Automatic alignment of a synchrotron radiation source beamline using intelligent systems

S. Olof Svensson; Roberto Pugliese

doi:10.1117/12.326729

13 October 1998 Automatic alignment of a synchrotron radiation source beamline using intelligent systems

S. Olof Svensson, Roberto Pugliese

Proceedings Volume 3455, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation; (1998) https://doi.org/10.1117/12.326729
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1998, San Diego, CA, United States

Abstract

Synchrotron Radiation (SR) sources in general, and the new third generation SR sources in particular, deliver very intense x-ray beams with very low divergence. However, due to small shifts of the sorted electron beam position caused by re-optimization of the closed orbit after shutdowns, the beamlines must be regularly re-aligned in order to deliver optimum performance. Since the beamlines generally contain complicated optical elements, such as x- ray mirrors and monochromators, the alignment procedure is difficult and time-consuming. Automatic beamline alignment has been envisaged in order to more constantly keep optimal performance of the beamline. An Intelligent System approach has been chosen to face the complexity of x-ray beamline alignment. A knowledge-based system has been chosen for the development of the automatic alignment tools. The developed tools have been applied to the multi-wavelength anomalous dispersion (MAD) beamline of the European Synchrotron Radiation (ESRF). The intensity and the spot shape at the sample position, obtained by using a small 2D CCD detector, were optimized by automatically aligning the main optical element, a bent cylindrical mirror that focuses the beam in both horizontal and vertical directions. The developed automatic techniques have been shown to robustly optimize the intensity and the focal spot shape on the ESRF MAD beamline. A series of images of the beam shape showing the optimization will be presented.

Citation Download Citation

S. Olof Svensson and Roberto Pugliese "Automatic alignment of a synchrotron radiation source beamline using intelligent systems", Proc. SPIE 3455, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation, (13 October 1998); https://doi.org/10.1117/12.326729

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