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cond-mat.str-el2025

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space

Samuele Giuli, Hasanat Hasan, Benedikt Kloss +5

Simulations of quantum matter rely mainly on Kohn-Sham density functional theory (DFT), which often fails for strongly correlated systems. Quantum embedding (QE) theories address t…

astro-ph.CO2025

Euclid preparation. Review of forecast constraints on dark energy and modified gravity

Euclid Collaboration, N. Frusciante, M. Martinelli +326

The Euclid mission has been designed to provide, as one of its main deliverables, information on the nature of the gravitational interaction, which determines the expansion of the…

cond-mat.stat-mech2025

Classification of diffusion processes in dimension via the Carleman approach with applications to models involving additive, multiplicative or square-root noises

Cecile Monthus

The Carleman approach is well-known in the field of deterministic classical dynamics as a method to replace a finite number of non-linear differential equations by an infinite-…

hep-ph2025

The Intrinsic Dimension of Collider Events and Model-Independent Searches in 100 Dimensions

Raffaele Tito D'Agnolo, Alfredo Glioti, Gabriele Rigo +1

The phase space of hadron collider events spans hundreds of dimensions, generating an intricate geometry that we are just starting to explore. The number of possible new physics si…

hep-ph2025

Weak Scale Triggers in the SMEFT

Pier Giuseppe Catinari, Raffaele Tito D'Agnolo, Pablo Sesma

There are no weak scale triggers in the SMEFT up to dimension six that can solve the hierarchy problem far above the weak scale. Our arguments can be used to show that the same is…

cond-mat.stat-mech2025

Burgers dynamics for Poisson point process initial conditions of the Weibull class

Patrick Valageas

We derive the statistical properties of one-dimensional Burgers dynamics with stochastic initial conditions for the velocity potential defined by a Poisson point process whose inte…