THU October 8

Thursday, October 8 am - Workshops

Anatomy and Physiology of X-ray Pixel Detectors

Applications of Machine Learning in the Structural Sciences



Anatomy and Physiology of X-ray Pixel Detectors
Organizers: Angelo Dragone (Lead), Gabriel Blaj, Phil Hart, Chris Kenney, Mark McKelvey, Kaz Nakahara, Lorenzo Rota

The goal of the workshop is to provide a basic training on detectors, an overview of new detectors and tools available at SLAC facilities and an outline of the novel detectors under development for SLAC. In the first part presenters will provide a short overview of the architectures, the working principles, the characteristic parameters and the most common non-idealities of 2D area pixel x-ray detectors for applications at FELs and Storage Rings. Few example case studies will be presented. In the second part new available detector for run18 will be presented together with an overview of the tools for quality data tacking available at LCLS. Participants will get an introduction into how to apply calibration data, use online monitoring to assess their data and tune their experimental setup in real time. In conclusion and overview of the high frame rate detector under developments for LCLS-II/HE will be presented.

The information provided in this workshop will help users to write proposals and design their experiments with our available detectors as well as plan for future experiment based on the characteristics of the detectors under development.


Title of Talk Speaker (First, Last Name) Institution
8:00 AM Welcome and Introduction    
8:05 AM Anatomy and Physiology of X-ray Pixel Detectors Angelo Dragone SLAC
8:45 AM Case study 1: The DSSC Detector for EuXFEL Matteo Porro European X-FEL
9:05 AM Case study 2: The ePix10k Detector for LCLS Chris Kenney / Lorenzo Rota SLAC
9:25 AM Case study 3: The CITIUS Detector for Spring8 Takaki Hatsui SACLA/Spring8
9:45 AM X-ray Pixel Detectors Calibration Phil Hart / Gabriel Blaj SLAC
10:10 AM Coffe break / Slideshow    
10:20 AM New detectors for run18 at LCLS Mark McKelvey SLAC
10:40 AM How to take good data: tools for detectors at LCLS
(On line monitors,GUI interfaces, calibration scripts)
Kaz Nakahara SLAC
11:10 AM Basic consideration for detector data analysis Gabriel Blaj / Phil Hart SLAC
11:30 AM X-ray Detector Developments for LCLS-II/HE Angelo Dragone / Mark McKelvey SLAC
12:00 PM Conclusion



  • Applications of Machine Learning in the Structural Sciences
    • Organizers:  Blaine Mooers (U Oklahoma), Tzanko Doukov (SLAC/SSRL)
    • Summary:  The workshop highlights the applications of machine learning in the areas of the X-ray diffraction, Small Angle X-ray Scattering, and Electron microscopy. Machine learning is broadly and loosely defined. Several presentations include the application of Bayesian methods.
    • Speakers/Program Details:  Check back later