def simpleapphot(fileName, pos, r, rI, rO, frame='image'):
'''Performs simple circular aperture photometry with local bg subtraction
'''
# Check Type of pos first
if not isinstance(pos, np.ndarray): pos = np.array(pos)
if pos.ndim == 1:
pos = pos.reshape((-1, 2))
# Create Aperture
frame = frame.lower()
if frame == 'image':
# Create the Aperatures
cirAps = CircularAperture(pos, r)
annAps = CircularAnnulus(pos, rI, rO)
elif frame == 'fk5':
# Create Sky Apertures
pos = SkyCoord(frame=frame,
ra=pos[:, 0] * u.deg,
dec=pos[:, 1] * u.deg)
cirAps = SkyCircularAperture(pos, r * u.arcsec)
annAps = SkyCircularAnnulus(pos, rI * u.arcsec, rO * u.arcsec)
else:
raise ValueError('Unsupported coordinate system.')
# Load in the files and do photometry
hdu = fits.open(fileName)
cirPhotTab = aperture_photometry(hdu, cirAps)
annPhotTab = aperture_photometry(hdu, annAps)
if frame == 'fk5':
cirAps = cirAps.to_pixel(WCS(header=hdu['SCI'].header))
annAps = annAps.to_pixel(WCS(header=hdu['SCI'].header))
hdu.close()
# Get Photometry as ndarray
phot = cirPhotTab['aperture_sum'].data - \
(cirAps.area()/annAps.area())*annPhotTab['aperture_sum'].data
return phot
def qphot(data,
coord,
rad,
skyradin,
skyradout,
wcs=None,
calfctr=None,
skycoord=None,
unit='Jy',
error=None,
filter=None):
if is_pix_coord(coord):
coord = [np.float(coord[0]), np.float(coord[1])]
aperture = CircularAperture(coord, r=rad)
else:
coord = SkyCoord(' '.join(coord),
unit=(u.hourangle, u.deg),
frame='icrs')
aperture = SkyCircularAperture(coord, r=rad * u.arcsec)
if skycoord:
if is_pix_coord(skycoord):
scoord = [np.float(skycoord[0]), np.float(skycoord[1])]
annulus = CircularAnnulus(scoord, skyradin, skyradout)
else:
scoord = SkyCoord(' '.join(skycoord),
unit=(u.hourangle, u.deg),
frame='icrs')
annulus = SkyCircularAnnulus(scoord, skyradin * u.arcsec,
skyradout * u.arcsec)
else:
if isinstance(coord, SkyCoord):
annulus = SkyCircularAnnulus(coord, skyradin * u.arcsec,
skyradout * u.arcsec)
else:
annulus = CircularAnnulus(coord, skyradin, skyradout)
#mask out nans or negative
mask = np.logical_or(np.isnan(data), data < 0.)
apflux = aperture_photometry(data,
aperture,
wcs=wcs,
error=error,
mask=mask)
skyflux = aperture_photometry(data,
annulus,
wcs=wcs,
error=error,
mask=mask)
phot_table = hstack([apflux, skyflux], table_names=['src', 'sky'])
#calculate mean local background in annulus
if isinstance(annulus, SkyCircularAnnulus):
sky_area = annulus.to_pixel(wcs).area()
else:
sky_area = annulus.area()
if isinstance(aperture, SkyCircularAperture):
src_area = aperture.to_pixel(wcs).area()
else:
src_area = aperture.area()
sky_mean = phot_table['aperture_sum_sky'] / sky_area
sky_sum = sky_mean * src_area
final_sum = phot_table['aperture_sum_src'] - sky_sum
phot_table['residual_aperture_sum'] = final_sum
phot_table['residual_aperture_sum'].unit = unit
phot_table['aperture_area_sky'] = sky_area
phot_table['aperture_area_src'] = src_area
phot_table['aperture_mean_sky'] = sky_mean
phot_table['aperture_mean_sky'].unit = unit
phot_table['aperture_rad_src'] = rad
phot_table['aperture_irad_sky'] = skyradin
phot_table['aperture_orad_sky'] = skyradout
phot_table['aperture_area_sky'].unit = u.pix**2
phot_table['aperture_area_src'].unit = u.pix**2
if error is not None:
src_err = phot_table['aperture_sum_err_src']
sky_err = phot_table['aperture_sum_err_sky']
src_var = src_err / phot_table['residual_aperture_sum']
sky_var = sky_err / sky_sum
color_err = 0. # 10 percent photoerr
color_var = color_err * phot_table['residual_aperture_sum']
phot_table['residual_aperture_err'] = np.sqrt(src_var**2 + sky_var**2 +
color_var**2)
else:
color_err = 0.07 # 7 percent photoerr
color_var = color_err * sky_sum
phot_table.add_column(
Column([color_var for x in phot_table],
name='residual_aperture_err'))
phot_table.remove_columns(
['xcenter_src', 'ycenter_src', 'xcenter_sky', 'ycenter_sky'])
if 'center_input' in phot_table.colnames:
phot_table.remove_columns('center_input')
if 'center_input_src' in phot_table.colnames:
phot_table.remove_columns('center_input_src')
if 'center_input_sky' in phot_table.colnames:
phot_table.remove_columns('center_input_sky')
if isinstance(coord, SkyCoord):
phot_table['xcen'], phot_table['ycen'] = wcs2pix(coord, wcs)
phot_table['ra'], phot_table['dec'] = coord.to_string('hmsdms',
sep=':').split()
else:
phot_table['xcen'] = coord[0]
phot_table['ycen'] = coord[1]
if skycoord:
if isinstance(scoord, SkyCoord):
phot_table['xcensky'], phot_table['ycensky'] = wcs2pix(scoord, wcs)
phot_table['rasky'], phot_table['decsky'] = scoord.to_string(
'hmsdms', sep=':').split()
else:
phot_table['xcensky'] = scoord[0]
phot_table['ycensky'] = scoord[1]
if wcs:
if 'ra' not in phot_table.colnames:
ra, dec = pix2wcs(coord, wcs)
phot_table['ra'] = ra
phot_table['dec'] = dec
if skycoord:
if 'rasky' not in phot_table.colnames:
skyra, skydec = pix2wcs(scoord, wcs)
phot_table['rasky'] = skyra
phot_table['decsky'] = skydec
if calfctr:
flux = phot_table['residual_aperture_sum'] / calfctr
phot_table.add_column(Column(flux, name='ap_flux', unit=unit))
#if error is not None:
fluxerr = phot_table['residual_aperture_err'] / calfctr
phot_table.add_column(Column(fluxerr, name='ap_err', unit=unit))
if filter:
phot_table['filter'] = str(filter)
return phot_table
