DMCpy: A powder and single crystal neutron diffraction software for DMC
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arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| _version_ | 1866917297611866112 |
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| author | Lass, Jakob Moody, Samuel Harrison Fjellvåg, Øystein Slagtern |
| author_facet | Lass, Jakob Moody, Samuel Harrison Fjellvåg, Øystein Slagtern |
| contents | The recently upgraded DMC diffractometer at SINQ, equipped with a state-of-the-art 2D He 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 package tailored specifically for DMC data analysis. 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_08845 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | DMCpy: A powder and single crystal neutron diffraction software for DMC Lass, Jakob Moody, Samuel Harrison Fjellvåg, Øystein Slagtern Data Analysis, Statistics and Probability Instrumentation and Detectors The recently upgraded DMC diffractometer at SINQ, equipped with a state-of-the-art 2D He 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 package tailored specifically for DMC data analysis. 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. |
| title | DMCpy: A powder and single crystal neutron diffraction software for DMC |
| topic | Data Analysis, Statistics and Probability Instrumentation and Detectors |
| url | https://arxiv.org/abs/2501.08845 |