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Spexwavepy: an open-source Python package for X-ray wavefront sensing using speckle-based techniques.
Hu, Lingfei; Wang, Hongchang; Sawhney, Kawal.
Afiliación
  • Hu L; National Synchrotron Radiation Laboratory, University of Science and Technology of China, Hefei, Anhui 230029, People's Republic of China.
  • Wang H; Diamond Light Source, Harwell Science and Innovation Campus, Didcot OX11 0DE, United Kingdom.
  • Sawhney K; Diamond Light Source, Harwell Science and Innovation Campus, Didcot OX11 0DE, United Kingdom.
J Synchrotron Radiat ; 31(Pt 5): 1037-1042, 2024 Sep 01.
Article en En | MEDLINE | ID: mdl-39078691
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Synchrotron Radiat Asunto de la revista: RADIOLOGIA Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Synchrotron Radiat Asunto de la revista: RADIOLOGIA Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos