An efficient approach to integrated MeV ion imaging

Area of Science:

• Nuclear Physics and Instrumentation
• Materials Science and Spectroscopy

Background:

• MeV ion imaging facilities like micro-PIXE (Particle-Induced X-ray Emission) and micro-RBS (Rutherford Backscattering Spectrometry) are established.
• A new ionoluminescence (IL) spectral imaging system has been implemented at the Van de Graaff laboratory in Tehran.
• Handling large datasets from concurrent IL and MeV ion imaging measurements requires versatile processing software.

Purpose of the Study:

• To adapt and employ open-source PyMca software for simultaneous processing of micro-IL and common MeV ion imaging data.
• To validate the performance of the newly implemented micro-IL data acquisition system.
• To demonstrate the software's capability in analyzing combined micro-PIXE, micro-RBS, and micro-IL experimental data.

Main Methods:

• Implementation of an ionoluminescence (IL) spectral imaging system.
• Adaptation of the open-source PyMca freeware for data processing.
• Modification of PyMca to support the OM_DAQ listmode data format for micro-IL data.
• Simultaneous analysis of data from micro-IL, micro-PIXE, and micro-RBS experiments.

Main Results:

• PyMca was successfully adapted to process and analyze large datasets from micro-IL measurements concurrently with micro-PIXE and micro-RBS data.
• The adapted software demonstrated appropriate performance for the micro-IL data acquisition system, confirmed via a case study.
• The study presents the capabilities of PyMca for integrated analysis of multiple MeV ion imaging techniques.

Conclusions:

• The adapted PyMca software provides a versatile solution for simultaneous analysis of micro-IL, micro-PIXE, and micro-RBS data.
• The implemented micro-IL system and the data processing workflow are effective for advanced materials characterization.
• This integrated approach enhances the analytical capabilities at the Van de Graaff laboratory.