def make_scheduler(scale_down=False, max_dither=0.7, nexp=1):
nside = 32
per_night = True # Dither DDF per night
camera_ddf_rot_limit = 75.
extra_info = {}
exec_command = ''
for arg in sys.argv:
exec_command += ' ' + arg
extra_info['exec command'] = exec_command
try:
extra_info['git hash'] = subprocess.check_output(
['git', 'rev-parse', 'HEAD'])
except subprocess.CalledProcessError:
extra_info['git hash'] = 'Not in git repo'
extra_info['file executed'] = os.path.realpath(__file__)
fileroot = 'baseline_nexp%i_' % nexp
file_end = 'v1.6_'
if scale_down:
footprints = nes_light_footprints(nside=nside)
fileroot = fileroot + 'scaleddown_'
else:
footprints = standard_goals(nside=nside)
# 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
]
ddfs = generate_dd_surveys(nside=nside, nexp=nexp, detailers=details)
greedy = gen_greedy_surveys(nside, nexp=nexp, footprints=footprints)
blobs = generate_blobs(nside, nexp=nexp, footprints=footprints)
surveys = [ddfs, blobs, greedy]
scheduler = Core_scheduler(surveys, nside=nside)
return scheduler
if scale_down:
footprints_hp = nes_light_footprints(nside=nside)
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
]
ddfs = generate_dd_surveys(nside=nside, nexp=nexp, 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,
