survey_analysis

This works on image files in FITS format. It is given the name of a FITS file, or a name with wild-cards (to be interpreted by glob.glob), or the name of a file containing a list of fits file names. The list file name should be prefixed with @.

Outputs are written to the working directory; this is either the current directory, or the directory given with the -d option.

Input file names must successfully address the input files from the working directory.

Two kinds of output are produced: 1. <workdir>/racs_stats_<run_date>.csv is created and statistics and PSF details are written to it. 2. <workdir>/<image_file_name>.rms.fits is created; this is the rms image from which statistics are determined. ————————————————————-

Module Contents

Functions

arg_init()
do_noise_statistics(in_files, survey[, replace, ...])
filter(hsib, flux_peak)
get_filtered_sources(beam_table)
do_bright_src_errs(in_file, survey)
write_b_err(db, fld, sb, data)
write_stats(db, in_table)
set_warn_filters()
main()

Attributes

NOFORMAT
b_err_colnames
b_err_coltypes
b_err_types
stats_colnames
stats_coltypes
stats_types
explanation

survey_analysis.NOFORMAT = '{noformat}\n'

survey_analysis.b_err_colnames = ['RA_DEG', 'DEC_DEG', 'BR_MIN', 'BR_MAX']

survey_analysis.b_err_coltypes = ['f4', 'f4', 'f4', 'f4']

survey_analysis.b_err_types

survey_analysis.stats_colnames = ['FLD_NAME', 'SBID', 'MED_RMS_uJy', 'MODE_RMS_uJy', 'STD_RMS_uJy', 'MIN_RMS_uJy', 'MAX_RMS_uJy']

survey_analysis.stats_coltypes = ['S20', 'i4', 'f4', 'f4', 'f4', 'f4', 'f4']

survey_analysis.stats_types

survey_analysis.explanation

survey_analysis.arg_init()

survey_analysis.do_noise_statistics(in_files, survey, replace=False, fcor_stats=True, method='rms')

survey_analysis.filter(hsib, flux_peak)

survey_analysis.get_filtered_sources(beam_table)

survey_analysis.do_bright_src_errs(in_file, survey)

survey_analysis.write_b_err(db, fld, sb, data)

survey_analysis.write_stats(db, in_table)

survey_analysis.set_warn_filters()

survey_analysis.main()