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Igor Andrade Machado1, Roberto García-Baonza2, Marco Aurélio de Sousa Lacerda1

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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.

Keywords:
Bonner sphere spectrometryGraphical user interfaceNeutron spectrometryPythonUnfolding codes

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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.