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In this thesis, we present a novel method combining energy-based finite-size scaling with tensor network renormalization (TNR) to study phase transitions in lattice models. This approach effectively calculates running coupling constants and…

Statistical Mechanics · Physics 2024-02-01 Atsushi Ueda

This paper describes the Mathematica package FeynArts used for the generation and visualization of Feynman diagrams and amplitudes. The main features of version 3 are: generation of diagrams at three levels, user-definable model files,…

High Energy Physics - Phenomenology · Physics 2009-10-31 T. Hahn

We introduce an open-source toolkit for neural machine translation (NMT) to support research into model architectures, feature representations, and source modalities, while maintaining competitive performance, modularity and reasonable…

Computation and Language · Computer Science 2017-09-13 Guillaume Klein , Yoon Kim , Yuntian Deng , Josep Crego , Jean Senellart , Alexander M. Rush

The emergence of fine-grained numerical formats like NVFP4 presents new opportunities for efficient Large Language Model (LLM) inference. However, it is difficult to adapt existing Post-Training Quantization (PTQ) strategies to these…

Machine Learning · Computer Science 2026-01-13 Haoqian Meng , Yilun Luo , Yafei Zhao , Wenyuan Liu , Peng Zhang , Xindian Ma

WPHACT 2.0 is the new fully massive version of a MC program and unweighted event generator which computes all Standard Model processes with four fermions in the final state at e^+ e^- colliders. The program can now generate unweighted…

High Energy Physics - Phenomenology · Physics 2014-11-17 E. Accomando , A. Ballestrero , E. Maina

We correct the computation of one Feynman diagram in the three-loop beta functions for the long-range quartic multi-scalar model, originally presented in (2020 J. Phys. A: Math. Theor. 53 445008) [arXiv:2007.04603]. The correction requires…

High Energy Physics - Theory · Physics 2025-04-03 Dario Benedetti , Razvan Gurau , Sabine Harribey

As a key step towards a complete automation of the finite element method, we present a new algorithm for automatic and efficient evaluation of multilinear variational forms. The algorithm has been implemented in the form of a compiler, the…

Numerical Analysis · Mathematics 2011-12-05 Robert C. Kirby , Anders Logg

We present the new version 2.0 of the Feynman integral reduction program Kira and describe the new features. The primary new feature is the reconstruction of the final coefficients in integration-by-parts reductions by means of finite field…

High Energy Physics - Phenomenology · Physics 2023-02-24 Jonas Klappert , Fabian Lange , Philipp Maierhöfer , Johann Usovitsch

Diagrammatic approaches to perturbation theory transformed the practicability of calculations in particle physics. In the case of extended theories of gravity, however, obtaining the relevant diagrammatic rules is non-trivial: we must…

High Energy Physics - Phenomenology · Physics 2024-10-22 Andrei Lazanu , Peter Millington , Sergio Sevillano Muñoz

Despite the ubiquity of multiway data across scientific domains, there are few user-friendly tools that fit tailored nonnegative tensor factorizations. Researchers may use gradient-based automatic differentiation (which often struggles in…

Machine Learning · Statistics 2026-02-10 John Hood , Aaron Schein

A major update of the program FeynGame is introduced. One of its main new functionalities is to visualize Feynman graphs generated by QGRAF. The QGRAF output can be either pasted into the FeynGame canvas for individual graphs, or the whole…

High Energy Physics - Phenomenology · Physics 2026-02-24 L. Bündgen , R. V. Harlander , S. Y. Klein , M. C. Schaaf

A new decoder for the SIF test problems of the CUTEst collection is described, which produces problem files allowing the computation of values and derivatives of the objective function and constraints of most \cutest\ problems directly…

Optimization and Control · Mathematics 2024-07-11 Serge Gratton , Philippe L. Toint

Binarization of degraded historical manuscript images is an important pre-processing step for many document processing tasks. We formulate binarization as a pixel classification learning task and apply a novel Fully Convolutional Network…

Computer Vision and Pattern Recognition · Computer Science 2017-08-11 Chris Tensmeyer , Tony Martinez

We present here the update of the Unitarity Triangle (UT) analysis performed by the UTfit Collaboration within the Standard Model (SM) and beyond. Continuously updated flavour results contribute to improving the precision of several…

We report on some recent developments in algebraic tensor reduction of one-loop Feynman integrals. For 5-point functions, an efficient tensor reduction was worked out recently and is now available as numerical C++ package, PJFry, covering…

High Energy Physics - Phenomenology · Physics 2012-02-06 Jochem Fleischer , Tord Riemann , Valery Yundin

A new release of the Monte Carlo program Herwig++ (version 2.5) is now available. This version comes with a number of improvements including: new next-to-leading order matrix elements, including weak boson pair production; a colour…

High Energy Physics - Phenomenology · Physics 2011-02-09 S. Gieseke , D. Grellscheid , K. Hamilton , A. Papaefstathiou , S. Plätzer , P. Richardson , C. A. Röhr , P. Ruzicka , A. Siódmok , L. Suter , D. Winn

The evaluation of higher-loop Feynman integrals is at the core of the quest to reduce the uncertainty of theoretical predictions and match experimental data from the LHC and future colliders. pySecDec is a program to evaluate such integrals…

High Energy Physics - Phenomenology · Physics 2022-03-01 Vitaly Magerya

Large language models (LLMs) have grown beyond the memory capacity of single GPU devices, necessitating quantization techniques for practical deployment. While NF4 (4-bit NormalFloat) quantization enables 4$\times$ memory reduction,…

Machine Learning · Computer Science 2026-04-06 Xiangbo Qi , Chaoyi Jiang , Murali Annavaram

This paper presents Efficient SMT-Based Context-Bounded Model Checker (ESBMC) v7.6, an extended version based on previous work on ESBMC v7.3 by K. Song et al. The v7.3 introduced a new Clang-based C++ front-end to address the challenges…

Logic in Computer Science · Computer Science 2025-05-23 Xianzhiyu Li , Kunjian Song , Mikhail R. Gadelha , Franz Brauße , Rafael S. Menezes , Konstantin Korovin , Lucas C. Cordeiro

The Rivet toolkit is the primary mechanism for phenomenological preservation of collider-physics measurements, containing both a computational core and API for analysis implementation, and a large collection of more than a thousand…

High Energy Physics - Phenomenology · Physics 2024-08-14 Christian Bierlich , Andy Buckley , Jonathan Butterworth , Christian Gutschow , Leif Lonnblad , Tomasz Procter , Peter Richardson , Yoran Yeh
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