zoomslice = None
if opt.zoom is not None:
(x0,x1,y0,y1) = opt.zoom
zoomslice = (slice(y0,y1), slice(x0,x1))
ps = None
if opt.plots is not None:
from astrometry.util.plotutils import PlotSequence
ps = PlotSequence(opt.plots)
T = exposure_metadata([filename], hdus=[hdu])
print 'Metadata:'
T.about()
decals = Decals()
im = DecamImage(decals, T[0])
tim = im.get_tractor_image(slc=zoomslice, const2psf=True)
print 'Got tim:', tim
if catfn == 'DR1':
margin = 20
TT = []
chipwcs = tim.subwcs
bricks = bricks_touching_wcs(chipwcs, decals=decals)
for b in bricks:
# there is some overlap with this brick... read the catalog.
fn = os.path.join(opt.catalog_path, 'tractor', b.brickname[:3],
'tractor-%s.fits' % b.brickname)
if not os.path.exists(fn):
print 'WARNING: catalog', fn, 'does not exist. Skipping!'
from common import run_calibs, DecamImage, Decals
if __name__ == '__main__':
import optparse
parser = optparse.OptionParser()
parser.add_option('--force', action='store_true', default=False,
help='Run calib processes even if files already exist?')
parser.add_option('--ccds', help='Set ccds.fits file to load')
parser.add_option('--expnum', type=int, help='Cut to a single exposure')
parser.add_option('--extname', '--ccdname', help='Cut to a single extension/CCD name')
opt,args = parser.parse_args()
D = Decals()
if opt.ccds is not None:
T = fits_table(opt.ccds)
print 'Read', len(T), 'from', opt.ccds
else:
T = D.get_ccds()
print len(T), 'CCDs'
print len(T), 'CCDs'
if len(args) == 0:
if opt.expnum is not None:
T.cut(T.expnum == opt.expnum)
print 'Cut to', len(T), 'with expnum =', opt.expnum
if opt.extname is not None:
T.cut(np.array([(t.strip() == opt.extname) for t in T.ccdname]))
print 'Cut to', len(T), 'with extname =', opt.extname
parser.add_option('--ccds', help='Set ccds.fits file to load')
parser.add_option('--delete-sky',
default=False,
action='store_true',
help='Delete any existing sky calibration files')
parser.add_option('--delete-pvastrom',
default=False,
action='store_true',
help='Delete any existing PV WCS calibration files')
parser.add_option('--write-ccds', help='Write CCDs list as FITS table?')
opt, args = parser.parse_args()
decals = Decals()
if opt.bricks is not None:
B = fits_table(opt.bricks)
log('Read', len(B), 'from', opt.bricks)
else:
B = decals.get_bricks()
if opt.ccds is not None:
T = fits_table(opt.ccds)
log('Read', len(T), 'from', opt.ccds)
else:
T = decals.get_ccds()
log(len(T), 'CCDs')
T.index = np.arange(len(T))
# I,J,d,counts = match_radec(B.ra, B.dec, T.ra, T.dec, 0.2, nearest=True, count=True)
import optparse
parser = optparse.OptionParser()
parser.add_option('--force',
action='store_true',
default=False,
help='Run calib processes even if files already exist?')
parser.add_option('--ccds', help='Set ccds.fits file to load')
parser.add_option('--expnum', type=int, help='Cut to a single exposure')
parser.add_option('--extname',
'--ccdname',
help='Cut to a single extension/CCD name')
opt, args = parser.parse_args()
D = Decals()
if opt.ccds is not None:
T = fits_table(opt.ccds)
print 'Read', len(T), 'from', opt.ccds
else:
T = D.get_ccds()
print len(T), 'CCDs'
print len(T), 'CCDs'
if len(args) == 0:
if opt.expnum is not None:
T.cut(T.expnum == opt.expnum)
print 'Cut to', len(T), 'with expnum =', opt.expnum
if opt.extname is not None:
T.cut(np.array([(t.strip() == opt.extname) for t in T.ccdname]))
print 'Cut to', len(T), 'with extname =', opt.extname
def main():
decals = Decals()
catpattern = 'pipebrick-cats/tractor-phot-b%06i.fits'
ra, dec = 242, 7
# Region-of-interest, in pixels: x0, x1, y0, y1
#roi = None
roi = [500, 1000, 500, 1000]
if roi is not None:
x0, x1, y0, y1 = roi
#expnum = 346623
#ccdname = 'N12'
#chips = decals.find_ccds(expnum=expnum, extname=ccdname)
#print 'Found', len(chips), 'chips for expnum', expnum, 'extname', ccdname
#if len(chips) != 1:
#return False
chips = decals.get_ccds()
D = np.argsort(np.hypot(chips.ra - ra, chips.dec - dec))
print('Closest chip:', chips[D[0]])
chips = [chips[D[0]]]
im = DecamImage(decals, chips[0])
print('Image:', im)
targetwcs = Sip(im.wcsfn)
if roi is not None:
targetwcs = targetwcs.get_subimage(x0, y0, x1 - x0, y1 - y0)
r0, r1, d0, d1 = targetwcs.radec_bounds()
# ~ 30-pixel margin
margin = 2e-3
if r0 > r1:
# RA wrap-around
TT = [
brick_catalog_for_radec_box(ra, rb, d0 - margin, d1 + margin,
decals, catpattern)
for (ra, rb) in [(0, r1 + margin), (r0 - margin, 360.)]
]
T = merge_tables(TT)
T._header = TT[0]._header
else:
T = brick_catalog_for_radec_box(r0 - margin, r1 + margin, d0 - margin,
d1 + margin, decals, catpattern)
print('Got', len(T), 'catalog entries within range')
cat = read_fits_catalog(T, T._header)
print('Got', len(cat), 'catalog objects')
print('Switching ellipse parameterizations')
switch_to_soft_ellipses(cat)
keepcat = []
for src in cat:
if not np.all(np.isfinite(src.getParams())):
print('Src has infinite params:', src)
continue
if isinstance(src, FixedCompositeGalaxy):
f = src.fracDev.getClippedValue()
if f == 0.:
src = ExpGalaxy(src.pos, src.brightness, src.shapeExp)
elif f == 1.:
src = DevGalaxy(src.pos, src.brightness, src.shapeDev)
keepcat.append(src)
cat = keepcat
slc = None
if roi is not None:
slc = slice(y0, y1), slice(x0, x1)
tim = im.get_tractor_image(slc=slc)
print('Got', tim)
tim.psfex.fitSavedData(*tim.psfex.splinedata)
tim.psfex.radius = 20
tim.psf = CachingPsfEx.fromPsfEx(tim.psfex)
tractor = Tractor([tim], cat)
print('Created', tractor)
mod = tractor.getModelImage(0)
plt.clf()
dimshow(tim.getImage(), **tim.ima)
plt.title('Image')
plt.savefig('1.png')
plt.clf()
dimshow(mod, **tim.ima)
plt.title('Model')
plt.savefig('2.png')
ok, x, y = targetwcs.radec2pixelxy([src.getPosition().ra for src in cat],
[src.getPosition().dec for src in cat])
ax = plt.axis()
plt.plot(x, y, 'rx')
#plt.savefig('3.png')
plt.axis(ax)
plt.title('Sources')
plt.savefig('3.png')
bands = [im.band]
import runbrick
runbrick.photoobjdir = '.'
scat, T = get_sdss_sources(bands, targetwcs, local=False)
print('Got', len(scat), 'SDSS sources in bounds')
stractor = Tractor([tim], scat)
print('Created', stractor)
smod = stractor.getModelImage(0)
plt.clf()
dimshow(smod, **tim.ima)
plt.title('SDSS model')
plt.savefig('4.png')
parser.add_option('--region', help='Region to select')
parser.add_option('--bricks', help='Set bricks.fits file to load')
parser.add_option('--ccds', help='Set ccds.fits file to load')
parser.add_option('--delete-sky', default=False, action='store_true',
help='Delete any existing sky calibration files')
parser.add_option('--delete-pvastrom', default=False, action='store_true',
help='Delete any existing PV WCS calibration files')
parser.add_option('--write-ccds', help='Write CCDs list as FITS table?')
opt,args = parser.parse_args()
decals = Decals()
if opt.bricks is not None:
B = fits_table(opt.bricks)
log('Read', len(B), 'from', opt.bricks)
else:
B = decals.get_bricks()
if opt.ccds is not None:
T = fits_table(opt.ccds)
log('Read', len(T), 'from', opt.ccds)
else:
T = decals.get_ccds()
log(len(T), 'CCDs')
T.index = np.arange(len(T))
# I,J,d,counts = match_radec(B.ra, B.dec, T.ra, T.dec, 0.2, nearest=True, count=True)
def main():
decals = Decals()
catpattern = 'pipebrick-cats/tractor-phot-b%06i.fits'
ra,dec = 242, 7
# Region-of-interest, in pixels: x0, x1, y0, y1
#roi = None
roi = [500, 1000, 500, 1000]
if roi is not None:
x0,x1,y0,y1 = roi
#expnum = 346623
#ccdname = 'N12'
#chips = decals.find_ccds(expnum=expnum, extname=ccdname)
#print 'Found', len(chips), 'chips for expnum', expnum, 'extname', ccdname
#if len(chips) != 1:
#return False
chips = decals.get_ccds()
D = np.argsort(np.hypot(chips.ra - ra, chips.dec - dec))
print('Closest chip:', chips[D[0]])
chips = [chips[D[0]]]
im = DecamImage(decals, chips[0])
print('Image:', im)
targetwcs = Sip(im.wcsfn)
if roi is not None:
targetwcs = targetwcs.get_subimage(x0, y0, x1-x0, y1-y0)
r0,r1,d0,d1 = targetwcs.radec_bounds()
# ~ 30-pixel margin
margin = 2e-3
if r0 > r1:
# RA wrap-around
TT = [brick_catalog_for_radec_box(ra,rb, d0-margin,d1+margin,
decals, catpattern)
for (ra,rb) in [(0, r1+margin), (r0-margin, 360.)]]
T = merge_tables(TT)
T._header = TT[0]._header
else:
T = brick_catalog_for_radec_box(r0-margin,r1+margin,d0-margin,
d1+margin, decals, catpattern)
print('Got', len(T), 'catalog entries within range')
cat = read_fits_catalog(T, T._header)
print('Got', len(cat), 'catalog objects')
print('Switching ellipse parameterizations')
switch_to_soft_ellipses(cat)
keepcat = []
for src in cat:
if not np.all(np.isfinite(src.getParams())):
print('Src has infinite params:', src)
continue
if isinstance(src, FixedCompositeGalaxy):
f = src.fracDev.getClippedValue()
if f == 0.:
src = ExpGalaxy(src.pos, src.brightness, src.shapeExp)
elif f == 1.:
src = DevGalaxy(src.pos, src.brightness, src.shapeDev)
keepcat.append(src)
cat = keepcat
slc = None
if roi is not None:
slc = slice(y0,y1), slice(x0,x1)
tim = im.get_tractor_image(slc=slc)
print('Got', tim)
tim.psfex.fitSavedData(*tim.psfex.splinedata)
tim.psfex.radius = 20
tim.psf = CachingPsfEx.fromPsfEx(tim.psfex)
tractor = Tractor([tim], cat)
print('Created', tractor)
mod = tractor.getModelImage(0)
plt.clf()
dimshow(tim.getImage(), **tim.ima)
plt.title('Image')
plt.savefig('1.png')
plt.clf()
dimshow(mod, **tim.ima)
plt.title('Model')
plt.savefig('2.png')
ok,x,y = targetwcs.radec2pixelxy([src.getPosition().ra for src in cat],
[src.getPosition().dec for src in cat])
ax = plt.axis()
plt.plot(x, y, 'rx')
#plt.savefig('3.png')
plt.axis(ax)
plt.title('Sources')
plt.savefig('3.png')
bands = [im.band]
import runbrick
runbrick.photoobjdir = '.'
scat,T = get_sdss_sources(bands, targetwcs, local=False)
print('Got', len(scat), 'SDSS sources in bounds')
stractor = Tractor([tim], scat)
print('Created', stractor)
smod = stractor.getModelImage(0)
plt.clf()
dimshow(smod, **tim.ima)
plt.title('SDSS model')
plt.savefig('4.png')
