Exploratory Data Analysis: Radiation Monitoring with Python (Part 2)

Let’s Detect Some Cosmic Rays and More

Image by author, based on Unsplash

In the first part of the article, I collected the background radiation data using a Raspberry Pi and a Geiger–Müller tube. I also made a basic statistical analysis and used anomaly detection algorithms. In this part, I will show a better way of data visualization, and will also use a next-generation radiation detector — Radiacode 103. It allows me to not only detect the particles but also to see their gamma spectrum and energy levels.

For those readers who missed the first part, I recommend reading it first:

Exploratory Data Analysis: Radiation Monitoring with Python and Geiger Counter

Both datasets, collected from a Geiger tube and Radiacode, are available on Kaggle; the link can be found at the end of the article.

Let’s get started!

1. Visualizing The Geiger Counter Data

In the previous part, I collected the radiation data using a Raspberry Pi and a Geiger–Müller tube. When the charged particle reaches the tube, the gas in the…