Author: Panepucci, E.H.
Paper Title Page
TUA3O02
 DA+ Complex Protocols Made Easy for Macromolecular Crystallography Beamlines at the Swiss Light Source  
 
  • E.H. Panepucci, S.G. Ebner, J.A. Wojdyla
    PSI, Villigen PSI, Switzerland
  
  Software becomes a key factor for the efficient use of beamtime at synchrotrons and other facilities. Especially for macromolecular crystallography beamlines (MX) data acquisition software starts to make the difference that leads to a competitive advantage. The MX beamlines at the PSI are addressing this issue with the data acquisition software DA+. DA+ is a concept, design and implementation consisting of loosely coupled services and components written in Python and Java. The major components making up the system are the UI, acquisition engine, hardware/detector and online processing. These components are connected via messaging and streaming technologies. The main focus of the software lies on "ease of use", "simplicity", and "immediate feedback". Efficient raster scanning of samples, near real time analysis of the collected raster data and support for standard as well as advanced data acquisition protocols such as multiple anomalous diffraction data acquisition are some examples to name. In this paper the details on these and other features of the software, as well as the underlying concept, will be unveiled.  
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WED3O06
 Data Streaming - Efficient Handling of Large and Small (Detector) Data at the Paul Scherrer Institute  
 
  • S.G. Ebner, H.R. Billich, H. Brands, E.H. Panepucci, L. Sala
    PSI, Villigen PSI, Switzerland
  
  For the latest generation of detectors transmission, persistence and reading of data becomes a bottleneck. Following the traditional pattern acquisition-persistence-analysis leads to a massive delay before information on the data is available. This prevents the efficient use of beamtime for users. Also, sometimes, single nodes cannot keep up in receiving and persisting data. PSI is breaking up with the traditional data acquisition paradigm for its detectors and is focusing on data streaming, to address these issues. Data is immediately streamed out directly after acquisition. The resulting stream is either retrieved by a node next to the storage to persist the data, or split up to enable parallel persistence, as well as online processing and monitoring. The concepts, designs, and software involved in the current implementation for the Pilatus, Eiger , PCO Edge and Gigafrost detectors at SLS, as well as what we are going to use for the Jungfrau detector and the whole beam synchronous data acquisition system at SwissFEL, will be shown. It will be shown how load-balancing, scalability, extensibility and immediate feedback are achieved, while reducing overall software complexity.  
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