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Published on 27 August 2024
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Liu,Z. (2024). Python-enabled dynamic analysis of earth-moon tidal forces. Theoretical and Natural Science,42,145-152.
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Python-enabled dynamic analysis of earth-moon tidal forces

Zhi Liu *,1,
  • 1 National Energy Investment Group Taizhou Power Generation Co., Ltd.

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2753-8818/42/20240648

Abstract

This study investigates the origin of tidal forces within the Earth-Moon system, formulating the corresponding dynamic equations and solving them using Python for computational modeling. This allows for the prediction of tidal intensity at specific locations and times. The methodologies and Python algorithms developed quantify the impact of Earth‘s tidal forces on the Moon, analyzing the deformation and thermal effects caused by tidal force variations across different distances. This framework also elucidates the mechanisms behind Io‘s volcanic activity. The computational approach, characterized by accuracy and precision, enhances the interpretability of the results through data visualization. This study lays a foundational basis for extending the analysis to other celestial bodies under diverse conditions, contributing to the broader field of celestial mechanics.

Keywords

Scientific Computing, Tidal Force, Earth-Moon System, Volcanic Activity on Io, Uneven Gravity

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Cite this article

Liu,Z. (2024). Python-enabled dynamic analysis of earth-moon tidal forces. Theoretical and Natural Science,42,145-152.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 2nd International Conference on Mathematical Physics and Computational Simulation

Conference website: https://www.confmpcs.org/
ISBN:978-1-83558-495-8(Print) / 978-1-83558-496-5(Online)
Conference date: 9 August 2024
Editor:Anil Fernando, Gueltoum Bendiab
Series: Theoretical and Natural Science
Volume number: Vol.42
ISSN:2753-8818(Print) / 2753-8826(Online)

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