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Improved calibration of area detectors using multiple placements.

Caitlin HornKeara M GinellRobert B Von DreeleAndrey A YakovenkoBrian H Toby
Published in: Journal of synchrotron radiation (2019)
Calibration of area detectors from powder diffraction standards is widely used at synchrotron beamlines. From a single diffraction image, it is not possible to determine both the sample-to-detector distance and the wavelength, but, with images taken from multiple positions along the beam direction and where the relative displacement is known, the sample-to-detector distance and wavelength can both be determined with good precision. An example calibration using the GSAS-II software package is presented.
Keyphrases
  • deep learning
  • low cost
  • electron microscopy
  • monte carlo
  • image quality
  • convolutional neural network
  • optical coherence tomography
  • magnetic resonance imaging
  • magnetic resonance
  • machine learning