version,
coadd,
season=args.season,
patch=args.patch,
array=args.array,
mkdir=True,
overwrite=args.overwrite,
mask_patch=mask_patch)
# Get data model
mask = sints.get_act_mr3_crosslinked_mask(mask_patch,
version=args.mask_version,
kind=args.mask_kind,
season=args.season,
array=args.array + "_f150",
pad=args.mask_pad)
if args.debug: noise.plot(pout + "_mask", mask, grid=True)
dm = sints.models[args.model](region=mask, calibrated=args.calibrated)
# Get a NoiseGen model
if args.extract_mask is not None:
emask = sints.get_act_mr3_crosslinked_mask(mask_patch,
version=args.extract_mask,
kind=args.mask_kind,
season=args.season,
array=args.array + "_f150")
eshape, ewcs = emask.shape, emask.wcs
else:
emask = mask
ngen = noise.NoiseGen(version=version,
model=args.model,
extract_region=emask,
print("Sim %d of %d ..." % (i + 1, nsims))
with bench.show("simgen"):
sims = ngen.generate_sim(season=season,
patch=patch,
array=array,
seed=i,
mask_patch=mask_patch)
print(sims.nbytes / 1024. / 1024. / 1024., " GB", sims.shape,
sims.dtype)
if args.extract_mask is not None:
ivars2 = enmap.extract(ivars, eshape, ewcs)
modlmap = enmap.modlmap(eshape, ewcs)
else:
ivars2 = ivars
if args.debug and i == 0: noise.plot(pout + "_sims", sims)
if not (args.no_write):
ngen.save_sims(i,
sims,
season,
patch,
array,
coadd=coadd,
mask_patch=mask_patch)
n2d_sim = noise.get_n2d_data(sims,
ivars2,
emask,
coadd_estimator=coadd,
flattened=False,
plot_fname=pout + "_n2d_sim" if
(args.debug and i == 0) else None,
array=args.array,
mkdir=True,
overwrite=True,
mask_patch=mask_patch)
# Get data model
mask = sints.get_act_mr3_crosslinked_mask(mask_patch,
version=mask_version,
kind="binary_apod",
season=season,
array=args.array + "_f150",
pad=args.mask_pad)
# print(mask.shape)
mask = mask[400:-400, 5000:-5000]
mask *= enmap.apod(mask, 400)
# print(mask.shape)
noise.plot(pout + "_mask", mask, grid=True)
dm = sints.models[model](region=mask)
# Get a NoiseGen model
emask = mask
ngen = noise.NoiseGen(version=version,
model=model,
extract_region=emask,
ncache=1,
verbose=True)
# Get arrays from array
splits = dm.get_splits(season=season,
patch=patch,
arrays=dm.array_freqs[args.array],
