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SpecUnPy: A python GUI/App for neutron spectrum unfolding
Igor Andrade Machado1, Roberto García-Baonza2, Marco Aurélio de Sousa Lacerda1
1Laboratório de Calibração de Dosímetros, Centro de Desenvolvimento da Tecnologia Nuclear, CDTN, Av. Presidente Antônio Carlos, 6627, Pampulha, CEP: 31270-901, Belo Horizonte, MG, Brazil.
Summary
This study introduces SpecUnPy, a Python application for neutron spectrum unfolding using Bonner Sphere Spectrometers. It offers multiple algorithms and user-friendly data export for enhanced analysis.
Area of Science:
- Nuclear Physics
- Radiation Detection and Measurement
Background:
- Bonner Sphere Spectrometers (BSS) are essential tools for neutron spectrometry.
- Neutron spectra are typically derived through unfolding detector readings.
- Existing unfolding methods can be complex and lack user-friendly interfaces.
Purpose of the Study:
- To present SpecUnPy, a novel Python Graphical User Interface (GUI) application for neutron spectrum unfolding.
- To provide users with a flexible and accessible tool for analyzing BSS data.
- To validate the SpecUnPy application through performance testing.
Main Methods:
- Development of a Python-based GUI application named SpecUnPy.
- Integration of three distinct unfolding algorithms: SPUNIT, Maximum Likelihood Expectation Maximization (MLEM), and GRAVEL.
- Implementation of features allowing unlimited energy bins and detectors.
- Enabling download of unfolded spectra as '.xlsx' files and graphical comparisons.
Main Results:
- SpecUnPy successfully implements SPUNIT, MLEM, and GRAVEL unfolding algorithms.
- The application supports flexible data input without limitations on energy bins or detectors.
- Generated output includes downloadable '.xlsx' files and visual spectrum comparisons.
- Initial tests confirm the validity and functionality of the SpecUnPy application.
Conclusions:
- SpecUnPy offers a versatile and user-friendly solution for neutron spectrum unfolding with BSS.
- The application enhances data analysis accessibility for researchers in neutron spectrometry.
- Further validation and potential algorithm expansion are warranted for broader applicability.
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