A Hierarchical Method for Locating the Interferometric Fringes of Celestial Sources in the Visibility Data  

作　　者：Rong Ma Ruiqing Yan Hanshuai Cui Xiaochun Cheng Jixia Li Fengquan Wu Zongyao Yin Hao Wang Wenyi Zeng Xianchuan Yu 

机构地区：[1]School of Artificial Intelligence,Beijing Normal University,Beijing 100875,China [2]Department of Computer Science,Swansea University,Swansea,SA18EN,UK [3]National Astronomical Observatories,Chinese Academy of Sciences,Beijing 100101,China

出　　处：《Research in Astronomy and Astrophysics》2024年第3期110-128,共19页天文和天体物理学研究（英文版）

基　　金：supported by the National Natural Science Foundation of China(NSFC,grant Nos.42172323 and 12371454)。

摘　　要：In source detection in the Tianlai project,locating the interferometric fringe in visibility data accurately will influence downstream tasks drastically,such as physical parameter estimation and weak source exploration.Considering that traditional locating methods are time-consuming and supervised methods require a great quantity of expensive labeled data,in this paper,we first investigate characteristics of interferometric fringes in the simulation and real scenario separately,and integrate an almost parameter-free unsupervised clustering method and seeding filling or eraser algorithm to propose a hierarchical plug and play method to improve location accuracy.Then,we apply our method to locate single and multiple sources’interferometric fringes in simulation data.Next,we apply our method to real data taken from the Tianlai radio telescope array.Finally,we compare with unsupervised methods that are state of the art.These results show that our method has robustness in different scenarios and can improve location measurement accuracy effectively.

关 键 词：methods data analysis-techniques image processing-techniques INTERFEROMETRIC 

分 类 号：P412.17[天文地球—大气科学及气象学]