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RadioactiveDataScience v5.5.7

What can be created?

"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.

Check out all our DataScience libraries under the SpaceData series!

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

Library Scope
MQDataScience MQ2, MQ3, MQ4, MQ5, MQ6, MQ7, MQ8, MQ9, MQ131_LOW, MQ131_HIGH, MQ135, MQ136, MQ137, MQ138, MQ214, MQ216, MQ303A, MQ303B, MQ306A, MQ307A, MQ309A Gas Sensors
TGSDataScience TGS813, TGS822, TGS826, TGS2201, TGS2442, TGS2600, TGS2602, TGS2610, TGS2611, TGS2612, TGS2620, TGS6812, TGS8100 Gas Sensors
MG811DataScience MG811 Gas Sensor
SP3S-AQ2DataScience SP3S-AQ2-01 Gas Sensor
RadioactiveDataScience Geiger Counter

For detailed explanation, You can also check out the github Wiki Page!

You can access the library's article Here!