Tootfinder

This https://arxiv.org/abs/2502.09506 has been replaced.
initial toot: https://mastoxiv.page/@…

Journey from the Wilson exact RG towards the Wegner-Morris Fokker-Planck RG and the Carosso field-coarsening via Langevin stochastic processes
Within the Wilson RG of 'incomplete integration' as a function of the effective RG-time $t$, the non-linear differential RG-flow for the energy $E_t[ϕ(.)]$ translates for the probability distribution $P_t[ϕ(.)] \sim e^{- E_t[ϕ(.)]} $ into the linear Fokker-Planck RG-flow associated to independent non-identical Ornstein-Uhlenbeck processes for the Fourier modes. The corresponding Langevin stochastic differential equations for the real-space field $ϕ_t(\vec x)$ have been recently interpreted …

This https://arxiv.org/abs/2505.20459 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hept…

Holographic Timelike c-function
The integration of high-energy degrees of freedom along the renormalization group (RG) flow in Poincaré-invariant theories can be captured by a monotonic c-function. For such theories, holographic monotonic c-functions have been constructed using entanglement entropy. However, in theories with broken Lorentz invariance, such constructions generally fail, reflecting both the violation of the entanglement RG monotonicity and its limitations in capturing certain properties of non-relativistic RG …

Période : Tout le week-end.
Dates : samedi 07 et dimanche 08 juin.
Le trafic est interrompu entre Viroflay RG et Saint-Quentin en Yvelines.
Report : Ligne N ou lignes de bus de ville 169 et 171.
Les horaires du calculateur d'itinéraire tiennent compte des travaux.
Motif : travaux sur le réseau ferroviaire.
#Info_Travaux
🤖 07/06 03:00

This https://arxiv.org/abs/2502.20044 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepp…

Spin 1 Transverse Momentum Dependent Tensor Structure Functions in CLAS12
We propose to analyze CLAS12 RG-C data to study the tensor transverse-momentum-dependent parton distribution functions (TMDs) on deuteron data. The deuteron is the lightest nucleus with spin-1, in essence a weakly bound system of two spin-1/2 nucleons. However, one of the most intriguing characteristics of the deuteron is that the tensor polarized structure provides direct access to the quark and gluon distribution of light nuclear system, which cannot be naively constructed from the proton and…

"I owe, I owe - so it's off to work I go"
https://www.youtube.com/watch?v=Rg_jppK1I2Q

This https://arxiv.org/abs/2504.07180 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Fixed Point Stability Switches from Attractive to Repulsive at 2d Pomeranchuk/Stoner Instabilities via Field-Theoretical RG
We study an interacting two-flavor fermionic system via field-theoretical functional renormalization group (RG). Each flavor, labeled by $\pm$, has a dispersion of $E^{\pm}=c k^{2α}-μ^\pm$ with tunable real exponent $α>0$. The effective theory is parametrized by intra-flavor and inter-flavor interactions, preserving global U(1) $\times$ U(1) symmetry, which can be enhanced to U(2). The U(2) symmetric system has a Fermi liquid phase and two possible instabilities, leading to spontaneous spati…

New blog post by a colleague: Will quantum computing topple SAML?
https://trustandidentity.jiscinvolve.org/wp/2025/05/16/will-quantum-computing-topple-saml/

Will quantum computing topple SAML? - Trust and Identity
  The UK federation is arguably one of the largest SAML federations in the Research and Education sector, with over 1200 member organisations spanning Higher Education (HE) and Further Education (FE), and with significant representation from the research and commercial sectors. We are a trust broker. A level playing field. We help people securely access […]

Dreaming up scale invariance via inverse renormalization group
Adam Ran\c{c}on, Ulysse Ran\c{c}on, Tomislav Ivek, Ivan Balog
https://arxiv.org/abs/2506.04016

Dreaming up scale invariance via inverse renormalization group
We explore how minimal neural networks can invert the renormalization group (RG) coarse-graining procedure in the two-dimensional Ising model, effectively "dreaming up" microscopic configurations from coarse-grained states. This task-formally impossible at the level of configurations-can be approached probabilistically, allowing machine learning models to reconstruct scale-invariant distributions without relying on microscopic input. We demonstrate that even neural networks with as few as three…