Open AccessSmart X‐ray beam position monitor system using artificial‐intelligence methods for the Advanced Photon Source insertion‐device beamlines
Author(s) -
Shu Deming,
Ding Hai,
Barraza Juan,
Kuzay Tuncer M.,
Haeffner Dean,
Ramanathan Mohan
Publication year - 1998
Publication title -
journal of synchrotron radiation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.172
H-Index - 99
ISSN - 1600-5775
DOI - 10.1107/s0909049597017056
Subject(s) - beamline , advanced photon source , optics , beam (structure) , signal (programming language) , front and back ends , position (finance) , computer science , physics , photon , operating system , finance , economics , programming language
At the Advanced Photon Source (APS), each insertion‐device (ID) beamline front end has two X‐ray beam position monitors (XBPMs) to monitor the X‐ray beam position for both vertical and horizontal directions. Performance challenges for a conventional photoemission‐type XBPM during operations are contamination of the signal from the neighbouring bending‐magnet sources and the sensitivity of the XBPM to the insertion‐device gap variations. Problems are exacerbated because users change the ID gap during their operations, and hence the percentage level of the contamination in the front‐end XBPM signals varies. A smart XBPM system with a high‐speed digital signal processor has been built at the Advanced Photon Source for the ID beamline front ends. The new version of the software, which uses an artificial‐intelligence method, provides a self‐learning and self‐calibration capability to the smart XBPM system. The structure of and recent test results with the system are presented in this paper.