A new data processing technique for Rayleigh-Taylor instability growth experiments

• Main Authors: Yongteng Yuan, Shaoyong Tu, Wenyong Miao, Junfeng Wu, Lifeng Wang, Chuansheng Yin, Yidan Hao, Wenhua Ye, Yongkun Ding, Shaoen Jiang
• Format: Article
• Language: English
• Published: AIP Publishing LLC 2016-06-01
• Series: AIP Advances
• Online Access: http://dx.doi.org/10.1063/1.4953846

Typical face-on experiments for Rayleigh-Taylor instability study involve the time-resolved radiography of an accelerated foil with line-of-sight of the radiography along the direction of motion. The usual method which derives perturbation amplitudes from the face-on images reverses the actual image transmission procedure, so the obtained results will have a large error in the case of large optical depth. In order to improve the accuracy of data processing, a new data processing technique has been developed to process the face-on images. This technique based on convolution theorem, refined solutions of optical depth can be achieved by solving equations. Furthermore, we discuss both techniques for image processing, including the influence of modulation transfer function of imaging system and the backlighter spatial profile. Besides, we use the two methods to the process the experimental results in Shenguang-II laser facility and the comparison shows that the new method effectively improve the accuracy of data processing.