Monte Carlo toolkit for designing and validating step-range-filter spectrometer designs
T M Johnson1, B Lahmann1,2, L Russell1
1Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.
The Review of Scientific Instruments
|February 4, 2025
Summary
A new Monte Carlo toolkit validates step range filter (SRF) spectrometer designs using Geant4 simulations. This tool quantifies SRF performance and aids in designing better spectrometers for nuclear fusion research.
Area of Science:
- Nuclear spectroscopy
- Computational physics
- Particle detection instrumentation
Background:
- Step-range filter (SRF) spectrometers are crucial for diagnosing charged particle spectra in fusion experiments.
- Accurate validation of SRF designs and analysis methods is essential for reliable experimental data.
- Existing methods may not fully account for instrument response and detector effects.
Purpose of the Study:
- To present a Monte Carlo toolkit for validating SRF spectrometer designs.
- To generate synthetic SRF data that includes realistic CR-39 detector effects.
- To demonstrate the toolkit's utility in validating specific SRF designs and analysis techniques.
Main Methods:
- Utilizing Geant4 for charged particle transport simulations through SRF filters.
- Generating synthetic SRF data incorporating realistic CR-39 detector responses.
- Applying the toolkit to validate a broadband SRF for 3He3He proton spectra and a compact recoil-proton spectrometer (CRS) design.
Main Results:
- The toolkit successfully generates synthetic SRF data accounting for instrument response.
- Validation of a new broadband SRF for the 3He3He proton spectrum was achieved.
- A new analysis method for 3He3He-p SRF data and a calibration technique for DD-p SRF were proposed and validated.
Conclusions:
- The Monte Carlo toolkit provides a robust method for SRF spectrometer design validation.
- The toolkit enables quantification of SRF performance prior to experimental deployment.
- This work facilitates the development of improved spectrometer designs and analysis techniques for fusion research.


