Tootfinder

Status and prospects of Muon g-2 experiment
Marin Karuza (INFN Sezione di Trieste, University of Rijeka)
https://arxiv.org/abs/2508.03330 https://arxiv.org…

Status and prospects of Muon g-2 experiment
This article reviews the muon g-2 experiment, a cornerstone in precision tests of the Standard Model of particle physics. The experiment measures the anomalous magnetic moment of the muon with unprecedented accuracy, seeking potential discrepancies between theoretical predictions and experimental results that might indicate physics beyond the Standard Model. We trace the evolution of this measurement from its beginnings at CERN in the 1960s to the current state-of-the-art experiment at Fermilab…

Fast and Simplex: 2-Simplicial Attention in Triton
Aurko Roy, Timothy Chou, Sai Surya Duvvuri, Sijia Chen, Jiecao Yu, Xiaodong Wang, Manzil Zaheer, Rohan Anil
https://arxiv.org/abs/2507.02754

Fast and Simplex: 2-Simplicial Attention in Triton
Recent work has shown that training loss scales as a power law with both model size and the number of tokens, and that achieving compute-optimal models requires scaling model size and token count together. However, these scaling laws assume an infinite supply of data and apply primarily in compute-bound settings. As modern large language models increasingly rely on massive internet-scale datasets, the assumption that they are compute-bound is becoming less valid. This shift highlights the need …

Horofunctions of infinite Sierpinski polygon graphs
Daniele D'Angeli, Francesco Matucci, Davide Perego, Emanuele Rodaro
https://arxiv.org/abs/2507.23681 https://

Horofunctions of infinite Sierpinski polygon graphs
Generalizing works of D'Angeli and Donno, we describe, starting from an infinite sequence over $r$ letters with $r \neq 4i$ and $i \in \mathbb{N}$, a sequence of pointed finite graphs. We study the pointed Gromov-Hausdorff limit graphs giving a description of isomorphim classes in terms of dihedral groups and providing insights on the horofunction boundaries in terms of Busemann and non-Busemann points.

Average weighted ratio of consecutive level spacings for infinite-dimensional orthogonal random matrices
Wouter Buijsman
https://arxiv.org/abs/2508.14172 https://

Average weighted ratio of consecutive level spacings for infinite-dimensional orthogonal random matrices
The onset of quantum ergodicity is often quantified by the average ratio of consecutive level spacings. The reference values for ergodic quantum systems have been obtained numerically from the spectra of large but finite-dimensional random matrices. This work introduces a weighted ratio of consecutive level spacings, having the propery that the average can be computed numerically for random matrices of infinite dimension. A Painlevé differential equation is solved numerically in order to deter…

A Study in Thermal: Advantage framework for resource engines
Jakub Czartowski, Rafa{\l} Bistro\'n
https://arxiv.org/abs/2507.05699 https://

A Study in Thermal: Advantage framework for resource engines
Thermal engines have been one of the principal topics of thermodynamics ever since its beginning. Today, in the era of the second quantum revolution, although the thermal processes in constant temperatures are relatively well understood in the language of resource theories, a framework to describe thermal engines is still in its infancy. In this work we formalize the resource theory of engines, initially put forward in [Quantum 8, 1222], and define such quantities as engine efficiency. Then, we…

This https://arxiv.org/abs/2412.09453 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCE_…

Finite-PINN: A Physics-Informed Neural Network with Finite Geometric Encoding for Solid Mechanics
PINN models have demonstrated capabilities in addressing fluid PDE problems, and their potential in solid mechanics is beginning to emerge. This study identifies two key challenges when using PINN to solve general solid mechanics problems. These challenges become evident when comparing the limitations of PINN with the well-established numerical methods commonly used in solid mechanics, such as the finite element method (FEM). Specifically: a) PINN models generate solutions over an infinite doma…