def target(self, x):
x[0] = 5 # reduce redundant solutions
for survey in self.surveys:
survey.basis_weights = x
scheduler = fs.Core_scheduler_cost(self.surveys)
observatory = Speed_observatory()
observatory, scheduler, observations = fs.sim_runner(observatory, scheduler, survey_length=self.survey_length)
return -1 * fs.simple_performance_measure(observations, self.pref)
def testBaseline(self):
"""
Set up a baseline survey and run for a few days. A crude way to touch lots of code.
"""
nside = fs.set_default_nside(nside=32)
survey_length = 2.1 # days
# Define what we want the final visit ratio map to look like
target_map = fs.standard_goals(nside=nside)
filters = ['u', 'g', 'r', 'i', 'z', 'y']
surveys = []
for filtername in filters:
bfs = []
bfs.append(fs.M5_diff_basis_function(filtername=filtername, nside=nside))
bfs.append(fs.Target_map_basis_function(filtername=filtername,
target_map=target_map[filtername],
out_of_bounds_val=hp.UNSEEN, nside=nside))
bfs.append(fs.North_south_patch_basis_function(zenith_min_alt=50., nside=nside))
bfs.append(fs.Slewtime_basis_function(filtername=filtername, nside=nside))
bfs.append(fs.Strict_filter_basis_function(filtername=filtername))
weights = np.array([3.0, 0.3, 1., 3., 3.])
surveys.append(fs.Greedy_survey_fields(bfs, weights, block_size=1, filtername=filtername,
dither=True, nside=nside))
surveys.append(fs.Pairs_survey_scripted([], [], ignore_obs='DD'))
# Set up the DD
dd_surveys = fs.generate_dd_surveys()
surveys.extend(dd_surveys)
scheduler = fs.Core_scheduler(surveys, nside=nside)
observatory = Speed_observatory(nside=nside)
observatory, scheduler, observations = fs.sim_runner(observatory, scheduler,
survey_length=survey_length,
filename=None)
# Check that a second part of a pair was taken
assert('scripted' in observations['note'])
# Check that the COSMOS DD was observed
assert('DD:COSMOS' in observations['note'])
# And the u-band
assert('DD:u,COSMOS' in observations['note'])
# Make sure a few different filters were observed
assert(len(np.unique(observations['filter'])) > 3)
# Make sure lots of observations executed
assert(observations.size > 1000)
def testsched(self):
target_map = fs.standard_goals()['r']
bfs = []
bfs.append(fs.M5_diff_basis_function())
bfs.append(fs.Target_map_basis_function(target_map=target_map))
weights = np.array([1., 1])
survey = fs.Simple_greedy_survey_fields(bfs, weights)
scheduler = fs.Core_scheduler([survey])
observatory = Speed_observatory()
# Check that we can update conditions
scheduler.update_conditions(observatory.return_status())
# Check that we can get an observation out
obs = scheduler.request_observation()
assert (obs is not None)
# Check that we can flush the Queue
scheduler.flush_queue()
assert (len(scheduler.queue) == 0)
# Check that we can add an observation
scheduler.add_observation(obs)
target_map = fs.standard_goals()['r']
filtername = 'r'
bfs = []
bfs.append(fs.Depth_percentile_basis_function(filtername=filtername))
bfs.append(
fs.Target_map_basis_function(target_map=target_map,
filtername=filtername,
out_of_bounds_val=hp.UNSEEN))
bfs.append(fs.North_south_patch_basis_function(zenith_min_alt=50.))
bfs.append(fs.Slewtime_basis_function(filtername=filtername))
weights = np.array([1., 0.2, 1., 2.])
survey = fs.Greedy_survey_fields(bfs,
weights,
block_size=1,
filtername=filtername)
scheduler = fs.Core_scheduler([survey])
observatory = Speed_observatory()
observatory, scheduler, observations = fs.sim_runner(
observatory,
scheduler,
survey_length=survey_length,
filename='one_filter_10yr.db',
delete_past=True)
#real 2218m35.723s 37 hours
#user 2183m17.980s
#sys 9m35.290s
from lsst.sims.speedObservatory import Speed_observatory
import lsst.sims.featureScheduler as fs
import numpy as np
from blob_same_zmask import generate_slair_scheduler
import time
t0 = time.time()
survey_length = 1.
years = np.round(survey_length/365.25)
nside = fs.set_default_nside(nside=32)
scheduler = generate_slair_scheduler()
observatory = Speed_observatory(nside=nside, quickTest=False)
observatory, scheduler, observations = fs.sim_runner(observatory, scheduler,
survey_length=survey_length,
filename='blobs_same_zmask%iyrs.db' % years,
delete_past=True)
trun = time.time() - t0
print('ran in %i, %i minutes=%i hours' % (trun, trun/60., trun/3600.))
filtername='gri'))
weights = np.array([3.0, 0.3, 0.3, 1., 3., 3., 0., 3.])
# Might want to try ignoring DD observations here, so the DD area gets covered normally--DONE
sv = fs.Greedy_survey_fields(bfs,
weights,
block_size=1,
filtername=filtername,
dither=True,
nside=nside,
ignore_obs='DD')
greedy_surveys.append(sv)
# Set up the DD surveys
dd_surveys = fs.generate_dd_surveys()
survey_list_o_lists = [dd_surveys, surveys, greedy_surveys]
scheduler = fs.Core_scheduler(survey_list_o_lists, nside=nside)
n_visit_limit = None
observatory = Speed_observatory(nside=nside, quickTest=True)
observatory, scheduler, observations = fs.sim_runner(
observatory,
scheduler,
survey_length=survey_length,
filename='rolling_mix_%iyrs.db' % years,
delete_past=True,
n_visit_limit=n_visit_limit)
t1 = time.time()
delta_t = t1 - t0
print('ran in %.1f min = %.1f hours' % (delta_t / 60., delta_t / 3600.))
surveys.append(fs.Greedy_survey_fields(bfs, weights, block_size=1, filtername=filtername,
dither=True, nside=nside))
surveys.append(fs.Pairs_survey_scripted([], [], ignore_obs='DD'))
# Set up the DD
dd_survey = fs.Scripted_survey([], [])
names = ['RA', 'dec', 'mjd', 'filter']
types = [float, float, float, '|1U']
observations = np.loadtxt('minion_dd.csv', skiprows=1, dtype=list(zip(names, types)), delimiter=',')
exptimes = np.zeros(observations.size)
exptimes.fill(30.)
observations = append_fields(observations, 'exptime', exptimes)
nexp = np.zeros(observations.size)
nexp.fill(2)
observations = append_fields(observations, 'nexp', nexp)
notes = np.zeros(observations.size, dtype='|2U')
notes.fill('DD')
observations = append_fields(observations, 'note', notes)
dd_survey.set_script(observations)
surveys.append(dd_survey)
scheduler = fs.Core_scheduler(surveys, nside=nside)
observatory = Speed_observatory(nside=nside)
observatory, scheduler, observations = fs.sim_runner(observatory, scheduler,
survey_length=survey_length,
filename='full_nside32_%i.db' % years,
delete_past=True)
# 1962m28.940s = 32.7 hr
for filtername in filters:
bfs = []
bfs.append(fs.M5_diff_basis_function(filtername=filtername, nside=nside))
bfs.append(fs.Target_map_basis_function(filtername=filtername,
target_map=target_map[filtername],
out_of_bounds_val=hp.UNSEEN, nside=nside))
bfs.append(fs.North_south_patch_basis_function(zenith_min_alt=50., nside=nside))
#bfs.append(fs.Zenith_mask_basis_function(maxAlt=78., penalty=-100, nside=nside))
bfs.append(fs.Slewtime_basis_function(filtername=filtername, nside=nside))
bfs.append(fs.Strict_filter_basis_function(filtername=filtername))
weights = np.array([3.0, 0.3, 1., 3., 3.])
# Might want to try ignoring DD observations here, so the DD area gets covered normally--DONE
surveys.append(fs.Greedy_survey_fields(bfs, weights, block_size=1, filtername=filtername,
dither=True, nside=nside, ignore_obs='DD'))
surveys.append(fs.Pairs_survey_scripted([], [], ignore_obs='DD', min_alt=20.))
# Set up the DD
dd_surveys = fs.generate_dd_surveys()
surveys.extend(dd_surveys)
scheduler = fs.Core_scheduler(surveys, nside=nside)
observatory = Speed_observatory(nside=nside, mjd_start=59853.)
observatory, scheduler, observations = fs.sim_runner(observatory, scheduler,
survey_length=survey_length,
filename='my_baseline_newSpeed%iyrs.db' % years,
delete_past=True)
# real 1751m55.325s = 29 hours
