Welcome to a detailed overview of Data Science in Physics!

This website covers the use of data science in physics from the most fundamental ideas dating back hudrends of years ago, all the way to how contemporary AI influences modern physics research. The content is structured as a series of executable notebooks which guide you through a specific way to use data science to study different problems in physics and primer sections explaining key prerequisite concepts.

Early Data Science

• Early Use of Data and Johannes Kepler
• Kepler and the Orbit of Mars

18th - 19th Century

• Data Science and 18th - 19th Century Physics
• Linear Regression and Coulomb’s Law
• Using Data Analysis to Interpret Speed of Light Measurements

Late 20th - 21st Century

• Machine Learning Primer
• Data Visualisation in Timeseries Analysis Primer
• Anomaly Detection Using an Autoencoder
• Using a Deep Neural Network for Quark Tagging

Modern Data Science Methods

• Data Storage Primer
• Data Storage Visualisation
• Application of Data Cleaning Methods to Exoplanets Dataset

References

• References and Supplementary Materials