
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.
spexwavepy, Crystallography, speckle tracking, x-ray optics, QD901-999, Nuclear and particle physics. Atomic energy. Radioactivity, wavefront sensing, QC770-798, python packages, PhotonMEADOW2023 workshop
spexwavepy, Crystallography, speckle tracking, x-ray optics, QD901-999, Nuclear and particle physics. Atomic energy. Radioactivity, wavefront sensing, QC770-798, python packages, PhotonMEADOW2023 workshop
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