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AES is a powerful analytical technique, especially effective when used with plasma sources, producing abundant spectra in characteristic emission lines. The Inductively Coupled Plasma (ICP), in particular, yields superior quantitative analytical data due to its high stability, low noise, low background, and minimal interferences under optimal experimental conditions. However, newer air-operated microwave sources are emerging as promising alternatives that could be more cost-effective than...
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Chameleon: a cloud computing Industry 4.0 neutron spectrum unfolding code.

Igor A Machado1, Marco Aurelio S Lacerda1, Ma Del Rosario Martinez-Blanco2

  • 1Laboratório de Calibração de Dosímetros, Centro de Desenvolvimento da Tecnologia Nuclear, CDTN, Belo Horizonte, MG, Brazil.

Radiation Protection Dosimetry
|October 11, 2023
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Summary
This summary is machine-generated.

This study introduces Chameleon, a cloud-based neutron spectrum unfolding code utilizing Industry 4.0 cloud computing. This user-friendly tool, accessible via web browsers, aims to simplify complex neutron spectrum analysis.

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Area of Science:

  • Nuclear Engineering
  • Computational Physics
  • Industry 4.0 Technologies

Background:

  • Neutron spectrum unfolding is crucial for nuclear applications.
  • Existing methods can be complex and computationally intensive.
  • Industry 4.0 and cloud computing offer new avenues for accessible scientific tools.

Purpose of the Study:

  • To present Chameleon, a novel cloud computing (CC) Industry 4.0 (I4) neutron spectrum unfolding code.
  • To demonstrate the feasibility and user-friendliness of a web-based neutron analysis tool.
  • To implement and validate the SPUNIT algorithm within the Chameleon framework.

Main Methods:

  • Development of the Chameleon code using Python and the Streamlit framework.
  • Execution on cloud infrastructure as an Industry 4.0 Cloud Computing (I4 CC) technology.
  • Implementation of the SPUNIT algorithm for neutron spectrum unfolding.
  • Validation through preliminary tests and user interface design.

Main Results:

  • Chameleon provides an easy, friendly, and intuitive solution for the neutron spectrum unfolding problem.
  • The code is accessible via the internet using mobile devices and web browsers.
  • Initial validation confirms the code's potential for successful application in various settings.

Conclusions:

  • Chameleon represents a significant advancement in making neutron spectrum unfolding more accessible.
  • The Industry 4.0 Cloud Computing approach enhances the usability and reach of nuclear data analysis tools.
  • Further validation and algorithm integration are planned for future development.