def getbrickfiles(brickname=None):
survey = LegacySurveyData()
brickinfo = survey.get_brick_by_name(brickname)
brickwcs = wcs_for_brick(brickinfo)
ccdinfo = survey.ccds_touching_wcs(brickwcs)
nccd = len(ccdinfo)
calibdir = survey.get_calib_dir()
imagedir = survey.survey_dir
# Construct image file names and the calibration file names.
expnum = ccdinfo.expnum
ccdname = ccdinfo.ccdname
psffiles = list()
skyfiles = list()
imagefiles = list()
for ccd in ccdinfo:
info = survey.get_image_object(ccd)
for attr in ['imgfn', 'dqfn', 'wtfn']:
fn = getattr(info, attr).replace(imagedir+'/', '')
#if '160108_073601' in fn:
# pdb.set_trace()
imagefiles.append(fn)
psffiles.append(info.psffn.replace(calibdir, 'calib'))
skyfiles.append(info.splineskyfn.replace(calibdir, 'calib'))
#for ii in range(nccd):
#exp = '{0:08d}'.format(expnum[ii])
#rootfile = os.path.join(exp[:5], exp, 'decam-'+exp+'-'+ccdname[ii]+'.fits')
#psffiles.append(os.path.join('calib', 'decam', 'psfex', rootfile))
#skyfiles.append(os.path.join('calib', 'decam', 'splinesky', rootfile))
#imagefiles.append(os.path.join('images', str(np.core.defchararray.strip(ccdinfo.image_filename[ii]))))
#print(np.array(imagefiles))
#print(np.array(psffiles))
#print(np.array(skyfiles))
return imagefiles, psffiles, skyfiles
def main():
"""Main program.
"""
import argparse
parser = argparse.ArgumentParser(description="This script is used to produce lists of CCDs or bricks, for production purposes (building qdo queue, eg).")
parser.add_argument('--calibs', action='store_true',
help='Output CCDs that need to be calibrated.')
parser.add_argument('--nper', type=int, default=None,
help='Batch N calibs per line')
parser.add_argument('--forced', action='store_true',
help='Output forced-photometry commands')
parser.add_argument('--lsb', action='store_true',
help='Output Low-Surface-Brightness commands')
parser.add_argument('--touching', action='store_true',
help='Cut to only CCDs touching selected bricks')
parser.add_argument('--near', action='store_true',
help='Quick cut to only CCDs near selected bricks')
parser.add_argument('--check', action='store_true',
help='Check which calibrations actually need to run.')
parser.add_argument('--check-coadd', action='store_true',
help='Check which caoadds actually need to run.')
parser.add_argument('--out', help='Output filename for calibs, default %(default)s',
default='jobs')
parser.add_argument('--command', action='store_true',
help='Write out full command-line to run calib')
parser.add_argument('--opt', help='With --command, extra options to add')
parser.add_argument('--maxdec', type=float, help='Maximum Dec to run')
parser.add_argument('--mindec', type=float, help='Minimum Dec to run')
parser.add_argument('--region', help='Region to select')
parser.add_argument('--bricks', help='Set bricks.fits file to load')
parser.add_argument('--ccds', help='Set ccds.fits file to load')
parser.add_argument('--ignore_cuts', action='store_true',default=False,help='no photometric or blacklist cuts')
parser.add_argument('--save_to_fits', action='store_true',default=False,help='save cut brick,ccd to fits table')
parser.add_argument('--name', action='store',default='dr3',help='save with this suffix, e.g. refers to ccds table')
parser.add_argument('--delete-sky', action='store_true',
help='Delete any existing sky calibration files')
parser.add_argument('--delete-pvastrom', action='store_true',
help='Delete any existing PV WCS calibration files')
parser.add_argument('--write-ccds', help='Write CCDs list as FITS table?')
parser.add_argument('--brickq', type=int, default=None,
help='Queue only bricks with the given "brickq" value [0 to 3]')
parser.add_argument('--brickq-deps', action='store_true', default=False,
help='Queue bricks directly using qdo API, setting brickq dependencies')
parser.add_argument('--queue', default='bricks',
help='With --brickq-deps, the QDO queue name to use')
opt = parser.parse_args()
survey = LegacySurveyData()
if opt.bricks is not None:
B = fits_table(opt.bricks)
log('Read', len(B), 'from', opt.bricks)
else:
B = survey.get_bricks()
if opt.ccds is not None:
T = fits_table(opt.ccds)
log('Read', len(T), 'from', opt.ccds)
else:
T = survey.get_ccds()
log(len(T), 'CCDs')
T.index = np.arange(len(T))
if opt.ignore_cuts == False:
I = survey.photometric_ccds(T)
print(len(I), 'CCDs are photometric')
T.cut(I)
I = survey.apply_blacklist(T)
print(len(I), 'CCDs are not blacklisted')
T.cut(I)
print(len(T), 'CCDs remain')
# I,J,d,counts = match_radec(B.ra, B.dec, T.ra, T.dec, 0.2, nearest=True, count=True)
# plt.clf()
# plt.hist(counts, counts.max()+1)
# plt.savefig('bricks.png')
# B.cut(I[counts >= 9])
# plt.clf()
# plt.plot(B.ra, B.dec, 'b.')
# #plt.scatter(B.ra[I], B.dec[I], c=counts)
# plt.savefig('bricks2.png')
# DES Stripe82
#rlo,rhi = 350.,360.
# rlo,rhi = 300., 10.
# dlo,dhi = -6., 4.
# TINY bit
#rlo,rhi = 350.,351.1
#dlo,dhi = 0., 1.1
# EDR+
# 860 bricks
# ~10,000 CCDs
#rlo,rhi = 239,246
#dlo,dhi = 5, 13
# DR1
#rlo,rhi = 0, 360
# part 1
#dlo,dhi = 25, 40
# part 2
#dlo,dhi = 20,25
# part 3
#dlo,dhi = 15,20
# part 4
#dlo,dhi = 10,15
# part 5
#dlo,dhi = 5,10
# the rest
#dlo,dhi = -11, 5
#dlo,dhi = 15,25.5
dlo,dhi = -25, 40
rlo,rhi = 0, 360
# Arjun says 3x3 coverage area is roughly
# RA=240-252 DEC=6-12 (but not completely rectangular)
# COSMOS
#rlo,rhi = 148.9, 151.2
#dlo,dhi = 0.9, 3.5
# A nice well-behaved region (EDR2/3)
# rlo,rhi = 243.6, 244.6
# dlo,dhi = 8.1, 8.6
# 56 bricks, ~725 CCDs
#B.cut((B.ra > 240) * (B.ra < 242) * (B.dec > 5) * (B.dec < 7))
# 240 bricks, ~3000 CCDs
#B.cut((B.ra > 240) * (B.ra < 244) * (B.dec > 5) * (B.dec < 9))
# 535 bricks, ~7000 CCDs
#B.cut((B.ra > 240) * (B.ra < 245) * (B.dec > 5) * (B.dec < 12))
if opt.region in ['test1', 'test2', 'test3', 'test4']:
nm = dict(test1='2446p115', # weird stuff around bright star
test2='1183p292', # faint sources around bright galaxy
test3='3503p005', # DES
test4='1163p277', # Pollux
)[opt.region]
B.cut(np.flatnonzero(np.array([s == nm for s in B.brickname])))
log('Cut to', len(B), 'bricks')
log(B.ra, B.dec)
dlo,dhi = -90,90
rlo,rhi = 0, 360
elif opt.region == 'edr':
# EDR:
# 535 bricks, ~7000 CCDs
rlo,rhi = 240,245
dlo,dhi = 5, 12
elif opt.region == 'edrplus':
rlo,rhi = 235,248
dlo,dhi = 5, 15
elif opt.region == 'edr-south':
rlo,rhi = 240,245
dlo,dhi = 5, 10
elif opt.region == 'cosmos1':
# 16 bricks in the core of the COSMOS field.
rlo,rhi = 149.75, 150.75
dlo,dhi = 1.6, 2.6
elif opt.region == 'pristine':
# Stream?
rlo,rhi = 240,250
dlo,dhi = 10,15
elif opt.region == 'des':
dlo, dhi = -6., 4.
rlo, rhi = 317., 7.
T.cut(np.flatnonzero(np.array(['CPDES82' in fn for fn in T.cpimage])))
log('Cut to', len(T), 'CCDs with "CPDES82" in filename')
elif opt.region == 'subdes':
rlo,rhi = 320., 360.
dlo,dhi = -1.25, 1.25
elif opt.region == 'northwest':
rlo,rhi = 240,360
dlo,dhi = 20,40
elif opt.region == 'north':
rlo,rhi = 120,240
dlo,dhi = 20,40
elif opt.region == 'northeast':
rlo,rhi = 0,120
dlo,dhi = 20,40
elif opt.region == 'southwest':
rlo,rhi = 240,360
dlo,dhi = -20,0
elif opt.region == 'south':
rlo,rhi = 120,240
dlo,dhi = -20,0
elif opt.region == 'southeast':
rlo,rhi = 0,120
dlo,dhi = -20,0
elif opt.region == 'southsoutheast':
rlo,rhi = 0,120
dlo,dhi = -20,-10
elif opt.region == 'midwest':
rlo,rhi = 240,360
dlo,dhi = 0,20
elif opt.region == 'middle':
rlo,rhi = 120,240
dlo,dhi = 0,20
elif opt.region == 'mideast':
rlo,rhi = 0,120
dlo,dhi = 0,20
elif opt.region == 'grz':
# Bricks with grz coverage.
# Be sure to use --bricks survey-bricks-in-dr1.fits
# which has_[grz] columns.
B.cut((B.has_g == 1) * (B.has_r == 1) * (B.has_z == 1))
log('Cut to', len(B), 'bricks with grz coverage')
elif opt.region == 'nogrz':
# Bricks without grz coverage.
# Be sure to use --bricks survey-bricks-in-dr1.fits
# which has_[grz] columns.
B.cut(np.logical_not((B.has_g == 1) * (B.has_r == 1) * (B.has_z == 1)))
log('Cut to', len(B), 'bricks withOUT grz coverage')
elif opt.region == 'deep2':
rlo,rhi = 250,260
dlo,dhi = 30,35
elif opt.region == 'deep2f3':
rlo,rhi = 351.25, 353.75
dlo,dhi = 0, 0.5
elif opt.region == 'virgo':
rlo,rhi = 185,190
dlo,dhi = 10, 15
elif opt.region == 'virgo2':
rlo,rhi = 182,192
dlo,dhi = 8, 18
elif opt.region == 'lsb':
rlo,rhi = 147.2, 147.8
dlo,dhi = -0.4, 0.4
elif opt.region == 'eboss-elg':
# RA -45 to +45
# Dec -5 to +7
rlo,rhi = 315., 45.
dlo,dhi = -5., 7.
elif opt.region == 'eboss-ngc':
# NGC ELGs
# RA 115 to 175
# Dec 15 to 30
rlo,rhi = 115., 175.
dlo,dhi = 15., 30.
elif opt.region == 'mzls':
dlo,dhi = 30., 90.
elif opt.region == 'dr4-bootes':
# https://desi.lbl.gov/trac/wiki/DecamLegacy/DR4sched
#dlo,dhi = 34., 35.
#rlo,rhi = 209.5, 210.5
dlo,dhi = 33., 36.
rlo,rhi = 216.5, 219.5
if opt.mindec is not None:
dlo = opt.mindec
if opt.maxdec is not None:
dhi = opt.maxdec
if rlo < rhi:
B.cut((B.ra >= rlo) * (B.ra <= rhi) *
(B.dec >= dlo) * (B.dec <= dhi))
else: # RA wrap
B.cut(np.logical_or(B.ra >= rlo, B.ra <= rhi) *
(B.dec >= dlo) * (B.dec <= dhi))
log(len(B), 'bricks in range')
for name in B.get('brickname'):
print(name)
B.writeto('bricks-cut.fits')
I,J,d = match_radec(B.ra, B.dec, T.ra, T.dec, survey.bricksize)
keep = np.zeros(len(B), bool)
for i in I:
keep[i] = True
B.cut(keep)
log('Cut to', len(B), 'bricks near CCDs')
plt.clf()
plt.plot(B.ra, B.dec, 'b.')
plt.title('DR3 bricks')
plt.axis([360, 0, np.min(B.dec)-1, np.max(B.dec)+1])
plt.savefig('bricks.png')
if opt.brickq is not None:
B.cut(B.brickq == opt.brickq)
log('Cut to', len(B), 'with brickq =', opt.brickq)
if opt.touching:
keep = np.zeros(len(T), bool)
for j in J:
keep[j] = True
T.cut(keep)
log('Cut to', len(T), 'CCDs near bricks')
# Aside -- how many near DR1=1 CCDs?
if False:
T2 = D.get_ccds()
log(len(T2), 'CCDs')
T2.cut(T2.dr1 == 1)
log(len(T2), 'CCDs marked DR1=1')
log(len(B), 'bricks in range')
I,J,d = match_radec(B.ra, B.dec, T2.ra, T2.dec, survey.bricksize)
keep = np.zeros(len(B), bool)
for i in I:
keep[i] = True
B2 = B[keep]
log('Total of', len(B2), 'bricks near CCDs with DR1=1')
for band in 'grz':
Tb = T2[T2.filter == band]
log(len(Tb), 'in filter', band)
I,J,d = match_radec(B2.ra, B2.dec, Tb.ra, Tb.dec, survey.bricksize)
good = np.zeros(len(B2), np.uint8)
for i in I:
good[i] = 1
B2.set('has_' + band, good)
B2.writeto('survey-bricks-in-dr1.fits')
sys.exit(0)
# sort by dec decreasing
#B.cut(np.argsort(-B.dec))
# RA increasing
B.cut(np.argsort(B.ra))
for b in B:
if opt.check:
fn = 'dr1n/tractor/%s/tractor-%s.fits' % (b.brickname[:3], b.brickname)
if os.path.exists(fn):
print('Exists:', fn, file=sys.stderr)
continue
if opt.check_coadd:
fn = 'dr1b/coadd/%s/%s/decals-%s-image.jpg' % (b.brickname[:3], b.brickname, b.brickname)
if os.path.exists(fn):
print('Exists:', fn, file=sys.stderr)
continue
print(b.brickname)
if opt.save_to_fits:
assert(opt.touching)
# Write cut tables to file
for tab,typ in zip([B,T],['bricks','ccds']):
fn='%s-%s-cut.fits' % (typ,opt.name)
if os.path.exists(fn):
os.remove(fn)
tab.writeto(fn)
print('Wrote %s' % fn)
# Write text files listing ccd and filename names
nm1,nm2= 'ccds-%s.txt'% opt.name,'filenames-%s.txt' % opt.name
if os.path.exists(nm1):
os.remove(nm1)
if os.path.exists(nm2):
os.remove(nm2)
f1,f2=open(nm1,'w'),open(nm2,'w')
fns= list(set(T.get('image_filename')))
for fn in fns:
f2.write('%s\n' % fn.strip())
for ti in T:
f1.write('%s\n' % ti.get('image_filename').strip())
f1.close()
f2.close()
print('Wrote *-names.txt')
if opt.brickq_deps:
import qdo
from legacypipe.survey import on_bricks_dependencies
#... find Queue...
q = qdo.connect(opt.queue, create_ok=True)
print('Connected to QDO queue', opt.queue, q)
brick_to_task = dict()
I = survey.photometric_ccds(T)
print(len(I), 'CCDs are photometric')
T.cut(I)
I = survey.apply_blacklist(T)
print(len(I), 'CCDs are not blacklisted')
T.cut(I)
print(len(T), 'CCDs remaining')
T.wra = T.ra + (T.ra > 180) * -360
wra = rlo - 360
plt.clf()
plt.plot(T.wra, T.dec, 'b.')
ax = [wra, rhi, dlo, dhi]
plt.axis(ax)
plt.title('CCDs')
plt.savefig('q-ccds.png')
B.wra = B.ra + (B.ra > 180) * -360
# this slight overestimate (for DECam images) is fine
radius = 0.3
Iccds = match_radec(B.ra, B.dec, T.ra, T.dec, radius,
indexlist=True)
ikeep = []
for ib,(b,Iccd) in enumerate(zip(B, Iccds)):
if Iccd is None or len(Iccd) == 0:
print('No matched CCDs to brick', b.brickname)
continue
wcs = wcs_for_brick(b)
cI = ccds_touching_wcs(wcs, T[np.array(Iccd)])
print(len(cI), 'CCDs touching brick', b.brickname)
if len(cI) == 0:
continue
ikeep.append(ib)
B.cut(np.array(ikeep))
print('Cut to', len(B), 'bricks touched by CCDs')
for brickq in range(4):
I = np.flatnonzero(B.brickq == brickq)
print(len(I), 'bricks with brickq =', brickq)
J = np.flatnonzero(B.brickq < brickq)
preB = B[J]
reqs = []
if brickq > 0:
for b in B[I]:
# find brick dependencies
brickdeps = on_bricks_dependencies(b, survey, bricks=preB)
# convert to task ids
taskdeps = [brick_to_task.get(b.brickname,None) for b in brickdeps]
# If we dropped a dependency brick from a previous brickq because
# of no overlapping CCDs, it won't appear in the brick_to_task map.
taskdeps = [t for t in taskdeps if t is not None]
reqs.append(taskdeps)
plt.clf()
plt.plot(B.wra, B.dec, '.', color='0.5')
plt.plot(B.wra[I], B.dec[I], 'b.')
plt.axis(ax)
plt.title('Bricks: brickq=%i' % brickq)
plt.savefig('q-bricks-%i.png' % brickq)
# submit to qdo queue
print('Queuing', len(B[I]), 'bricks')
if brickq == 0:
reqs = None
else:
assert(len(I) == len(reqs))
taskids = q.add_multiple(B.brickname[I], requires=reqs)
assert(len(taskids) == len(I))
print('Queued', len(taskids), 'bricks')
brick_to_task.update(dict(zip(B.brickname[I], taskids)))
if not (opt.calibs or opt.forced or opt.lsb):
sys.exit(0)
bands = 'grz'
log('Filters:', np.unique(T.filter))
T.cut(np.flatnonzero(np.array([f in bands for f in T.filter])))
log('Cut to', len(T), 'CCDs in filters', bands)
if opt.touching:
allI = set()
for b in B:
wcs = wcs_for_brick(b)
I = ccds_touching_wcs(wcs, T)
log(len(I), 'CCDs for brick', b.brickid, 'RA,Dec (%.2f, %.2f)' % (b.ra, b.dec))
if len(I) == 0:
continue
allI.update(I)
allI = list(allI)
allI.sort()
elif opt.near:
# Roughly brick radius + DECam image radius
radius = 0.35
allI,nil,nil = match_radec(T.ra, T.dec, B.ra, B.dec, radius, nearest=True)
else:
allI = np.arange(len(T))
if opt.write_ccds:
T[allI].writeto(opt.write_ccds)
log('Wrote', opt.write_ccds)
## Be careful here -- T has been cut; we want to write out T.index.
## 'allI' contains indices into T.
if opt.forced:
log('Writing forced-photometry commands to', opt.out)
f = open(opt.out,'w')
log('Total of', len(allI), 'CCDs')
for j,i in enumerate(allI):
expstr = '%08i' % T.expnum[i]
outfn = os.path.join('forced', expstr[:5], expstr,
'decam-%s-%s-forced.fits' %
(expstr, T.ccdname[i]))
imgfn = os.path.join(survey.survey_dir, 'images',
T.image_filename[i].strip())
if (not os.path.exists(imgfn) and
imgfn.endswith('.fz') and
os.path.exists(imgfn[:-3])):
imgfn = imgfn[:-3]
#f.write('python legacypipe/forced_photom_decam.py %s %i DR3 %s\n' %
# (imgfn, T.image_hdu[i], outfn))
f.write('python legacypipe/forced_photom_decam.py --apphot --constant-invvar %i %s DR3 %s\n' %
(T.expnum[i], T.ccdname[i], outfn))
f.close()
log('Wrote', opt.out)
sys.exit(0)
if opt.lsb:
log('Writing LSB commands to', opt.out)
f = open(opt.out,'w')
log('Total of', len(allI), 'CCDs')
for j,i in enumerate(allI):
exp = T.expnum[i]
ext = T.ccdname[i].strip()
outfn = 'lsb/lsb-%s-%s.fits' % (exp, ext)
f.write('python projects/desi/lsb.py --expnum %i --extname %s --out %s -F -n > lsb/lsb-%s-%s.log 2>&1\n' % (exp, ext, outfn, exp, ext))
f.close()
log('Wrote', opt.out)
sys.exit(0)
log('Writing calibs to', opt.out)
f = open(opt.out,'w')
log('Total of', len(allI), 'CCDs')
batch = []
def write_batch(f, batch, cmd):
if cmd is None:
cmd = ''
f.write(cmd + ' '.join(batch) + '\n')
cmd = None
if opt.command:
cmd = 'python legacypipe/run-calib.py '
if opt.opt is not None:
cmd += opt.opt + ' '
for j,i in enumerate(allI):
if opt.delete_sky or opt.delete_pvastrom:
log(j+1, 'of', len(allI))
im = survey.get_image_object(T[i])
if opt.delete_sky and os.path.exists(im.skyfn):
log(' deleting:', im.skyfn)
os.unlink(im.skyfn)
if opt.delete_pvastrom and os.path.exists(im.pvwcsfn):
log(' deleting:', im.pvwcsfn)
os.unlink(im.pvwcsfn)
if opt.check:
log(j+1, 'of', len(allI))
im = survey.get_image_object(T[i])
if not im.run_calibs(im, just_check=True):
log('Calibs for', im.expnum, im.ccdname, im.calname, 'already done')
continue
if opt.command:
s = '%i-%s' % (T.expnum[i], T.ccdname[i])
prefix = 'python legacypipe/run-calib.py ' + opt.opt
#('python legacypipe/run-calib.py --expnum %i --ccdname %s' %
# (T.expnum[i], T.ccdname[i]))
else:
s = '%i' % T.index[i]
prefix = ''
if j < 10:
print('Index', T.index[i], 'expnum', T.expnum[i], 'ccdname', T.ccdname[i],
'filename', T.image_filename[i])
if not opt.nper:
f.write(prefix + s + '\n')
else:
batch.append(s)
if len(batch) >= opt.nper:
write_batch(f, batch, cmd)
batch = []
if opt.check:
f.flush()
if len(batch):
write_batch(f, batch, cmd)
f.close()
log('Wrote', opt.out)
return 0
def main(args=None):
"""Main routine which parses the optional inputs."""
# Command line options
parser= get_parser()
args = parser.parse_args(args=args)
# Setup loggers
if args.verbose:
lvl = logging.DEBUG
else:
lvl = logging.INFO
logging.basicConfig(level=lvl, stream=sys.stdout) #,format='%(message)s')
log = logging.getLogger('decals_sim')
# Sort through args
log.info('decals_sim.py args={}'.format(args))
max_nobj=500
max_nchunk=1000
if args.ith_chunk is not None: assert(args.ith_chunk <= max_nchunk-1)
assert(args.nchunk <= max_nchunk)
assert(args.nobj <= max_nobj)
if args.ith_chunk is not None:
assert(args.nchunk == 1) #if choose a chunk, only doing 1 chunk
if args.nobj is None:
parser.print_help()
sys.exit(1)
brickname = args.brick
objtype = args.objtype.upper()
lobjtype = objtype.lower()
for obj in ('LRG', 'LSB', 'QSO'):
if objtype == obj:
log.warning('{} objtype not yet supported!'.format(objtype))
return 0
# Deal with the paths.
if 'DECALS_SIM_DIR' in os.environ:
decals_sim_dir = os.getenv('DECALS_SIM_DIR')
else:
decals_sim_dir = '.'
nobj = args.nobj
nchunk = args.nchunk
rand = np.random.RandomState(args.seed) # determines seed for all chunks
seeds = rand.random_integers(0,2**18, max_nchunk)
log.info('Object type = {}'.format(objtype))
log.info('Number of objects = {}'.format(nobj))
log.info('Number of chunks = {}'.format(nchunk))
# Optionally zoom into a portion of the brick
survey = LegacySurveyData()
brickinfo = survey.get_brick_by_name(brickname)
brickwcs = wcs_for_brick(brickinfo)
W, H, pixscale = brickwcs.get_width(), brickwcs.get_height(), brickwcs.pixel_scale()
log.info('Brick = {}'.format(brickname))
if args.zoom is not None: # See also runbrick.stage_tims()
(x0, x1, y0, y1) = args.zoom
W = x1 - x0
H = y1 - y0
brickwcs = brickwcs.get_subimage(x0, y0, W, H)
log.info('Zoom (pixel boundaries) = {}'.format(args.zoom))
targetrd = np.array([brickwcs.pixelxy2radec(x, y) for x, y in
[(1,1), (W,1), (W,H), (1,H), (1,1)]])
radec_center = brickwcs.radec_center()
log.info('RA, Dec center = {}'.format(radec_center))
log.info('Brick = {}'.format(brickname))
if args.ith_chunk is not None:
chunk_list= [args.ith_chunk]
else:
chunk_list= range(nchunk)
# Store args in dict for easy func passing
kwargs=dict(seeds=seeds,\
brickname=brickname, \
decals_sim_dir= decals_sim_dir,\
brickwcs= brickwcs, \
objtype=objtype,\
lobjtype=lobjtype,\
nobj=nobj,\
nchunk=nchunk,\
args=args)
# Create simulated catalogues and run Tractor
create_metadata(kwargs=kwargs)
# do chunks
for ith_chunk in chunk_list:
log.info('Working on chunk {:02d}/{:02d}'.format(ith_chunk,kwargs['nchunk']-1))
# Random ra,dec and source properties
create_ith_simcat(ith_chunk, d=kwargs)
# Run tractor
do_one_chunk(d=kwargs)
# Clean up output
do_ith_cleanup(ith_chunk=ith_chunk, d=kwargs)
log.info('All done!')
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('--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()
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)
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)
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,
splinesky=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?
mpsf = im.read_merged_psfex_model(old_calibs_ok=True)
if mpsf is not None:
T = fits_table(im.merged_psffn)
I, = np.nonzero(
(T.expnum == im.expnum) *
np.array([c.strip() == im.ccdname for c in T.ccdname]))
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)
psfex.fwhm = tim.psf_fwhm
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)
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)
if msky is not None:
T = fits_table(im.merged_splineskyfn)
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
skyhdr = fitsio.read_header(im.merged_splineskyfn)
if skyrow is not None:
print('Sky row:', skyrow)
else:
print('Sky:', sky)
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),
])
F.close()
skyout = outim.splineskyfn
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['PROCDATE'] = sky.procdate
primhdr['EXPNUM'] = ccd.expnum
primhdr['IMGDSUM'] = sky.datasum
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,
splinesky=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))
# 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))
wrote_masks = set()
for indir, outdir, tiles, band 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)
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,
splinesky=True,
hybridPsf=True,
old_calibs_ok=True)
print('Got output tim:', otim)
def main():
import optparse
parser = optparse.OptionParser()
parser.add_option('--zoom', '-z', type=int, action='append', default=[],
help='Add zoom level; default 13')
parser.add_option('--threads', type=int, default=1, help='Number of threads')
parser.add_option('--y0', type=int, default=0, help='Start row')
parser.add_option('--y1', type=int, default=None, help='End row (non-inclusive)')
parser.add_option('--x0', type=int, default=None)
parser.add_option('--x1', type=int, default=None)
parser.add_option('-x', type=int)
parser.add_option('-y', type=int)
parser.add_option('--mindec', type=float, default=None, help='Minimum Dec to run')
parser.add_option('--maxdec', type=float, default=None, help='Maximum Dec to run')
parser.add_option('--minra', type=float, default=None, help='Minimum RA to run')
parser.add_option('--maxra', type=float, default=None, help='Maximum RA to run')
parser.add_option('--near', action='store_true', help='Only run tiles near bricks')
parser.add_option('--near-ccds', action='store_true', help='Only run tiles near CCDs')
parser.add_option('--queue', action='store_true', default=False,
help='Print qdo commands')
parser.add_option('--all', action='store_true', help='Render all tiles')
parser.add_option('--ignore', action='store_true', help='Ignore cached tile files',
default=False)
parser.add_option('--top', action='store_true', help='Top levels of the pyramid')
parser.add_option('--split', action='store_true', help='For split layers (DR6+DR7), only compute one y strip per zoom level')
parser.add_option('--bricks-exist', action='store_true', help='Create table of bricks that exist')
parser.add_option('--kind', default='image')
parser.add_option('--scale', action='store_true', help='Scale images?')
parser.add_option('--bricks', action='store_true', help='Compute scaled brick tables?')
parser.add_option('--coadd', action='store_true', help='Create SDSS coadd images?')
parser.add_option('--grass', action='store_true', help='progress plot')
parser.add_option('--bands', default=None)
parser.add_option('-v', '--verbose', dest='verbose', action='count',
default=0, help='Make more verbose')
opt,args = parser.parse_args()
if opt.verbose == 0:
lvl = logging.INFO
else:
lvl = logging.DEBUG
logging.basicConfig(level=lvl, format='%(message)s', stream=sys.stdout)
mp = multiproc(opt.threads)
if opt.kind in ['sdss', 'sdss2']:
if opt.maxdec is None:
opt.maxdec = 90
if opt.mindec is None:
opt.mindec = -25
elif opt.kind in ['halpha', 'unwise-neo1', 'unwise-neo2', 'unwise-neo3', 'unwise-neo4', 'unwise-cat-model',
'galex', 'wssa', 'vlass', 'hsc']:
if opt.maxdec is None:
opt.maxdec = 90.
if opt.mindec is None:
opt.mindec = -90.
if opt.maxra is None:
opt.maxra = 360.
if opt.minra is None:
opt.minra = 0.
if opt.kind == 'galex' and opt.bands is None:
opt.bands = 'nf'
if 'unwise' in opt.kind and opt.bands is None:
opt.bands = '12'
if 'vlass' in opt.kind:
opt.bands = [1]
elif opt.kind == 'm33':
if opt.mindec is None:
opt.mindec = 30.40
if opt.maxdec is None:
opt.maxdec = 30.90
if opt.minra is None:
opt.minra = 23.29
if opt.maxra is None:
opt.maxra = 23.73
elif opt.kind in ['des-dr1']:
if opt.maxdec is None:
opt.maxdec = 6
if opt.mindec is None:
opt.mindec = -68
if opt.maxra is None:
opt.maxra = 360
if opt.minra is None:
opt.minra = 0
elif opt.kind in ['mzls+bass-dr4', 'mzls+bass-dr4-model', 'mzls+bass-dr4-resid']:
if opt.maxdec is None:
opt.maxdec = 90
if opt.mindec is None:
opt.mindec = 30
if opt.maxra is None:
opt.maxra = 54
if opt.minra is None:
opt.minra = 301
elif opt.kind in ['mzls+bass-dr6', 'mzls+bass-dr6-model', 'mzls+bass-dr6-resid']:
if opt.maxdec is None:
opt.maxdec = 90
if opt.mindec is None:
opt.mindec = -20
if opt.maxra is None:
opt.maxra = 360
if opt.minra is None:
opt.minra = 0
elif opt.kind in ['decaps2', 'decaps2-model', 'decaps2-resid']:
if opt.maxdec is None:
opt.maxdec = -20
if opt.mindec is None:
opt.mindec = -70
if opt.maxra is None:
opt.maxra = 280
if opt.minra is None:
opt.minra = 90
else:
if opt.maxdec is None:
opt.maxdec = 40
if opt.mindec is None:
opt.mindec = -25
if opt.maxra is None:
opt.maxra = 360
if opt.minra is None:
opt.minra = 0
if opt.bands is None:
opt.bands = 'grz'
if opt.top:
top_levels(mp, opt)
sys.exit(0)
if opt.bricks:
from map.views import get_layer
layer = get_layer(opt.kind)
for scale in range(1,8):
B = layer.get_bricks_for_scale(scale)
sys.exit(0)
if opt.scale:
if opt.kind == 'ps1':
from map.views import get_layer
fns = glob('data/ps1/skycells/*/ps1-*.fits')
fns.sort()
#ps1-1561-021-r.fits
if len(opt.zoom) == 0:
opt.zoom = [1,2,3,4,5,6,7]
print(len(fns), 'PS1 image files')
layer = get_layer(opt.kind)
B = layer.get_bricks()
for i,brick in enumerate(B):
for band in opt.bands:
fn0 = layer.get_filename(brick, band, 0)
if not os.path.exists(fn0):
continue
for scale in opt.zoom:
fn = layer.get_filename(brick, band, scale)
layer.create_scaled_image(brick, band, scale, fn)
sys.exit(0)
# Rebricked
if opt.kind in ['decals-dr5', 'decals-dr5-model', 'decals-dr7', 'decals-dr7-model',
'eboss',
'mzls+bass-dr6', 'mzls+bass-dr6-model',
'unwise-neo3', 'unwise-neo4', 'unwise-cat-model',
'galex', 'wssa', 'des-dr1', 'hsc',
] or opt.kind.startswith('dr8-test'): # or True:
from map.views import get_layer
layer = get_layer(opt.kind)
if opt.queue:
if len(opt.zoom) == 0:
opt.zoom = [1,2,3,4,5,6,7]
#step = 0.1
#ras = np.arange(opt.minra, opt.maxra+step, step)
step = 3.
#ras = np.arange(opt.minra, opt.maxra+step, step)
decs = np.arange(opt.mindec, opt.maxdec+step, step)
for zoom in opt.zoom:
for declo,dechi in zip(decs, np.clip(decs[1:], opt.mindec, opt.maxdec)):
rstep = step / np.maximum(0.05, np.cos(np.deg2rad((declo+dechi)/2.)))
ras = np.arange(opt.minra, opt.maxra+rstep, rstep)
for ralo,rahi in zip(ras, np.clip(ras[1:], opt.minra, opt.maxra)):
cmd = ('python render-tiles.py --kind %s --scale --minra %f --maxra %f --mindec %f --maxdec %f -z %i' %
(opt.kind, ralo, rahi, declo, dechi, zoom))
print(cmd)
sys.exit(0)
if len(opt.zoom) == 0:
opt.zoom = [1]
for scale in opt.zoom:
B = layer.get_bricks_for_scale(scale)
print(len(B), 'bricks for scale', scale)
B.cut((B.dec >= opt.mindec) * (B.dec <= opt.maxdec))
print(len(B), 'in Dec range')
B.cut((B.ra >= opt.minra) * (B.ra <= opt.maxra))
print(len(B), 'in RA range')
bands = opt.bands
has = {}
for band in bands:
if 'has_%s' % band in B.get_columns():
has[band] = B.get('has_%s' % band)
else:
# assume yes
has[band] = np.ones(len(B), bool)
# Run one scale at a time
args = []
for ibrick,brick in enumerate(B):
for band in bands:
if has[band][ibrick]:
args.append((layer, brick, band, scale, opt.ignore))
print(len(args), 'bricks for scale', scale)
mp.map(_layer_get_filename, args)
sys.exit(0)
if (opt.kind in ['decals-dr3', 'decals-dr3-model',
'mzls+bass-dr4', 'mzls+bass-dr4-model',
'decaps2', 'decaps2-model', 'eboss', 'ps1']
or 'dr8b' in opt.kind
or 'dr8c' in opt.kind):
from map.views import get_survey, get_layer
surveyname = opt.kind
# *-model -> *
# for prefix in ['decals-dr3', 'mzls+bass-dr4', 'decaps2', 'decals-dr5']:
# if prefix in surveyname:
# surveyname = prefix
for suffix in ['-model', '-resid']:
if surveyname.endswith(suffix):
surveyname = surveyname[:-len(suffix)]
survey = get_survey(surveyname)
print('Survey:', survey)
print(' cache_dir:', survey.cache_dir)
B = survey.get_bricks()
print(len(B), 'bricks')
B.cut((B.dec >= opt.mindec) * (B.dec < opt.maxdec))
print(len(B), 'in Dec range')
B.cut((B.ra >= opt.minra) * (B.ra < opt.maxra))
print(len(B), 'in RA range')
# find all image files
filetype = 'image'
model = False
if '-model' in opt.kind:
model = True
filetype = 'model'
bands = opt.bands
layer = get_layer(opt.kind)
has = {}
for band in bands:
if 'has_%s' % band in B.get_columns():
has[band] = B.get('has_%s' % band)
else:
# assume yes
has[band] = np.ones(len(B), bool)
for scale in opt.zoom:
args = []
for ibrick,brick in enumerate(B):
for band in bands:
if not has[band][ibrick]:
print('Brick', brick.brickname, 'does not have', band)
continue
args.append((layer, brick, band, scale, opt.ignore))
mp.map(_layer_get_filename, args)
sys.exit(0)
elif opt.kind == 'sdss2':
layer = get_layer(opt.kind)
bands = 'gri'
scales = opt.zoom
if len(scales) == 0:
scales = list(range(1,8))
for scale in scales:
#maxscale = 7
bricks = layer.get_bricks_for_scale(scale)
print('Got', len(bricks), 'bricks for scale', scale)
bricks.cut((bricks.dec > opt.mindec) * (bricks.dec <= opt.maxdec) *
(bricks.ra > opt.minra ) * (bricks.ra <= opt.maxra))
print('Cut to', len(bricks), 'bricks within RA,Dec box')
for ibrick,brick in enumerate(bricks):
for band in bands:
print('Scaling brick', ibrick, 'of', len(bricks), 'scale', scale, 'brick', brick.brickname, 'band', band)
fn = layer.get_filename(brick, band, scale)
sys.exit(0)
if opt.kind in ['unwise-w1w2', 'unwise-neo2']:
# scaledir = opt.kind
# basedir = settings.DATA_DIR
# dirnm = os.path.join(basedir, 'scaled', scaledir)
# B = fits_table(os.path.join(basedir, 'unwise-bricks.fits'))
layer = get_layer(opt.kind)
B = layer.get_bricks()
print(len(B), 'unWISE tiles')
for b in B:
for band in ['1','2']:
for scale in [1,2,3,4,5,6,7]:
print('Get brick', b.brickname, 'band', band, 'scale', scale)
layer.get_filename(b, band, scale)
else:
assert(False)
if opt.bricks_exist:
from map.views import get_survey
surveyname = opt.kind
filetype = 'image'
survey = get_survey(surveyname)
B = survey.get_bricks()
print(len(B), 'bricks')
B.cut((B.dec >= opt.mindec) * (B.dec < opt.maxdec))
print(len(B), 'in Dec range')
B.cut((B.ra >= opt.minra) * (B.ra < opt.maxra))
print(len(B), 'in RA range')
# find all image files
bands = opt.bands
has_band = {}
for b in bands:
B.set('has_%s' % b, np.zeros(len(B), bool))
has_band[b] = B.get('has_%s' % b)
exists = np.zeros(len(B), bool)
for i,brick in enumerate(B.brickname):
found = False
for band in bands:
fn = survey.find_file(filetype, brick=brick, band=band)
ex = os.path.exists(fn)
print('Brick', brick, 'band', band, 'exists?', ex)
has_band[band][i] = ex
if ex:
found = True
exists[i] = found
B.cut(exists)
B.writeto('bricks-exist-%s.fits' % opt.kind)
sys.exit(0)
from map.views import get_survey
surveyname = opt.kind
if surveyname.endswith('-model'):
surveyname = surveyname.replace('-model','')
if surveyname.endswith('-resid'):
surveyname = surveyname.replace('-resid','')
survey = get_survey(surveyname)
if len(opt.zoom) == 0:
opt.zoom = [13]
if opt.near:
if opt.kind == 'sdss':
B = fits_table(os.path.join(settings.DATA_DIR, 'bricks-sdssco.fits'))
else:
B = survey.get_bricks()
print(len(B), 'bricks')
#if opt.scale:
# opt.near_ccds = True
if opt.near_ccds:
if opt.kind == 'sdss':
C = fits_table(os.path.join(settings.DATA_DIR, 'sdss', 'window_flist.fits'),
columns=['rerun','ra','dec', 'run', 'camcol', 'field', 'score'])
C.cut(C.rerun == '301')
C.cut(C.score >= 0.6)
#C.delete_column('rerun')
# SDSS field size
radius = 1.01 * np.hypot(10., 14.)/2. / 60.
ccdsize = radius
print(len(C), 'SDSS fields')
else:
C = survey.get_ccds()
print(len(C), 'CCDs')
ccdsize = 0.2
if opt.x is not None:
opt.x0 = opt.x
opt.x1 = opt.x + 1
if opt.y is not None:
opt.y0 = opt.y
opt.y1 = opt.y + 1
if opt.coadd and opt.kind == 'galex':
layer = GalexLayer('galex')
# base-level (coadd) bricks
B = layer.get_bricks()
print(len(B), 'bricks')
B.cut((B.dec >= opt.mindec) * (B.dec < opt.maxdec))
print(len(B), 'in Dec range')
B.cut((B.ra >= opt.minra) * (B.ra < opt.maxra))
print(len(B), 'in RA range')
pat = layer.get_scaled_pattern()
tempfiles = []
for b in B:
for band in ['n','f']:
fn = pat % dict(scale=0, band=band, brickname=b.brickname)
layer.create_coadd_image(b, band, 0, fn, tempfiles=tempfiles)
for fn in tempfiles:
os.unlink(fn)
sys.exit(0)
if opt.coadd and opt.kind == 'sdss':
from legacypipe.survey import wcs_for_brick
from map.views import trymakedirs
#B = survey.get_bricks()
B = fits_table(os.path.join(settings.DATA_DIR, 'sdss2', 'bricks-sdssco.fits'))
print(len(B), 'bricks')
B.cut((B.dec >= opt.mindec) * (B.dec < opt.maxdec))
print(len(B), 'in Dec range')
B.cut((B.ra >= opt.minra) * (B.ra < opt.maxra))
print(len(B), 'in RA range')
if opt.queue:
# ~ square-degree tiles
# RA slices
rr = np.arange(opt.minra , opt.maxra +1)
dd = np.arange(opt.mindec, opt.maxdec+1)
for rlo,rhi in zip(rr, rr[1:]):
for dlo,dhi in zip(dd, dd[1:]):
print('time python render-tiles.py --kind sdss --coadd --minra %f --maxra %f --mindec %f --maxdec %f' % (rlo, rhi, dlo, dhi))
sys.exit(0)
if opt.grass:
basedir = settings.DATA_DIR
codir = os.path.join(basedir, 'coadd', 'sdssco')
rr,dd = [],[]
exist = []
for i,b in enumerate(B):
print('Brick', b.brickname,)
fn = os.path.join(codir, b.brickname[:3], 'sdssco-%s-%s.fits' % (b.brickname, 'r'))
print('-->', fn,)
if not os.path.exists(fn):
print()
continue
print('found')
rr.append(b.ra)
dd.append(b.dec)
exist.append(i)
exist = np.array(exist)
B.cut(exist)
B.writeto('bricks-sdssco-exist.fits')
import pylab as plt
plt.clf()
plt.plot(rr, dd, 'k.')
plt.title('SDSS coadd tiles')
plt.savefig('sdss.png')
sys.exit(0)
basedir = settings.DATA_DIR
codir = os.path.join(basedir, 'coadd', 'sdssco')
for b in B:
print('Brick', b.brickname)
wcs = wcs_for_brick(b, W=2400, H=2400, pixscale=0.396)
#bands = 'gri'
bands = 'z'
dirnm = os.path.join(codir, b.brickname[:3])
fns = [os.path.join(dirnm, 'sdssco-%s-%s.fits' % (b.brickname, band))
for band in bands]
hdr = fitsio.FITSHDR()
hdr['SURVEY'] = 'SDSS'
wcs.add_to_header(hdr)
if all([os.path.exists(fn) for fn in fns]):
print('Already exist')
continue
from map.oldviews import map_sdss
ims = map_sdss(req, 1, 0, 0, 0, get_images=True, wcs=wcs, ignoreCached=True,
forcescale=0, bands=bands)
if ims is None:
print('No overlap')
continue
trymakedirs(os.path.join(dirnm, 'xxx'))
for fn,band,im in zip(fns,bands, ims):
fitsio.write(fn, im, header=hdr, clobber=True)
print('Wrote', fn)
# Also write scaled versions
# dirnm = os.path.join(basedir, 'scaled', 'sdssco')
# scalepat = os.path.join(dirnm, '%(scale)i%(band)s', '%(brickname).3s', 'sdssco-%(brickname)s-%(band)s.fits')
# for im,band in zip(ims,bands):
# scalekwargs = dict(band=band, brick=b.brickid, brickname=b.brickname)
# imwcs = wcs
# for scale in range(1, 7):
# print('Writing scale level', scale)
# im,imwcs,sfn = get_scaled(scalepat, scalekwargs, scale, None,
# wcs=imwcs, img=im, return_data=True)
sys.exit(0)
for zoom in opt.zoom:
N = 2**zoom
if opt.y1 is None:
y1 = N
else:
y1 = opt.y1
if opt.x0 is None:
opt.x0 = 0
x1 = opt.x1
if x1 is None:
x1 = N
if opt.split:
decsplit = 32.
y = 2.**zoom/(2.*np.pi) * (np.pi - np.log(np.tan(np.pi/4. + np.deg2rad(decsplit)/2.)))
y = int(y)
opt.y0 = y
y1 = y+1
# Find grid of Ra,Dec tile centers and select the ones near DECaLS bricks.
rr,dd = [],[]
yy = np.arange(opt.y0, y1)
xx = np.arange(opt.x0, x1)
if opt.grass:
import pylab as plt
tileexists = np.zeros((len(yy),len(xx)), bool)
basedir = settings.DATA_DIR
ver = tileversions[opt.kind][-1]
tiledir = os.path.join(basedir, 'tiles', opt.kind, '%i'%ver, '%i'%zoom)
for dirpath,dirnames,filenames in os.walk(tiledir):
# change walk order
dirnames.sort()
if len(filenames) == 0:
continue
print('Dirpath', dirpath)
#print 'Dirnames', dirnames
#print 'Filenames', filenames
# check for symlinks
if False:
fns = []
for fn in filenames:
fullfn = os.path.join(tiledir, dirpath, fn)
if os.path.isfile(fullfn) and not os.path.islink(fullfn):
fns.append(fn)
print(len(fns), 'of', len(filenames), 'are files (not symlinks)')
filenames = fns
x = os.path.basename(dirpath)
x = int(x)
#print 'x', x
yy = [int(fn.replace('.jpg','')) for fn in filenames]
#print 'yy', yy
print(len(yy), 'tiles')
for y in yy:
tileexists[y - opt.y0, x - opt.x0] = True
plt.clf()
plt.imshow(tileexists, interpolation='nearest', origin='upper',
vmin=0, vmax=1, cmap='gray')
fn = 'exist-%s-z%02i' % (opt.kind, zoom)
plt.savefig(fn+'.png')
fitsio.write(fn+'.fits', tileexists, clobber=True)
print('Wrote', fn+'.png and', fn+'.fits')
continue
if not opt.all:
for y in yy:
wcs,W,H,zoomscale,zoom,x,y = get_tile_wcs(zoom, 0, y)
r,d = wcs.get_center()
dd.append(d)
for x in xx:
wcs,W,H,zoomscale,zoom,x,y = get_tile_wcs(zoom, x, 0)
r,d = wcs.get_center()
rr.append(r)
dd = np.array(dd)
rr = np.array(rr)
if len(dd) > 1:
tilesize = max(np.abs(np.diff(dd)))
print('Tile size:', tilesize)
else:
if opt.near_ccds or opt.near:
try:
wcs,W,H,zoomscale,zoom,x,y = get_tile_wcs(zoom, 0, opt.y0+1)
r2,d2 = wcs.get_center()
except:
wcs,W,H,zoomscale,zoom,x,y = get_tile_wcs(zoom, 0, opt.y0-1)
r2,d2 = wcs.get_center()
tilesize = np.abs(dd[0] - d2)
print('Tile size:', tilesize)
else:
tilesize = 180.
I = np.flatnonzero((dd >= opt.mindec) * (dd <= opt.maxdec))
print('Keeping', len(I), 'Dec points between', opt.mindec, 'and', opt.maxdec)
dd = dd[I]
yy = yy[I]
if opt.near_ccds:
margin = tilesize + ccdsize
I = np.flatnonzero((dd > C.dec.min()-margin) * (dd < C.dec.max()+margin))
if len(I) == 0:
print('No Dec points within range of CCDs')
continue
dd = dd[I]
yy = yy[I]
print('Keeping', len(I), 'Dec points within range of CCDs: Dec',
dd.min(), dd.max())
I = np.flatnonzero((rr >= opt.minra) * (rr <= opt.maxra))
print('Keeping', len(I), 'RA points between', opt.minra, 'and', opt.maxra)
rr = rr[I]
xx = xx[I]
print(len(rr), 'RA points x', len(dd), 'Dec points')
print('x tile range:', xx.min(), xx.max(), 'y tile range:', yy.min(), yy.max())
for iy,y in enumerate(yy):
print()
print('Y row', y)
if opt.queue:
if 'decaps2' in opt.kind:
layer = get_layer(opt.kind)
if zoom >= layer.nativescale:
oldscale = 0
else:
oldscale = (layer.nativescale - zoom)
oldscale = np.clip(oldscale, layer.minscale, layer.maxscale)
x = 0
wcs, W, H, zoomscale, z,xi,yi = get_tile_wcs(zoom, x, y)
newscale = layer.get_scale(zoom, 0, y, wcs)
if oldscale == newscale:
print('Oldscale = newscale = ', oldscale)
continue
cmd = 'python -u render-tiles.py --zoom %i --y0 %i --y1 %i --kind %s --mindec %f --maxdec %f' % (zoom, y, y+1, opt.kind, opt.mindec, opt.maxdec)
cmd += ' --threads 32'
if opt.near_ccds:
cmd += ' --near-ccds'
if opt.all:
cmd += ' --all'
if opt.ignore:
cmd += ' --ignore'
print(cmd)
continue
if opt.near:
d = dd[iy]
I,J,dist = match_radec(rr, d+np.zeros_like(rr), B.ra, B.dec, 0.25 + tilesize, nearest=True)
if len(I) == 0:
print('No matches to bricks')
continue
keep = np.zeros(len(rr), bool)
keep[I] = True
print('Keeping', sum(keep), 'tiles in row', y, 'Dec', d)
x = xx[keep]
elif opt.near_ccds:
d = dd[iy]
print('RA range of tiles:', rr.min(), rr.max())
print('Dec of tile row:', d)
I,J,dist = match_radec(rr, d+np.zeros_like(rr), C.ra, C.dec, ccdsize + tilesize, nearest=True)
if len(I) == 0:
print('No matches to CCDs')
continue
keep = np.zeros(len(rr), bool)
keep[I] = True
print('Keeping', sum(keep), 'tiles in row', y, 'Dec', d)
x = xx[keep]
else:
x = xx
# if opt.grass:
# for xi in x:
# basedir = settings.DATA_DIR
# ver = tileversions[opt.kind][-1]
# tilefn = os.path.join(basedir, 'tiles', opt.kind,
# '%i/%i/%i/%i.jpg' % (ver, zoom, xi, y))
# print 'Checking for', tilefn
# if os.path.exists(tilefn):
# print 'EXISTS'
# tileexists[yi-opt.y0, xi-opt.x0]
# continue
args = []
for xi in x:
args.append((opt.kind,zoom,xi,y, opt.ignore, False))
#args.append((opt.kind,zoom,xi,y, opt.ignore, True))
print('Rendering', len(args), 'tiles in row y =', y)
mp.map(_bounce_one_tile, args, chunksize=min(100, max(1, int(len(args)/opt.threads))))
#mp.map(_one_tile, args, chunksize=min(100, max(1, int(len(args)/opt.threads))))
print('Rendered', len(args), 'tiles')
def main():
"""Main program.
"""
import argparse
parser = argparse.ArgumentParser(
description=
"This script is used to produce lists of CCDs or bricks, for production purposes (building qdo queue, eg)."
)
parser.add_argument('--calibs',
action='store_true',
help='Output CCDs that need to be calibrated.')
parser.add_argument('--nper',
type=int,
default=None,
help='Batch N calibs per line')
parser.add_argument('--forced',
action='store_true',
help='Output forced-photometry commands')
parser.add_argument('--lsb',
action='store_true',
help='Output Low-Surface-Brightness commands')
parser.add_argument('--touching',
action='store_true',
help='Cut to only CCDs touching selected bricks')
parser.add_argument('--near',
action='store_true',
help='Quick cut to only CCDs near selected bricks')
parser.add_argument('--check',
action='store_true',
help='Check which calibrations actually need to run.')
parser.add_argument('--check-coadd',
action='store_true',
help='Check which caoadds actually need to run.')
parser.add_argument('--out',
help='Output filename for calibs, default %(default)s',
default='jobs')
parser.add_argument('--command',
action='store_true',
help='Write out full command-line to run calib')
parser.add_argument('--opt', help='With --command, extra options to add')
parser.add_argument('--maxdec', type=float, help='Maximum Dec to run')
parser.add_argument('--mindec', type=float, help='Minimum Dec to run')
parser.add_argument('--region', help='Region to select')
parser.add_argument('--bricks', help='Set bricks.fits file to load')
parser.add_argument('--ccds', help='Set ccds.fits file to load')
parser.add_argument('--ignore_cuts',
action='store_true',
default=False,
help='no photometric or blacklist cuts')
parser.add_argument('--save_to_fits',
action='store_true',
default=False,
help='save cut brick,ccd to fits table')
parser.add_argument(
'--name',
action='store',
default='dr3',
help='save with this suffix, e.g. refers to ccds table')
parser.add_argument('--delete-sky',
action='store_true',
help='Delete any existing sky calibration files')
parser.add_argument('--delete-pvastrom',
action='store_true',
help='Delete any existing PV WCS calibration files')
parser.add_argument('--write-ccds', help='Write CCDs list as FITS table?')
parser.add_argument(
'--brickq',
type=int,
default=None,
help='Queue only bricks with the given "brickq" value [0 to 3]')
parser.add_argument(
'--brickq-deps',
action='store_true',
default=False,
help='Queue bricks directly using qdo API, setting brickq dependencies'
)
parser.add_argument('--queue',
default='bricks',
help='With --brickq-deps, the QDO queue name to use')
opt = parser.parse_args()
survey = LegacySurveyData()
if opt.bricks is not None:
B = fits_table(opt.bricks)
log('Read', len(B), 'from', opt.bricks)
else:
B = survey.get_bricks()
if opt.ccds is not None:
T = fits_table(opt.ccds)
log('Read', len(T), 'from', opt.ccds)
else:
T = survey.get_ccds()
log(len(T), 'CCDs')
T.index = np.arange(len(T))
if opt.ignore_cuts == False:
I = survey.photometric_ccds(T)
print(len(I), 'CCDs are photometric')
T.cut(I)
I = survey.apply_blacklist(T)
print(len(I), 'CCDs are not blacklisted')
T.cut(I)
print(len(T), 'CCDs remain')
# I,J,d,counts = match_radec(B.ra, B.dec, T.ra, T.dec, 0.2, nearest=True, count=True)
# plt.clf()
# plt.hist(counts, counts.max()+1)
# plt.savefig('bricks.png')
# B.cut(I[counts >= 9])
# plt.clf()
# plt.plot(B.ra, B.dec, 'b.')
# #plt.scatter(B.ra[I], B.dec[I], c=counts)
# plt.savefig('bricks2.png')
# DES Stripe82
#rlo,rhi = 350.,360.
# rlo,rhi = 300., 10.
# dlo,dhi = -6., 4.
# TINY bit
#rlo,rhi = 350.,351.1
#dlo,dhi = 0., 1.1
# EDR+
# 860 bricks
# ~10,000 CCDs
#rlo,rhi = 239,246
#dlo,dhi = 5, 13
# DR1
#rlo,rhi = 0, 360
# part 1
#dlo,dhi = 25, 40
# part 2
#dlo,dhi = 20,25
# part 3
#dlo,dhi = 15,20
# part 4
#dlo,dhi = 10,15
# part 5
#dlo,dhi = 5,10
# the rest
#dlo,dhi = -11, 5
#dlo,dhi = 15,25.5
dlo, dhi = -25, 40
rlo, rhi = 0, 360
# Arjun says 3x3 coverage area is roughly
# RA=240-252 DEC=6-12 (but not completely rectangular)
# COSMOS
#rlo,rhi = 148.9, 151.2
#dlo,dhi = 0.9, 3.5
# A nice well-behaved region (EDR2/3)
# rlo,rhi = 243.6, 244.6
# dlo,dhi = 8.1, 8.6
# 56 bricks, ~725 CCDs
#B.cut((B.ra > 240) * (B.ra < 242) * (B.dec > 5) * (B.dec < 7))
# 240 bricks, ~3000 CCDs
#B.cut((B.ra > 240) * (B.ra < 244) * (B.dec > 5) * (B.dec < 9))
# 535 bricks, ~7000 CCDs
#B.cut((B.ra > 240) * (B.ra < 245) * (B.dec > 5) * (B.dec < 12))
if opt.region in ['test1', 'test2', 'test3', 'test4']:
nm = dict(
test1='2446p115', # weird stuff around bright star
test2='1183p292', # faint sources around bright galaxy
test3='3503p005', # DES
test4='1163p277', # Pollux
)[opt.region]
B.cut(np.flatnonzero(np.array([s == nm for s in B.brickname])))
log('Cut to', len(B), 'bricks')
log(B.ra, B.dec)
dlo, dhi = -90, 90
rlo, rhi = 0, 360
elif opt.region == 'edr':
# EDR:
# 535 bricks, ~7000 CCDs
rlo, rhi = 240, 245
dlo, dhi = 5, 12
elif opt.region == 'edrplus':
rlo, rhi = 235, 248
dlo, dhi = 5, 15
elif opt.region == 'edr-south':
rlo, rhi = 240, 245
dlo, dhi = 5, 10
elif opt.region == 'cosmos1':
# 16 bricks in the core of the COSMOS field.
rlo, rhi = 149.75, 150.75
dlo, dhi = 1.6, 2.6
elif opt.region == 'pristine':
# Stream?
rlo, rhi = 240, 250
dlo, dhi = 10, 15
elif opt.region == 'des':
dlo, dhi = -6., 4.
rlo, rhi = 317., 7.
T.cut(np.flatnonzero(np.array(['CPDES82' in fn for fn in T.cpimage])))
log('Cut to', len(T), 'CCDs with "CPDES82" in filename')
elif opt.region == 'subdes':
rlo, rhi = 320., 360.
dlo, dhi = -1.25, 1.25
elif opt.region == 'northwest':
rlo, rhi = 240, 360
dlo, dhi = 20, 40
elif opt.region == 'north':
rlo, rhi = 120, 240
dlo, dhi = 20, 40
elif opt.region == 'northeast':
rlo, rhi = 0, 120
dlo, dhi = 20, 40
elif opt.region == 'southwest':
rlo, rhi = 240, 360
dlo, dhi = -20, 0
elif opt.region == 'south':
rlo, rhi = 120, 240
dlo, dhi = -20, 0
elif opt.region == 'southeast':
rlo, rhi = 0, 120
dlo, dhi = -20, 0
elif opt.region == 'southsoutheast':
rlo, rhi = 0, 120
dlo, dhi = -20, -10
elif opt.region == 'midwest':
rlo, rhi = 240, 360
dlo, dhi = 0, 20
elif opt.region == 'middle':
rlo, rhi = 120, 240
dlo, dhi = 0, 20
elif opt.region == 'mideast':
rlo, rhi = 0, 120
dlo, dhi = 0, 20
elif opt.region == 'grz':
# Bricks with grz coverage.
# Be sure to use --bricks survey-bricks-in-dr1.fits
# which has_[grz] columns.
B.cut((B.has_g == 1) * (B.has_r == 1) * (B.has_z == 1))
log('Cut to', len(B), 'bricks with grz coverage')
elif opt.region == 'nogrz':
# Bricks without grz coverage.
# Be sure to use --bricks survey-bricks-in-dr1.fits
# which has_[grz] columns.
B.cut(np.logical_not((B.has_g == 1) * (B.has_r == 1) * (B.has_z == 1)))
log('Cut to', len(B), 'bricks withOUT grz coverage')
elif opt.region == 'deep2':
rlo, rhi = 250, 260
dlo, dhi = 30, 35
elif opt.region == 'deep2f3':
rlo, rhi = 351.25, 353.75
dlo, dhi = 0, 0.5
elif opt.region == 'virgo':
rlo, rhi = 185, 190
dlo, dhi = 10, 15
elif opt.region == 'virgo2':
rlo, rhi = 182, 192
dlo, dhi = 8, 18
elif opt.region == 'lsb':
rlo, rhi = 147.2, 147.8
dlo, dhi = -0.4, 0.4
elif opt.region == 'eboss-sgc':
# generous boundaries to make sure get all relevant images
# RA -45 to +45
# Dec -5 to +7
rlo, rhi = 310., 50.
dlo, dhi = -6., 6.
elif opt.region == 'eboss-ngc':
# generous boundaries to make sure get all relevant images
# NGC ELGs
# RA 115 to 175
# Dec 15 to 30
rlo, rhi = 122., 177.
dlo, dhi = 12., 32.
elif opt.region == 'mzls':
dlo, dhi = 30., 90.
elif opt.region == 'dr4-bootes':
# https://desi.lbl.gov/trac/wiki/DecamLegacy/DR4sched
#dlo,dhi = 34., 35.
#rlo,rhi = 209.5, 210.5
dlo, dhi = 33., 36.
rlo, rhi = 216.5, 219.5
if opt.mindec is not None:
dlo = opt.mindec
if opt.maxdec is not None:
dhi = opt.maxdec
if rlo < rhi:
B.cut((B.ra >= rlo) * (B.ra <= rhi) * (B.dec >= dlo) * (B.dec <= dhi))
else: # RA wrap
B.cut(
np.logical_or(B.ra >= rlo, B.ra <= rhi) * (B.dec >= dlo) *
(B.dec <= dhi))
log(len(B), 'bricks in range')
#for name in B.get('brickname'):
#print(name)
B.writeto('bricks-cut.fits')
I, J, d = match_radec(B.ra, B.dec, T.ra, T.dec, survey.bricksize)
keep = np.zeros(len(B), bool)
for i in I:
keep[i] = True
B.cut(keep)
log('Cut to', len(B), 'bricks near CCDs')
plt.clf()
plt.plot(B.ra, B.dec, 'b.')
plt.title('DR3 bricks')
plt.axis([360, 0, np.min(B.dec) - 1, np.max(B.dec) + 1])
plt.savefig('bricks.png')
if opt.brickq is not None:
B.cut(B.brickq == opt.brickq)
log('Cut to', len(B), 'with brickq =', opt.brickq)
if opt.touching:
keep = np.zeros(len(T), bool)
for j in J:
keep[j] = True
T.cut(keep)
log('Cut to', len(T), 'CCDs near bricks')
# Aside -- how many near DR1=1 CCDs?
if False:
T2 = D.get_ccds()
log(len(T2), 'CCDs')
T2.cut(T2.dr1 == 1)
log(len(T2), 'CCDs marked DR1=1')
log(len(B), 'bricks in range')
I, J, d = match_radec(B.ra, B.dec, T2.ra, T2.dec, survey.bricksize)
keep = np.zeros(len(B), bool)
for i in I:
keep[i] = True
B2 = B[keep]
log('Total of', len(B2), 'bricks near CCDs with DR1=1')
for band in 'grz':
Tb = T2[T2.filter == band]
log(len(Tb), 'in filter', band)
I, J, d = match_radec(B2.ra, B2.dec, Tb.ra, Tb.dec,
survey.bricksize)
good = np.zeros(len(B2), np.uint8)
for i in I:
good[i] = 1
B2.set('has_' + band, good)
B2.writeto('survey-bricks-in-dr1.fits')
sys.exit(0)
# sort by dec decreasing
#B.cut(np.argsort(-B.dec))
# RA increasing
B.cut(np.argsort(B.ra))
for b in B:
if opt.check:
fn = 'dr1n/tractor/%s/tractor-%s.fits' % (b.brickname[:3],
b.brickname)
if os.path.exists(fn):
print('Exists:', fn, file=sys.stderr)
continue
if opt.check_coadd:
fn = 'dr1b/coadd/%s/%s/decals-%s-image.jpg' % (
b.brickname[:3], b.brickname, b.brickname)
if os.path.exists(fn):
print('Exists:', fn, file=sys.stderr)
continue
#print(b.brickname)
if opt.save_to_fits:
assert (opt.touching)
# Write cut tables to file
for tab, typ in zip([B, T], ['bricks', 'ccds']):
fn = '%s-%s-cut.fits' % (typ, opt.region)
if os.path.exists(fn):
os.remove(fn)
tab.writeto(fn)
print('Wrote %s' % fn)
# Write text files listing ccd and filename names
nm1, nm2 = 'ccds-%s.txt' % opt.region, 'filenames-%s.txt' % opt.region
if os.path.exists(nm1):
os.remove(nm1)
if os.path.exists(nm2):
os.remove(nm2)
f1, f2 = open(nm1, 'w'), open(nm2, 'w')
fns = list(set(T.get('image_filename')))
for fn in fns:
f2.write('%s\n' % fn.strip())
for ti in T:
f1.write('%s\n' % ti.get('image_filename').strip())
f1.close()
f2.close()
print('Wrote *-names.txt')
if opt.brickq_deps:
import qdo
from legacypipe.survey import on_bricks_dependencies
#... find Queue...
q = qdo.connect(opt.queue, create_ok=True)
print('Connected to QDO queue', opt.queue, q)
brick_to_task = dict()
I = survey.photometric_ccds(T)
print(len(I), 'CCDs are photometric')
T.cut(I)
I = survey.apply_blacklist(T)
print(len(I), 'CCDs are not blacklisted')
T.cut(I)
print(len(T), 'CCDs remaining')
T.wra = T.ra + (T.ra > 180) * -360
wra = rlo - 360
plt.clf()
plt.plot(T.wra, T.dec, 'b.')
ax = [wra, rhi, dlo, dhi]
plt.axis(ax)
plt.title('CCDs')
plt.savefig('q-ccds.png')
B.wra = B.ra + (B.ra > 180) * -360
# this slight overestimate (for DECam images) is fine
radius = 0.3
Iccds = match_radec(B.ra, B.dec, T.ra, T.dec, radius, indexlist=True)
ikeep = []
for ib, (b, Iccd) in enumerate(zip(B, Iccds)):
if Iccd is None or len(Iccd) == 0:
print('No matched CCDs to brick', b.brickname)
continue
wcs = wcs_for_brick(b)
cI = ccds_touching_wcs(wcs, T[np.array(Iccd)])
print(len(cI), 'CCDs touching brick', b.brickname)
if len(cI) == 0:
continue
ikeep.append(ib)
B.cut(np.array(ikeep))
print('Cut to', len(B), 'bricks touched by CCDs')
for brickq in range(4):
I = np.flatnonzero(B.brickq == brickq)
print(len(I), 'bricks with brickq =', brickq)
J = np.flatnonzero(B.brickq < brickq)
preB = B[J]
reqs = []
if brickq > 0:
for b in B[I]:
# find brick dependencies
brickdeps = on_bricks_dependencies(b, survey, bricks=preB)
# convert to task ids
taskdeps = [
brick_to_task.get(b.brickname, None) for b in brickdeps
]
# If we dropped a dependency brick from a previous brickq because
# of no overlapping CCDs, it won't appear in the brick_to_task map.
taskdeps = [t for t in taskdeps if t is not None]
reqs.append(taskdeps)
plt.clf()
plt.plot(B.wra, B.dec, '.', color='0.5')
plt.plot(B.wra[I], B.dec[I], 'b.')
plt.axis(ax)
plt.title('Bricks: brickq=%i' % brickq)
plt.savefig('q-bricks-%i.png' % brickq)
# submit to qdo queue
print('Queuing', len(B[I]), 'bricks')
if brickq == 0:
reqs = None
else:
assert (len(I) == len(reqs))
taskids = q.add_multiple(B.brickname[I], requires=reqs)
assert (len(taskids) == len(I))
print('Queued', len(taskids), 'bricks')
brick_to_task.update(dict(zip(B.brickname[I], taskids)))
if not (opt.calibs or opt.forced or opt.lsb):
sys.exit(0)
bands = 'grz'
log('Filters:', np.unique(T.filter))
T.cut(np.flatnonzero(np.array([f in bands for f in T.filter])))
log('Cut to', len(T), 'CCDs in filters', bands)
if opt.touching:
allI = set()
for b in B:
wcs = wcs_for_brick(b)
I = ccds_touching_wcs(wcs, T)
log(len(I), 'CCDs for brick', b.brickid,
'RA,Dec (%.2f, %.2f)' % (b.ra, b.dec))
if len(I) == 0:
continue
allI.update(I)
allI = list(allI)
allI.sort()
elif opt.near:
# Roughly brick radius + DECam image radius
radius = 0.35
allI, nil, nil = match_radec(T.ra,
T.dec,
B.ra,
B.dec,
radius,
nearest=True)
else:
allI = np.arange(len(T))
if opt.write_ccds:
T[allI].writeto(opt.write_ccds)
log('Wrote', opt.write_ccds)
## Be careful here -- T has been cut; we want to write out T.index.
## 'allI' contains indices into T.
if opt.forced:
log('Writing forced-photometry commands to', opt.out)
f = open(opt.out, 'w')
log('Total of', len(allI), 'CCDs')
for j, i in enumerate(allI):
expstr = '%08i' % T.expnum[i]
outfn = os.path.join(
'forced', expstr[:5], expstr,
'decam-%s-%s-forced.fits' % (expstr, T.ccdname[i]))
imgfn = os.path.join(survey.survey_dir, 'images',
T.image_filename[i].strip())
if (not os.path.exists(imgfn) and imgfn.endswith('.fz')
and os.path.exists(imgfn[:-3])):
imgfn = imgfn[:-3]
#f.write('python legacypipe/forced_photom_decam.py %s %i DR3 %s\n' %
# (imgfn, T.image_hdu[i], outfn))
f.write(
'python legacypipe/forced_photom_decam.py --apphot --constant-invvar %i %s DR3 %s\n'
% (T.expnum[i], T.ccdname[i], outfn))
f.close()
log('Wrote', opt.out)
sys.exit(0)
if opt.lsb:
log('Writing LSB commands to', opt.out)
f = open(opt.out, 'w')
log('Total of', len(allI), 'CCDs')
for j, i in enumerate(allI):
exp = T.expnum[i]
ext = T.ccdname[i].strip()
outfn = 'lsb/lsb-%s-%s.fits' % (exp, ext)
f.write(
'python projects/desi/lsb.py --expnum %i --extname %s --out %s -F -n > lsb/lsb-%s-%s.log 2>&1\n'
% (exp, ext, outfn, exp, ext))
f.close()
log('Wrote', opt.out)
sys.exit(0)
log('Writing calibs to', opt.out)
f = open(opt.out, 'w')
log('Total of', len(allI), 'CCDs')
batch = []
def write_batch(f, batch, cmd):
if cmd is None:
cmd = ''
f.write(cmd + ' '.join(batch) + '\n')
cmd = None
if opt.command:
cmd = 'python legacypipe/run-calib.py '
if opt.opt is not None:
cmd += opt.opt + ' '
for j, i in enumerate(allI):
if opt.delete_sky or opt.delete_pvastrom:
log(j + 1, 'of', len(allI))
im = survey.get_image_object(T[i])
if opt.delete_sky and os.path.exists(im.skyfn):
log(' deleting:', im.skyfn)
os.unlink(im.skyfn)
if opt.delete_pvastrom and os.path.exists(im.pvwcsfn):
log(' deleting:', im.pvwcsfn)
os.unlink(im.pvwcsfn)
if opt.check:
log(j + 1, 'of', len(allI))
im = survey.get_image_object(T[i])
if not im.run_calibs(im, just_check=True):
log('Calibs for', im.expnum, im.ccdname, im.calname,
'already done')
continue
if opt.command:
s = '%i-%s' % (T.expnum[i], T.ccdname[i])
prefix = 'python legacypipe/run-calib.py ' + opt.opt
#('python legacypipe/run-calib.py --expnum %i --ccdname %s' %
# (T.expnum[i], T.ccdname[i]))
else:
s = '%i' % T.index[i]
prefix = ''
if j < 10:
print('Index', T.index[i], 'expnum', T.expnum[i], 'ccdname',
T.ccdname[i], 'filename', T.image_filename[i])
if not opt.nper:
f.write(prefix + s + '\n')
else:
batch.append(s)
if len(batch) >= opt.nper:
write_batch(f, batch, cmd)
batch = []
if opt.check:
f.flush()
if len(batch):
write_batch(f, batch, cmd)
f.close()
log('Wrote', opt.out)
return 0
