HPGe detector Calibration and Data Analysis

This repository contains the GEANT4 applications built, experimental data, and jupyter notebooks employed for the data analysis.

Table of Contents

• e_results folder: has the experimental data for detector calibration.

• s_results folder: has the experimental data for detector calibration obtained from the GEANT4 application.

• hpge_data_treat.ipynb is the data treatment, data analisis, and data visualization of the results.

• d_funciones.py has functions and classes used to modularize the code.

Data

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• The experimental data come from several experiments done in the Nuclear Science Department at Escuela Politécnica Nacional, Quito - Ecuador.
• The simulated data come from simulations run on the GEANT4 application.

HPGe detector

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1. What is a HPGe detector? A HPGe detector is a Hyper Pure Germanium Detector. This kind of detector is used in gamma spectroscopy to identify different isotopes in a sample.

2. How is calibrated an HPGe detector? The HPGe detector is calibrated through standars with a known activity. It is counted how many particles is the detector able to register effectively. The calibration is done with the Full Energy Peak Efficiency (FEPE).

$$ FEPE = \frac{AP}{E*P} $$

Where:

• AP: is the area of a photopeak for a energy window
• E: is the activity of the radioactive source
• P: is the probability of the emission

How a HPGe detector looks like:

FlowChart of the Data Treatment

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  graph TD
    A[Collect experimental data] --> B(Collect simulated data)
    B --> C{FEPE calibration for experimental data}
    C --> D[Is the calibration succesfull]
    D -->|Yes| E[FEPE calibration for simulated data]
    D -->|No| F[Try all again]
    E --> G[Scale simulated data]
    G --> H[Compare simulated and experimental results]

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