def main():
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--plots', action='store_true')
parser.add_argument('--brick', help='Brick name to run')
parser.add_argument(
'--input-dir',
default='/global/projecta/projectdirs/cosmo/work/legacysurvey/dr7')
#/global/cscratch1/sd/desiproc/dr7out')
parser.add_argument('--survey-dir',
default='/global/cscratch1/sd/dstn/dr7-depthcut')
parser.add_argument('--output-dir',
default='/global/cscratch1/sd/dstn/bright')
opt = parser.parse_args()
plots = opt.plots
ps = PlotSequence('bright')
brickname = opt.brick
insurvey = LegacySurveyData(opt.input_dir, cache_dir=opt.survey_dir)
outsurvey = LegacySurveyData(opt.output_dir, output_dir=opt.output_dir)
bfn = insurvey.find_file('blobmap', brick=brickname)
print('Found blob map', bfn)
blobs = fitsio.read(bfn)
h, w = blobs.shape
brick = insurvey.get_brick_by_name(brickname)
brickwcs = wcs_for_brick(brick)
radius = np.sqrt(2.) * 0.25 * 1.01
neighbors = insurvey.get_bricks_near(brick.ra, brick.dec, radius)
print(len(neighbors), 'bricks nearby')
def showbool(X):
d = downsample_max(X, 8)
h, w = X.shape
plt.imshow(d,
interpolation='nearest',
origin='lower',
vmin=0,
vmax=1,
extent=[0, w, 0, h],
cmap='gray')
brightblobs = set()
for nb in neighbors:
if nb.brickname == brickname:
# ignore myself!
continue
print('Neighbor:', nb.brickname)
mfn = insurvey.find_file('maskbits', brick=nb.brickname)
if not os.path.exists(mfn):
print('No maskbits file:', mfn)
continue
maskbits = fitsio.read(mfn)
bright = ((maskbits & MASKBITS['BRIGHT']) > 0)
print(np.sum(bright > 0), 'BRIGHT pixels set')
primary = (maskbits & MASKBITS['NPRIMARY'] == 0)
print(np.sum(primary), 'PRIMARY pixels set')
edge = binary_dilation(primary, structure=np.ones((3, 3), bool))
edge = edge * np.logical_not(primary)
brightedge = edge & bright
if plots:
plt.clf()
showbool(bright)
plt.title('bright: brick %s' % nb.brickname)
ps.savefig()
# plt.clf()
# showbool(primary)
# plt.title('PRIMARY, brick %s' % nb.brickname)
# ps.savefig()
#
# plt.clf()
# showbool(edge)
# plt.title('boundary, brick %s' % nb.brickname)
# ps.savefig()
plt.clf()
showbool(brightedge)
plt.title('bright at edge, brick %s' % nb.brickname)
ps.savefig()
nwcs = wcs_for_brick(nb)
yy, xx = np.nonzero(brightedge)
print(len(yy), 'bright edge pixels')
if len(yy) == 0:
continue
rr, dd = nwcs.pixelxy2radec(xx + 1, yy + 1)
print('RA range', rr.min(), rr.max(), 'vs brick', brick.ra1, brick.ra2)
print('Dec range', dd.min(), dd.max(), 'vs brick', brick.dec1,
brick.dec2)
# Find pixels that are within this brick's unique area
I, = np.nonzero((rr >= brick.ra1) * (rr <= brick.ra2) *
(dd >= brick.dec1) * (dd <= brick.dec2))
if plots:
plt.clf()
plt.plot(
[brick.ra1, brick.ra1, brick.ra2, brick.ra2, brick.ra1],
[brick.dec1, brick.dec2, brick.dec2, brick.dec1, brick.dec1],
'b-')
plt.plot(rr, dd, 'k.')
plt.plot(rr[I], dd[I], 'r.')
plt.title('Bright pixels from %s' % nb.brickname)
ps.savefig()
if len(I) == 0:
print('No edge pixels touch')
#plt.plot(br,bd, 'b-')
continue
#print('Edge pixels touch!')
#plt.plot(br,bd, 'r-', zorder=20)
ok, x, y = brickwcs.radec2pixelxy(rr[I], dd[I])
x = np.round(x).astype(int) - 1
y = np.round(y).astype(int) - 1
print('Pixel ranges X', x.min(), x.max(), 'Y', y.min(), y.max())
assert (np.all((x >= 0) * (x < w) * (y >= 0) * (y < h)))
print('Adding blobs:', np.unique(blobs[y, x]))
brightblobs.update(blobs[y, x])
print('Blobs touching bright pixels:', brightblobs)
print()
brightblobs.discard(-1)
if len(brightblobs) == 0:
print('No neighboring bright blobs to update!')
return
print('Updating', len(brightblobs), 'blobs:', brightblobs)
tmap = np.zeros(blobs.max() + 2, bool)
for b in brightblobs:
tmap[b + 1] = True
touching = tmap[blobs + 1]
if plots:
plt.clf()
showbool(touching)
plt.title('Blobs touching bright, brick %s' % brickname)
ps.savefig()
mfn = insurvey.find_file('maskbits', brick=brickname)
maskbits, hdr = fitsio.read(mfn, header=True)
updated = maskbits | (MASKBITS['BRIGHT'] * touching)
if np.all(maskbits == updated):
print('No bits updated! (Bright stars were already masked)')
return
maskbits = updated
if plots:
plt.clf()
showbool((maskbits & MASKBITS['BRIGHT']) > 0)
plt.title('New maskbits map for BRIGHT, brick %s' % brickname)
ps.savefig()
with outsurvey.write_output('maskbits', brick=brickname) as out:
out.fits.write(maskbits, hdr=hdr)
tfn = insurvey.find_file('tractor', brick=brickname)
phdr = fitsio.read_header(tfn, ext=0)
hdr = fitsio.read_header(tfn, ext=1)
T = fits_table(tfn)
print('Read', len(T), 'sources')
print('Bright:', Counter(T.brightstarinblob))
iby = np.clip(np.round(T.by), 0, h - 1).astype(int)
ibx = np.clip(np.round(T.bx), 0, w - 1).astype(int)
if plots:
before = np.flatnonzero(T.brightstarinblob)
T.brightstarinblob |= touching[iby, ibx]
print('Bright:', Counter(T.brightstarinblob))
# yuck -- copy the TUNIT headers from input to output.
units = [
hdr.get('TUNIT%i' % (i + 1), '') for i in range(len(T.get_columns()))
]
if plots:
plt.clf()
showbool((maskbits & MASKBITS['BRIGHT']) > 0)
ax = plt.axis()
after = np.flatnonzero(T.brightstarinblob)
plt.plot(T.bx[before], T.by[before], 'gx')
plt.plot(T.bx[after], T.by[after], 'r.')
plt.axis(ax)
plt.title('sources with brightstarinblob, brick %s' % brickname)
ps.savefig()
with outsurvey.write_output('tractor', brick=brickname) as out:
T.writeto(None,
fits_object=out.fits,
primheader=phdr,
header=hdr,
units=units)
def main(survey=None, opt=None, args=None):
'''Driver function for forced photometry of individual Legacy
Survey images.
'''
if args is None:
args = sys.argv[1:]
print('forced_photom.py', ' '.join(args))
if opt is None:
parser = get_parser()
opt = parser.parse_args(args)
import logging
if opt.verbose == 0:
lvl = logging.INFO
else:
lvl = logging.DEBUG
logging.basicConfig(level=lvl, format='%(message)s', stream=sys.stdout)
# tractor logging is *soooo* chatty
logging.getLogger('tractor.engine').setLevel(lvl + 10)
t0 = Time()
if survey is None:
survey = LegacySurveyData(survey_dir=opt.survey_dir,
cache_dir=opt.cache_dir,
output_dir=opt.out_dir)
if opt.skip:
if opt.out is not None:
outfn = opt.out
else:
outfn = survey.find_file('forced',
output=True,
camera=opt.camera,
expnum=opt.expnum)
if os.path.exists(outfn):
print('Ouput file exists:', outfn)
return 0
if opt.derivs and opt.agn:
print('Sorry, can\'t do --derivs AND --agn')
return -1
if opt.out is None and opt.out_dir is None:
print('Must supply either --out or --out-dir')
return -1
if opt.expnum is None and opt.out is None:
print('If no --expnum is given, must supply --out filename')
return -1
if not opt.forced:
opt.apphot = True
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)
# Cache CCDs files before the find_ccds call...
# Copy required files into the cache?
if opt.pre_cache:
def copy_files_to_cache(fns):
for fn in fns:
cachefn = fn.replace(survey.survey_dir, survey.cache_dir)
if not cachefn.startswith(survey.cache_dir):
print('Skipping', fn)
continue
outdir = os.path.dirname(cachefn)
trymakedirs(outdir)
print('Copy', fn)
print(' to', cachefn)
shutil.copyfile(fn, cachefn)
assert (survey.cache_dir is not None)
fnset = set()
fn = survey.find_file('bricks')
fnset.add(fn)
fns = survey.find_file('ccd-kds')
fnset.update(fns)
copy_files_to_cache(fnset)
# Read metadata from survey-ccds.fits table
ccds = survey.find_ccds(camera=opt.camera,
expnum=opt.expnum,
ccdname=opt.ccdname)
print(len(ccds), 'with camera', opt.camera, 'and expnum', opt.expnum,
'and ccdname', opt.ccdname)
# sort CCDs
ccds.cut(np.lexsort((ccds.ccdname, ccds.expnum, ccds.camera)))
# If there is only one catalog survey_dir, we pass it to get_catalog_in_wcs
# as the northern survey.
catsurvey_north = survey
catsurvey_south = None
if opt.catalog_dir_north is not None:
assert (opt.catalog_dir_south is not None)
assert (opt.catalog_resolve_dec_ngc is not None)
catsurvey_north = LegacySurveyData(survey_dir=opt.catalog_dir_north)
catsurvey_south = LegacySurveyData(survey_dir=opt.catalog_dir_south)
elif opt.catalog_dir is not None:
catsurvey_north = LegacySurveyData(survey_dir=opt.catalog_dir)
# Copy required CCD & calib files into the cache?
if opt.pre_cache:
assert (survey.cache_dir is not None)
fnset = set()
for ccd in ccds:
im = survey.get_image_object(ccd)
for key in im.get_cacheable_filename_variables():
fn = getattr(im, key)
if fn is None or not (os.path.exists(fn)):
continue
fnset.add(fn)
copy_files_to_cache(fnset)
args = []
for ccd in ccds:
args.append((survey, catsurvey_north, catsurvey_south,
opt.catalog_resolve_dec_ngc, ccd, opt, zoomslice, ps))
if opt.threads:
from astrometry.util.multiproc import multiproc
from astrometry.util.timingpool import TimingPool, TimingPoolMeas
pool = TimingPool(opt.threads)
poolmeas = TimingPoolMeas(pool, pickleTraffic=False)
Time.add_measurement(poolmeas)
mp = multiproc(None, pool=pool)
tm = Time()
FF = mp.map(bounce_one_ccd, args)
print('Multi-processing forced-phot:', Time() - tm)
del mp
Time.measurements.remove(poolmeas)
del poolmeas
pool.close()
pool.join()
del pool
else:
FF = map(bounce_one_ccd, args)
FF = [F for F in FF if F is not None]
if len(FF) == 0:
print('No photometry results to write.')
return 0
# Keep only the first header
_, version_hdr, _, _ = FF[0]
# unpack results
outlier_masks = [m for _, _, m, _ in FF]
outlier_hdrs = [h for _, _, _, h in FF]
FF = [F for F, _, _, _ in FF]
F = merge_tables(FF)
if len(ccds):
version_hdr.delete('CPHDU')
version_hdr.delete('CCDNAME')
from legacypipe.utils import add_bits
from legacypipe.bits import DQ_BITS
add_bits(version_hdr, DQ_BITS, 'DQMASK', 'DQ', 'D')
from legacyzpts.psfzpt_cuts import CCD_CUT_BITS
add_bits(version_hdr, CCD_CUT_BITS, 'CCD_CUTS', 'CC', 'C')
for i, ap in enumerate(apertures_arcsec):
version_hdr.add_record(
dict(name='APRAD%i' % i,
value=ap,
comment='(optical) Aperture radius, in arcsec'))
unitmap = {
'exptime': 'sec',
'flux': 'nanomaggy',
'flux_ivar': '1/nanomaggy^2',
'apflux': 'nanomaggy',
'apflux_ivar': '1/nanomaggy^2',
'psfdepth': '1/nanomaggy^2',
'galdepth': '1/nanomaggy^2',
'sky': 'nanomaggy/arcsec^2',
'psfsize': 'arcsec',
'fwhm': 'pixels',
'ccdrarms': 'arcsec',
'ccddecrms': 'arcsec',
'ra': 'deg',
'dec': 'deg',
'skyrms': 'counts/sec',
'dra': 'arcsec',
'ddec': 'arcsec',
'dra_ivar': '1/arcsec^2',
'ddec_ivar': '1/arcsec^2'
}
columns = F.get_columns()
order = [
'release', 'brickid', 'brickname', 'objid', 'camera', 'expnum',
'ccdname', 'filter', 'mjd', 'exptime', 'psfsize', 'fwhm', 'ccd_cuts',
'airmass', 'sky', 'skyrms', 'psfdepth', 'galdepth', 'ccdzpt',
'ccdrarms', 'ccddecrms', 'ccdphrms', 'ra', 'dec', 'flux', 'flux_ivar',
'fracflux', 'rchisq', 'fracmasked', 'fracin', 'apflux', 'apflux_ivar',
'x', 'y', 'dqmask', 'dra', 'ddec', 'dra_ivar', 'ddec_ivar'
]
columns = [c for c in order if c in columns]
units = [unitmap.get(c, '') for c in columns]
if opt.out is not None:
outdir = os.path.dirname(opt.out)
if len(outdir):
trymakedirs(outdir)
tmpfn = os.path.join(outdir, 'tmp-' + os.path.basename(opt.out))
fitsio.write(tmpfn, None, header=version_hdr, clobber=True)
F.writeto(tmpfn, units=units, append=True, columns=columns)
os.rename(tmpfn, opt.out)
print('Wrote', opt.out)
else:
with survey.write_output('forced',
camera=opt.camera,
expnum=opt.expnum) as out:
F.writeto(None,
fits_object=out.fits,
primheader=version_hdr,
units=units,
columns=columns)
print('Wrote', out.real_fn)
if opt.outlier_mask is not None:
# Add outlier bit meanings to the primary header
version_hdr.add_record(
dict(name='COMMENT', value='Outlier mask bit meanings'))
version_hdr.add_record(
dict(name='OUTL_POS',
value=1,
comment='Outlier mask bit for Positive outlier'))
version_hdr.add_record(
dict(name='OUTL_NEG',
value=2,
comment='Outlier mask bit for Negative outlier'))
if opt.outlier_mask == 'default':
outdir = os.path.join(opt.out_dir, 'outlier-masks')
camexp = set(zip(ccds.camera, ccds.expnum))
for c, e in camexp:
I = np.flatnonzero((ccds.camera == c) * (ccds.expnum == e))
ccd = ccds[I[0]]
imfn = ccd.image_filename.strip()
outfn = os.path.join(outdir, imfn.replace('.fits',
'-outlier.fits'))
trymakedirs(outfn, dir=True)
tempfn = outfn.replace('.fits', '-tmp.fits')
with fitsio.FITS(tempfn, 'rw', clobber=True) as fits:
fits.write(None, header=version_hdr)
for i in I:
mask = outlier_masks[i]
_, _, _, meth, tile = survey.get_compression_args(
'outliers_mask', shape=mask.shape)
fits.write(mask,
header=outlier_hdrs[i],
extname=ccds.ccdname[i],
compress=meth,
tile_dims=tile)
os.rename(tempfn, outfn)
print('Wrote', outfn)
elif opt.outlier_mask is not None:
with fitsio.FITS(opt.outlier_mask, 'rw', clobber=True) as F:
F.write(None, header=version_hdr)
for i, (hdr, mask) in enumerate(zip(outlier_hdrs, outlier_masks)):
_, _, _, meth, tile = survey.get_compression_args(
'outliers_mask', shape=mask.shape)
F.write(mask,
header=hdr,
extname=ccds.ccdname[i],
compress=meth,
tile_dims=tile)
print('Wrote', opt.outlier_mask)
tnow = Time()
print('Total:', tnow - t0)
return 0
def rbmain():
travis = 'travis' in sys.argv
extra_args = [
'--old-calibs-ok',
#'--verbose',
]
if travis:
extra_args.extend(
['--no-wise-ceres', '--no-gaia', '--no-large-galaxies'])
if 'ceres' in sys.argv:
surveydir = os.path.join(os.path.dirname(__file__), 'testcase3')
main(args=[
'--brick', '2447p120', '--zoom', '1020', '1070', '2775', '2815',
'--no-wise', '--force-all', '--no-write', '--ceres',
'--survey-dir', surveydir, '--outdir', 'out-testcase3-ceres',
'--no-depth-cut'
])
sys.exit(0)
# demo RexGalaxy, with plots
if False:
from legacypipe.survey import RexGalaxy
from tractor import NanoMaggies, PixPos
from tractor import Image, GaussianMixturePSF, LinearPhotoCal
from legacypipe.survey import LogRadius
rex = RexGalaxy(PixPos(1., 2.), NanoMaggies(r=3.), LogRadius(0.))
print('Rex:', rex)
print('Rex params:', rex.getParams())
print('Rex nparams:', rex.numberOfParams())
H, W = 100, 100
tim = Image(data=np.zeros((H, W), np.float32),
inverr=np.ones((H, W), np.float32),
psf=GaussianMixturePSF(1., 0., 0., 4., 4., 0.),
photocal=LinearPhotoCal(1., band='r'))
derivs = rex.getParamDerivatives(tim)
print('Derivs:', len(derivs))
print('Rex params:', rex.getParamNames())
import pylab as plt
from astrometry.util.plotutils import PlotSequence
ps = PlotSequence('rex')
for d, nm in zip(derivs, rex.getParamNames()):
plt.clf()
plt.imshow(d.patch, interpolation='nearest', origin='lower')
plt.title('Derivative %s' % nm)
ps.savefig()
sys.exit(0)
# Test RexGalaxy
surveydir = os.path.join(os.path.dirname(__file__), 'testcase6')
outdir = 'out-testcase6-rex'
main(args=[
'--brick',
'1102p240',
'--zoom',
'500',
'600',
'650',
'750',
'--force-all',
'--no-write',
'--no-wise',
#'--rex', #'--plots',
'--survey-dir',
surveydir,
'--outdir',
outdir
] + extra_args)
fn = os.path.join(outdir, 'tractor', '110', 'tractor-1102p240.fits')
assert (os.path.exists(fn))
T = fits_table(fn)
assert (len(T) == 2)
print('Types:', T.type)
# Since there is a Tycho-2 star in the blob, forced to be PSF.
assert (T.type[0] == 'PSF ')
cmd = (
'(cd %s && sha256sum -c %s)' %
(outdir, os.path.join('tractor', '110', 'brick-1102p240.sha256sum')))
print(cmd)
rtn = os.system(cmd)
assert (rtn == 0)
# Test with a Tycho-2 star in the blob.
surveydir = os.path.join(os.path.dirname(__file__), 'testcase6')
outdir = 'out-testcase6'
main(args=[
'--brick', '1102p240', '--zoom', '500', '600', '650', '750',
'--force-all', '--no-write', '--no-wise', '--survey-dir', surveydir,
'--outdir', outdir
] + extra_args)
fn = os.path.join(outdir, 'tractor', '110', 'tractor-1102p240.fits')
assert (os.path.exists(fn))
T = fits_table(fn)
assert (len(T) == 2)
print('Types:', T.type)
# Since there is a Tycho-2 star in the blob, forced to be PSF.
assert (T.type[0] == 'PSF ')
# Test that we can run splinesky calib if required...
from legacypipe.decam import DecamImage
DecamImage.splinesky_boxsize = 128
surveydir = os.path.join(os.path.dirname(__file__), 'testcase4')
outdir = 'out-testcase4'
fn = os.path.join(surveydir, 'calib', 'decam', 'splinesky', '00431',
'00431608', 'decam-00431608-N3.fits')
if os.path.exists(fn):
os.unlink(fn)
main(args=[
'--brick', '1867p255', '--zoom', '2050', '2300', '1150', '1400',
'--force-all', '--no-write', '--coadd-bw', '--unwise-dir',
os.path.join(surveydir, 'images', 'unwise'), '--unwise-tr-dir',
os.path.join(surveydir, 'images', 'unwise-tr'), '--blob-image',
'--no-hybrid-psf', '--survey-dir', surveydir, '--outdir', outdir
] + extra_args + ['-v'])
print('Checking for calib file', fn)
assert (os.path.exists(fn))
# Wrap-around, hybrid PSF
surveydir = os.path.join(os.path.dirname(__file__), 'testcase8')
outdir = 'out-testcase8'
main(args=[
'--brick',
'1209p050',
'--zoom',
'720',
'1095',
'3220',
'3500',
'--force-all',
'--no-write',
'--no-wise', #'--plots',
'--survey-dir',
surveydir,
'--outdir',
outdir
] + extra_args)
# Test with a Tycho-2 star + another saturated star in the blob.
surveydir = os.path.join(os.path.dirname(__file__), 'testcase7')
outdir = 'out-testcase7'
# remove --no-gaia
my_extra_args = [a for a in extra_args if a != '--no-gaia']
os.environ['GAIA_CAT_DIR'] = os.path.join(surveydir, 'gaia-dr2')
os.environ['GAIA_CAT_VER'] = '2'
main(args=[
'--brick',
'1102p240',
'--zoom',
'250',
'350',
'1550',
'1650',
'--force-all',
'--no-write',
'--no-wise', #'--plots',
'--survey-dir',
surveydir,
'--outdir',
outdir
] + my_extra_args)
del os.environ['GAIA_CAT_DIR']
del os.environ['GAIA_CAT_VER']
fn = os.path.join(outdir, 'tractor', '110', 'tractor-1102p240.fits')
assert (os.path.exists(fn))
T = fits_table(fn)
assert (len(T) == 4)
# Check skipping blobs outside the brick's unique area.
# (this now doesn't detect any sources at all, reasonably)
# surveydir = os.path.join(os.path.dirname(__file__), 'testcase5')
# outdir = 'out-testcase5'
#
# fn = os.path.join(outdir, 'tractor', '186', 'tractor-1867p255.fits')
# if os.path.exists(fn):
# os.unlink(fn)
#
# main(args=['--brick', '1867p255', '--zoom', '0', '150', '0', '150',
# '--force-all', '--no-write', '--coadd-bw',
# '--survey-dir', surveydir,
# '--early-coadds',
# '--outdir', outdir] + extra_args)
#
# assert(os.path.exists(fn))
# T = fits_table(fn)
# assert(len(T) == 1)
# Custom RA,Dec; blob ra,dec.
surveydir = os.path.join(os.path.dirname(__file__), 'testcase4')
outdir = 'out-testcase4b'
# Catalog written with one entry (--blobradec)
fn = os.path.join(outdir, 'tractor', 'cus',
'tractor-custom-186743p25461.fits')
if os.path.exists(fn):
os.unlink(fn)
main(args=[
'--radec', '186.743965', '25.461788', '--width', '250', '--height',
'250', '--force-all', '--no-write', '--no-wise', '--blobradec',
'186.740369', '25.453855', '--survey-dir', surveydir, '--outdir',
outdir
] + extra_args)
assert (os.path.exists(fn))
T = fits_table(fn)
assert (len(T) == 1)
surveydir = os.path.join(os.path.dirname(__file__), 'testcase3')
outdir = 'out-testcase3'
checkpoint_fn = os.path.join(outdir, 'checkpoint.pickle')
if os.path.exists(checkpoint_fn):
os.unlink(checkpoint_fn)
main(args=[
'--brick', '2447p120', '--zoom', '1020', '1070', '2775', '2815',
'--no-wise', '--force-all', '--no-write', '--survey-dir', surveydir,
'--outdir', outdir, '--checkpoint', checkpoint_fn,
'--checkpoint-period', '1', '--threads', '2'
] + extra_args)
# Read catalog into Tractor sources to test read_fits_catalog
from legacypipe.catalog import read_fits_catalog
from legacypipe.survey import LegacySurveyData, GaiaSource
from tractor.galaxy import DevGalaxy
from tractor import PointSource
survey = LegacySurveyData(survey_dir=outdir)
fn = survey.find_file('tractor', brick='2447p120')
print('Checking', fn)
T = fits_table(fn)
cat = read_fits_catalog(T, fluxPrefix='')
print('Read catalog:', cat)
assert (len(cat) == 2)
src = cat[0]
assert (type(src) == DevGalaxy)
assert (np.abs(src.pos.ra - 244.77973) < 0.00001)
assert (np.abs(src.pos.dec - 12.07233) < 0.00001)
src = cat[1]
print('Source', src)
assert (type(src) in [PointSource, GaiaSource])
assert (np.abs(src.pos.ra - 244.77830) < 0.00001)
assert (np.abs(src.pos.dec - 12.07250) < 0.00001)
# DevGalaxy(pos=RaDecPos[244.77975494973529, 12.072348111713127], brightness=NanoMaggies: g=19.2, r=17.9, z=17.1, shape=re=2.09234, e1=-0.198453, e2=0.023652,
# PointSource(RaDecPos[244.77833280764278, 12.072521274981987], NanoMaggies: g=25, r=23, z=21.7)
# Check that we can run again, using that checkpoint file.
main(args=[
'--brick', '2447p120', '--zoom', '1020', '1070', '2775', '2815',
'--no-wise', '--force-all', '--no-write', '--survey-dir', surveydir,
'--outdir', outdir, '--checkpoint', checkpoint_fn,
'--checkpoint-period', '1', '--threads', '2'
] + extra_args)
# Assert...... something?
# Test --checkpoint without --threads
main(args=[
'--brick', '2447p120', '--zoom', '1020', '1070', '2775', '2815',
'--no-wise', '--force-all', '--no-write', '--survey-dir', surveydir,
'--outdir', outdir, '--checkpoint', checkpoint_fn,
'--checkpoint-period', '1'
] + extra_args)
# MzLS + BASS data
# surveydir2 = os.path.join(os.path.dirname(__file__), 'mzlsbass')
# main(args=['--brick', '3521p002', '--zoom', '2400', '2450', '1200', '1250',
# '--no-wise', '--force-all', '--no-write',
# '--survey-dir', surveydir2,
# '--outdir', 'out-mzlsbass'])
# From Kaylan's Bootes pre-DR4 run
# surveydir2 = os.path.join(os.path.dirname(__file__), 'mzlsbass3')
# main(args=['--brick', '2173p350', '--zoom', '100', '200', '100', '200',
# '--no-wise', '--force-all', '--no-write',
# '--survey-dir', surveydir2,
# '--outdir', 'out-mzlsbass3'] + extra_args)
# With plots!
main(args=[
'--brick', '2447p120', '--zoom', '1020', '1070', '2775', '2815',
'--no-wise', '--force-all', '--no-write', '--survey-dir', surveydir,
'--outdir', 'out-testcase3', '--plots', '--nblobs', '1'
] + extra_args)
# Decals Image Simulations
# Uncomment WHEN galsim build for Travis
#os.environ["DECALS_SIM_DIR"]= os.path.join(os.path.dirname(__file__),'image_sims')
#brick= '2447p120'
#sim_main(args=['--brick', brick, '-n', '2', '-o', 'STAR', \
# '-ic', '1', '--rmag-range', '18', '26', '--threads', '1',\
# '--zoom', '1020', '1070', '2775', '2815'])
# Check if correct files written out
#rt_dir= os.path.join(os.getenv('DECALS_SIM_DIR'),brick,'star','001')
#assert( os.path.exists(os.path.join(rt_dir,'../','metacat-'+brick+'-star.fits')) )
#for fn in ['tractor-%s-star-01.fits' % brick,'simcat-%s-star-01.fits' % brick]:
# assert( os.path.exists(os.path.join(rt_dir,fn)) )
#for fn in ['image','model','resid','simscoadd']:
# assert( os.path.exists(os.path.join(rt_dir,'qa-'+brick+'-star-'+fn+'-01.jpg')) )
if not travis:
# With ceres
main(args=[
'--brick', '2447p120', '--zoom', '1020', '1070', '2775', '2815',
'--no-wise', '--force-all', '--no-write', '--ceres',
'--survey-dir', surveydir, '--outdir', 'out-testcase3-ceres'
] + extra_args)
def main():
survey = LegacySurveyData()
brickname = '2351p137'
# RA,Dec = 235.0442, 13.7125
bx, by = 3300, 1285
sz = 50
bbox = [bx - sz, bx + sz, by - sz, by + sz]
objid = 1394
bands = ['g', 'r', 'z']
from legacypipe.runbrick import stage_tims, _get_mod, rgbkwargs, rgbkwargs_resid
from legacypipe.survey import get_rgb, imsave_jpeg
from legacypipe.coadds import make_coadds
from astrometry.util.multiproc import multiproc
from astrometry.util.fits import fits_table
from legacypipe.catalog import read_fits_catalog
# brick = survey.get_brick_by_name(brickname)
# # Get WCS object describing brick
# targetwcs = wcs_for_brick(brick)
# (x0,x1,y0,y1) = bbox
# W = x1-x0
# H = y1-y0
# targetwcs = targetwcs.get_subimage(x0, y0, W, H)
# H,W = targetwcs.shape
mp = multiproc()
P = stage_tims(brickname=brickname,
survey=survey,
target_extent=bbox,
pixPsf=True,
hybridPsf=True,
depth_cut=False,
mp=mp)
print('Got', P.keys())
tims = P['tims']
targetwcs = P['targetwcs']
H, W = targetwcs.shape
# Read Tractor catalog
fn = survey.find_file('tractor', brick=brickname)
print('Trying to read catalog', fn)
cat = fits_table(fn)
print('Read', len(cat), 'sources')
ok, xx, yy = targetwcs.radec2pixelxy(cat.ra, cat.dec)
I = np.flatnonzero((xx > 0) * (xx < W) * (yy > 0) * (yy < H))
cat.cut(I)
print('Cut to', len(cat), 'sources within box')
I = np.flatnonzero(cat.objid != objid)
cat.cut(I)
print('Cut to', len(cat), 'sources with objid !=', objid)
#cat.about()
# Convert FITS catalog into tractor source objects
print('Creating tractor sources...')
srcs = read_fits_catalog(cat, fluxPrefix='')
print('Sources:')
for src in srcs:
print(' ', src)
print('Rendering model images...')
mods = [_get_mod((tim, srcs)) for tim in tims]
print('Producing coadds...')
C = make_coadds(tims, bands, targetwcs, mods=mods, mp=mp)
print('Coadds:', dir(C))
coadd_list = [('image', C.coimgs, rgbkwargs),
('model', C.comods, rgbkwargs),
('resid', C.coresids, rgbkwargs_resid)]
#C.coimgs, C.comods, C.coresids
for name, ims, rgbkw in coadd_list:
rgb = get_rgb(ims, bands, **rgbkw)
kwa = {}
#with survey.write_output(name + '-jpeg', brick=brickname) as out:
# imsave_jpeg(out.fn, rgb, origin='lower', **kwa)
# print('Wrote', out.fn)
outfn = name + '.jpg'
imsave_jpeg(outfn, rgb, origin='lower', **kwa)
del rgb
def main():
import argparse
parser = argparse.ArgumentParser(
description='This script creates small self-contained data sets that '
'are useful for test cases of the pipeline codes.')
parser.add_argument('ccds', help='CCDs table describing region to grab')
parser.add_argument('outdir', help='Output directory name')
parser.add_argument('brick', help='Brick containing these images')
parser.add_argument('--survey-dir', type=str, default=None)
parser.add_argument('--cache-dir', type=str, default=None,
help='Directory to search for cached files')
parser.add_argument('--wise', help='For WISE outputs, give the path to a WCS file describing the sub-brick region of interest, eg, a coadd image')
parser.add_argument('--wise-wcs-hdu', help='For WISE outputs, the HDU to read the WCS from in the file given by --wise.', type=int, default=0)
parser.add_argument('--fpack', action='store_true', default=False)
parser.add_argument('--gzip', action='store_true', default=False)
parser.add_argument('--pad', action='store_true', default=False,
help='Keep original image size, but zero out pixels outside ROI')
args = parser.parse_args()
v = 'SKY_TEMPLATE_DIR'
if v in os.environ:
del os.environ[v]
C = fits_table(args.ccds)
print(len(C), 'CCDs in', args.ccds)
C.camera = np.array([c.strip() for c in C.camera])
survey = LegacySurveyData(cache_dir=args.cache_dir, survey_dir=args.survey_dir)
if ',' in args.brick:
ra,dec = args.brick.split(',')
ra = float(ra)
dec = float(dec)
fakebricks = fits_table()
fakebricks.brickname = np.array([('custom-%06i%s%05i' %
(int(1000*ra), 'm' if dec < 0 else 'p',
int(1000*np.abs(dec))))])
fakebricks.ra = np.array([ra])
fakebricks.dec = np.array([dec])
bricks = fakebricks
outbricks = bricks
else:
bricks = survey.get_bricks_readonly()
outbricks = bricks[np.array([n == args.brick for n in bricks.brickname])]
assert(len(outbricks) == 1)
outsurvey = LegacySurveyData(survey_dir = args.outdir)
trymakedirs(args.outdir)
outbricks.writeto(os.path.join(args.outdir, 'survey-bricks.fits.gz'))
targetwcs = wcs_for_brick(outbricks[0])
H,W = targetwcs.shape
tycho2fn = survey.find_file('tycho2')
kd = tree_open(tycho2fn, 'stars')
radius = 1.
rc,dc = targetwcs.radec_center()
I = tree_search_radec(kd, rc, dc, radius)
print(len(I), 'Tycho-2 stars within', radius, 'deg of RA,Dec (%.3f, %.3f)' % (rc,dc))
# Read only the rows within range.
tycho = fits_table(tycho2fn, rows=I)
del kd
print('Read', len(tycho), 'Tycho-2 stars')
ok,tx,ty = targetwcs.radec2pixelxy(tycho.ra, tycho.dec)
#margin = 100
#tycho.cut(ok * (tx > -margin) * (tx < W+margin) *
# (ty > -margin) * (ty < H+margin))
print('Cut to', len(tycho), 'Tycho-2 stars within brick')
del ok,tx,ty
#tycho.writeto(os.path.join(args.outdir, 'tycho2.fits.gz'))
f,tfn = tempfile.mkstemp(suffix='.fits')
os.close(f)
tycho.writeto(tfn)
outfn = os.path.join(args.outdir, 'tycho2.kd.fits')
cmd = 'startree -i %s -o %s -P -k -n stars -T' % (tfn, outfn)
print(cmd)
rtn = os.system(cmd)
assert(rtn == 0)
os.unlink(tfn)
from legacypipe.gaiacat import GaiaCatalog
gcat = GaiaCatalog()
# from ps1cat.py:
wcs = targetwcs
step=100.
margin=10.
# Grid the CCD in pixel space
W,H = wcs.get_width(), wcs.get_height()
xx,yy = np.meshgrid(
np.linspace(1-margin, W+margin, 2+int((W+2*margin)/step)),
np.linspace(1-margin, H+margin, 2+int((H+2*margin)/step)))
# Convert to RA,Dec and then to unique healpixes
ra,dec = wcs.pixelxy2radec(xx.ravel(), yy.ravel())
healpixes = set()
for r,d in zip(ra,dec):
healpixes.add(gcat.healpix_for_radec(r, d))
for hp in healpixes:
hpcat = gcat.get_healpix_catalog(hp)
ok,xx,yy = wcs.radec2pixelxy(hpcat.ra, hpcat.dec)
onccd = np.flatnonzero((xx >= 1.-margin) * (xx <= W+margin) *
(yy >= 1.-margin) * (yy <= H+margin))
hpcat.cut(onccd)
if len(hpcat):
outfn = os.path.join(args.outdir, 'gaia', 'chunk-%05d.fits' % hp)
trymakedirs(os.path.join(args.outdir, 'gaia'))
hpcat.writeto(outfn)
outccds = C.copy()
cols = outccds.get_columns()
for c in ['ccd_x0', 'ccd_x1', 'ccd_y0', 'ccd_y1',
'brick_x0', 'brick_x1', 'brick_y0', 'brick_y1',
'skyver', 'wcsver', 'psfver', 'skyplver', 'wcsplver',
'psfplver' ]:
if c in cols:
outccds.delete_column(c)
outccds.image_hdu[:] = 1
# Convert to list to avoid truncating filenames
outccds.image_filename = [fn for fn in outccds.image_filename]
for iccd,ccd in enumerate(C):
decam = (ccd.camera.strip() == 'decam')
bok = (ccd.camera.strip() == '90prime')
im = survey.get_image_object(ccd)
print('Got', im)
if survey.cache_dir is not None:
im.check_for_cached_files(survey)
slc = (slice(ccd.ccd_y0, ccd.ccd_y1), slice(ccd.ccd_x0, ccd.ccd_x1))
psfkwargs = dict(pixPsf=True, gaussPsf=False, hybridPsf=False,
normalizePsf=False)
tim = im.get_tractor_image(slc, pixPsf=True,
subsky=False, nanomaggies=False,
no_remap_invvar=True, old_calibs_ok=True)
print('Tim:', tim.shape)
psfrow = psfhdr = None
if args.pad:
psf = im.read_psf_model(0, 0, w=im.width, h=im.height, **psfkwargs)
psfex = psf.psfex
else:
psf = tim.getPsf()
psfex = psf.psfex
# Did the PSF model come from a merged file?
for fn in [im.merged_psffn, im.psffn] + im.old_merged_psffns:
if not os.path.exists(fn):
continue
T = fits_table(fn)
I, = np.nonzero((T.expnum == im.expnum) *
np.array([c.strip() == im.ccdname for c in T.ccdname]))
if len(I) != 1:
continue
psfrow = T[I]
x0 = ccd.ccd_x0
y0 = ccd.ccd_y0
psfrow.polzero1[0] -= x0
psfrow.polzero2[0] -= y0
#psfhdr = fitsio.read_header(im.merged_psffn)
break
psfex.fwhm = tim.psf_fwhm
#### HACK
#psfrow = None
assert(psfrow is not None)
if psfrow is not None:
print('PSF row:', psfrow)
#else:
# print('PSF:', psf)
# print('PsfEx:', psfex)
skyrow = skyhdr = None
if args.pad:
primhdr = fitsio.read_header(im.imgfn)
imghdr = fitsio.read_header(im.imgfn, hdu=im.hdu)
sky = im.read_sky_model(splinesky=True, primhdr=primhdr, imghdr=imghdr)
#skyhdr = fitsio.read_header(im.splineskyfn)
#msky = im.read_merged_splinesky_model(slc=slc, old_calibs_ok=True)
else:
sky = tim.getSky()
# Did the sky model come from a merged file?
#msky = im.read_merged_splinesky_model(slc=slc, old_calibs_ok=True)
print('merged skyfn:', im.merged_skyfn)
print('single skyfn:', im.skyfn)
print('old merged skyfns:', im.old_merged_skyfns)
for fn in [im.merged_skyfn, im.skyfn] + im.old_merged_skyfns:
if not os.path.exists(fn):
continue
T = fits_table(fn)
I, = np.nonzero((T.expnum == im.expnum) *
np.array([c.strip() == im.ccdname for c in T.ccdname]))
skyrow = T[I]
skyrow.x0[0] = ccd.ccd_x0
skyrow.y0[0] = ccd.ccd_y0
# s_med = skyrow.sky_med[0]
# s_john = skyrow.sky_john[0]
# skyhdr = fitsio.read_header(fn)
assert(skyrow is not None)
### HACK
#skyrow = None
if skyrow is not None:
print('Sky row:', skyrow)
else:
print('Sky:', sky)
# Output filename format:
fn = ccd.image_filename.strip()
ccd.image_filename = os.path.join(os.path.dirname(fn),
'%s.%s.fits' % (os.path.basename(fn).split('.')[0], ccd.ccdname.strip()))
outim = outsurvey.get_image_object(ccd)
print('Output image:', outim)
print('Image filename:', outim.imgfn)
trymakedirs(outim.imgfn, dir=True)
imgdata = tim.getImage()
ivdata = tim.getInvvar()
# Since we remap DQ codes (always with Mosaic and Bok, sometimes with DECam),
# re-read from the FITS file rather than using tim.dq.
print('Reading data quality from', im.dqfn, 'hdu', im.hdu)
dqdata = im._read_fits(im.dqfn, im.hdu, slice=tim.slice)
print('Tim shape:', tim.shape, 'Slice', tim.slice)
print('image shape:', imgdata.shape, 'iv', ivdata.shape, 'DQ', dqdata.shape)
from collections import Counter
dqvals = Counter(dqdata.ravel())
print('DQ pixel counts:')
for k,n in dqvals.most_common():
print(' 0x%x' % k, ':', n)
if args.pad:
# Create zero image of full size, copy in data.
fullsize = np.zeros((ccd.height, ccd.width), imgdata.dtype)
fullsize[slc] = imgdata
imgdata = fullsize
fullsize = np.zeros((ccd.height, ccd.width), dqdata.dtype)
fullsize[slc] = dqdata
dqdata = fullsize
fullsize = np.zeros((ccd.height, ccd.width), ivdata.dtype)
fullsize[slc] = ivdata
ivdata = fullsize
else:
# Adjust the header WCS by x0,y0
crpix1 = tim.hdr['CRPIX1']
crpix2 = tim.hdr['CRPIX2']
tim.hdr['CRPIX1'] = crpix1 - ccd.ccd_x0
tim.hdr['CRPIX2'] = crpix2 - ccd.ccd_y0
# Add image extension to filename
# fitsio doesn't compress .fz by default, so drop .fz suffix
#outim.imgfn = outim.imgfn.replace('.fits', '-%s.fits' % im.ccdname)
if not args.fpack:
outim.imgfn = outim.imgfn.replace('.fits.fz', '.fits')
if args.gzip:
outim.imgfn = outim.imgfn.replace('.fits', '.fits.gz')
#outim.wtfn = outim.wtfn.replace('.fits', '-%s.fits' % im.ccdname)
if not args.fpack:
outim.wtfn = outim.wtfn.replace('.fits.fz', '.fits')
if args.gzip:
outim.wtfn = outim.wtfn.replace('.fits', '.fits.gz')
if outim.dqfn is not None:
#outim.dqfn = outim.dqfn.replace('.fits', '-%s.fits' % im.ccdname)
if not args.fpack:
outim.dqfn = outim.dqfn.replace('.fits.fz', '.fits')
if args.gzip:
outim.dqfn = outim.dqfn.replace('.fits', '.fits.gz')
if bok:
outim.psffn = outim.psffn.replace('.psf', '-%s.psf' % im.ccdname)
ccdfn = outim.imgfn
ccdfn = ccdfn.replace(outsurvey.get_image_dir(), '')
if ccdfn.startswith('/'):
ccdfn = ccdfn[1:]
outccds.image_filename[iccd] = ccdfn
print('Changed output filenames to:')
print(outim.imgfn)
print(outim.dqfn)
ofn = outim.imgfn
if args.fpack:
f,ofn = tempfile.mkstemp(suffix='.fits')
os.close(f)
fits = fitsio.FITS(ofn, 'rw', clobber=True)
fits.write(None, header=tim.primhdr)
fits.write(imgdata, header=tim.hdr, extname=ccd.ccdname)
fits.close()
if args.fpack:
cmd = 'fpack -qz 8 -S %s > %s && rm %s' % (ofn, outim.imgfn, ofn)
print('Running:', cmd)
rtn = os.system(cmd)
assert(rtn == 0)
h,w = tim.shape
if not args.pad:
outccds.width[iccd] = w
outccds.height[iccd] = h
outccds.crpix1[iccd] = crpix1 - ccd.ccd_x0
outccds.crpix2[iccd] = crpix2 - ccd.ccd_y0
wcs = Tan(*[float(x) for x in
[ccd.crval1, ccd.crval2, ccd.crpix1, ccd.crpix2,
ccd.cd1_1, ccd.cd1_2, ccd.cd2_1, ccd.cd2_2, ccd.width, ccd.height]])
if args.pad:
subwcs = wcs
else:
subwcs = wcs.get_subimage(ccd.ccd_x0, ccd.ccd_y0, w, h)
outccds.ra[iccd],outccds.dec[iccd] = subwcs.radec_center()
print('Weight filename:', outim.wtfn)
wfn = outim.wtfn
trymakedirs(wfn, dir=True)
ofn = wfn
if args.fpack:
f,ofn = tempfile.mkstemp(suffix='.fits')
os.close(f)
fits = fitsio.FITS(ofn, 'rw', clobber=True)
fits.write(None, header=tim.primhdr)
fits.write(ivdata, header=tim.hdr, extname=ccd.ccdname)
fits.close()
if args.fpack:
cmd = 'fpack -qz 8 -S %s > %s && rm %s' % (ofn, wfn, ofn)
print('Running:', cmd)
rtn = os.system(cmd)
assert(rtn == 0)
if outim.dqfn is not None:
print('DQ filename', outim.dqfn)
trymakedirs(outim.dqfn, dir=True)
ofn = outim.dqfn
if args.fpack:
f,ofn = tempfile.mkstemp(suffix='.fits')
os.close(f)
fits = fitsio.FITS(ofn, 'rw', clobber=True)
fits.write(None, header=tim.primhdr)
fits.write(dqdata, header=tim.hdr, extname=ccd.ccdname)
fits.close()
if args.fpack:
cmd = 'fpack -g -q 0 -S %s > %s && rm %s' % (ofn, outim.dqfn, ofn)
print('Running:', cmd)
rtn = os.system(cmd)
assert(rtn == 0)
psfout = outim.psffn
#if psfrow:
# psfout = outim.merged_psffn
print('PSF output filename:', psfout)
trymakedirs(psfout, dir=True)
if psfrow:
psfrow.writeto(psfout, primhdr=psfhdr)
else:
print('Writing PsfEx:', psfout)
psfex.writeto(psfout)
# update header
F = fitsio.FITS(psfout, 'rw')
F[0].write_keys([dict(name='EXPNUM', value=ccd.expnum),
dict(name='PLVER', value=psf.plver),
dict(name='PROCDATE', value=psf.procdate),
dict(name='PLPROCID', value=psf.plprocid),])
F.close()
skyout = outim.skyfn
#if skyrow:
# skyout = outim.merged_splineskyfn
print('Sky output filename:', skyout)
trymakedirs(skyout, dir=True)
if skyrow is not None:
skyrow.writeto(skyout, primhdr=skyhdr)
else:
primhdr = fitsio.FITSHDR()
primhdr['PLVER'] = sky.plver
primhdr['PLPROCID'] = sky.plprocid
primhdr['PROCDATE'] = sky.procdate
primhdr['EXPNUM'] = ccd.expnum
primhdr['IMGDSUM'] = sky.datasum
primhdr['S_MED'] = s_med
primhdr['S_JOHN'] = s_john
sky.write_fits(skyout, primhdr=primhdr)
# HACK -- check result immediately.
outccds.writeto(os.path.join(args.outdir, 'survey-ccds-1.fits.gz'))
outsurvey.ccds = None
outC = outsurvey.get_ccds_readonly()
occd = outC[iccd]
outim = outsurvey.get_image_object(occd)
print('Got output image:', outim)
otim = outim.get_tractor_image(pixPsf=True,
hybridPsf=True, old_calibs_ok=True)
print('Got output tim:', otim)
outccds.writeto(os.path.join(args.outdir, 'survey-ccds-1.fits.gz'))
# WISE
if args.wise is not None:
from wise.forcedphot import unwise_tiles_touching_wcs
from wise.unwise import (unwise_tile_wcs, unwise_tiles_touching_wcs,
get_unwise_tractor_image, get_unwise_tile_dir)
# Read WCS...
print('Reading TAN wcs header from', args.wise, 'HDU', args.wise_wcs_hdu)
targetwcs = Tan(args.wise, args.wise_wcs_hdu)
tiles = unwise_tiles_touching_wcs(targetwcs)
print('Cut to', len(tiles), 'unWISE tiles')
H,W = targetwcs.shape
r,d = targetwcs.pixelxy2radec(np.array([1, W, W/2, W/2]),
np.array([H/2, H/2, 1, H ]))
roiradec = [r[0], r[1], d[2], d[3]]
unwise_dir = os.environ['UNWISE_COADDS_DIR']
wise_out = os.path.join(args.outdir, 'images', 'unwise')
print('Will write WISE outputs to', wise_out)
unwise_tr_dir = os.environ['UNWISE_COADDS_TIMERESOLVED_DIR']
wise_tr_out = os.path.join(args.outdir, 'images', 'unwise-tr')
print('Will write WISE time-resolved outputs to', wise_tr_out)
trymakedirs(wise_tr_out)
W = fits_table(os.path.join(unwise_tr_dir, 'time_resolved_atlas.fits'))
print('Read', len(W), 'time-resolved WISE coadd tiles')
W.cut(np.array([t in tiles.coadd_id for t in W.coadd_id]))
print('Cut to', len(W), 'time-resolved vs', len(tiles), 'full-depth')
# Write the time-resolved index subset.
W.writeto(os.path.join(wise_tr_out, 'time_resolved_atlas.fits'))
# this ought to be enough for anyone =)
_,Nepochs = W.epoch_bitmask.shape
print('N epochs in time-resolved atlas:', Nepochs)
wisedata = []
# full depth
for band in [1,2,3,4]:
wisedata.append((unwise_dir, wise_out, tiles.coadd_id, band, True))
# time-resolved
for band in [1,2]:
# W1 is bit 0 (value 0x1), W2 is bit 1 (value 0x2)
bitmask = (1 << (band-1))
for e in range(Nepochs):
# Which tiles have images for this epoch?
I = np.flatnonzero(W.epoch_bitmask[:,e] & bitmask)
if len(I) == 0:
continue
print('Epoch %i: %i tiles:' % (e, len(I)), W.coadd_id[I])
edir = os.path.join(unwise_tr_dir, 'e%03i' % e)
eoutdir = os.path.join(wise_tr_out, 'e%03i' % e)
wisedata.append((edir, eoutdir, tiles.coadd_id[I], band, False))
wrote_masks = set()
model_dir = os.environ.get('UNWISE_MODEL_SKY_DIR')
if model_dir is not None:
model_dir_out = os.path.join(args.outdir, 'images', 'unwise-mod')
trymakedirs(model_dir_out)
for indir, outdir, tiles, band, fulldepth in wisedata:
for tile in tiles:
wanyband = 'w'
tim = get_unwise_tractor_image(indir, tile, band,
bandname=wanyband, roiradecbox=roiradec)
print('Got unWISE tim', tim)
print(tim.shape)
if model_dir is not None and fulldepth and band in [1,2]:
print('ROI', tim.roi)
#0387p575.1.mod.fits
fn = '%s.%i.mod.fits' % (tile, band)
print('Filename', fn)
F = fitsio.FITS(os.path.join(model_dir, fn))
x0,x1,y0,y1 = tim.roi
slc = slice(y0,y1),slice(x0,x1)
phdr = F[0].read_header()
outfn = os.path.join(model_dir_out, fn)
for e,extname in [(1,'MODEL'), (2,'SKY')]:
pix = F[e][slc]
hdr = F[e].read_header()
crpix1 = hdr['CRPIX1']
crpix2 = hdr['CRPIX2']
hdr['CRPIX1'] -= x0
hdr['CRPIX2'] -= y0
#print('mod', mod)
#print('Model', mod.shape)
if e == 1:
fitsio.write(outfn, None, clobber=True, header=phdr)
fitsio.write(outfn, pix, header=hdr, extname=extname)
print('Wrote', outfn)
thisdir = get_unwise_tile_dir(outdir, tile)
print('Directory for this WISE tile:', thisdir)
base = os.path.join(thisdir, 'unwise-%s-w%i-' % (tile, band))
print('Base filename:', base)
masked = True
mu = 'm' if masked else 'u'
imfn = base + 'img-%s.fits' % mu
ivfn = base + 'invvar-%s.fits.gz' % mu
nifn = base + 'n-%s.fits.gz' % mu
nufn = base + 'n-u.fits.gz'
#print('WISE image header:', tim.hdr)
# Adjust the header WCS by x0,y0
wcs = tim.wcs.wcs
tim.hdr['CRPIX1'] = wcs.crpix[0]
tim.hdr['CRPIX2'] = wcs.crpix[1]
H,W = tim.shape
tim.hdr['IMAGEW'] = W
tim.hdr['IMAGEH'] = H
print('WCS:', wcs)
print('Header CRPIX', tim.hdr['CRPIX1'], tim.hdr['CRPIX2'])
trymakedirs(imfn, dir=True)
fitsio.write(imfn, tim.getImage(), header=tim.hdr, clobber=True)
print('Wrote', imfn)
fitsio.write(ivfn, tim.getInvvar(), header=tim.hdr, clobber=True)
print('Wrote', ivfn)
fitsio.write(nifn, tim.nims, header=tim.hdr, clobber=True)
print('Wrote', nifn)
fitsio.write(nufn, tim.nuims, header=tim.hdr, clobber=True)
print('Wrote', nufn)
if not (indir,tile) in wrote_masks:
print('Looking for mask file for', indir, tile)
# record that we tried this dir/tile combo
wrote_masks.add((indir,tile))
for idir in indir.split(':'):
tdir = get_unwise_tile_dir(idir, tile)
maskfn = 'unwise-%s-msk.fits.gz' % tile
fn = os.path.join(tdir, maskfn)
print('Mask file:', fn)
if os.path.exists(fn):
print('Reading', fn)
(x0,x1,y0,y1) = tim.roi
roislice = (slice(y0,y1), slice(x0,x1))
F = fitsio.FITS(fn)[0]
hdr = F.read_header()
M = F[roislice]
outfn = os.path.join(thisdir, maskfn)
fitsio.write(outfn, M, header=tim.hdr, clobber=True)
print('Wrote', outfn)
break
outC = outsurvey.get_ccds_readonly()
for iccd,ccd in enumerate(outC):
outim = outsurvey.get_image_object(ccd)
print('Got output image:', outim)
otim = outim.get_tractor_image(pixPsf=True,
hybridPsf=True, old_calibs_ok=True)
print('Got output tim:', otim)
from astrometry.util.fits import *
import numpy as np
from glob import glob
from collections import Counter
from legacypipe.survey import LegacySurveyData
fns = glob('forced/*/*/forced-*.fits')
F = merge_tables([fits_table(fn) for fn in fns])
dr6 = LegacySurveyData('/project/projectdirs/cosmo/data/legacysurvey/dr6')
B = dr6.get_bricks_readonly()
I = np.flatnonzero((B.ra1 < F.ra.max()) * (B.ra2 > F.ra.min()) * (B.dec1 < F.dec.max()) * (B.dec2 > F.dec.min()))
print(len(I), 'bricks')
T = merge_tables([fits_table(dr6.find_file('tractor', brick=B.brickname[i])) for i in I])
print(len(T), 'sources')
T.cut(T.brick_primary)
print(len(T), 'primary')
# map from F to T index
imap = dict([((b,o),i) for i,(b,o) in enumerate(zip(T.brickid, T.objid))])
F.tindex = np.array([imap[(b,o)] for b,o in zip(F.brickid, F.objid)])
assert(np.all(T.brickid[F.tindex] == F.brickid))
assert(np.all(T.objid[F.tindex] == F.objid))
fcols = 'apflux apflux_ivar camera expnum ccdname exptime flux flux_ivar fracflux mask mjd rchi2 x y brickid objid'.split()
bands = np.unique(F.filter)
for band in bands:
Fb = F[F.filter == band]
def make_pickle_file(pfn, derivs=False, agn=False):
survey = LegacySurveyData()
ccds = survey.get_ccds()
brickname = '0364m042'
bricks = survey.get_bricks()
brick = bricks[bricks.brickname == brickname][0]
print('Brick', brick)
catfn = survey.find_file('tractor', brick=brickname)
print('Reading catalog from', catfn)
cat = fits_table(catfn)
print(len(cat), 'catalog entries')
cat.cut(cat.brick_primary)
print(len(cat), 'brick primary')
'''
BRICKNAM BRICKID BRICKQ BRICKROW BRICKCOL RA DEC
0364m042 306043 3 343 145 36.4255910987483 -4.25000000000000
RA1 RA2 DEC1 DEC2
36.3004172461752 36.5507649513213 -4.37500000000000 -4.12500000000000
'''
rlo, rhi = brick.ra1, brick.ra2
dlo, dhi = brick.dec1, brick.dec2
#rlo,rhi = 36.4, 36.5
#dlo,dhi = -4.4, -4.3
ra, dec = (rlo + rhi) / 2., (dlo + dhi) / 2.
## optional
cat.cut(
(cat.ra > rlo) * (cat.ra < rhi) * (cat.dec > dlo) * (cat.dec < dhi))
print('Cut to', len(cat), 'catalog objects in RA,Dec box')
lightcurves = dict([((brickname, oid), []) for oid in cat.objid])
# close enough to equator to ignore cos(dec)
dra = 4096 / 2. * 0.262 / 3600.
ddec = 2048 / 2. * 0.262 / 3600.
ccds.cut((np.abs(ccds.ra - ra) <
(rhi - rlo) / 2. + dra) * (np.abs(ccds.dec - dec) <
(dhi - dlo) / 2. + ddec))
print('Cut to', len(ccds), 'CCDs overlapping brick')
### HACK
#ccds = ccds[:50]
for i, (expnum, ccdname) in enumerate(zip(ccds.expnum, ccds.ccdname)):
ee = '%08i' % expnum
flavor = 'vanilla'
cols = [
'brickname', 'objid', 'camera', 'expnum', 'ccdname', 'mjd',
'filter', 'flux', 'flux_ivar'
]
if derivs:
flavor = 'derivs'
cols.extend(
['flux_dra', 'flux_ddec', 'flux_dra_ivar', 'flux_ddec_ivar'])
if agn:
flavor = 'agn'
cols.extend(['flux_agn', 'flux_agn_ivar'])
fn = 'forced/%s/%s/%s/forced-decam-%s-%s.fits' % (flavor, ee[:5], ee,
ee, ccdname)
if not os.path.exists(fn):
print('WARNING: missing:', fn)
continue
T = fits_table(fn)
print(i + 1, 'of', len(ccds), ':', len(T), 'in', fn)
T.cut(T.brickname == brickname)
print(len(T), 'in brick', brickname)
found = 0
for t in T: #oid,expnum,ccdname,mjd,filter,flux,fluxiv in zip(T.objid, T.expnum, T.ccdname, T.mjd, T.filter, T.flux, T.flux_ivar):
lc = lightcurves.get((t.brickname, t.objid), None)
if lc is None:
continue
found += 1
#lc.append((expnum, ccdname, mjd, filter, flux, fluxiv))
lc.append([t.get(c) for c in cols])
print('Matched', found, 'sources to light curves')
#pickle_to_file(lightcurves, pfn)
ll = {}
for k, v in lightcurves.items():
if len(v) == 0:
continue
T = fits_table()
# T.expnum = np.array([vv[0] for vv in v])
# T.ccdname= np.array([vv[1] for vv in v])
# T.mjd = np.array([vv[2] for vv in v])
# T.filter = np.array([vv[3] for vv in v])
# T.flux = np.array([vv[4] for vv in v])
# T.fluxiv = np.array([vv[5] for vv in v])
for i, c in enumerate(cols):
T.set(c, np.array([vv[i] for vv in v]))
ll[k] = T
pickle_to_file(ll, pfn)
'--no-wise', '--force-all', '--no-write',
'--survey-dir', surveydir,
'--outdir', outdir,
'--checkpoint', checkpoint_fn,
'--checkpoint-period', '1',
'--threads', '2'])
# Read catalog into Tractor sources to test read_fits_catalog
from legacypipe.catalog import read_fits_catalog
from legacypipe.survey import LegacySurveyData
from astrometry.util.fits import fits_table
from tractor.galaxy import DevGalaxy
from tractor import PointSource
survey = LegacySurveyData(survey_dir=outdir)
fn = survey.find_file('tractor', brick='2447p120')
T = fits_table(fn)
cat = read_fits_catalog(T)
print('Read catalog:', cat)
assert(len(cat) == 2)
src = cat[0]
assert(type(src) == DevGalaxy)
assert(np.abs(src.pos.ra - 244.77975) < 0.00001)
assert(np.abs(src.pos.dec - 12.07234) < 0.00001)
src = cat[1]
assert(type(src) == PointSource)
assert(np.abs(src.pos.ra - 244.77833) < 0.00001)
assert(np.abs(src.pos.dec - 12.07252) < 0.00001)
# DevGalaxy(pos=RaDecPos[244.77975494973529, 12.072348111713127], brightness=NanoMaggies: g=19.2, r=17.9, z=17.1, shape=re=2.09234, e1=-0.198453, e2=0.023652,
# PointSource(RaDecPos[244.77833280764278, 12.072521274981987], NanoMaggies: g=25, r=23, z=21.7)
'--no-wise', '--force-all', '--no-write',
'--survey-dir', surveydir,
'--outdir', outdir,
'--checkpoint', checkpoint_fn,
'--checkpoint-period', '1',
'--threads', '2'] + extra_args)
# Read catalog into Tractor sources to test read_fits_catalog
from legacypipe.catalog import read_fits_catalog
from legacypipe.survey import LegacySurveyData, GaiaSource
from astrometry.util.fits import fits_table
from tractor.galaxy import DevGalaxy
from tractor import PointSource
survey = LegacySurveyData(survey_dir=outdir)
fn = survey.find_file('tractor', brick='2447p120')
print('Checking', fn)
T = fits_table(fn)
cat = read_fits_catalog(T, fluxPrefix='')
print('Read catalog:', cat)
assert(len(cat) == 2)
src = cat[0]
assert(type(src) == DevGalaxy)
assert(np.abs(src.pos.ra - 244.77975) < 0.00001)
assert(np.abs(src.pos.dec - 12.07234) < 0.00001)
src = cat[1]
print('Source', src)
assert(type(src) in [PointSource, GaiaSource])
assert(np.abs(src.pos.ra - 244.77833) < 0.00001)
assert(np.abs(src.pos.dec - 12.07252) < 0.00001)
# DevGalaxy(pos=RaDecPos[244.77975494973529, 12.072348111713127], brightness=NanoMaggies: g=19.2, r=17.9, z=17.1, shape=re=2.09234, e1=-0.198453, e2=0.023652,
def plot_light_curves(pfn, ucal=False):
lightcurves = unpickle_from_file(pfn)
if ucal:
tag = 'ucal-'
else:
tag = ''
survey = LegacySurveyData()
brickname = '0364m042'
catfn = survey.find_file('tractor', brick=brickname)
print('Reading catalog from', catfn)
cat = fits_table(catfn)
print(len(cat), 'catalog entries')
cat.cut(cat.brick_primary)
print(len(cat), 'brick primary')
I = []
for i, oid in enumerate(cat.objid):
if (brickname, oid) in lightcurves:
I.append(i)
I = np.array(I)
cat.cut(I)
print('Cut to', len(cat), 'with light curves')
S = fits_table('specObj-dr12-trim-2.fits')
from astrometry.libkd.spherematch import match_radec
I, J, d = match_radec(S.ra, S.dec, cat.ra, cat.dec, 2. / 3600.)
print('Matched', len(I), 'to spectra')
plt.subplots_adjust(hspace=0)
movie_jpegs = []
movie_wcs = None
for i in range(28):
fn = os.path.join('des-sn-movie', 'epoch%i' % i, 'coadd',
brickname[:3], brickname,
'legacysurvey-%s-image.jpg' % brickname)
print(fn)
if not os.path.exists(fn):
continue
img = plt.imread(fn)
img = np.flipud(img)
h, w, d = img.shape
fn = os.path.join('des-sn-movie', 'epoch%i' % i, 'coadd',
brickname[:3], brickname,
'legacysurvey-%s-image-r.fits' % brickname)
if not os.path.exists(fn):
continue
wcs = Tan(fn)
movie_jpegs.append(img)
movie_wcs = wcs
plt.figure(figsize=(8, 6), dpi=100)
n = 0
fluxtags = [('flux', 'flux_ivar', '', 'a')]
if ucal:
fluxtags.append(('uflux', 'uflux_ivar', ': ucal', 'b'))
for oid, ii in zip(cat.objid[J], I):
print('Objid', oid)
spec = S[ii]
k = (brickname, oid)
v = lightcurves[k]
# Cut bad CCDs
v.cut(np.array([e not in [230151, 230152, 230153] for e in v.expnum]))
plt.clf()
print('obj', k, 'has', len(v), 'measurements')
T = v
for fluxtag, fluxivtag, fluxname, plottag in fluxtags:
plt.clf()
filts = np.unique(T.filter)
for i, f in enumerate(filts):
from tractor.brightness import NanoMaggies
plt.subplot(len(filts), 1, i + 1)
fluxes = np.hstack(
[T.get(ft[0])[T.filter == f] for ft in fluxtags])
fluxes = fluxes[np.isfinite(fluxes)]
mn, mx = np.percentile(fluxes, [5, 95])
print('Flux percentiles for filter', f, ':', mn, mx)
# note swap
mn, mx = NanoMaggies.nanomaggiesToMag(
mx), NanoMaggies.nanomaggiesToMag(mn)
print('-> mags', mn, mx)
cut = (T.filter == f) * (T.flux_ivar > 0)
if ucal:
cut *= np.isfinite(T.uflux)
I = np.flatnonzero(cut)
print(' ', len(I), 'in', f, 'band')
I = I[np.argsort(T.mjd[I])]
mediv = np.median(T.flux_ivar[I])
# cut really noisy ones
I = I[T.flux_ivar[I] > 0.25 * mediv]
#plt.plot(T.mjd[I], T.flux[I], '.-', color=dict(g='g',r='r',z='m')[f])
# plt.errorbar(T.mjd[I], T.flux[I], yerr=1/np.sqrt(T.fluxiv[I]),
# fmt='.-', color=dict(g='g',r='r',z='m')[f])
#plt.errorbar(T.mjd[I], T.flux[I], yerr=1/np.sqrt(T.fluxiv[I]),
# fmt='.', color=dict(g='g',r='r',z='m')[f])
# if ucal:
# mag,dmag = NanoMaggies.fluxErrorsToMagErrors(T.flux[I], T.flux_ivar[I])
# else:
# mag,dmag = NanoMaggies.fluxErrorsToMagErrors(T.uflux[I], T.uflux_ivar[I])
mag, dmag = NanoMaggies.fluxErrorsToMagErrors(
T.get(fluxtag)[I],
T.get(fluxivtag)[I])
plt.errorbar(T.mjd[I],
mag,
yerr=dmag,
fmt='.',
color=dict(g='g', r='r', z='m')[f])
#yl,yh = plt.ylim()
#plt.ylim(yh,yl)
plt.ylim(mx, mn)
plt.ylabel(f)
if i + 1 < len(filts):
plt.xticks([])
#plt.yscale('symlog')
outfn = 'cutout_%.4f_%.4f.jpg' % (spec.ra, spec.dec)
if not os.path.exists(outfn):
url = 'http://legacysurvey.org/viewer/jpeg-cutout/?ra=%.4f&dec=%.4f&zoom=14&layer=sdssco&size=128' % (
spec.ra, spec.dec)
cmd = 'wget -O %s "%s"' % (outfn, url)
print(cmd)
os.system(cmd)
pix = plt.imread(outfn)
h, w, d = pix.shape
fig = plt.gcf()
#print('fig bbox:', fig.bbox)
#print('xmax, ymax', fig.bbox.xmax, fig.bbox.ymax)
#plt.figimage(pix, 0, fig.bbox.ymax - h, zorder=10)
#plt.figimage(pix, 0, fig.bbox.ymax, zorder=10)
#plt.figimage(pix, fig.bbox.xmax - w, fig.bbox.ymax, zorder=10)
plt.figimage(pix,
fig.bbox.xmax - (w + 2),
fig.bbox.ymax - (h + 2),
zorder=10)
plt.suptitle('SDSS spectro object: %s at (%.4f, %.4f)%s' %
(spec.label.strip(), spec.ra, spec.dec, fluxname))
plt.savefig('forced-%s%i-%s.png' % (tag, n, plottag))
ok, x, y = movie_wcs.radec2pixelxy(spec.ra, spec.dec)
x = int(np.round(x - 1))
y = int(np.round(y - 1))
sz = 32
plt.clf()
plt.subplots_adjust(hspace=0, wspace=0)
k = 1
for i, img in enumerate(movie_jpegs):
stamp = img[y - sz:y + sz + 1, x - sz:x + sz + 1]
plt.subplot(5, 6, k)
plt.imshow(stamp, interpolation='nearest', origin='lower')
plt.xticks([])
plt.yticks([])
k += 1
plt.suptitle('SDSS spectro object: %s at (%.4f, %.4f): DES images' %
(spec.label.strip(), spec.ra, spec.dec))
plt.savefig('forced-%s%i-c.png' % (tag, n))
n += 1
def main():
import argparse
parser = argparse.ArgumentParser()
parser.add_argument(
'-b',
'--brick',
help='Brick name to run; required unless --radec is given')
parser.add_argument(
'--survey-dir',
type=str,
default=None,
help='Override the $LEGACY_SURVEY_DIR environment variable')
parser.add_argument('-d',
'--outdir',
dest='output_dir',
help='Set output base directory, default "."')
parser.add_argument(
'--out',
help='Output filename -- if not set, defaults to path within --outdir.'
)
parser.add_argument('-r',
'--run',
default=None,
help='Set the run type to execute (for images)')
parser.add_argument(
'--catalog',
help=
'Use the given FITS catalog file, rather than reading from a data release directory'
)
parser.add_argument('--catalog-dir',
help='Set LEGACY_SURVEY_DIR to use to read catalogs')
parser.add_argument(
'--catalog-dir-north',
help='Set LEGACY_SURVEY_DIR to use to read Northern catalogs')
parser.add_argument(
'--catalog-dir-south',
help='Set LEGACY_SURVEY_DIR to use to read Southern catalogs')
parser.add_argument(
'--catalog-resolve-dec-ngc',
type=float,
help=
'Dec at which to switch from Northern to Southern catalogs (NGC only)',
default=32.375)
parser.add_argument('-v',
'--verbose',
dest='verbose',
action='count',
default=0,
help='Make more verbose')
opt = parser.parse_args()
if opt.brick is None:
parser.print_help()
return -1
verbose = opt.verbose
if verbose == 0:
lvl = logging.INFO
else:
lvl = logging.DEBUG
logging.basicConfig(level=lvl, format='%(message)s', stream=sys.stdout)
# tractor logging is *soooo* chatty
logging.getLogger('tractor.engine').setLevel(lvl + 10)
from legacypipe.runs import get_survey
survey = get_survey(opt.run,
survey_dir=opt.survey_dir,
output_dir=opt.output_dir)
columns = [
'release',
'brickid',
'objid',
]
cat = None
catsurvey = survey
if opt.catalog is not None:
cat = fits_table(opt.catalog, columns=columns)
print('Read', len(cat), 'sources from', opt.catalog)
else:
from astrometry.util.starutil_numpy import radectolb
# The "north" and "south" directories often don't have
# 'survey-bricks" files of their own -- use the 'survey' one
# instead.
brick = None
for s in [survey, catsurvey]:
try:
brick = s.get_brick_by_name(opt.brick)
break
except:
import traceback
traceback.print_exc()
pass
l, b = radectolb(brick.ra, brick.dec)
# NGC and above resolve line? -> north
if b > 0 and brick.dec >= opt.catalog_resolve_dec_ngc:
if opt.catalog_dir_north:
catsurvey = LegacySurveyData(survey_dir=opt.catalog_dir_north)
else:
if opt.catalog_dir_south:
catsurvey = LegacySurveyData(survey_dir=opt.catalog_dir_south)
fn = catsurvey.find_file('tractor', brick=opt.brick)
cat = fits_table(fn, columns=columns)
print('Read', len(cat), 'sources from', fn)
program_name = sys.argv[0]
## FIXME -- from catalog?
release = 9999
version_hdr = get_version_header(program_name, opt.survey_dir, release)
from legacypipe.utils import add_bits
from legacypipe.bits import DQ_BITS
add_bits(version_hdr, DQ_BITS, 'DQMASK', 'DQ', 'D')
from legacyzpts.psfzpt_cuts import CCD_CUT_BITS
add_bits(version_hdr, CCD_CUT_BITS, 'CCD_CUTS', 'CC', 'C')
for i, ap in enumerate(apertures_arcsec):
version_hdr.add_record(
dict(name='APRAD%i' % i,
value=ap,
comment='(optical) Aperture radius, in arcsec'))
cat, forced = merge_forced(survey, opt.brick, cat)
units = []
for i, col in enumerate(forced.get_columns()):
units.append(forced._header.get('TUNIT%i' % (i + 1), ''))
cols = forced.get_columns()
if opt.out:
cat.writeto(opt.out, primheader=version_hdr)
forced.writeto(opt.out, append=True, units=units, columns=cols)
else:
with survey.write_output('forced-brick', brick=opt.brick) as out:
cat.writeto(None, fits_object=out.fits, primheader=version_hdr)
forced.writeto(None,
fits_object=out.fits,
append=True,
units=units,
columns=cols)
def rbmain():
from legacypipe.catalog import read_fits_catalog
from legacypipe.survey import LegacySurveyData, wcs_for_brick
from tractor.galaxy import DevGalaxy
from tractor import PointSource, Catalog
from tractor import GaussianMixturePSF
from legacypipe.survey import BrickDuck
from legacypipe.forced_photom import main as forced_main
from astrometry.util.file import trymakedirs
import shutil
ceres = 'ceres' in sys.argv
psfex = 'psfex' in sys.argv
for v in [
'UNWISE_COADDS_TIMERESOLVED_DIR', 'SKY_TEMPLATE_DIR',
'LARGEGALAXIES_CAT', 'GAIA_CAT_DIR', 'TYCHO2_KD_DIR'
]:
if v in os.environ:
del os.environ[v]
oldargs = sys.argv
sys.argv = [sys.argv[0]]
main()
sys.argv = oldargs
# Test create_kdtree and (reading CCD kd-tree)!
indir = os.path.join(os.path.dirname(__file__), 'testcase6')
with tempfile.TemporaryDirectory() as surveydir:
files = [
'calib', 'gaia', 'images', 'survey-bricks.fits.gz',
'tycho2.kd.fits'
]
for fn in files:
src = os.path.join(indir, fn)
dst = os.path.join(surveydir, fn)
#trymakedirs(dst, dir=True)
print('Copy', src, dst)
if os.path.isfile(src):
shutil.copy(src, dst)
else:
shutil.copytree(src, dst)
from legacypipe.create_kdtrees import create_kdtree
infn = os.path.join(indir, 'survey-ccds-1.fits.gz')
outfn = os.path.join(surveydir, 'survey-ccds-1.kd.fits')
create_kdtree(infn, outfn, False)
os.environ['TYCHO2_KD_DIR'] = surveydir
outdir = 'out-testcase6-kd'
main(args=[
'--brick', '1102p240', '--zoom', '500', '600', '650', '750',
'--force-all', '--no-write', '--no-wise', '--no-gaia',
'--survey-dir', surveydir, '--outdir', outdir
])
fn = os.path.join(outdir, 'tractor', '110', 'tractor-1102p240.fits')
assert (os.path.exists(fn))
T = fits_table(fn)
assert (len(T) == 2)
# Since there is a Tycho-2 star in the blob, forced to be PSF.
assert (T.type[0].strip() == 'PSF')
assert (T.type[1].strip() == 'PSF')
# There is a Tycho-2 star in the blob.
I = np.flatnonzero(T.ref_cat == 'T2')
assert (len(I) == 1)
assert (T.ref_id[I][0] == 1909016711)
cat = read_fits_catalog(T)
assert (len(cat) == 2)
assert (isinstance(cat[0], PointSource))
assert (isinstance(cat[1], PointSource))
cat, ivs = read_fits_catalog(T, invvars=True)
assert (len(cat) == 2)
assert (isinstance(cat[0], PointSource))
assert (isinstance(cat[1], PointSource))
cat2 = Catalog(*cat)
assert (len(ivs) == len(cat2.getParams()))
# test --fit-on-coadds
outdir = 'out-testcase6-coadds'
main(args=[
'--brick', '1102p240', '--zoom', '500', '600', '650', '750',
'--force-all', '--no-write', '--no-wise', '--no-gaia',
'--survey-dir', surveydir, '--fit-on-coadds', '--outdir', outdir
])
fn = os.path.join(outdir, 'tractor', '110', 'tractor-1102p240.fits')
assert (os.path.exists(fn))
T = fits_table(fn)
assert (len(T) == 2)
# Since there is a Tycho-2 star in the blob, forced to be PSF.
assert (T.type[0].strip() == 'PSF')
assert (T.type[1].strip() == 'PSF')
# There is a Tycho-2 star in the blob.
I = np.flatnonzero(T.ref_cat == 'T2')
assert (len(I) == 1)
assert (T.ref_id[I][0] == 1909016711)
del os.environ['TYCHO2_KD_DIR']
# test --skip-coadds
r = main(args=[
'--brick', '1102p240', '--zoom', '500', '600', '650', '750',
'--force-all', '--no-write', '--no-wise', '--no-gaia',
'--survey-dir', surveydir, '--outdir', outdir, '--skip-coadd'
])
assert (r == 0)
# test --skip
r = main(args=[
'--brick', '1102p240', '--zoom', '500', '600', '650', '750',
'--force-all', '--no-write', '--no-wise', '--no-gaia',
'--survey-dir', surveydir, '--outdir', outdir, '--skip'
])
assert (r == 0)
# NothingToDoError (neighbouring brick)
r = main(args=[
'--brick', '1102p240', '--zoom', '0', '100', '0', '100',
'--force-all', '--no-write', '--no-wise', '--no-gaia',
'--survey-dir', surveydir, '--outdir', outdir
])
assert (r == 0)
surveydir = os.path.join(os.path.dirname(__file__), 'testcase9')
# Test for some get_tractor_image kwargs
survey = LegacySurveyData(surveydir)
fakebrick = BrickDuck(9.1228, 3.3975, 'quack')
wcs = wcs_for_brick(fakebrick, W=100, H=100)
ccds = survey.ccds_touching_wcs(wcs)
ccd = ccds[0]
im = survey.get_image_object(ccd)
H, W = wcs.shape
targetrd = np.array([
wcs.pixelxy2radec(x, y)
for x, y in [(1, 1), (W, 1), (W, H), (1, H), (1, 1)]
])
tim = im.get_tractor_image(radecpoly=targetrd)
assert (tim.getImage() is not None)
assert (tim.getInvError() is not None)
assert (tim.dq is not None)
tim2 = im.get_tractor_image(radecpoly=targetrd, pixels=False)
assert (np.all(tim2.getImage() == 0.))
tim4 = im.get_tractor_image(radecpoly=targetrd, invvar=False)
u = np.unique(tim4.inverr)
assert (len(u) == 1)
u = u[0]
target = tim4.zpscale / tim4.sig1
assert (np.abs(u / target - 1.) < 0.001)
tim3 = im.get_tractor_image(radecpoly=targetrd, invvar=False, dq=False)
assert (not hasattr(tim3, 'dq'))
tim5 = im.get_tractor_image(radecpoly=targetrd, gaussPsf=True)
print(tim5.getPsf())
assert (isinstance(tim5.getPsf(), GaussianMixturePSF))
surveydir = os.path.join(os.path.dirname(__file__), 'testcase12')
os.environ['TYCHO2_KD_DIR'] = surveydir
os.environ['GAIA_CAT_DIR'] = os.path.join(surveydir, 'gaia')
os.environ['GAIA_CAT_VER'] = '2'
os.environ['UNWISE_MODEL_SKY_DIR'] = os.path.join(surveydir, 'images',
'unwise-mod')
#python legacypipe/runbrick.py --radec --width 100 --height 100 --outdir dup5b --survey-dir test/testcase12 --force-all --no-wise
unwdir = os.path.join(surveydir, 'images', 'unwise')
main(args=[
'--radec', '346.684', '12.791', '--width', '100', '--height', '100',
'--no-wise-ceres', '--unwise-dir', unwdir, '--survey-dir', surveydir,
'--outdir', 'out-testcase12', '--skip-coadd', '--force-all'
])
# --plots for stage_wise_forced
main(args=[
'--radec', '346.684', '12.791', '--width', '100', '--height', '100',
'--no-wise-ceres', '--unwise-dir', unwdir, '--survey-dir', surveydir,
'--outdir', 'out-testcase12', '--stage', 'wise_forced', '--plots'
])
del os.environ['GAIA_CAT_DIR']
del os.environ['GAIA_CAT_VER']
del os.environ['TYCHO2_KD_DIR']
del os.environ['UNWISE_MODEL_SKY_DIR']
M = fitsio.read(
'out-testcase12/coadd/cus/custom-346684p12791/legacysurvey-custom-346684p12791-maskbits.fits.fz'
)
# Count masked & unmasked bits (the cluster splits this 100x100 field)
from collections import Counter
c = Counter(M.ravel())
from legacypipe.bits import MASKBITS
assert (c[0] >= 4000)
assert (c[MASKBITS['CLUSTER']] >= 4000)
surveydir = os.path.join(os.path.dirname(__file__), 'testcase9')
os.environ['GAIA_CAT_DIR'] = os.path.join(surveydir, 'gaia')
os.environ['GAIA_CAT_VER'] = '2'
os.environ['LARGEGALAXIES_CAT'] = os.path.join(surveydir,
'sga-sub.kd.fits')
main(args=[
'--radec', '9.1228', '3.3975', '--width', '100', '--height', '100',
'--old-calibs-ok', '--no-wise-ceres', '--no-wise', '--survey-dir',
surveydir, '--outdir', 'out-testcase9', '--skip', '--force-all',
'--ps', 'tc9-ps.fits', '--ps-t0',
str(int(time.time()))
])
# (omit --force-all --no-write... reading from pickles below!)
# Test with --apodize
main(args=[
'--radec', '9.1228', '3.3975', '--width', '100', '--height', '100',
'--old-calibs-ok', '--no-wise', '--force-all', '--no-write',
'--survey-dir', surveydir, '--outdir', 'out-testcase9-ap', '--apodize'
])
main(args=[
'--radec', '9.1228', '3.3975', '--width', '100', '--height', '100',
'--old-calibs-ok', '--no-wise-ceres', '--no-wise', '--survey-dir',
surveydir, '--outdir', 'out-testcase9', '--plots', '--stage', 'halos'
])
main(args=[
'--radec', '9.1228', '3.3975', '--width', '100', '--height', '100',
'--old-calibs-ok', '--no-wise-ceres', '--no-wise', '--survey-dir',
surveydir, '--outdir', 'out-testcase9-coadds', '--stage',
'image_coadds', '--blob-image'
])
T = fits_table(
'out-testcase9/tractor/cus/tractor-custom-009122p03397.fits')
assert (len(T) == 4)
# Gaia star becomes a DUP!
assert (np.sum([t == 'DUP' for t in T.type]) == 1)
# LSLGA galaxy exists!
Igal = np.flatnonzero([r == 'L3' for r in T.ref_cat])
assert (len(Igal) == 1)
assert (np.all(T.ref_id[Igal] > 0))
assert (T.type[Igal[0]] == 'SER')
# --brick and --zoom rather than --radec --width --height
main(args=[
'--survey-dir', surveydir, '--outdir', 'out-testcase9b', '--zoom',
'1950', '2050', '340', '440', '--brick', '0091p035', '--force-all'
])
# test forced phot??
shutil.copy('test/testcase9/survey-bricks.fits.gz', 'out-testcase9b')
forced_main(args=[
'--survey-dir', surveydir, '--no-ceres', '--catalog-dir',
'out-testcase9b', '372546', 'N26', 'forced1.fits'
])
assert (os.path.exists('forced1.fits'))
_ = fits_table('forced1.fits')
# ... more tests...!
forced_main(args=[
'--survey-dir', surveydir, '--no-ceres', '--catalog-dir',
'out-testcase9b', '--derivs', '--threads', '2', '--apphot', '372547',
'N26', 'forced2.fits'
])
assert (os.path.exists('forced2.fits'))
_ = fits_table('forced2.fits')
forced_main(args=[
'--survey-dir', surveydir, '--no-ceres', '--catalog-dir',
'out-testcase9b', '--agn', '257266', 'S21', 'forced3.fits'
])
assert (os.path.exists('forced3.fits'))
_ = fits_table('forced3.fits')
if ceres:
forced_main(args=[
'--survey-dir', surveydir, '--catalog-dir', 'out-testcase9b',
'--derivs', '--threads', '2', '--apphot', '372546', 'N26',
'forced4.fits'
])
assert (os.path.exists('forced4.fits'))
_ = fits_table('forced4.fits')
# Test cache_dir
with tempfile.TemporaryDirectory() as cachedir, \
tempfile.TemporaryDirectory() as tempsurveydir:
files = []
for dirpath, _, filenames in os.walk(surveydir):
for fn in filenames:
path = os.path.join(dirpath, fn)
relpath = os.path.relpath(path, surveydir)
files.append(relpath)
# cache or no?
files.sort()
files_cache = files[::2]
files_nocache = files[1::2]
# Survey-ccds *must* be in nocache.
fn = 'survey-ccds-1.kd.fits'
if fn in files_cache:
files_cache.remove(fn)
files_nocache.append(fn)
for fn in files_cache:
src = os.path.join(surveydir, fn)
dst = os.path.join(cachedir, fn)
trymakedirs(dst, dir=True)
print('Copy', src, dst)
shutil.copy(src, dst)
for fn in files_nocache:
src = os.path.join(surveydir, fn)
dst = os.path.join(tempsurveydir, fn)
trymakedirs(dst, dir=True)
print('Copy', src, dst)
shutil.copy(src, dst)
main(args=[
'--radec', '9.1228', '3.3975', '--width', '100', '--height', '100',
'--no-wise', '--survey-dir', tempsurveydir, '--cache-dir',
cachedir, '--outdir', 'out-testcase9cache', '--force-all'
])
del os.environ['GAIA_CAT_DIR']
del os.environ['GAIA_CAT_VER']
del os.environ['LARGEGALAXIES_CAT']
# if ceres:
# surveydir = os.path.join(os.path.dirname(__file__), 'testcase3')
# main(args=['--brick', '2447p120', '--zoom', '1020', '1070', '2775', '2815',
# '--no-wise', '--force-all', '--no-write', '--ceres',
# '--survey-dir', surveydir,
# '--outdir', 'out-testcase3-ceres',
# '--no-depth-cut'])
# MzLS + BASS data
# python legacypipe/runbrick.py --run north --brick 1773p595 --zoom 1300 1500 700 900 --survey-dir dr9-north -s coadds
# fitscopy coadd/177/1773p595/legacysurvey-1773p595-ccds.fits"[#row<3 || #row==12]" cx.fits
# python legacyanalysis/create_testcase.py cx.fits test/mzlsbass2 1773p595 --survey-dir dr9-north/ --fpack
surveydir2 = os.path.join(os.path.dirname(__file__), 'mzlsbass2')
os.environ['GAIA_CAT_DIR'] = os.path.join(surveydir2, 'gaia')
os.environ['GAIA_CAT_VER'] = '2'
main(args=[
'--brick', '1773p595', '--zoom', '1300', '1500', '700', '900',
'--no-wise', '--force-all', '--no-write', '--survey-dir', surveydir2,
'--outdir', 'out-mzlsbass2'
])
T = fits_table('out-mzlsbass2/tractor/177/tractor-1773p595.fits')
assert (np.sum(T.ref_cat == 'G2') == 3)
assert (np.sum(T.ref_id > 0) == 3)
# Test --max-blobsize, --checkpoint, --bail-out
outdir = 'out-mzlsbass2b'
chk = 'checkpoint-mzb2b.p'
if os.path.exists(chk):
os.unlink(chk)
main(args=[
'--brick', '1773p595', '--zoom', '1300', '1500', '700', '900',
'--no-wise', '--force-all', '--stage', 'fitblobs', '--write-stage',
'srcs', '--survey-dir', surveydir2, '--outdir', outdir, '--checkpoint',
chk, '--nblobs', '3'
])
# err... --max-blobsize does not result in bailed-out blobs masked,
# because it treats large blobs as *completed*...
#'--max-blobsize', '3000',
outdir = 'out-mzlsbass2c'
main(args=[
'--brick', '1773p595', '--zoom', '1300', '1500', '700', '900',
'--no-wise', '--force-all', '--survey-dir', surveydir2, '--outdir',
outdir, '--bail-out', '--checkpoint', chk, '--no-write'
])
del os.environ['GAIA_CAT_DIR']
del os.environ['GAIA_CAT_VER']
M = fitsio.read(
os.path.join(outdir, 'coadd', '177', '1773p595',
'legacysurvey-1773p595-maskbits.fits.fz'))
assert (np.sum((M & MASKBITS['BAILOUT']) > 0) >= 1000)
# Test RexGalaxy
surveydir = os.path.join(os.path.dirname(__file__), 'testcase6')
outdir = 'out-testcase6-rex'
the_args = [
'--brick',
'1102p240',
'--zoom',
'500',
'600',
'650',
'750',
'--force-all',
'--no-write',
'--no-wise',
'--skip-calibs',
#'--rex', #'--plots',
'--survey-dir',
surveydir,
'--outdir',
outdir
]
print('python legacypipe/runbrick.py', ' '.join(the_args))
os.environ['GAIA_CAT_DIR'] = os.path.join(surveydir, 'gaia')
os.environ['GAIA_CAT_VER'] = '2'
main(args=the_args)
fn = os.path.join(outdir, 'tractor', '110', 'tractor-1102p240.fits')
assert (os.path.exists(fn))
T = fits_table(fn)
assert (len(T) == 2)
print('Types:', T.type)
# Since there is a Tycho-2 star in the blob, forced to be PSF.
assert (T.type[0].strip() == 'PSF')
cmd = (
'(cd %s && sha256sum -c %s)' %
(outdir, os.path.join('tractor', '110', 'brick-1102p240.sha256sum')))
print(cmd)
rtn = os.system(cmd)
assert (rtn == 0)
# Test with a Tycho-2 star in the blob.
surveydir = os.path.join(os.path.dirname(__file__), 'testcase6')
outdir = 'out-testcase6'
main(args=[
'--brick', '1102p240', '--zoom', '500', '600', '650', '750',
'--force-all', '--no-write', '--no-wise', '--survey-dir', surveydir,
'--outdir', outdir
])
fn = os.path.join(outdir, 'tractor', '110', 'tractor-1102p240.fits')
assert (os.path.exists(fn))
T = fits_table(fn)
assert (len(T) == 2)
print('Types:', T.type)
# Since there is a Tycho-2 star in the blob, forced to be PSF.
assert (T.type[0].strip() == 'PSF')
del os.environ['GAIA_CAT_DIR']
del os.environ['GAIA_CAT_VER']
# Test that we can run splinesky calib if required...
from legacypipe.decam import DecamImage
DecamImage.splinesky_boxsize = 128
surveydir = os.path.join(os.path.dirname(__file__), 'testcase4')
survey = LegacySurveyData(surveydir)
# get brick by id
brickid = 473357
brick = survey.get_brick(brickid)
assert (brick.brickname == '1867p255')
assert (brick.brickid == brickid)
outdir = 'out-testcase4'
os.environ['GAIA_CAT_DIR'] = os.path.join(surveydir, 'gaia')
os.environ['GAIA_CAT_VER'] = '2'
fn = os.path.join(surveydir, 'calib', 'sky-single', 'decam', 'CP',
'V4.8.2', 'CP20170315', 'c4d_170316_062107_ooi_z_ls9',
'c4d_170316_062107_ooi_z_ls9-N2-splinesky.fits')
if os.path.exists(fn):
os.unlink(fn)
main(args=[
'--brick', '1867p255', '--zoom', '2050', '2300', '1150', '1400',
'--force-all', '--no-write', '--coadd-bw', '--unwise-dir',
os.path.join(surveydir, 'images', 'unwise'), '--unwise-tr-dir',
os.path.join(surveydir, 'images',
'unwise-tr'), '--blob-image', '--no-hybrid-psf',
'--survey-dir', surveydir, '--outdir', outdir, '-v', '--no-wise-ceres'
])
print('Checking for calib file', fn)
assert (os.path.exists(fn))
# Test with blob-masking when creating sky calib.
os.unlink(fn)
main(args=[
'--brick', '1867p255', '--zoom', '2050', '2300', '1150', '1400',
'--force-all', '--no-write', '--coadd-bw', '--blob-mask-dir',
surveydir, '--survey-dir', surveydir, '--stage', 'image_coadds',
'--outdir', 'out-testcase4b', '--plots'
])
print('Checking for calib file', fn)
assert (os.path.exists(fn))
if ceres:
main(args=[
'--brick', '1867p255', '--zoom', '2050', '2300', '1150', '1400',
'--force-all', '--no-write', '--coadd-bw', '--unwise-dir',
os.path.join(surveydir, 'images', 'unwise'), '--unwise-tr-dir',
os.path.join(surveydir, 'images', 'unwise-tr'), '--survey-dir',
surveydir, '--outdir', outdir
])
if psfex:
# Check that we can regenerate PsfEx files if necessary.
fn = os.path.join(surveydir, 'calib', 'psfex', 'decam', 'CP', 'V4.8.2',
'CP20170315',
'c4d_170316_062107_ooi_z_ls9-psfex.fits')
if os.path.exists(fn):
os.unlink(fn)
main(args=[
'--brick', '1867p255', '--zoom', '2050', '2300', '1150', '1400',
'--force-all', '--no-write', '--coadd-bw', '--unwise-dir',
os.path.join(surveydir, 'images', 'unwise'), '--unwise-tr-dir',
os.path.join(surveydir, 'images', 'unwise-tr'), '--blob-image',
'--survey-dir', surveydir, '--outdir', outdir, '-v'
])
print('After generating PsfEx calib:')
os.system('find %s' % (os.path.join(surveydir, 'calib')))
# Wrap-around, hybrid PSF
surveydir = os.path.join(os.path.dirname(__file__), 'testcase8')
outdir = 'out-testcase8'
os.environ['GAIA_CAT_DIR'] = os.path.join(surveydir, 'gaia')
os.environ['GAIA_CAT_VER'] = '2'
main(args=[
'--brick',
'1209p050',
'--zoom',
'720',
'1095',
'3220',
'3500',
'--force-all',
'--no-write',
'--no-wise', #'--plots',
'--survey-dir',
surveydir,
'--outdir',
outdir
])
# Test with a Tycho-2 star + another saturated star in the blob.
surveydir = os.path.join(os.path.dirname(__file__), 'testcase7')
outdir = 'out-testcase7'
os.environ['GAIA_CAT_DIR'] = os.path.join(surveydir, 'gaia')
os.environ['GAIA_CAT_VER'] = '2'
main(args=[
'--brick',
'1102p240',
'--zoom',
'250',
'350',
'1550',
'1650',
'--force-all',
'--no-write',
'--no-wise', #'--plots',
'--survey-dir',
surveydir,
'--outdir',
outdir
])
del os.environ['GAIA_CAT_DIR']
del os.environ['GAIA_CAT_VER']
fn = os.path.join(outdir, 'tractor', '110', 'tractor-1102p240.fits')
assert (os.path.exists(fn))
T = fits_table(fn)
assert (len(T) == 4)
# Check skipping blobs outside the brick's unique area.
# (this now doesn't detect any sources at all, reasonably)
# surveydir = os.path.join(os.path.dirname(__file__), 'testcase5')
# outdir = 'out-testcase5'
#
# fn = os.path.join(outdir, 'tractor', '186', 'tractor-1867p255.fits')
# if os.path.exists(fn):
# os.unlink(fn)
#
# main(args=['--brick', '1867p255', '--zoom', '0', '150', '0', '150',
# '--force-all', '--no-write', '--coadd-bw',
# '--survey-dir', surveydir,
# '--early-coadds',
# '--outdir', outdir] + extra_args)
#
# assert(os.path.exists(fn))
# T = fits_table(fn)
# assert(len(T) == 1)
# Custom RA,Dec; blob ra,dec.
surveydir = os.path.join(os.path.dirname(__file__), 'testcase4')
outdir = 'out-testcase4b'
os.environ['GAIA_CAT_DIR'] = os.path.join(surveydir, 'gaia')
# Catalog written with one entry (--blobradec)
fn = os.path.join(outdir, 'tractor', 'cus',
'tractor-custom-186743p25461.fits')
if os.path.exists(fn):
os.unlink(fn)
main(args=[
'--radec', '186.743965', '25.461788', '--width', '250', '--height',
'250', '--force-all', '--no-write', '--no-wise', '--blobradec',
'186.740369', '25.453855', '--survey-dir', surveydir, '--outdir',
outdir
])
assert (os.path.exists(fn))
T = fits_table(fn)
assert (len(T) == 1)
surveydir = os.path.join(os.path.dirname(__file__), 'testcase3')
outdir = 'out-testcase3'
os.environ['GAIA_CAT_DIR'] = os.path.join(surveydir, 'gaia')
os.environ['GAIA_CAT_VER'] = '2'
checkpoint_fn = os.path.join(outdir, 'checkpoint.pickle')
if os.path.exists(checkpoint_fn):
os.unlink(checkpoint_fn)
main(args=[
'--brick', '2447p120', '--zoom', '1020', '1070', '2775', '2815',
'--no-wise', '--force-all', '--no-write', '--survey-dir', surveydir,
'--outdir', outdir, '--checkpoint', checkpoint_fn,
'--checkpoint-period', '1', '--threads', '2'
])
# Read catalog into Tractor sources to test read_fits_catalog
survey = LegacySurveyData(survey_dir=outdir)
fn = survey.find_file('tractor', brick='2447p120')
print('Checking', fn)
T = fits_table(fn)
cat = read_fits_catalog(T)
print('Read catalog:', cat)
assert (len(cat) == 2)
src = cat[1]
print('Source0', src)
from tractor.sersic import SersicGalaxy
assert (type(src) in [DevGalaxy, SersicGalaxy])
assert (np.abs(src.pos.ra - 244.77973) < 0.00001)
assert (np.abs(src.pos.dec - 12.07234) < 0.00002)
src = cat[0]
print('Source1', src)
assert (type(src) == PointSource)
assert (np.abs(src.pos.ra - 244.77828) < 0.00001)
assert (np.abs(src.pos.dec - 12.07250) < 0.00001)
# Check that we can run again, using that checkpoint file.
main(args=[
'--brick', '2447p120', '--zoom', '1020', '1070', '2775', '2815',
'--no-wise', '--force-all', '--no-write', '--survey-dir', surveydir,
'--outdir', outdir, '--checkpoint', checkpoint_fn,
'--checkpoint-period', '1', '--threads', '2'
])
# Assert...... something?
# Test --checkpoint without --threads
main(args=[
'--brick', '2447p120', '--zoom', '1020', '1070', '2775', '2815',
'--no-wise', '--force-all', '--no-write', '--survey-dir', surveydir,
'--outdir', outdir, '--checkpoint', checkpoint_fn,
'--checkpoint-period', '1'
])
# From Kaylan's Bootes pre-DR4 run
# surveydir2 = os.path.join(os.path.dirname(__file__), 'mzlsbass3')
# main(args=['--brick', '2173p350', '--zoom', '100', '200', '100', '200',
# '--no-wise', '--force-all', '--no-write',
# '--survey-dir', surveydir2,
# '--outdir', 'out-mzlsbass3'] + extra_args)
# With plots!
main(args=[
'--brick', '2447p120', '--zoom', '1020', '1070', '2775', '2815',
'--no-wise', '--force-all', '--no-write', '--survey-dir', surveydir,
'--outdir', 'out-testcase3', '--plots', '--nblobs', '1'
])
def main(survey=None, opt=None):
'''Driver function for forced photometry of individual DECam images.
'''
if opt is None:
parser = get_parser()
opt = parser.parse_args()
Time.add_measurement(MemMeas)
t0 = Time()
if os.path.exists(opt.outfn):
print('Ouput file exists:', opt.outfn)
sys.exit(0)
if not opt.forced:
opt.apphot = True
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)
# Try parsing filename as exposure number.
try:
expnum = int(opt.filename)
opt.filename = None
except:
# make this 'None' for survey.find_ccds()
expnum = None
# Try parsing HDU number
try:
opt.hdu = int(opt.hdu)
ccdname = None
except:
ccdname = opt.hdu
opt.hdu = -1
if survey is None:
survey = LegacySurveyData()
if opt.filename is not None and opt.hdu >= 0:
# Read metadata from file
T = exposure_metadata([opt.filename], hdus=[opt.hdu])
print('Metadata:')
T.about()
else:
# Read metadata from survey-ccds.fits table
T = survey.find_ccds(expnum=expnum, ccdname=ccdname)
print(len(T), 'with expnum', expnum, 'and CCDname', ccdname)
if opt.hdu >= 0:
T.cut(T.image_hdu == opt.hdu)
print(len(T), 'with HDU', opt.hdu)
if opt.filename is not None:
T.cut(np.array([f.strip() == opt.filename for f in T.image_filename]))
print(len(T), 'with filename', opt.filename)
assert(len(T) == 1)
ccd = T[0]
im = survey.get_image_object(ccd)
tim = im.get_tractor_image(slc=zoomslice, pixPsf=True, splinesky=True,
constant_invvar=opt.constant_invvar)
print('Got tim:', tim)
print('Read image:', Time()-t0)
if opt.catfn in ['DR1', 'DR2', 'DR3']:
margin = 20
TT = []
chipwcs = tim.subwcs
bricks = bricks_touching_wcs(chipwcs, survey=survey)
for b in bricks:
# there is some overlap with this brick... read the catalog.
fn = survey.find_file('tractor', brick=b.brickname)
if not os.path.exists(fn):
print('WARNING: catalog', fn, 'does not exist. Skipping!')
continue
print('Reading', fn)
T = fits_table(fn)
ok,xx,yy = chipwcs.radec2pixelxy(T.ra, T.dec)
W,H = chipwcs.get_width(), chipwcs.get_height()
I = np.flatnonzero((xx >= -margin) * (xx <= (W+margin)) *
(yy >= -margin) * (yy <= (H+margin)))
T.cut(I)
print('Cut to', len(T), 'sources within image + margin')
# print('Brick_primary:', np.unique(T.brick_primary))
T.cut(T.brick_primary)
print('Cut to', len(T), 'on brick_primary')
T.cut((T.out_of_bounds == False) * (T.left_blob == False))
print('Cut to', len(T), 'on out_of_bounds and left_blob')
if len(T):
TT.append(T)
if len(TT) == 0:
print('No sources to photometer.')
return 0
T = merge_tables(TT, columns='fillzero')
T._header = TT[0]._header
del TT
# Fix up various failure modes:
# FixedCompositeGalaxy(pos=RaDecPos[240.51147402832561, 10.385488075518923], brightness=NanoMaggies: g=(flux -2.87), r=(flux -5.26), z=(flux -7.65), fracDev=FracDev(0.60177207), shapeExp=re=3.78351e-44, e1=9.30367e-13, e2=1.24392e-16, shapeDev=re=inf, e1=-0, e2=-0)
# -> convert to EXP
I = np.flatnonzero(np.array([((t.type == 'COMP') and
(not np.isfinite(t.shapedev_r)))
for t in T]))
if len(I):
print('Converting', len(I), 'bogus COMP galaxies to EXP')
for i in I:
T.type[i] = 'EXP'
# Same thing with the exp component.
# -> convert to DEV
I = np.flatnonzero(np.array([((t.type == 'COMP') and
(not np.isfinite(t.shapeexp_r)))
for t in T]))
if len(I):
print('Converting', len(I), 'bogus COMP galaxies to DEV')
for i in I:
T.type[i] = 'DEV'
if opt.write_cat:
T.writeto(opt.write_cat)
print('Wrote catalog to', opt.write_cat)
else:
T = fits_table(opt.catfn)
surveydir = survey.get_survey_dir()
del survey
cat = read_fits_catalog(T)
# print('Got cat:', cat)
print('Read catalog:', Time()-t0)
print('Forced photom...')
opti = None
forced_kwargs = {}
if opt.ceres:
from tractor.ceres_optimizer import CeresOptimizer
B = 8
opti = CeresOptimizer(BW=B, BH=B)
#forced_kwargs.update(verbose=True)
for src in cat:
# Limit sizes of huge models
from tractor.galaxy import ProfileGalaxy
if isinstance(src, ProfileGalaxy):
px,py = tim.wcs.positionToPixel(src.getPosition())
h = src._getUnitFluxPatchSize(tim, px, py, tim.modelMinval)
MAXHALF = 128
if h > MAXHALF:
print('halfsize', h,'for',src,'-> setting to',MAXHALF)
src.halfsize = MAXHALF
tr = Tractor([tim], cat, optimizer=opti)
tr.freezeParam('images')
for src in cat:
src.freezeAllBut('brightness')
src.getBrightness().freezeAllBut(tim.band)
disable_galaxy_cache()
F = fits_table()
F.brickid = T.brickid
F.brickname = T.brickname
F.objid = T.objid
F.filter = np.array([tim.band] * len(T))
F.mjd = np.array([tim.primhdr['MJD-OBS']] * len(T))
F.exptime = np.array([tim.primhdr['EXPTIME']] * len(T)).astype(np.float32)
ok,x,y = tim.sip_wcs.radec2pixelxy(T.ra, T.dec)
F.x = (x-1).astype(np.float32)
F.y = (y-1).astype(np.float32)
if opt.forced:
if opt.plots is None:
forced_kwargs.update(wantims=False)
R = tr.optimize_forced_photometry(variance=True, fitstats=True,
shared_params=False, priors=False, **forced_kwargs)
if opt.plots:
(data,mod,ie,chi,roi) = R.ims1[0]
ima = tim.ima
imchi = dict(interpolation='nearest', origin='lower', vmin=-5, vmax=5)
plt.clf()
plt.imshow(data, **ima)
plt.title('Data: %s' % tim.name)
ps.savefig()
plt.clf()
plt.imshow(mod, **ima)
plt.title('Model: %s' % tim.name)
ps.savefig()
plt.clf()
plt.imshow(chi, **imchi)
plt.title('Chi: %s' % tim.name)
ps.savefig()
F.flux = np.array([src.getBrightness().getFlux(tim.band)
for src in cat]).astype(np.float32)
F.flux_ivar = R.IV.astype(np.float32)
F.fracflux = R.fitstats.profracflux.astype(np.float32)
F.rchi2 = R.fitstats.prochi2 .astype(np.float32)
print('Forced photom:', Time()-t0)
if opt.apphot:
import photutils
img = tim.getImage()
ie = tim.getInvError()
with np.errstate(divide='ignore'):
imsigma = 1. / ie
imsigma[ie == 0] = 0.
apimg = []
apimgerr = []
# Aperture photometry locations
xxyy = np.vstack([tim.wcs.positionToPixel(src.getPosition()) for src in cat]).T
apxy = xxyy - 1.
apertures = apertures_arcsec / tim.wcs.pixel_scale()
print('Apertures:', apertures, 'pixels')
for rad in apertures:
aper = photutils.CircularAperture(apxy, rad)
p = photutils.aperture_photometry(img, aper, error=imsigma)
apimg.append(p.field('aperture_sum'))
apimgerr.append(p.field('aperture_sum_err'))
ap = np.vstack(apimg).T
ap[np.logical_not(np.isfinite(ap))] = 0.
F.apflux = ap.astype(np.float32)
ap = 1./(np.vstack(apimgerr).T)**2
ap[np.logical_not(np.isfinite(ap))] = 0.
F.apflux_ivar = ap.astype(np.float32)
print('Aperture photom:', Time()-t0)
program_name = sys.argv[0]
version_hdr = get_version_header(program_name, surveydir)
filename = getattr(ccd, 'image_filename')
if filename is None:
# HACK -- print only two directory names + filename of CPFILE.
fname = os.path.basename(im.imgfn)
d = os.path.dirname(im.imgfn)
d1 = os.path.basename(d)
d = os.path.dirname(d)
d2 = os.path.basename(d)
filename = os.path.join(d2, d1, fname)
print('Trimmed filename to', filename)
version_hdr.add_record(dict(name='CPFILE', value=filename, comment='CP file'))
version_hdr.add_record(dict(name='CPHDU', value=im.hdu, comment='CP ext'))
version_hdr.add_record(dict(name='CAMERA', value=ccd.camera, comment='Camera'))
version_hdr.add_record(dict(name='EXPNUM', value=im.expnum, comment='Exposure num'))
version_hdr.add_record(dict(name='CCDNAME', value=im.ccdname, comment='CCD name'))
version_hdr.add_record(dict(name='FILTER', value=tim.band, comment='Bandpass of this image'))
version_hdr.add_record(dict(name='EXPOSURE',
value='%s-%s-%s' % (ccd.camera, im.expnum, im.ccdname),
comment='Name of this image'))
keys = ['TELESCOP','OBSERVAT','OBS-LAT','OBS-LONG','OBS-ELEV',
'INSTRUME']
for key in keys:
if key in tim.primhdr:
version_hdr.add_record(dict(name=key, value=tim.primhdr[key]))
hdr = fitsio.FITSHDR()
units = {'exptime':'sec', 'flux':'nanomaggy', 'flux_ivar':'1/nanomaggy^2'}
columns = F.get_columns()
for i,col in enumerate(columns):
if col in units:
hdr.add_record(dict(name='TUNIT%i' % (i+1), value=units[col]))
outdir = os.path.dirname(opt.outfn)
if len(outdir):
trymakedirs(outdir)
fitsio.write(opt.outfn, None, header=version_hdr, clobber=True)
F.writeto(opt.outfn, header=hdr, append=True)
print('Wrote', opt.outfn)
if opt.save_model or opt.save_data:
hdr = fitsio.FITSHDR()
tim.getWcs().wcs.add_to_header(hdr)
if opt.save_model:
print('Getting model image...')
mod = tr.getModelImage(tim)
fitsio.write(opt.save_model, mod, header=hdr, clobber=True)
print('Wrote', opt.save_model)
if opt.save_data:
fitsio.write(opt.save_data, tim.getImage(), header=hdr, clobber=True)
print('Wrote', opt.save_data)
print('Finished forced phot:', Time()-t0)
return 0
def main():
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--catalog', help='Catalog to render')
parser.add_argument('--brick-coadd', help='Produce a coadd of the images overlapping the given brickname.')
parser.add_argument('--ccds', help='Use this table of CCDs')
parser.add_argument('--brick-wcs', help='File containing a WCS header describing the coadd WCS to render.')
parser.add_argument('--brick-wcs-ext', type=int, help='FITS file extension containing a WCS header describing the coadd WCS to render.')
parser.add_argument('--outlier-mask-brick', help='Comma-separated list of bricknames from which outlier masks should be read.')
parser.add_argument('--out', help='Filename pattern ("BAND" will be replaced by band name) of output images.')
parser.add_argument('--resid', help='Filename pattern ("BAND" will be replaced by band name) of residual images.')
parser.add_argument('--jpeg', help='Write RGB image to this filename')
parser.add_argument('--resid-jpeg', help='Write RGB residual image to this filename')
opt = parser.parse_args()
if opt.catalog is None:
print('Need catalog!')
return -1
cat = fits_table(opt.catalog)
if opt.ccds is None:
if opt.brick_coadd is None:
print('Need brick catalog!')
return -1
brickname = opt.brick_coadd
survey = LegacySurveyData()
if opt.brick_wcs is None:
print('FIXME')
return -1
else:
wcs = Tan(opt.brick_wcs, opt.brick_wcs_ext)
tcat = read_fits_catalog(cat)
if opt.ccds:
ccdfn = opt.ccds
else:
ccdfn = survey.find_file('ccds-table', brick=brickname)
print('Reading', ccdfn)
ccds = fits_table(ccdfn)
H,W = wcs.shape
targetrd = np.array([wcs.pixelxy2radec(x,y) for x,y in
[(1,1),(W,1),(W,H),(1,H),(1,1)]])
tims = []
for ccd in ccds:
im = survey.get_image_object(ccd)
#slc = slice(ccd.ccd_y0, ccd.ccd_y1), slice(ccd.ccd_x0, ccd.ccd_x1)
#tim = im.get_tractor_image(slc=slc)
tim = im.get_tractor_image(radecpoly=targetrd)
print('Read', tim)
tims.append(tim)
if opt.outlier_mask_brick is not None:
bricks = opt.outlier_mask_brick.split(',')
for b in bricks:
print('Reading outlier mask for brick', b,
':', survey.find_file('outliers_mask', brick=b, output=False))
ok = read_outlier_mask_file(survey, tims, b,
subimage=True, output=False)
tr = Tractor(tims, tcat)
mods = list(tr.getModelImages())
bands = 'grz'
def write_model(band, cowimg=None, cowmod=None, **kwargs):
if cowmod is None:
print('No model for', band)
return
outfn = opt.out.replace('BAND', band)
fitsio.write(outfn, cowmod, clobber=True)
print('Wrote model for', band, 'to', outfn)
if opt.resid:
outfn = opt.resid.replace('BAND', band)
fitsio.write(outfn, cowimg - cowmod, clobber=True)
print('Wrote resid for', band, 'to', outfn)
C = make_coadds(tims, bands, wcs, mods=mods,
callback=write_model)
if opt.jpeg:
from legacypipe.survey import get_rgb
import pylab as plt
plt.imsave(opt.jpeg, get_rgb(C.comods, bands), origin='lower')
if opt.resid_jpeg:
from legacypipe.survey import get_rgb
import pylab as plt
plt.imsave(opt.resid_jpeg,
get_rgb([im-mod for im,mod in zip(C.coimgs, C.comods)], bands),
origin='lower')
def main(survey=None, opt=None):
'''Driver function for forced photometry of individual Legacy
Survey images.
'''
if opt is None:
parser = get_parser()
opt = parser.parse_args()
Time.add_measurement(MemMeas)
t0 = Time()
if os.path.exists(opt.outfn):
print('Ouput file exists:', opt.outfn)
sys.exit(0)
if opt.derivs and opt.agn:
print('Sorry, can\'t do --derivs AND --agn')
sys.exit(0)
if not opt.forced:
opt.apphot = True
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:
import pylab as plt
from astrometry.util.plotutils import PlotSequence
ps = PlotSequence(opt.plots)
# Try parsing filename as exposure number.
try:
expnum = int(opt.expnum)
filename = None
except:
# make this 'None' for survey.find_ccds()
expnum = None
filename = opt.expnum
# Try parsing HDU number
try:
hdu = int(opt.ccdname)
ccdname = None
except:
hdu = -1
ccdname = opt.ccdname
if survey is None:
survey = LegacySurveyData()
catsurvey = survey
if opt.catalog_dir is not None:
catsurvey = LegacySurveyData(survey_dir=opt.catalog_dir)
if filename is not None and hdu >= 0:
# FIXME -- try looking up in CCDs file?
# Read metadata from file
print('Warning: faking metadata from file contents')
T = exposure_metadata([filename], hdus=[hdu])
print('Metadata:')
T.about()
if not 'ccdzpt' in T.columns():
phdr = fitsio.read_header(filename)
T.ccdzpt = np.array([phdr['MAGZERO']])
print('WARNING: using header MAGZERO')
T.ccdraoff = np.array([0.])
T.ccddecoff = np.array([0.])
print('WARNING: setting CCDRAOFF, CCDDECOFF to zero.')
else:
# Read metadata from survey-ccds.fits table
T = survey.find_ccds(expnum=expnum, ccdname=ccdname)
print(len(T), 'with expnum', expnum, 'and CCDname', ccdname)
if hdu >= 0:
T.cut(T.image_hdu == hdu)
print(len(T), 'with HDU', hdu)
if filename is not None:
T.cut(np.array([f.strip() == filename for f in T.image_filename]))
print(len(T), 'with filename', filename)
if opt.camera is not None:
T.cut(T.camera == opt.camera)
print(len(T), 'with camera', opt.camera)
assert (len(T) == 1)
ccd = T[0]
im = survey.get_image_object(ccd)
if opt.do_calib:
#from legacypipe.survey import run_calibs
#kwa = dict(splinesky=True)
#run_calibs((im, kwa))
im.run_calibs(splinesky=True)
tim = im.get_tractor_image(slc=zoomslice,
pixPsf=True,
splinesky=True,
constant_invvar=opt.constant_invvar,
hybridPsf=opt.hybrid_psf,
normalizePsf=opt.normalize_psf)
print('Got tim:', tim)
print('Read image:', Time() - t0)
if opt.catfn in ['DR1', 'DR2', 'DR3', 'DR5', 'DR']:
margin = 20
TT = []
chipwcs = tim.subwcs
bricks = bricks_touching_wcs(chipwcs, survey=catsurvey)
for b in bricks:
# there is some overlap with this brick... read the catalog.
fn = catsurvey.find_file('tractor', brick=b.brickname)
if not os.path.exists(fn):
print('WARNING: catalog', fn, 'does not exist. Skipping!')
continue
print('Reading', fn)
T = fits_table(fn)
ok, xx, yy = chipwcs.radec2pixelxy(T.ra, T.dec)
W, H = chipwcs.get_width(), chipwcs.get_height()
I = np.flatnonzero((xx >= -margin) * (xx <= (W + margin)) *
(yy >= -margin) * (yy <= (H + margin)))
T.cut(I)
print('Cut to', len(T), 'sources within image + margin')
# print('Brick_primary:', np.unique(T.brick_primary))
T.cut(T.brick_primary)
print('Cut to', len(T), 'on brick_primary')
for col in ['out_of_bounds', 'left_blob']:
if col in T.get_columns():
T.cut(T.get(col) == False)
print('Cut to', len(T), 'on', col)
if len(T):
TT.append(T)
if len(TT) == 0:
print('No sources to photometer.')
return 0
T = merge_tables(TT, columns='fillzero')
T._header = TT[0]._header
del TT
print('Total of', len(T), 'catalog sources')
# Fix up various failure modes:
# FixedCompositeGalaxy(pos=RaDecPos[240.51147402832561, 10.385488075518923], brightness=NanoMaggies: g=(flux -2.87), r=(flux -5.26), z=(flux -7.65), fracDev=FracDev(0.60177207), shapeExp=re=3.78351e-44, e1=9.30367e-13, e2=1.24392e-16, shapeDev=re=inf, e1=-0, e2=-0)
# -> convert to EXP
I = np.flatnonzero(
np.array([((t.type == 'COMP') and (not np.isfinite(t.shapedev_r)))
for t in T]))
if len(I):
print('Converting', len(I), 'bogus COMP galaxies to EXP')
for i in I:
T.type[i] = 'EXP'
# Same thing with the exp component.
# -> convert to DEV
I = np.flatnonzero(
np.array([((t.type == 'COMP') and (not np.isfinite(t.shapeexp_r)))
for t in T]))
if len(I):
print('Converting', len(I), 'bogus COMP galaxies to DEV')
for i in I:
T.type[i] = 'DEV'
if opt.write_cat:
T.writeto(opt.write_cat)
print('Wrote catalog to', opt.write_cat)
else:
T = fits_table(opt.catfn)
surveydir = survey.get_survey_dir()
del survey
kwargs = {}
cols = T.get_columns()
if 'flux_r' in cols and not 'decam_flux_r' in cols:
kwargs.update(fluxPrefix='')
cat = read_fits_catalog(T, **kwargs)
# Replace the brightness (which will be a NanoMaggies with g,r,z)
# with a NanoMaggies with this image's band only.
for src in cat:
src.brightness = NanoMaggies(**{tim.band: 1.})
print('Read catalog:', Time() - t0)
print('Forced photom...')
F = run_forced_phot(cat,
tim,
ceres=opt.ceres,
derivs=opt.derivs,
fixed_also=True,
agn=opt.agn,
do_forced=opt.forced,
do_apphot=opt.apphot,
ps=ps)
t0 = Time()
F.release = T.release
F.brickid = T.brickid
F.brickname = T.brickname
F.objid = T.objid
F.camera = np.array([ccd.camera] * len(F))
F.expnum = np.array([im.expnum] * len(F)).astype(np.int32)
F.ccdname = np.array([im.ccdname] * len(F))
# "Denormalizing"
F.filter = np.array([tim.band] * len(T))
F.mjd = np.array([tim.primhdr['MJD-OBS']] * len(T))
F.exptime = np.array([tim.primhdr['EXPTIME']] * len(T)).astype(np.float32)
F.ra = T.ra
F.dec = T.dec
ok, x, y = tim.sip_wcs.radec2pixelxy(T.ra, T.dec)
F.x = (x - 1).astype(np.float32)
F.y = (y - 1).astype(np.float32)
h, w = tim.shape
F.mask = tim.dq[np.clip(np.round(F.y).astype(int), 0, h - 1),
np.clip(np.round(F.x).astype(int), 0, w - 1)]
program_name = sys.argv[0]
version_hdr = get_version_header(program_name, surveydir)
filename = getattr(ccd, 'image_filename')
if filename is None:
# HACK -- print only two directory names + filename of CPFILE.
fname = os.path.basename(im.imgfn)
d = os.path.dirname(im.imgfn)
d1 = os.path.basename(d)
d = os.path.dirname(d)
d2 = os.path.basename(d)
filename = os.path.join(d2, d1, fname)
print('Trimmed filename to', filename)
version_hdr.add_record(
dict(name='CPFILE', value=filename, comment='CP file'))
version_hdr.add_record(dict(name='CPHDU', value=im.hdu, comment='CP ext'))
version_hdr.add_record(
dict(name='CAMERA', value=ccd.camera, comment='Camera'))
version_hdr.add_record(
dict(name='EXPNUM', value=im.expnum, comment='Exposure num'))
version_hdr.add_record(
dict(name='CCDNAME', value=im.ccdname, comment='CCD name'))
version_hdr.add_record(
dict(name='FILTER', value=tim.band, comment='Bandpass of this image'))
version_hdr.add_record(
dict(name='EXPOSURE',
value='%s-%s-%s' % (ccd.camera, im.expnum, im.ccdname),
comment='Name of this image'))
keys = [
'TELESCOP', 'OBSERVAT', 'OBS-LAT', 'OBS-LONG', 'OBS-ELEV', 'INSTRUME'
]
for key in keys:
if key in tim.primhdr:
version_hdr.add_record(dict(name=key, value=tim.primhdr[key]))
hdr = fitsio.FITSHDR()
units = {
'exptime': 'sec',
'flux': 'nanomaggy',
'flux_ivar': '1/nanomaggy^2'
}
columns = F.get_columns()
for i, col in enumerate(columns):
if col in units:
hdr.add_record(dict(name='TUNIT%i' % (i + 1), value=units[col]))
outdir = os.path.dirname(opt.outfn)
if len(outdir):
trymakedirs(outdir)
fitsio.write(opt.outfn, None, header=version_hdr, clobber=True)
F.writeto(opt.outfn, header=hdr, append=True)
print('Wrote', opt.outfn)
if opt.save_model or opt.save_data:
hdr = fitsio.FITSHDR()
tim.getWcs().wcs.add_to_header(hdr)
if opt.save_model:
print('Getting model image...')
tr = Tractor([tim], cat)
mod = tr.getModelImage(tim)
fitsio.write(opt.save_model, mod, header=hdr, clobber=True)
print('Wrote', opt.save_model)
if opt.save_data:
fitsio.write(opt.save_data, tim.getImage(), header=hdr, clobber=True)
print('Wrote', opt.save_data)
print('Finished forced phot:', Time() - t0)
return 0
