=============================================== SCUBA-2 Ultra Deep Imaging EAO Survey (STUDIES) Final Catalog Version 20230206 Zhen-Kai Gao =============================================== ========================== Description of the columns ========================== Column 1 -- ID -- Unit: N/A -- Description: The name of the source. Column 2 -- nID -- Unit: N/A -- Description: The numerical ID of the source. Column 3 -- RA -- Unit: degree -- Description: Right ascension (J2000) Column 4 -- Dec -- Unit: degree -- Description: Declination (J2000) Column 5 -- x -- Unit: N/A -- Description: The zero-based index of the source position on the x-axis of the image. Column 6 -- y -- Unit: N/A -- Description: The zero-based index of the source position on the y-axis of the image. Column 7 -- SNR -- Unit: N/A -- Description: The signal-to-noise ratio of the source. Column 8 -- S450_raw or S850_raw -- Unit: mJy -- Description: The raw flux density of the source. Column 9 -- S450_raw_err or S850_raw_err -- Unit: mJy -- Description: ---- S450_raw_err: The instrumental noise at the source position. ---- S850_raw_err: The combined noise of instrumental noise and confusion noise. Column 10 -- S450 or S850 -- Unit: mJy -- Description: The deboosted flux density of the source. Column 11 -- S450_total_err or S850_total_err -- Unit: mJy -- Description: The total noise consisting of instrumental noise, flux-deboosting uncertainty, and confusion noise. Column 12 -- Comp -- Unit: N/A -- Description: The completeness of the source estimated by the Monte Carlo simulations. Column 13 -- Spur -- Unit: N/A -- Description: The spurious probability of the source estimated by the Monte Carlo simulations. =================================== How to read this catalog in Python? =================================== 1. CSV format *****************(1)****************** import pandas as pd df = pd.read_csv('your_file_name.csv') *****************(2)****************** import numpy as np dat = np.genfromtxt('your_file_name.csv', skip_header=1, delimiter=',') *****************(3)****************** from astropy.table import Table tb = Table.read('your_file_name.csv') ************************************** 2. FITS format ************************************** from astropy.table import Table tb = Table.read('your_file_name.fits') ************************************** Contacts: Wei-Hao Wang: whwang@asiaa.sinica.edu.tw