The invention discloses a VLBI measurement multi-epoch data fitting and
visualization method based on a regression
voltage regulation stripping
algorithm. The method is suitable for identification and matching of a radio astronomical
jet flow component trajectory. The method comprises the following steps: firstly, reading multi-epoch
observation data and carrying out self-adaptive preprocessing to extract effective data; the core is to strip an entanglement component through double-loop iterative fitting; a main loop identifies a local trajectory mode based on sampling point pseudo normal distribution; in the secondary cycle, a curve is fitted through orthogonal distance regression,
extrusion-
fine tuning is carried out by utilizing an adjustable cycle
gain and a dynamic threshold value, and the corresponding relation of components among multiple epochs is automatically matched. According to the method, non-uniform sampling and linear and non-linear trajectories can be processed, and finally fitting parameters, physical quantities, a corresponding relation table and a multi-subgraph
visualization result integrating fitting curves, residual errors and probability distribution are output. The whole process is highly automatic, false components are effectively eliminated through
cross validation, the precision and efficiency of
jet flow motion characteristic analysis are remarkably improved, and subjective errors are reduced.