JUNGFRAU detector for brighter x-ray sources: Solutions for IT and data science challenges in macromolecular crystallography

JUNGFRAU detector for brighter x-ray sources: Solutions for IT and data science challenges in macromolecular crystallography

In this paper, we present a data workflow developed to operate the adJUstiNg Gain detector FoR the Aramis User station (JUNGFRAU) adaptive gain charge integrating pixel-array detectors at macromolecular crystallography beamlines. We summarize current achievements for operating at 9 GB/s data-rate a...

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Bibliographic Details
Main Authors: Filip Leonarski, Aldo Mozzanica, Martin Brückner, Carlos Lopez-Cuenca, Sophie Redford, Leonardo Sala, Andrej Babic, Heinrich Billich, Oliver Bunk, Bernd Schmitt, Meitian Wang
Format: Article
Language:English
Published: AIP Publishing LLC and ACA 2020-01-01
Series:Structural Dynamics
Online Access:http://dx.doi.org/10.1063/1.5143480

Internet

http://dx.doi.org/10.1063/1.5143480

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