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pygid:一个Python包,用于快速减少放牧发生率衍射的数据

Ainur Abukaev¹, Constantin Völter¹, Mikhail Romodin¹

¹Institut für Angewandte Physik, Universität Tübingen, Auf der Morgenstelle 10, 72076 Tübingen, Germany.

Journal of applied crystallography

|February 6, 2026

概括

一个新的Python库,Pygid,为放牧事件衍射实验提供了高效的数据处理. 它标准化了数据格式,使得更快的分析和与机器学习工具对X射线数据的兼容性成为可能.

科学领域:

材料科学材料科学材料科学
凝聚物质物理学凝聚物质物理学
数据科学数据科学数据科学

背景情况:

现代的X射线和中子源每次实验都会产生千兆字节的数据.
现有的数据处理工具对于传输几何学是有效的,但对于放牧事件衍射不是.
需要标准化数据格式来进行高级分析,包括机器学习.

研究的目的:

开发一个Python库,pygid,以高效地处理放牧事件衍射数据.
为各种原始数据格式提供兼容性,并建立标准化存储格式.
根据FAIR原则,促进数据分析和元数据策划.

主要方法:

开发了Pygid Python库的开发工作.
实现对多个坐标系统和几何形状 (传输和放牧事件) 的支持.
处理大型数据集的能力,执行1D线切割,并模拟布拉格峰值位置.

主要成果:

皮吉德 (Pygid) 能够快速处理用于放牧发生率X射线衍射和放牧发生率广角X射线散射的数据.
该库确保与各种原始数据格式的兼容性,并提供标准化的输出.
pygid可以与机器学习管道无集成,用于高级数据分析.

结论:

皮吉德解决了在牧场发生率衍射中高效和标准化数据处理的需求.
该图书馆提高了科学研究数据的可访问性和可用性.
机器学习驱动分析的mlgid管道中的Pygid是关键的第一步.

关键词:

在Python中使用的Python包.数据分析数据分析数据分析数据减少数据的减少.牧场发生率X射线衍射GIXD 牧场发生率小角度X射线散射 GISAXSS 放牧发生率广角X射线散射GIWAXSS 小角X射线散射SAXSS的小角X射线散射广角X射线散射WAXSS广角X射线散射

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