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Related papers: DIANA, a program for Feynman Diagram Evaluation

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Daisy (Data Analysis Integrated Software System) has been designed for the analysis and visualization of the X-ray experiments. To address an extensive range of Chinese radiation facilities community's requirements from purely algorithmic…

High Energy Physics - Experiment · Physics 2021-09-08 Yu Hu , Ling Li , Haolai Tian , Zhibing Liu , Qiulan Huang , Yi Zhang , Hao Hu , Fazhi Qi

Labeling neural network submodules with human-legible descriptions is useful for many downstream tasks: such descriptions can surface failures, guide interventions, and perhaps even explain important model behaviors. To date, most…

Computation and Language · Computer Science 2023-12-11 Sarah Schwettmann , Tamar Rott Shaham , Joanna Materzynska , Neil Chowdhury , Shuang Li , Jacob Andreas , David Bau , Antonio Torralba

autoScale.py is a program that performs an automatic finite-size scaling analysis for given sets of simulated data. It implements a quite general scaling assumption and optimizes an initial set of scaling parameters that enforce a data…

Computational Physics · Physics 2009-10-29 O. Melchert

Graphical functions are single-valued complex functions which arise from Feynman amplitudes. We study their properties and use their connection to multiple polylogarithms to calculate Feynman periods. For the zig-zag and two more families…

Number Theory · Mathematics 2014-11-12 Oliver Schnetz

It was observed that hyperlogarithms provide a tool to carry out Feynman integrals. So far, this method has been applied successfully to finite single-scale processes. However, it can be employed in more general situations. We give examples…

High Energy Physics - Theory · Physics 2014-04-01 Erik Panzer

Perturbative nonlinear optical spectroscopies are powerful methods to understand the dynamics of excitonic and other condensed phase systems. Feynman diagrams have long provided the essential tool to understand and interpret experimental…

Chemical Physics · Physics 2021-01-21 Peter A. Rose , Jacob J. Krich

Verifying properties and interpreting the behaviour of deep neural networks (DNN) is an important task given their ubiquitous use in applications, including safety-critical ones, and their black-box nature. We propose an automata-theoric…

Formal Languages and Automata Theory · Computer Science 2023-09-28 Marco Sälzer , Eric Alsmann , Florian Bruse , Martin Lange

Daany is .NET and cross platform data analytics and linear algebra library written in C# supposed to be a tool for data preparation, feature engineering and other kind of data transformations and feature engineering. The library is…

Software Engineering · Computer Science 2021-07-09 Bahrudin Hrnjica

We describe the main building blocks of a generic automated package for the calculation of Feynman diagrams. These blocks include the generation and creation of a model file, the graph generation, the symbolic calculation at an intermediate…

High Energy Physics - Phenomenology · Physics 2008-11-26 G. Belanger , F. Boudjema , J. Fujimoto , T. Ishikawa , T. Kaneko , K. Kato , Y. Shimizu

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

The computation of Feynman integrals often involves square roots. One way to obtain a solution in terms of multiple polylogarithms is to rationalize these square roots by a suitable variable change. We present a program that can be used to…

Mathematical Software · Computer Science 2020-06-24 Marco Besier , Pascal Wasser , Stefan Weinzierl

DiffExp is a Mathematica package for integrating families of Feynman integrals order-by-order in the dimensional regulator from their systems of differential equations, in terms of one-dimensional series expansions along lines in…

High Energy Physics - Phenomenology · Physics 2020-12-01 Martijn Hidding

Deep sequencing has become one of the most popular tools for transcriptome profiling in biomedical studies. While an abundance of computational methods exists for "normalizing" sequencing data to remove unwanted between-sample variations…

Genomics · Quantitative Biology 2022-01-14 Yannick Düren , Johannes Lederer , Li-Xuan Qin

This book is about dynamic programming and its applications in economics, finance, and adjacent fields. It brings together recent innovations in the theory of dynamic programming and provides applications and code that can help readers…

General Economics · Economics 2024-01-22 Thomas J. Sargent , John Stachurski

The past years have seen a revived interest in the diagrammatic Monte Carlo (DiagMC) methods for interacting fermions on a lattice. A promising recent development allows one to now circumvent the analytical continuation of dynamic…

Strongly Correlated Electrons · Physics 2021-05-05 J. Vucicevic , P. Stipsic , M. Ferrero

We present STR (Star-Triangle Relations), a Mathematica package designed to solve Feynman integrals by means of the method of uniqueness in any Euclidean spacetime dimension. We provide a set of tools to draw Feynman diagrams and interact…

High Energy Physics - Theory · Physics 2020-08-26 Michelangelo Preti

Automated facial expression analysis has a variety of applications in human-computer interaction. Traditional methods mainly analyze prototypical facial expressions of no more than eight discrete emotions as a classification task. However,…

Computer Vision and Pattern Recognition · Computer Science 2018-05-04 Feng Zhou , Shu Kong , Charless Fowlkes , Tao Chen , Baiying Lei

aITALC, a new tool for automating loop calculations in high energy physics, is described. The package creates Fortran code for two-fermion scattering processes automatically, starting from the generation and analysis of the Feynman graphs.…

High Energy Physics - Phenomenology · Physics 2009-11-10 Alejandro Lorca , Tord Riemann

Using functional derivatives with respect to free propagators and interactions we derive a closed set of Schwinger-Dyson equations in quantum electrodynamics. Its conversion to graphical recursion relations allows us to systematically…

High Energy Physics - Theory · Physics 2015-06-26 Axel Pelster , Hagen Kleinert , Michael Bachmann

We describe a strategy to solve differential equations for Feynman integrals by powers series expansions near singular points and to obtain high precision results for the corresponding master integrals. We consider Feynman integrals with…

High Energy Physics - Phenomenology · Physics 2018-04-04 Roman N. Lee , Alexander V. Smirnov , Vladimir A. Smirnov