ZHOU Yongnian, ZHANG Zhaohong, LIU Ping, et al. QXAFS data acquisition and control based on DCM[J]. Nuclear techniques, 2015, 38(5): 050101
DOI:
ZHOU Yongnian, ZHANG Zhaohong, LIU Ping, et al. QXAFS data acquisition and control based on DCM[J]. Nuclear techniques, 2015, 38(5): 050101 DOI: 10.11889/j.0253-3219.2015.hjs.38.050101.
QXAFS data acquisition and control based on DCM封面论文
DCM)是上海光源XAFS光束线站的关键设备,它能够将一定波长范围内的白光单色化,并将单色光束稳定出射至下游光学元件。上海光源XAFS光束线站数据采集程序是在LabVIEW环境下开发的,而其采用了步进电机的DCM控制系统则采用了基于分布式控制的实验物理及工业控制系统(Experimental Physics and Industrial Control System
Background: Quick-scanning X-ray Absorption Fine Structure (QXAFS) is a powerful tool for measuring and determining the environmental structure of specific absorption atoms. It has been widely applied in the fields of solid state physics
catalyst and protein molecules. Double Crystal Monochromator (DCM) is a key device at XAFS beamline of Shanghai Synchrotron Radiation Facility (SSRF). It is used to change the certain wavelength of white light to monochromatic light and pass it to follow-up optical elements. The Bragg motor of the DCM is a step motor and its control system adopts Experimental Physics and Industrial Control System (EPICS) while the data acquisition system (DAQ) of QXAFS is developed in LabVIEW. Purpose: The present QXAFS control system at the XAFS beamline is using LabVIEW based DAQ which contains some drawbacks
such as the energy drift and spectrum distortion. It is running in the Windows operating system environment while the DCM control system is running in Linux. The network transmission delay occurs at the communication between the two different kinds of system. The aim of this study is to design and implement fast time-resolved QXAFS data acquisition system based on EPICS that can solve these defects. Methods: Two 1-MHz hardware trigger signal is generated and used to collect the signals of ionization chambers and the step motor synchronously in the new design. The software of the system is developed in EPICS and runs in the Linux operating system environment. The experimental method is implemented by python routine which is also integrated into the Graphical User Interface (GUIG). Results: Conventional XAFS spectrum and four QXAFS spectra with an energy range of 1.2 keV at the Cu K-edge have been collected in less than 8 s at the XAFS beamline. The experimental results indicate the QXAFS system can ensure a good signal-to-noise ratio (SNR)
as well as a perfect stability and repeatability. Conclusion: The QXAFS data acquisition system based on EPICS is achieved at the XAFS beamline at SSRF. It has great practical significance for carrying out fast time-resolved QXAFS experiment at SSRF.Cited