sebassaras02/hpge_data_rp_publication

This repository has the information used in data treatment.

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]

Contacts:

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• ResearchGate