fileroot = fileroot + 'scaleddown_'
else:
footprints_hp = standard_goals(nside=nside)
observatory = Model_observatory(nside=nside)
conditions = observatory.return_conditions()
footprints = Footprint(conditions.mjd_start, sun_RA_start=conditions.sun_RA_start, nside=nside)
for i, key in enumerate(footprints_hp):
footprints.footprints[i, :] = footprints_hp[key]
# Set up the DDF surveys to dither
dither_detailer = detailers.Dither_detailer(per_night=per_night, max_dither=max_dither)
details = [detailers.Camera_rot_detailer(min_rot=-camera_ddf_rot_limit, max_rot=camera_ddf_rot_limit), dither_detailer]
euclid_detailers = [detailers.Camera_rot_detailer(min_rot=-camera_ddf_rot_limit, max_rot=camera_ddf_rot_limit),
detailers.Euclid_dither_detailer()]
ddf_dict, ha_dict = ddf_info(nexp=nexp)
ddf_times = read_times(filename=ddf_file, end_time=float_time)
# let's map the names
name_dict = {'COSMOS_g': 'DD:COSMOS', 'Euclid_g': 'DD:EDFS', 'ECDFS_g': 'DD:ECDFS',
'Elias_S1_g': 'DD:ELAISS1', 'XMM-LSS_g':'DD:XMM-LSS'}
for key in name_dict:
ddf_times['label'][np.where(ddf_times['label'] == key)] = name_dict[key]
ddfs = []
for ddf_name in ['DD:ELAISS1', 'DD:XMM-LSS', 'DD:ECDFS', 'DD:COSMOS']:
good = np.where(ddf_times['label'] == ddf_name)
ddfs.append(Scheduled_ddfs(ddf_times[good], ddf_dict, ha_dict, detailers=details))
# Euclid seperate to get the right dither detailer on there
for ddf_name in ['DD:EDFS']:
good = np.where(ddf_times['label'] == ddf_name)
conditions = observatory.return_conditions()
footprints = Footprint(conditions.mjd_start,
sun_RA_start=conditions.sun_RA_start,
nside=nside)
for i, key in enumerate(footprints_hp):
footprints.footprints[i, :] = footprints_hp[key]
# Set up the DDF surveys to dither
dither_detailer = detailers.Dither_detailer(per_night=per_night,
max_dither=max_dither)
details = [
detailers.Camera_rot_detailer(min_rot=-camera_ddf_rot_limit,
max_rot=camera_ddf_rot_limit),
dither_detailer
]
ddf_dict, ha_dict = ddf_info()
temp = np.load('test_sched.npz')
ddf_times = temp['results'].copy()
temp.close()
#ddf_times = read_times(filename=ddf_file, end_time=float_time)
ddfs = [Scheduled_ddfs(ddf_times, ddf_dict, ha_dict, detailers=details)]
greedy = gen_greedy_surveys(nside, nexp=nexp, footprints=footprints)
blobs = generate_blobs(nside, nexp=nexp, footprints=footprints)
surveys = [ddfs, blobs, greedy]
run_sched(surveys,
survey_length=survey_length,
verbose=verbose,
fileroot=os.path.join(outDir, fileroot + file_end),
extra_info=extra_info,