{"title":"Spexwavepy: an open-source Python package for X-ray wavefront sensing using speckle-based techniques.","authors":"Lingfei Hu, Hongchang Wang, Kawal Sawhney","doi":"10.1107/S1600577524005861","DOIUrl":null,"url":null,"abstract":"<p><p>In situ wavefront sensing plays a critical role in the delivery of high-quality beams for X-ray experiments. X-ray speckle-based techniques stand out among other in situ techniques for their easy experimental setup and various data acquisition modes. Although X-ray speckle-based techniques have been under development for more than a decade, there are still no user-friendly software packages for new researchers to begin with. Here, we present an open-source Python package, spexwavepy, for X-ray wavefront sensing using speckle-based techniques. This Python package covers a variety of X-ray speckle-based techniques, provides plenty of examples with real experimental data and offers detailed online documentation for users. We hope it can help new researchers learn and apply the speckle-based techniques for X-ray wavefront sensing to synchrotron radiation and X-ray free-electron laser beamlines.</p>","PeriodicalId":48729,"journal":{"name":"Journal of Synchrotron Radiation","volume":null,"pages":null},"PeriodicalIF":2.5000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11371044/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Synchrotron Radiation","FirstCategoryId":"101","ListUrlMain":"https://doi.org/10.1107/S1600577524005861","RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/7/30 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In situ wavefront sensing plays a critical role in the delivery of high-quality beams for X-ray experiments. X-ray speckle-based techniques stand out among other in situ techniques for their easy experimental setup and various data acquisition modes. Although X-ray speckle-based techniques have been under development for more than a decade, there are still no user-friendly software packages for new researchers to begin with. Here, we present an open-source Python package, spexwavepy, for X-ray wavefront sensing using speckle-based techniques. This Python package covers a variety of X-ray speckle-based techniques, provides plenty of examples with real experimental data and offers detailed online documentation for users. We hope it can help new researchers learn and apply the speckle-based techniques for X-ray wavefront sensing to synchrotron radiation and X-ray free-electron laser beamlines.
原位波前传感在为 X 射线实验提供高质量光束方面起着至关重要的作用。基于 X 射线斑点的技术因其简单的实验设置和多种数据采集模式而在其他原位技术中脱颖而出。虽然基于 X 射线斑点的技术已经发展了十多年，但仍然没有用户友好的软件包供新研究人员开始使用。在此，我们介绍一款开源 Python 软件包--spexwavepy，用于基于斑点技术的 X 射线波前传感。这个 Python 软件包涵盖了多种基于斑点技术的 X 射线波前传感技术，提供了大量真实实验数据示例，并为用户提供了详细的在线文档。我们希望它能帮助新研究人员学习并将基于斑点的 X 射线波前传感技术应用于同步辐射和 X 射线自由电子激光光束线。
期刊介绍：
Synchrotron radiation research is rapidly expanding with many new sources of radiation being created globally. Synchrotron radiation plays a leading role in pure science and in emerging technologies. The Journal of Synchrotron Radiation provides comprehensive coverage of the entire field of synchrotron radiation and free-electron laser research including instrumentation, theory, computing and scientific applications in areas such as biology, nanoscience and materials science. Rapid publication ensures an up-to-date information resource for scientists and engineers in the field.
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