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Ongoing investigations for the improvement of Geant4 accuracy and computational performance resulting by refactoring and reengineering parts of the code are discussed. Issues in refactoring that are specific to the domain of physics…

Computational Physics · Physics 2015-06-11 M. Batic , M. Begalli , M. Han , S. Hauf , G. Hoff , C. H. Kim , M. Kuster , M. G. Pia , P. Saracco , H. Seo , G. Weidenspointner , A. Zoglauer

The MadGraph5 aMC@NLO framework aims to automate all types of leading- and next-to-leading-order-accurate simulations for any user-defined model that stems from a renormalisable Lagrangian. In this paper, we present all of the key…

High Energy Physics - Phenomenology · Physics 2020-05-18 Stefano Frixione , Benjamin Fuks , Valentin Hirschi , Kentarou Mawatari , Hua-Sheng Shao , Marthijn P. A. Sunder , Marco Zaro

As large language models (LLMs) grow in parameter size and context length, computation precision has been reduced from 16-bit to 4-bit to improve inference efficiency. However, this reduction causes accuracy degradation due to activation…

Artificial Intelligence · Computer Science 2025-06-02 Janghwan Lee , Jiwoong Park , Jinseok Kim , Yongjik Kim , Jungju Oh , Jinwook Oh , Jungwook Choi

This work presents an updated version of the previously released freeware MAN (Modal Analysis of Nanoresonators) [Comput Phys Commun 284, 108627 (2023)], a software package designed to efficiently compute and normalize quasinormal modes…

Optics · Physics 2026-04-17 Thomas Christopoulos , Tong Wu , P. Lalanne

FeynRules is a Mathematica-based package which addresses the implementation of particle physics models, which are given in the form of a list of fields, parameters and a Lagrangian, into high-energy physics tools. It calculates the…

High Energy Physics - Phenomenology · Physics 2014-05-30 Adam Alloul , Neil D. Christensen , Celine Degrande , Claude Duhr , Benjamin Fuks

A new version of the Feynman graph plotting tool JaxoDraw is presented. Version 2.0 is a fundamental re-write of most of the JaxoDraw core and some functionalities, in particular importing graphs, are not backward-compatible with the 1.x…

High Energy Physics - Phenomenology · Physics 2015-05-13 D. Binosi , J. Collins , C. Kaufhold , L. Theussl

Multimodal Large Language Models (MLLMs) are undergoing rapid progress and represent the frontier of AI development. However, their training and inference efficiency have emerged as a core bottleneck in making MLLMs more accessible and…

Scalar field theories with quartic interactions are of central interest in the study of second-order phase transitions. For three-dimensional theories, numerous studies make use of the fixed-dimensional perturbative computation of [B.…

High Energy Physics - Theory · Physics 2024-05-14 Giacomo Sberveglieri , Gabriele Spada

A set of physics models for nanodosimetry simulation is being re-engineered for use in Geant4-based simulations. This extension of Geant4 capabilities is part of a larger scale R&D project for multi-scale simulation involving adaptable,…

Computational Physics · Physics 2009-12-10 E. Gargioni , V. Grichine , M. G. Pia

We present an open-source toolkit for neural machine translation (NMT). The new toolkit is mainly based on vaulted Transformer (Vaswani et al., 2017) along with many other improvements detailed below, in order to create a self-contained,…

Computation and Language · Computer Science 2022-03-09 Nguyen Hoang Quan , Nguyen Thanh Dat , Nguyen Hoang Minh Cong , Nguyen Van Vinh , Ngo Thi Vinh , Nguyen Phuong Thai , Tran Hong Viet

A new release of the Monte Carlo event generator Herwig++ (version 2.7) is now available. This version comes with a number of improvements including: an interface to the Universal FeynRules Output (UFO) format allowing the simulation of a…

High Energy Physics - Phenomenology · Physics 2013-10-28 J. Bellm , S. Gieseke , D. Grellscheid , A. Papaefstathiou , S. Platzer , P. Richardson , C. Rohr , T. Schuh , M. H. Seymour , A. Siodmok , A. Wilcock , B. Zimmermann

As large language models have grown larger, interest has grown in low-precision numerical formats such as NVFP4 as a way to improve speed and reduce memory usage. However, quantizing models to NVFP4 remains challenging as the lack of…

Computation and Language · Computer Science 2026-05-12 Jack Cook , Junxian Guo , Guangxuan Xiao , Yujun Lin , Keith Wyss , Mahdi Nazemi , Asit Mishra , Carlo del Mundo , Tijmen Blankevoort , Song Han

A new release of the parametric detector Monte Carlo program \verb+SIMDET+ (version 4.01) is now available. We describe the principles of operation and the usage of this program to simulate the response of a detector for the TESLA linear…

High Energy Physics - Experiment · Physics 2007-05-23 M. Pohl , H. J. Schreiber

We report on the three Mathematica packages hexagon, CSectors, AMBRE. They are useful for the evaluation of one- and two-loop Feynman integrals with a dependence on several kinematical scales. These integrals are typically needed for LHC…

High Energy Physics - Phenomenology · Physics 2014-11-18 Janusz Gluza , Krzysztof Kajda , Tord Riemann , Valery Yundin

Matrix multiplication performance has long been the major bottleneck to scaling deep learning workloads, which has stimulated the design of new accelerators that use increasingly low-precision number formats. However, improvements in matrix…

Machine Learning · Computer Science 2026-03-16 Callum McLean , Luke Y. Prince , Alexandre Payot , Paul Balança , Carlo Luschi

We present new results on FeynOnium, an ongoing project to develop a general purpose software toolkit for semi-automatic symbolic calculations in nonrelativistic Effective Field Theories (EFTs). Building upon FeynCalc, an existing…

High Energy Physics - Phenomenology · Physics 2020-12-01 Nora Brambilla , Hee Sok Chung , Vladyslav Shtabovenko , Antonio Vairo

Last year we released version 2.0 of the Feynman integral reduction program Kira. In this contribution we first report on changes and new features since then and, secondly, on new features for upcoming releases.

High Energy Physics - Phenomenology · Physics 2023-02-23 Fabian Lange , Philipp Maierhöfer , Johann Usovitsch

The NLI4CT task at SemEval-2024 emphasizes the development of robust models for Natural Language Inference on Clinical Trial Reports (CTRs) using large language models (LLMs). This edition introduces interventions specifically targeting the…

Computation and Language · Computer Science 2024-05-02 Bhuvanesh Verma , Lisa Raithel

We present FMFT - a package written in FORM that evaluates four-loop fully massive tadpole Feynman diagrams. It is a successor of the MATAD package that has been successfully used to calculate many renormalization group functions at…

High Energy Physics - Phenomenology · Physics 2018-02-05 Andrey Pikelner

We present a new algorithm for the reduction of one-loop tensor Feynman integrals within the framework of the XLOOPS project, covering both mathematical and programming aspects. The new algorithm supplies a clean way to reduce the one-loop…

High Energy Physics - Phenomenology · Physics 2009-11-07 C. Bauer , H. S. Do