| Modern astronomy has stepped into the era of full-wavelength astronomy,and the significance of studying objects in multi-wavelength is that we can get a complete image of a celestial body.For a celestial body,the causes and physical conditions of radiation in different bands are usually different.Therefore,in modern astrophysical research and astronomical image processing methods,multi-band combined photometry is very important.Based on the multi-band data which the parallel fields of six galaxy cluster in Hubble Frontier Fields（HFF）and the e Xtreme Deep Field（XDF）observed by the Hubble Space Telescope（HST）,this paper develops a multi-band joint photometric pipeline,which specifically includes background estimation,point spread function matching,source detection,fitting photometric redshift and stellar mass,and then generating multi-band combined photometric catalogues and value-added catalogues.We have written special python code for each processing step,and we also provide a detailed description of the installation and use of the auxiliary software used in the data processing,and describe the corresponding configuration file parameters in detail.The research results show that we have detected 2249,2576,1649,2566,2740,2989 and 7249 sources in the parallel fields of six galaxy clusters in HFF,A2744 par,M0416par,M0717 par,M1149par,A1063 par,A370par and XDF,respectively.We compared the obtained HFF catalogues with the catalogues released by the international Deep Space team,and got basically the same processing results.Finally,we used these catalogues to perform a preliminary screening of intermediate redshift massive red disk galaxies using the UVI color analysis method,and selected nine massive red disk galaxies using Galfit,and subsequent work will use,for example,GOODS-S and GOODS-N data to filter out massive red disk galaxies and study in depth the color gradients and other properties of such galaxies. |
