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author | Aaron LI <aly@aaronly.me> | 2017-12-05 14:37:17 +0800 |
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committer | Aaron LI <aly@aaronly.me> | 2017-12-05 14:37:17 +0800 |
commit | 9d04761972a5522ec76f539fe114e1a7ad2340cb (patch) | |
tree | c8415b40236bbff841b1760fa06cca264946be5e /astro/fits/fitscube.py | |
parent | 2839ab8caa0b6c07918dd8284ed6703ca663179b (diff) | |
download | atoolbox-9d04761972a5522ec76f539fe114e1a7ad2340cb.tar.bz2 |
astro/fitscube.py: Implement "corrupt" sub-command
Diffstat (limited to 'astro/fits/fitscube.py')
-rwxr-xr-x | astro/fits/fitscube.py | 67 |
1 files changed, 67 insertions, 0 deletions
diff --git a/astro/fits/fitscube.py b/astro/fits/fitscube.py index a6ecb1d..2e1bddf 100755 --- a/astro/fits/fitscube.py +++ b/astro/fits/fitscube.py @@ -339,6 +339,51 @@ def cmd_calibrate(args): print("Saved calibration information to file: %s" % infofile) +def cmd_corrupt(args): + """ + Sub-command: "corrupt", corrupt z-axis slice/channel responses by + applying random gain coefficients. + """ + if not args.clobber and os.path.exists(args.outfile): + raise OSError("output file already exists: %s" % args.outfile) + + cube = FITSCube(args.infile) + zvalues = cube.zvalues + print("Data cube unit: %s" % cube.unit) + print("Image/slice size: %dx%d" % (cube.width, cube.height)) + print("Number of slices: %d" % cube.nslice) + + print("Gaussian sigma: %.1f%%" % args.gaus_sigma) + sigma = args.gaus_sigma * 0.01 + gains = np.random.normal(loc=0.0, scale=sigma, size=cube.nslice) + idx_outliers = np.abs(gains) > 3*sigma + gains[idx_outliers] = np.sign(gains[idx_outliers]) * (3*sigma) + gains += 1.0 + print("Applying slice/channel corruptions ...") + cube.apply_gain(gains) + print("Saving corrupted FITS cube ...") + cube.write(args.outfile, clobber=args.clobber) + print("Corrupted FITS cube wrote to: %s" % args.outfile) + + print("Slice <z> <gain.corruption>") + for z, g in zip(zvalues, gains): + print("* %12.4e: %.6f" % (z, g)) + if args.save_info: + data = np.column_stack([zvalues, gains]) + header = [ + "Arguments:", + "+ gaus_sigma: %.1f%%" % args.gaus_sigma, + "", + "Columns:", + "1. z/frequency: z-axis position / frequency [%s]" % cube.zunit, + "2. gain_corruption: corruption coefficient", + "", + ] + infofile = os.path.splitext(args.outfile)[0] + ".txt" + np.savetxt(infofile, data, header="\n".join(header)) + print("Saved corruption information to file: %s" % infofile) + + def main(): parser = argparse.ArgumentParser( description="Create FITS cube from a series of image slices.") @@ -418,6 +463,28 @@ def main(): help="save the calibration information of echo " + "channel/slice to a text file") parser_cal.set_defaults(func=cmd_calibrate) + # sub-command: "corrupt" + parser_crp = subparsers.add_parser( + "corrupt", + help="corrupt z-axis slice/channel responses by applying " + + "random gain coefficients") + parser_crp.add_argument("-C", "--clobber", dest="clobber", + action="store_true", + help="overwrite existing output file") + parser_crp.add_argument("-g", "--gaus-sigma", dest="gaus_sigma", + type=float, required=True, + help="Gaussian sigma in percent from which " + + "random gain coefficients are sampled; " + + "specified in percent (e.g., 1 for 1%%)") + parser_crp.add_argument("-i", "--infile", dest="infile", required=True, + help="input FITS cube filename") + parser_crp.add_argument("-o", "--outfile", dest="outfile", required=True, + help="output corrupted FITS cube") + parser_cal.add_argument("--save-info", dest="save_info", + action="store_true", + help="save the calibration information of echo " + + "channel/slice to a text file") + parser_crp.set_defaults(func=cmd_corrupt) # args = parser.parse_args() args.func(args) |