diff options
Diffstat (limited to 'astro')
| -rwxr-xr-x | astro/oskar/jybeam2k.py | 54 |
1 files changed, 45 insertions, 9 deletions
diff --git a/astro/oskar/jybeam2k.py b/astro/oskar/jybeam2k.py index 0f774c1..6413069 100755 --- a/astro/oskar/jybeam2k.py +++ b/astro/oskar/jybeam2k.py @@ -42,16 +42,49 @@ def open_image(infile): return (header, data) +def calc_beam_size(header): + """ + Calculate the beam/PSF size using the 'WSCNORMF' keyword recorded by + the WSClean imager, which applies to the natural-weighted image, and + is more accurate than the fitted beam (stored as 'BMAJ' and 'BMIN'.) + """ + try: + weight = header["WSCWEIGH"] + normf = header["WSCNORMF"] + print("WSCWEIGH: %s" % weight) + print("WSCNORMF: %.1f" % normf) + except KeyError: + raise RuntimeError("NO necessary WSC* keyword; switch to " + + "--use-fitted-beam instead") + if weight.upper() != "NATURAL": + print("WARNING: weighting scheme is '%s' != natural!" % weight) + width = header["NAXIS1"] + height = header["NAXIS2"] + pixelsize = np.abs(header["CDELT1"]) * 3600 # [arcsec] + print("Image: %dx%d, %.1f [arcsec/pixel]" % (width, height, pixelsize)) + beam_size = (width*height * pixelsize**2) / normf + return beam_size + + def main(): parser = argparse.ArgumentParser( - description="Convert image unit from [Jy/beam] to [K]") + description="Convert WSClean created image from [Jy/beam] to [K]", + epilog=("By default the 'WSCNORMF' keyword is taken to derive " + + "the beam/PSF size for natural-weighted image created " + + "by WSClean, which is more accurate than the fitted " + + "beam stored as 'BMAJ' and 'BMIN'.")) parser.add_argument("-C", "--clobber", dest="clobber", action="store_true", help="overwrite existing output file") - parser.add_argument("-b", "--beam", dest="beam", type=float, + parser.add_argument("-B", "--use-fitted-beam", dest="use_fitted_beam", + action="store_true", + help="use the fitted beam (i.e., BMAJ and BMIN) " + + "or the beam size specified by --beam-size.") + parser.add_argument("-b", "--beam-size", dest="beam_size", type=float, help="instrumental beam size [arcsec^2] " + "(=pi*bmajor*bminor/4/ln(2)) (default: obtain " + - "from the header BMAJ and BMIN keywords)") + "from the header BMAJ and BMIN keywords); this " + + "argument also implies --use-fitted-beam") parser.add_argument("-f", "--frequency", dest="frequency", help="frequency [MHz] of the input image (NOTE: " + "required if failed to obtain from the header)") @@ -85,16 +118,19 @@ def main(): print("Frequency: %.2f [MHz]" % freq) # Elliptical Gaussian beam (full width at half power; FWHP) - if args.beam: - beam = args.beam - else: + if args.beam_size: + beam_size = args.beam_size + elif args.use_fitted_beam: bmajor = header["BMAJ"] * 3600 # [arcsec] bminor = header["BMIN"] * 3600 # [arcsec] - beam = np.pi * bmajor*bminor / (4*np.log(2)) # [arcsec^2] + beam_size = np.pi * bmajor*bminor / (4*np.log(2)) # [arcsec^2] print("Beam: (%.2f, %.2f) [arcsec]" % (bmajor, bminor)) - print("Beam size: %.2f [arcsec^2]" % beam) + else: + # Derive beam size using 'WSCNORMF' keyword + beam_size = calc_beam_size(header) + print("Beam size: %.2f [arcsec^2]" % beam_size) - equiv = au.brightness_temperature(beam*au.arcsec**2, freq*au.MHz) + equiv = au.brightness_temperature(beam_size*au.arcsec**2, freq*au.MHz) jybeam2k = au.Unit(unit).to(au.K, equivalencies=equiv) print("Conversion factor [%s/beam] -> [K]: %g" % (unit, jybeam2k)) |