Jørgen Endal , Błażej Miasojedow