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Dynamic driving scene reconstruction is critical for autonomous driving simulation and closed-loop learning. While recent feed-forward methods have shown promise for 3D reconstruction, they struggle with long-range driving sequences due to…

Computer Vision and Pattern Recognition · Computer Science 2026-02-25 Kaiyuan Tan , Yingying Shen , Mingfei Tu , Haohui Zhu , Bing Wang , Guang Chen , Hangjun Ye , Haiyang Sun

In this paper we present FeynRules, a new Mathematica package that facilitates the implementation of new particle physics models. After the user implements the basic model information (e.g. particle content, parameters and Lagrangian),…

High Energy Physics - Phenomenology · Physics 2009-08-21 Neil D. Christensen , Claude Duhr

We present FeynCalc 9.3, a new stable version of a powerful and versatile Mathematica package for symbolic quantum field theory (QFT) calculations. Some interesting new features such as highly improved interoperability with other packages,…

High Energy Physics - Phenomenology · Physics 2020-07-17 Vladyslav Shtabovenko , Rolf Mertig , Frederik Orellana

During the last decade, strong observational evidence has been accumulated for the existence of massive, high velocity winds/outflows (aka Ultra Fast Outflows, UFOs) in nearby AGNs and in more distant quasars. Here we briefly review some of…

High Energy Astrophysical Phenomena · Physics 2013-01-31 M. Cappi , F. Tombesi , M. Giustini

Multi-loop Feynman integrals are key objects for the high-order correction computations in high energy phenomenology. These integrals with multiple scales, may have complicated symbol structures. We show that the dual conformal symmetry…

High Energy Physics - Theory · Physics 2022-11-23 Song He , Zhenjie Li , Rourou Ma , Zihao Wu , Qinglin Yang , Yang Zhang

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

Concept-based explanations for convolutional neural networks (CNNs) aim to explain model behavior and outputs using a pre-defined set of semantic concepts (e.g., the model recognizes scene class ``bedroom'' based on the presence of concepts…

Computer Vision and Pattern Recognition · Computer Science 2023-03-29 Vikram V. Ramaswamy , Sunnie S. Y. Kim , Ruth Fong , Olga Russakovsky

This is a brief discussion of the following features of the Universal Extra Dimension (UED) model: (i) Formulation, (ii) Indirect bounds, (iii) Collider search and the Inverse Problem, (iv) Astrophysical bounds, and (v) UED with two extra…

High Energy Physics - Phenomenology · Physics 2008-06-25 Anirban Kundu

We present SmeftFR, a Mathematica package designed to generate the Feynman rules for the Standard Model Effective Field Theory (SMEFT) including the complete set of gauge invariant operators up to dimension~6. Feynman rules are generated…

High Energy Physics - Phenomenology · Physics 2019-12-02 A. Dedes , M. Paraskevas , J. Rosiek , K. Suxho , L. Trifyllis

This paper discusses several methods for describing the dynamics of open quantum systems, where the environment of the open system is infinite-dimensional. These are purifications, phase space forms, master equation and liouville equation…

Mathematical Physics · Physics 2014-04-10 J. E. Gough , T. S. Ratiu , O. G. Smolyanov

Large language models (LLMs) may generate text that lacks consistency with human knowledge, leading to factual inaccuracies or \textit{hallucination}. Existing research for evaluating the factuality of LLMs involves extracting fact claims…

Computation and Language · Computer Science 2024-02-23 Zhaoheng Huang , Zhicheng Dou , Yutao Zhu , Ji-rong Wen

A new approach to compute Feynman Integrals is presented. It relies on an integral representation of a given Feynman Integral in terms of simpler ones. Using this approach, we present, for the first time, results for a certain family of…

High Energy Physics - Phenomenology · Physics 2020-03-18 Costas G. Papadopoulos , Christopher Wever

We present a new method for the decomposition of multi-loop Euclidean Feynman integrals into quasi-finite Feynman integrals. These are defined in shifted dimensions with higher powers of the propagators, make explicit both infrared and…

High Energy Physics - Phenomenology · Physics 2017-04-21 Andreas von Manteuffel , Erik Panzer , Robert M. Schabinger

gUFO is a lightweight implementation of the Unified Foundational Ontology (UFO) suitable for Semantic Web OWL 2 DL applications. UFO is a mature foundational ontology with a rich axiomatization and that has been employed in a significant…

Artificial Intelligence · Computer Science 2026-03-24 João Paulo A. Almeida , Giancarlo Guizzardi , Tiago Prince Sales , Claudenir M. Fonseca

In this note we report on the new version of FeynCalc, a Mathematica package for symbolic semi-automatic evaluation of Feynman diagrams and algebraic expressions in quantum field theory. The main features of version 9.0 are: improved tensor…

High Energy Physics - Phenomenology · Physics 2018-01-30 Vladyslav Shtabovenko , Rolf Mertig , Frederik Orellana

We introduce UFO, an innovative UI-Focused agent to fulfill user requests tailored to applications on Windows OS, harnessing the capabilities of GPT-Vision. UFO employs a dual-agent framework to meticulously observe and analyze the…

Human-Computer Interaction · Computer Science 2024-05-24 Chaoyun Zhang , Liqun Li , Shilin He , Xu Zhang , Bo Qiao , Si Qin , Minghua Ma , Yu Kang , Qingwei Lin , Saravan Rajmohan , Dongmei Zhang , Qi Zhang

Neural operators have become an effective framework for learning mappings between function spaces, yet most existing architectures realize operators within a single representational domain, such as physical, spectral, or latent space. In…

Machine Learning · Computer Science 2026-05-14 Hanli Qiao , George Em Karniadakis , Muhammad Muniruzzaman

Complete Feynman diagram automatic computation systems are now coming of age after many years of development. They are made available to the high energy physics community through user-friendly interfaces. Theorists and experimentalists can…

High Energy Physics - Phenomenology · Physics 2011-04-15 Denis Perrer-Gallix

We present the Feynman integral reduction program Kira 1.2 and describe its new features and other changes w.r.t. the previous versions. The main new features include a much faster equation generator, more flexible seed specification…

High Energy Physics - Phenomenology · Physics 2018-12-05 Philipp Maierhöfer , Johann Usovitsch

We provide a leading singularity analysis protocol in Baikov representation, for the searching of Feynman integrals with uniform transcendental (UT) weight. This approach is powered by the recent developments in rationalizing square roots…

High Energy Physics - Theory · Physics 2021-08-18 Christoph Dlapa , Xiaodi Li , Yang Zhang