def has_data(fitsfile, ra0, dec0):
"Check whether there is any non-zero data in fitsfile at the source position (ra0, dec0)"
fitspath = misc_utils.expand_fits_path(fitsfile)
if cmd_args.debug: print("\nReading from", fitspath)
hdu = fits_utils.get_image_hdu(fits.open(fitspath), debug=cmd_args.debug)
if cmd_args.debug: print("Image size", hdu.data.shape)
w = wcs.WCS(hdu.header)
x, y = w.wcs_world2pix(ra0, dec0, 0)
if cmd_args.debug: print("Coords", ra0, dec0, "->", x, y)
i1 = int(x)
j1 = int(y)
pixel_data = hdu.data[j1:j1+2, i1:i1+2].mean()
if cmd_args.debug: print("{}[{}:{},{}:{}] = {}".format(
fitsfile, j1, j1+2, i1, i1+2, pixel_data))
return pixel_data > 0.0
dbfile = cmd_args.source + "-arcdata.json"
arcdata = json.load(open(dbfile))
for image_name in arcdata:
if not "extracted FITS file" in arcdata[image_name]:
# Jump over sections that are not images
continue
print("**************************************************")
print("Calculating shell brightness for", image_name)
print("**************************************************")
fitsfile = arcdata[image_name]["extracted FITS file"]
hdulist = fits.open(fitsfile)
hdu = fits_utils.get_image_hdu(hdulist, debug=cmd_args.debug)
w = wcs.WCS(hdu.header)
# Pixel coordinate arrays
x, y = np.meshgrid(np.arange(hdu.data.shape[1]), np.arange(hdu.data.shape[0]))
# Sky coordinate arrays
ra, dec = w.wcs_pix2world(x, y, 0)
# Find coordinates of the central star
ra0 = coord.Longitude(arcdata["star"]["RA"], unit=u.hour)
dec0 = coord.Latitude(arcdata["star"]["Dec"], unit=u.deg)
# Calculate sky coordinate offset arrays in arcsec with respect to star.
# (Note that this will not work near the poles, or over a field that
# spans a large angle of sky, but that does not bother us.)
X = np.cos(np.radians(dec))*(ra*u.deg - ra0).to(u.arcsec)
Y = (dec*u.deg - dec0).to(u.arcsec)
# Radial separation, R, and position angle of separation, PA.
dbfile = cmd_args.source + "-arcdata.json"
arcdata = json.load(open(dbfile))
image_name = cmd_args.image
if not image_name in arcdata:
raise ValueError(image_name + " not found - try running extract-image.py first")
if not "shell" in arcdata[image_name]:
raise ValueError("Shell data not found - try running arc_brightness.py first")
fitsfile = arcdata[image_name]["extracted FITS file"]
hdulist = fits.open(fitsfile)
hdu = get_image_hdu(hdulist, debug=cmd_args.debug)
# Find coordinates of the central star and radius of curvature
# We want all the values in degrees for use with aplpy
ra0 = coord.Longitude(arcdata["star"]["RA"], unit=u.hour).to(u.deg) / u.deg
dec0 = coord.Latitude(arcdata["star"]["Dec"], unit=u.deg) / u.deg
ra0, dec0 = float(ra0), float(dec0)
print(ra0, dec0)
if "outer" in arcdata:
Rc = arcdata["outer"]["Rc"] * u.arcsec / u.deg
else:
Rc = 1.5*arcdata["inner"]["Rc"] * u.arcsec / u.deg
print(Rc)
assert not "/" in cmd_args.fitsfile, \
"Please do not give path to FITS file - it will be found automatically"
image_name = misc_utils.short_image_name(cmd_args.fitsfile)
fits_path = os.path.join(
misc_utils.image_set_fits_dir (image_name),
cmd_args.fitsfile
)
if cmd_args.debug:
print("Short image name:", image_name)
print("Full path:", fits_path)
hdu = fits_utils.get_image_hdu(fits.open(fits_path), debug=cmd_args.debug)
##
## Correct the coordinates if necessary - look to see if a shift file
## is present. This is done first, so that the enclosing box will
## also be shifted.
##
shiftfile = "-".join([cmd_args.source, image_name, "shifts.json"])
try:
with open(shiftfile) as f:
shift = json.load(f)
if cmd_args.debug:
print("Coordinate adjustments:", shift)
hdu.header["CRVAL1"] += shift['dRA']/3600
hdu.header["CRVAL2"] += shift['dDEC']/3600