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November 7, 2025Open Access

An extensible Julia toolkit for symmetry-aware dual-space phasing in arbitrary dimensions

Kalugin, Pavel Kalugin, Pavel

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Key Points

The toolkit improves dual-space phasing methods, enhancing efficiency for complex data sets.
It offers a flexible solution to symmetry-aware phasing challenges in high-dimensional spaces.
With its extensible design, the toolkit adapts to various computational needs and user requirements.
Such advancements may enable breakthroughs in fields relying on phase information for data interpretation.

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Implication

New toolkit enables enhanced dual-space phasing using symmetry in arbitrary dimensions, suggesting advancements in computational techniques.

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Cite This Study

Pavel et al. (2025) studied this question.

synapsesocial.com/papers/692b94261d383f2b2a378308 https://doi.org/10.1107/s2053273325009830

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