Study Of Structural Changes Of Active Galactic Nuclei Based On Image Processing Technology

Active galactic nucleus is the general term for an object who has nonstellar activity in its center area of nucleus. Generally speaking, AGN phenomena refers to the energetic phenomena taken place in the galactic nuclei. The radiation from typical AGNs covers a broad frequency range from the low frequency radio ray to the high frequency X-ray, even r-ray. The VLBI image is quite important to study AGNs including CSO, a Compact Symmetrical Object for their core activities. There is a professional software to reduce the data while the process is not automatic. In order to change the image processing easier and more reliable, we need to compare the MATLAB image processing results with DIFMAP's. In this paper, we will introduce a new technique for VLBI image processing which is programed by MATLAB and python in order to reduce the work of human and promote the efficiency of data reduction. Its name is AutoFit short for Automatic Model Fitting. After comparing the results of both MATLAB and DIFMAP, we got the similar results and faster processing speed by AutoFit program. AutoFit has more advantages in platform compatibility, portability, expandability than the traditional data reduction methods. As a result of using globally optimal solution, AutoFit fits to reduce large scale data better. Together with its powerful expandability, it is really convenient for scientists to do deeper researchs and find more valuable information. In the future work, we will optimize our GUI interface and run our program on GPU.