Explore advanced physics with **“Modeling Sliding Bead On Tilting Wire Using Python | Lagrangian Explained.”** In this tutorial, we demonstrate how to simulate the motion of a bead sliding on a ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
Learn how to compute and visualize electric field vectors using Python. This tutorial walks you through coding the physics behind electric fields and creating clear, interactive visualizations to make ...
This repository provides a Python implementation of the Pseudo-Polar Fourier Transform (PPFT) in both 2D (PPFT2D) and 3D (PPFT3D), based on the methods presented in the following papers: ...
Abstract: Spherical measurement is a relatively important application in optical measurement. The interferogram obtained in spherical inspection usually consists of closed fringe patterns. Obtaining ...
This is a simple f2py-wrapper for the logarithmic FFT code FFTLog as presented in Appendix B of [Hami00] and published at casa.colorado.edu/~ajsh/FFTLog. A pure ...