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This library offers seamless integration with Geiger counters, providing comprehensive radiation metrics such as µSv/hr, average dose rate, standard deviation, and CPM statistics (Avg, sdCPM, CPM count), while enabling advanced data science workflows through gradient-based Multidimensional Radioactive Decay Estimation using Python.

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RadioactiveSpaceData v5.1.0

RadioactiveDataScience What can be create?

"The first and only Arduino library where Geiger Counter combine with Data Science"

1) Multidimensional Radioactive Decay Estimations in 3 Different Modes

3D Analysis

3D_preview

Data Visualization

2D_preview

Multi Graph

multi_preview

This repository presents a multivariable exponential regression model to estimate Average CPM (counts per minute) based on Time, Radiation dose rate (Usv/hr), Standard Deviation of CPM (sdCPM), and Total CPM Count.

2) Development of a Unique Model Equation

The predicted average CPM is defined by the following equation:

formullas

Where:

formullas2

3) Creation of Original Algorithm Logic

  1. Input features:

    • Time
    • Usv/hr (radiation dose rate)
    • sdCPM (standard deviation of CPM)
    • CPM Count (total count)
  2. Apply natural logarithm (ln) to all features except time to linearize exponential behavior.

  3. Fit a linear regression model to:

logformulla
  1. Final prediction is obtained by exponentiating the output.

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This library offers seamless integration with Geiger counters, providing comprehensive radiation metrics such as µSv/hr, average dose rate, standard deviation, and CPM statistics (Avg, sdCPM, CPM count), while enabling advanced data science workflows through gradient-based Multidimensional Radioactive Decay Estimation using Python.

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