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Contrast - a lightweight Python framework for beamline orchestration and data acquisition.

Alexander BjörlingClemens WeningerMaik KahntSebastian KalbfleischUlf JohanssonSimone SalaFilip LenrickKarina Thånell
Published in: Journal of synchrotron radiation (2021)
The emergence of fourth-generation synchrotrons is prompting the development of new systems for experimental control and data acquisition. However, as general control systems are designed to cover a wide set of instruments and techniques, they tend to become large and complicated, at the cost of experimental flexibility. Here we present Contrast, a simple Python framework for interacting with beamline components, orchestrating experiments and managing data acquisition. The system is presented and demonstrated via its application at the NanoMAX beamline of the MAX IV Laboratory.
Keyphrases
  • electronic health record
  • big data
  • magnetic resonance
  • machine learning
  • computed tomography
  • contrast enhanced
  • artificial intelligence