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Python physics lesson 19: Learn how Monte Carlo approximates pi
Explore Python Physics Lesson 19 and learn how the Monte Carlo method can approximate Pi with simple yet powerful simulations. In this lesson, we break down the Monte Carlo technique step by step, ...
Abstract: This article proposes a cooperative phase-locking system for magnetrons. The system integrates the advantages of injection locking and mutual coupling phase-locking. An injection path is ...
Abstract: Recent advancements have led to the development of radiocarbon dating using a compact accelerator mass spectrometry (AMS). Accordingly, Dongguk University has been operating a mini-carbon ...
In this video, we build a Python simulation to compute the electric field produced by a uniformly charged ring. Using numerical integration, we visualize the field behavior and compare it with key ...
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The Beibu Gulf, a representative semi-enclosed bay in the South China Sea, experiences microplastic transport and dispersion governed by a complex interplay of monsoons, ocean circulation, and extreme ...
A comprehensive Python package for simulating, analyzing, and visualizing wind and superficial ocean currents. This package provides tools for accessing oceanographic data, performing analysis, ...
The Active Matter Evaluation Package (AMEP) - a Python library for the analysis of particle-based and continuum simulation data of soft and active matter systems ...
Methodological benchmarking of GATE and TOPAS for 6 MV LINAC beam modeling and simulation efficiency
Monte Carlo simulations are widely used in medical physics to model particle interactions for accurate radiotherapy dose calculations. This study presents a methodological comparison between two ...
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