Abstract
The recently upgraded DMC diffractometer at SINQ, Paul Scherrer Institute, Switzerland, equipped with a state-of-the-art 2D 3He detector, enables high-resolution neutron diffraction experiments optimized for both powder and single-crystal studies. To address the increased complexity and volume of data produced by this instrument, we developed DMCPy, a Python-based software library tailored specifically to enable data analysis for DMC. DMCPy facilitates seamless data reduction and visualization, supporting conversion to reciprocal space, normalization, and masking of detector artifacts. Its modular architecture integrates tools for analyzing both powder diffraction patterns and single-crystal datasets, including advanced visualization features like 3D reciprocal space mapping and interactive scan inspection. By streamlining workflows and enhancing data interpretation, DMCPy empowers researchers to unlock the full potential of the DMC instrument for probing nuclear and magnetic structures in condensed matter systems.
| Original language | English |
|---|---|
| Article number | 102237 |
| Journal | SoftwareX |
| Volume | 31 |
| Number of pages | 9 |
| ISSN | 2352-7110 |
| DOIs | |
| Publication status | Published - 25 Jun 2025 |
Keywords
- Elastic neutron scattering
- Neutron diffraction
- Powder diffraction
- Visualization tool
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