def airmass_plots(KPNO=False,ING=False,MLO=False):
observer_site = Observer.at_site("Kitt Peak", timezone="US/Mountain")
if KPNO:
print('plotting airmass curves for Kitt Peak')
observing_location = EarthLocation.of_site('Kitt Peak')
observer_site = Observer.at_site("Kitt Peak", timezone="US/Mountain")
start_time = Time('2017-03-12 01:00:00') # UTC time, so 1:00 UTC = 6 pm AZ mountain time
end_time = Time('2017-03-12 14:00:00')
elif MLO:
print('plotting airmass curves for MLO')
observing_location = EarthLocation.of_site(u'Palomar')
observer_site = Observer.at_site("Palomar", timezone="US/Pacific")
# for run starting 2019-Apr-04 at MLO
start_time = Time('2019-04-03 01:00:00') # need to enter UTC time, MLO UTC+6?
end_time = Time('2019-04-03 14:00:00')
elif ING:
print('plotting airmass curves for INT')
observing_location = EarthLocation.of_site(u'Roque de los Muchachos')
observer_site = Observer.at_site("Roque de los Muchachos", timezone="GMT")
# for run starting 2019-Feb-04 at INT
start_time = Time('2019-02-04 19:00:00') # INT is on UTC
end_time = Time('2019-02-05 07:00:00')
#observing_time = Time('2017-05-19 07:00') # 1am UTC=6pm AZ mountain time
#observing_time = Time('2018-03-12 07:00') # 1am UTC=6pm AZ mountain time
#aa = AltAz(location=observing_location, obstime=observing_time)
#for i in range(len(pointing_ra)):
delta_t = end_time - start_time
observing_time = start_time + delta_t*np.linspace(0, 1, 75)
nplots = int(sum(obs_mass_flag)/8.)
print(nplots)
for j in range(nplots):
plt.figure()
legend_list = []
for i in range(8):
pointing_center = coords.SkyCoord(pointing_ra[8*j+i]*u.deg, pointing_dec[8*j+i]*u.deg, frame='icrs')
if i == 3:
plot_airmass(pointing_center,observer_site,observing_time,brightness_shading=True)
else:
plot_airmass(pointing_center,observer_site,observing_time)
legend_list.append('Pointing %02d'%(8*j+i+1))
plt.legend(legend_list)
#plt.ylim(0.9,2.5)
plt.gca().invert_yaxis()
plt.subplots_adjust(bottom=.15)
#plt.axvline(x=7*u.hour,ls='--',color='k')
plt.axhline(y=2,ls='--',color='k')
plt.savefig(outfile_prefix+'airmass-%02d.png'%(j+1))
def main():
ticid = '268301217'
ra = '07:45:28.97'
dec = '-52:22:59.73'
t0 = 2458860.60021 * u.day # BJD_TDB
period = 0.94667643 * u.day
site = Observer.at_site('Cerro Tololo')
start_time = Time('2020-10-24 22:00:00')
end_time = Time('2020-11-06 07:00:00')
# axvspan windows
obs_per_night = [(Time('2020-10-{}'.format(str(d).zfill(2)) + ' 06:00:00'),
Time('2020-10-{}'.format(str(d).zfill(2)) + ' 10:00:00'))
for d in range(24, 32)]
for d in range(1, 6):
obs_per_night.append(
(Time('2020-11-{}'.format(str(d).zfill(2)) + ' 06:00:00'),
Time('2020-11-{}'.format(str(d).zfill(2)) + ' 10:00:00')))
plot_quadrature_windows(ra,
dec,
ticid,
t0,
period,
start_time,
end_time,
site,
obs_per_night=obs_per_night,
N_points=500)
def test_docs_example():
# Test the example in astroplan/docs/tutorials/constraints.rst
target_table_string = """# name ra_degrees dec_degrees
Polaris 37.95456067 89.26410897
Vega 279.234734787 38.783688956
Albireo 292.68033548 27.959680072
Algol 47.042218553 40.955646675
Rigel 78.634467067 -8.201638365
Regulus 152.092962438 11.967208776"""
from astroplan import Observer, FixedTarget
from astropy.time import Time
subaru = Observer.at_site("Subaru")
time_range = Time(["2015-08-01 06:00", "2015-08-01 12:00"])
# Read in the table of targets
from astropy.io import ascii
target_table = ascii.read(target_table_string)
# Create astroplan.FixedTarget objects for each one in the table
from astropy.coordinates import SkyCoord
import astropy.units as u
targets = [FixedTarget(coord=SkyCoord(ra=ra*u.deg, dec=dec*u.deg), name=name)
for name, ra, dec in target_table]
from astroplan import Constraint, is_observable
class VegaSeparationConstraint(Constraint):
"""
Constraint the separation from Vega
"""
def __init__(self, min=None, max=None):
"""
min : `~astropy.units.Quantity` or `None` (optional)
Minimum acceptable separation between Vega and target. `None`
indicates no limit.
max : `~astropy.units.Quantity` or `None` (optional)
Minimum acceptable separation between Vega and target. `None`
indicates no limit.
"""
self.min = min if min else 0*u.deg
self.max = max if max else 180*u.deg
def compute_constraint(self, times, observer, targets):
vega = SkyCoord(ra=279.23473479*u.deg, dec=38.78368896*u.deg)
# Calculate separation between target and vega
# Targets are automatically converted to SkyCoord objects
# by __call__ before compute_constraint is called.
vega_separation = vega.separation(targets)
# Return an array that is True where the target is observable and
# False where it is not
return (self.min < vega_separation) & (vega_separation < self.max)
constraints = [VegaSeparationConstraint(min=5*u.deg, max=30*u.deg)]
observability = is_observable(constraints, subaru, targets,
time_range=time_range)
assert all(observability == [False, False, True, False, False, False])
async def test_scheduler():
# init observer and time
observer = Observer.at_site('SAAO')
now = Time('2019-11-21T17:10:00Z')
# have some test functions
functions = {
'B': ' exp(-1.22034 * (h + 3.16086))',
'V': ' exp(-1.27565 * (h + 3.48265))',
'R': ' exp(-1.39148 * (h + 3.63401))',
}
# set constant priorities
priorities = ConstSkyflatPriorities({('B', (1, 1)): 1, ('V', (1, 1)): 2, ('R', (1, 1)): 3})
# create scheduler
scheduler = Scheduler(functions, priorities, observer)
await scheduler(now)
# test order
assert scheduler[0].filter_name == 'B'
assert scheduler[1].filter_name == 'V'
assert scheduler[2].filter_name == 'R'
# test start/end times
assert scheduler[0].start == 1160
assert pytest.approx(scheduler[0].end, 0.01) == 1200.46
assert scheduler[1].start == 1270
assert pytest.approx(scheduler[1].end, 0.01) == 1310.59
assert scheduler[2].start == 1330
assert pytest.approx(scheduler[2].end, 0.01) == 1370.59
def test_docs_example():
# Test the example in astroplan/docs/tutorials/constraints.rst
target_table_string = """# name ra_degrees dec_degrees
Polaris 37.95456067 89.26410897
Vega 279.234734787 38.783688956
Albireo 292.68033548 27.959680072
Algol 47.042218553 40.955646675
Rigel 78.634467067 -8.201638365
Regulus 152.092962438 11.967208776"""
from astroplan import Observer, FixedTarget
from astropy.time import Time
subaru = Observer.at_site("Subaru")
time_range = Time(["2015-08-01 06:00", "2015-08-01 12:00"])
# Read in the table of targets
from astropy.io import ascii
target_table = ascii.read(target_table_string)
# Create astroplan.FixedTarget objects for each one in the table
from astropy.coordinates import SkyCoord
import astropy.units as u
targets = [FixedTarget(coord=SkyCoord(ra=ra*u.deg, dec=dec*u.deg), name=name)
for name, ra, dec in target_table]
from astroplan import Constraint, is_observable
class VegaSeparationConstraint(Constraint):
"""
Constraint the separation from Vega
"""
def __init__(self, min=None, max=None):
"""
min : `~astropy.units.Quantity` or `None` (optional)
Minimum acceptable separation between Vega and target. `None`
indicates no limit.
max : `~astropy.units.Quantity` or `None` (optional)
Minimum acceptable separation between Vega and target. `None`
indicates no limit.
"""
self.min = min if min else 0*u.deg
self.max = max if max else 180*u.deg
def compute_constraint(self, times, observer, targets):
vega = SkyCoord(ra=279.23473479*u.deg, dec=38.78368896*u.deg)
# Calculate separation between target and vega
# Targets are automatically converted to SkyCoord objects
# by __call__ before compute_constraint is called.
vega_separation = vega.separation(targets)
# Return an array that is True where the target is observable and
# False where it is not
return (self.min < vega_separation) & (vega_separation < self.max)
constraints = [VegaSeparationConstraint(min=5*u.deg, max=30*u.deg)]
observability = is_observable(constraints, subaru, targets,
time_range=time_range)
assert all(observability == [False, False, True, False, False, False])
def __init__(self):
self.scheduler = scheduler.Scheduler()
self.observatory = Observer.at_site(
"Anglo-Australian Observatory"
) # TODO: enter LAT and LON coordinates
self.ra_current = None
self.dec_current = None
self.number_of_tiles = self.scheduler.number_of_all_tiles(
) # total number of all the tiles in this tiling run
self.number_of_tiles_observed = 0
self.unique_targets = set()
self.repeats = Dictlist()
self.total_number_cumulative_unique = 0 # EXcluding repeated observations
self.total_number_cumulative = 0 # INcluding repeated observations
self.number_of_tiles_observed = 0
self.number_of_all_tiles = scheduler.number_of_all_tiles()
self.dt = TimeDelta(0, format='sec')
self.time_with_no_observing = TimeDelta(0, format='sec')
# print output
self.f = open(params_simulator.params['simulator_statistics_output'],
'wb')
self.f.write(
'# time; tile_id; Ntargets_in_this_tile; Nunique_targets_in_this_tile; Ntotal_number_cumulative_unique; Ntotal_number_cumulative; priority; weight; mag_max; json_filename \n'
)
# Print calibration files (times)
self.fc = open(
params_simulator.params['simulator_statistics_output_calibration'],
'wb')
def __init__(self,
coordinates,
observatory='Mt Graham',
night=None,
timezone='UTC',
ax=None,
timedelta=None):
if not isinstance(coordinates, SkyCoord):
self.coord = SkyCoord(coordinates, unit=(u.hourangle, u.deg))
else:
self.coord = coordinates
try:
self.observer = Observer.at_site(observatory, timezone=timezone)
except USE:
print EarthLocation.get_site_names()
raise
if not night:
self.time = Time.now()
else:
self.time = Time(night)
if timedelta:
self.time = timedelta
self.ax = ax
self._make_figure()
def dct_astroplan_loc():
location_name = 'Discovery Channel Telescope'
try:
dct_loc_dict = pickle.load(open(settings.DCT_ASTROPLAN_LOC_PICKLE, 'rb'))
except FileNotFoundError:
dct_loc_dict = {'archive_time': dt.utcnow(), 'location': Observer.at_site(location_name)}
file = open(settings.DCT_ASTROPLAN_LOC_PICKLE, 'wb')
pickle.dump(dct_loc_dict, file)
file.close()
archive_time = dct_loc_dict['archive_time']
dct_loc_obj = dct_loc_dict['location']
if (dt.utcnow()-archive_time) > td(days=2):
from astroplan import download_IERS_A
download_IERS_A()
dct_loc_dict = {'archive_time': dt.utcnow(), 'location': Observer.at_site(location_name)}
file = open(settings.DCT_ASTROPLAN_LOC_PICKLE, 'wb')
pickle.dump(dct_loc_dict, file)
file.close()
return dct_loc_obj
def test_caches_shapes():
times = Time([2457884.43350526, 2457884.5029497, 2457884.57239415], format='jd')
m31 = SkyCoord(10.6847929*u.deg, 41.269065*u.deg)
ippeg = SkyCoord(350.785625*u.deg, 18.416472*u.deg)
htcas = SkyCoord(17.5566667*u.deg, 60.0752778*u.deg)
targets = get_skycoord([m31, ippeg, htcas])
observer = Observer.at_site('lapalma')
ac = AltitudeConstraint(min=30*u.deg)
assert ac(observer, targets, times, grid_times_targets=True).shape == (3, 3)
assert ac(observer, targets, times, grid_times_targets=False).shape == (3,)
def test_caches_shapes():
times = Time([2457884.43350526, 2457884.5029497, 2457884.57239415], format='jd')
m31 = SkyCoord(10.6847929*u.deg, 41.269065*u.deg)
ippeg = SkyCoord(350.785625*u.deg, 18.416472*u.deg)
htcas = SkyCoord(17.5566667*u.deg, 60.0752778*u.deg)
targets = get_skycoord([m31, ippeg, htcas])
observer = Observer.at_site('lapalma')
ac = AltitudeConstraint(min=30*u.deg)
assert ac(observer, targets, times, grid_times_targets=True).shape == (3, 3)
assert ac(observer, targets, times, grid_times_targets=False).shape == (3,)
def getObservingTimeStartAndEnd():
# midnight = Time(date+' 00:00:00') - utcoffset
obs = Observer.at_site(
observatoryName) #, timezone='Eastern Standard Time')
observationStartTime = obs.twilight_evening_astronomical(
midnight) #Time('2019-9-5 19:10:00') - utcoffset
observationEndTime = obs.twilight_morning_astronomical(
midnight) #Time('2019-9-6 4:55:00') - utcoffset
observationStartTime.format = 'iso'
observationEndTime.format = 'iso'
return [observationStartTime + utcoffset, observationEndTime + utcoffset]
def get_kp_twilights(tt, dd): # example: '2020-01-01 12:00:00'
kp = Observer.at_site("Kitt Peak", timezone="MST")
ds = str(dd[0]) + '-' + str(dd[1]) + '-' + str(dd[2])
ts = str(tt[0]) + ':' + str(tt[1]) + ':' + str(tt[2])
t = Time(ds + ' ' + ts)
eve = kp.twilight_evening_astronomical(t, which='next').datetime
mor = kp.twilight_morning_astronomical(t, which='next').datetime
return eve, mor
def test_regression_shapes(constraint):
times = Time(["2015-08-28 03:30", "2015-09-05 10:30", "2015-09-15 18:35"])
targets = get_skycoord([FixedTarget(SkyCoord(350.7*u.deg, 18.4*u.deg)),
FixedTarget(SkyCoord(260.7*u.deg, 22.4*u.deg))])
lapalma = Observer.at_site('lapalma')
assert constraint(lapalma, targets[:, np.newaxis], times).shape == (2, 3)
assert constraint(lapalma, targets[0], times).shape == (3,)
assert np.array(constraint(lapalma, targets[0], times[0])).shape == ()
assert np.array(constraint(lapalma, targets, times[0])).shape == (2,)
with pytest.raises(ValueError):
constraint(lapalma, targets, times)
def test_regression_shapes(constraint):
times = Time(["2015-08-28 03:30", "2015-09-05 10:30", "2015-09-15 18:35"])
targets = get_skycoord([FixedTarget(SkyCoord(350.7*u.deg, 18.4*u.deg)),
FixedTarget(SkyCoord(260.7*u.deg, 22.4*u.deg))])
lapalma = Observer.at_site('lapalma')
assert constraint(lapalma, targets[:, np.newaxis], times).shape == (2, 3)
assert constraint(lapalma, targets[0], times).shape == (3,)
assert constraint(lapalma, targets[0], times[0]).shape == ()
assert constraint(lapalma, targets, times[0]).shape == (2,)
with pytest.raises(ValueError):
constraint(lapalma, targets, times)
def get_sunset_mjd(mjd, site='CTIO'):
'''
Returns an MJD of sunset prior to input mjd as float - not a Time Object
'''
if ASTROPLAN_EXISTS:
ctio = Observer.at_site(site)
detect_time = Time(mjd, format='mjd')
sun_set = ctio.sun_set_time(detect_time, which='previous').mjd
NITE = sun_set
else:
NITE = mjd
return NITE
def test_regression_shapes(constraint):
times = Time(["2015-08-28 03:30", "2015-09-05 10:30", "2015-09-15 18:35"])
targets = [
FixedTarget(SkyCoord(350.7 * u.deg, 18.4 * u.deg)),
FixedTarget(SkyCoord(260.7 * u.deg, 22.4 * u.deg))
]
lapalma = Observer.at_site('lapalma')
assert constraint(lapalma, targets, times).shape == (2, 3)
assert constraint(lapalma, [targets[0]], times).shape == (1, 3)
assert constraint(lapalma, [targets[0]], times[0]).shape == (1, 1)
assert constraint(lapalma, targets, times[0]).shape == (2, 1)
def minimal_example():
apo = Observer.at_site('APO', timezone='US/Mountain')
target = FixedTarget.from_name("HD 209458")
primary_eclipse_time = Time(2452826.628514, format='jd')
orbital_period = 3.52474859 * u.day
eclipse_duration = 0.1277 * u.day
hd209458 = EclipsingSystem(primary_eclipse_time=primary_eclipse_time,
orbital_period=orbital_period,
duration=eclipse_duration,
name='HD 209458 b')
n_transits = 100 # This is the roughly number of transits per year
obs_time = Time('2017-01-01 12:00')
midtransit_times = hd209458.next_primary_eclipse_time(
obs_time, n_eclipses=n_transits)
import astropy.units as u
min_local_time = dt.time(18, 0) # 18:00 local time at APO (7pm)
max_local_time = dt.time(8, 0) # 08:00 local time at APO (5am)
constraints = [
AtNightConstraint.twilight_civil(),
AltitudeConstraint(min=30 * u.deg),
LocalTimeConstraint(min=min_local_time, max=max_local_time)
]
# just at midtime
b = is_event_observable(constraints, apo, target, times=midtransit_times)
# completely observable transits
observing_time = Time('2016-01-01 00:00')
ing_egr = hd209458.next_primary_ingress_egress_time(observing_time,
n_eclipses=n_transits)
ibe = is_event_observable(constraints,
apo,
target,
times_ingress_egress=ing_egr)
oot_duration = 30 * u.minute
oot_ing_egr = np.concatenate(
(np.array(ing_egr[:, 0] - oot_duration)[:, None],
np.array(ing_egr[:, 1] + oot_duration)[:, None]),
axis=1)
oibeo = is_event_observable(constraints,
apo,
target,
times_ingress_egress=oot_ing_egr)
def test_timetable():
from astropy.time import Time
from astroplan import Observer
start = Time('2018-07-01 20:00:00')
end = Time('2018-07-02 20:00:00')
utc_to_local = -4. * u.h
site = Observer.at_site('gemini_south')
assert isinstance(time_table(site, start, utc_to_local, end=end), Table)
print('Test successful!')
return
def query_up(self, time=None):
if time is None:
time = datetime.datetime.now(tz=pytz.timezone("US/Arizona"))
bigelow = Observer.at_site("mtbigelow", timezone="US/Arizona")
st = bigelow.local_sidereal_time(time).deg
lower_ra = self.__getattr__('ra_deg') > (st - 15 * 5)
upper_ra = (st + 15 * 5) > self.__getattr__('ra_deg')
lower_dec = self.__getattr__('dec_deg') > -30.0
upper_dec = 60.0 > self.__getattr__('dec_deg')
qry = self.query().filter(lower_ra).filter(upper_ra).filter(
lower_dec).filter(upper_dec)
return qry
def __init__(self,
time_range,
targets,
site='cfht',
constraints=None,
supp_cols=None):
# Get infos from the MasterFile
if isinstance(targets, list):
info = load_from_masterfile(*targets)
supp_cols = supp_cols or [
'pl_orbper', 'st_j', 'st_h', 'ra', 'dec', 'pl_eqt', 'st_teff'
]
else:
info = targets.copy()
if supp_cols is None:
supp_cols = list(info.keys())
supp_cols.remove('pl_name')
# Default constraint
if constraints is None:
constraints = [
AtNightConstraint.twilight_nautical(),
AirmassConstraint(max=2.5)
]
# Define time constraint and append it
t1, t2 = Time(time_range)
constraints.append(TimeConstraint(t1, t2))
# Convert to List_of_constraints (useful to print and save)
constraints_list = List_of_constraints(constraints)
# Save infos
self.info = info
self.constraints = constraints_list
self.meta = {
'Time_limits': [t1, t2],
'Target_list': info['pl_name'].tolist(),
'Site': site,
**constraints_list.show()
}
self.supp_cols = supp_cols
self.info_cols = ['pl_name'] + supp_cols
self.obs = Observer.at_site(site)
# self.n_eclipses = n_eclipses
# Resolve targets
self.targets = [self.resolve_target(i) for i in range(len(targets))]
def getsite(site_name, daylightsavings):
"""
Initialize '~astroplan.Observer' for Cerro Pachon or Mauna Kea.
Parameters
----------
site_name : string
Observatory site name.
Allowed locations...
- 'gemini_north' or 'MK' (Mauna Kea)
- 'gemini_south' or 'CP' (Cerro Pachon).
daylightsavings : boolean
Toggle daylight savings tot_time (does not apply to Gemini North)
Returns
-------
site : '~astroplan.Observer'
Observatory site location object.
timezone_name : string
Pytz timezone name for observatory site
utc_to_local : '~astropy.units' hours
Time difference between utc and local tot_time in hours.
"""
if np.logical_or(site_name == 'gemini_south', site_name == 'CP'):
site_name = 'gemini_south'
timezone_name = 'Chile/Continental'
if daylightsavings:
utc_to_local = -3.*u.h
else:
utc_to_local = -4.*u.h
elif np.logical_or(site_name == 'gemini_north', site_name == 'MK'):
site_name = 'gemini_north'
timezone_name = 'US/Hawaii'
utc_to_local = -10.*u.h
else:
print('Input error: Could not determine observer location and timezone. '
'Allowed inputs are \'gemini_south\', \'CP\'(Cerro Pachon), \'gemini_north\', and \'MK\'(Mauna Kea).')
raise ValueError
# Create Observer object for observatory site
# Note: can add timezone=timezone_name later
# if desired (useful if pytz objects used)
site = Observer.at_site(site_name)
return site, timezone_name, utc_to_local
def test_regression_airmass_141():
subaru = Observer.at_site("Subaru")
time = Time('2001-1-1 12:00')
coord = SkyCoord(ra=16 * u.hour, dec=20 * u.deg)
assert subaru.altaz(time, coord).alt < 0 * u.deg
# ok, it's below the horizon, so it *definitely* should fail an airmass
# constraint of being above 2. So both of these should give False:
consmax = AirmassConstraint(2)
consminmax = AirmassConstraint(2, 1)
assert not consminmax(subaru, [coord], [time]).ravel()[0]
# prior to 141 the above works, but the below FAILS
assert not consmax(subaru, [coord], [time]).ravel()[0]
def test_regression_airmass_141():
subaru = Observer.at_site("Subaru")
time = Time("2001-1-1 12:00")
coord = SkyCoord(ra=16 * u.hour, dec=20 * u.deg)
assert subaru.altaz(time, coord).alt < 0 * u.deg
# ok, it's below the horizon, so it *definitely* should fail an airmass
# constraint of being above 2. So both of these should give False:
consmax = AirmassConstraint(2)
consminmax = AirmassConstraint(2, 1)
assert not consminmax(subaru, [coord], [time]).ravel()[0]
# prior to 141 the above works, but the below FAILS
assert not consmax(subaru, [coord], [time]).ravel()[0]
def make_airmass_chart(name="WASP 4"):
target = FixedTarget.from_name(name)
observer = Observer.at_site('keck')
constraints = [
AltitudeConstraint(min=20 * u.deg, max=85 * u.deg),
AtNightConstraint.twilight_civil()
]
best_months = months_observable(constraints, observer, [target])
# computed observability on "best_months" grid of 0.5 hr
print('for {}, got best-months on 0.5 hour grid:'.format(name))
print(best_months)
print('where 1 = Jan, 2 = Feb, etc.')
def telescope_can_observe(ra, dec, date, tel):
time = Time(date)
sc = SkyCoord(ra, dec, unit=u.deg)
tel = Observer.at_site(tel)
night_start = tel.twilight_evening_astronomical(time, which="previous")
night_end = tel.twilight_morning_astronomical(time, which="previous")
can_obs = False
for jd in np.arange(night_start.mjd, night_end.mjd, 0.02):
time = Time(jd, format="mjd")
target_up = tel.target_is_up(time, sc)
if target_up:
can_obs = True
break
return (can_obs)
def get_rot_rates(observatory='Subaru', multiplier=250):
site = EarthLocation.of_site(observatory)
unixtimes = time.Time(val=times, format='unix')
coords = SkyCoord.from_name('* kap And')
apo = Observer.at_site(observatory)
altaz = apo.altaz(unixtimes, coords)
# TODO each dither potion will have its own altaz rather than the stars. Implement that
Earthrate = 2 * np.pi / u.sday.to(u.second)
obs_const = Earthrate * np.cos(site.geodetic.lat.rad)
rot_rate = obs_const * np.cos(altaz.az.radian) / np.cos(altaz.alt.radian)
# rot_rate = [0]*len(times)#obs_const * np.cos(altaz.az.radian) / np.cos(altaz.alt.radian)
if multiplier:
rot_rate = rot_rate * multiplier
return rot_rate
def test_event_observable():
epoch = Time(2452826.628514, format='jd')
period = 3.52474859 * u.day
duration = 0.1277 * u.day
hd209458 = EclipsingSystem(primary_eclipse_time=epoch,
orbital_period=period,
duration=duration,
name='HD 209458 b')
observing_time = Time('2017-09-15 10:20')
apo = Observer.at_site('APO')
target = FixedTarget.from_name("HD 209458")
n_transits = 100 # This is the roughly number of transits per year
ing_egr = hd209458.next_primary_ingress_egress_time(observing_time,
n_eclipses=n_transits)
constraints = [AltitudeConstraint(min=0 * u.deg), AtNightConstraint()]
observable = is_event_observable(constraints,
apo,
target,
times_ingress_egress=ing_egr)
# This answer was validated against the Czech Exoplanet Transit Database
# transit prediction service, at:
# http://var2.astro.cz/ETD/predict_detail.php?delka=254.1797222222222&submit=submit&sirka=32.780277777777776&STARNAME=HD209458&PLANET=b
# There is some disagreement, as the ETD considers some transits which begin
# before sunset or after sunrise to be observable.
cetd_answer = [[
False, False, False, True, False, True, False, True, False, True,
False, True, False, False, False, False, False, False, False, False,
False, False, True, False, True, False, False, False, False, False,
False, False, False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, True, False, False,
False, False, False, False, False, False, False, False, False, False,
False, False, True, False, True, False, False, False, False, False,
False, False, False, False, False, False, False, True, False, True,
False, True, False, True, False, True, False, True, False, False
]]
assert np.all(observable == np.array(cetd_answer))
def main():
site = Observer.at_site('Las Campanas Observatory')
ra = "07:21:28.72"
dec = "-45:34:03.85"
name = "TIC_59859387.01"
start_time = Time('2020-02-05 23:30:00')
end_time = Time('2020-02-06 09:30:00')
##########################################
range_time = end_time - start_time
observe_time = start_time + range_time*np.linspace(0,1,100)
if (isinstance(ra, u.quantity.Quantity) and
isinstance(dec, u.quantity.Quantity)
):
target_coord = SkyCoord(ra=ra, dec=dec)
elif (isinstance(ra, str) and
isinstance(dec, str)
):
target_coord = SkyCoord(ra=ra, dec=dec, unit=(u.hourangle, u.deg))
else:
raise NotImplementedError
target = FixedTarget(coord=target_coord, name=name)
outdir = "../results/{}".format(name)
if not os.path.exists(outdir):
os.mkdir(outdir)
outname = '{}_{}_start{}_airmass.png'.format(
name, site.name.replace(' ','_'), repr(start_time.value)
)
outpath = os.path.join(outdir,outname)
plot_airmass(target, site, observe_time, style_sheet=dark_style_sheet,
altitude_yaxis=True)
plt.tight_layout()
plt.savefig(outpath, dpi=250, bbox_inches='tight')
print('made {}'.format(outpath))
def test_eclipses():
subaru = Observer.at_site("Subaru")
epoch = Time('2016-01-01')
period = 3 * u.day
duration = 1 * u.hour
eclipsing_system = EclipsingSystem(primary_eclipse_time=epoch, orbital_period=period,
duration=duration, name='test system')
pec = PrimaryEclipseConstraint(eclipsing_system)
times = Time(['2016-01-01 00:00', '2016-01-01 03:00', '2016-01-02 12:00'])
assert np.all(np.array([True, False, False]) == pec(subaru, None, times))
sec = SecondaryEclipseConstraint(eclipsing_system)
times = Time(['2016-01-01 00:00', '2016-01-01 03:00', '2016-01-02 12:00'])
assert np.all(np.array([False, False, True]) == sec(subaru, None, times))
pc = PhaseConstraint(eclipsing_system, min=0.2, max=0.5)
times = Time(['2016-01-01 00:00', '2016-01-02 12:00', '2016-01-02 14:00'])
assert np.all(np.array([False, True, False]) == pc(subaru, None, times))
def __init__(self):
"""
Parameters
----------
ra_current, dec_current: float, degrees
Current position of telescope. This position is needed to determine slew time to the next target. This data comes directly from Jeeves.
For the start of the night it is best to start at meridian (telescope is not parked there). Later on take current telescope position into account.
Data needed from Jeeves:
ra_current, dec_current
weather
"""
self.tiles = TILES # TODO: do I now have 2 copies of TILES?
self.determine_internal_tile_id_and_priorities()
self.observed_tiles = manage_list_of_observed_tiles.load_internal_list_of_observed_tile_ids()
self.group_tiles_per_magnitude_range() # Need this for magnitude range weight determination
self.limiting_magnitude=None
self.observatory = Observer.at_site("Anglo-Australian Observatory") # TODO: enter LAT and LON coordinates
self.location = EarthLocation(lat=params.params['LAT']*u.deg, lon=params.params['LON']*u.deg, height=params.params['EL']*u.m)
def set_obs_time(self, coords, site, date):
"""Choose times to begin and end observing the PIC between its rise and set.
:param coords: coordinates of the PIC object from SkyCoord
:param site: name of the site the unit is at, from astroplan
:param date: the date of the observation
:return: randomized start and end time of observation
"""
loc = Observer.at_site(site)
# Use astroplan to get rise and set of star, and get reasonable random
# obs_time and duration
rise = loc.target_rise_time(date, coords, which='next')
rise_time = datetime.strptime(rise.isot, "%Y-%m-%dT%H:%M:%S.%f")
set = loc.target_set_time(rise_time, coords, which='next')
set_time = datetime.strptime(set.isot, "%Y-%m-%dT%H:%M:%S.%f")
start_time = self.random_time(rise_time, set_time)
seq_duration = self.random_duration(start_time, set_time)
end_time = start_time + seq_duration
return start_time, end_time
def set_obs_time(self, coords, site, date):
"""Choose times to begin and end observing the PIC between its rise and set.
:param coords: coordinates of the PIC object from SkyCoord
:param site: name of the site the unit is at, from astroplan
:param date: the date of the observation
:return: randomized start and end time of observation
"""
loc = Observer.at_site(site)
# Use astroplan to get rise and set of star, and get reasonable random
# obs_time and duration
rise = loc.target_rise_time(date, coords, which='next')
rise_time = datetime.strptime(rise.isot, "%Y-%m-%dT%H:%M:%S.%f")
set = loc.target_set_time(rise_time, coords, which='next')
set_time = datetime.strptime(set.isot, "%Y-%m-%dT%H:%M:%S.%f")
start_time = self.random_time(rise_time, set_time)
seq_duration = self.random_duration(start_time, set_time)
end_time = start_time + seq_duration
return start_time, end_time
def read_transits(file, site='Keck', frac=1.0):
"""
read transits from exoplanet archive transit planner CSV file
site options from astroplan: e.g. KPNO, Keck
"""
data = Table.read(file,format='ascii')
startimes = data['targetobsstartcalendar']
endtimes = data['targetobsendcalendar']
midtimes = data['midpointcalendar']
duration = data['transitduration']
fracs = data['fractionobservable']
full_transits = np.where(fracs>=frac)[0]
target = FixedTarget.from_name(planet.strip('b'))
obs = Observer.at_site(site)
return startimes[full_transits], endtimes[full_transits], midtimes[full_transits], duration[full_transits], target, obs
def get_observability_fraction(name="WASP 4", site='keck', ra=None, dec=None,
start_time=Time('2019-09-13 20:00:00'),
end_time=Time('2020-07-31 20:00:00')):
if isinstance(name,str) and ra is None and dec is None:
target = FixedTarget.from_name(name)
elif isinstance(ra,float) and isinstance(dec,float):
target_coord = SkyCoord(ra=ra*u.deg, dec=dec*u.deg)
target = FixedTarget(coord=target_coord, name=name)
else:
raise NotImplementedError('failed to make target')
observer = Observer.at_site(site)
constraints = [AltitudeConstraint(min=20*u.deg, max=85*u.deg),
AirmassConstraint(3),
AtNightConstraint.twilight_civil()]
# over every day between start and end time, check if the observing
# constraints are meetable.
days = Time(
np.arange(start_time.decimalyear, end_time.decimalyear,
1/(365.25)),
format='decimalyear'
)
frac, ever_observable = [], []
for day in days:
table = observability_table(constraints, observer, [target],
time_range=day)
frac.append(float(table['fraction of time observable']))
ever_observable.append(bool(table['ever observable']))
ever_observable = np.array(ever_observable)
frac = np.array(frac)
return frac, ever_observable, days
def test_event_observable():
epoch = Time(2452826.628514, format='jd')
period = 3.52474859 * u.day
duration = 0.1277 * u.day
hd209458 = EclipsingSystem(primary_eclipse_time=epoch, orbital_period=period, duration=duration,
name='HD 209458 b')
observing_time = Time('2017-09-15 10:20')
apo = Observer.at_site('APO')
target = FixedTarget.from_name("HD 209458")
n_transits = 100 # This is the roughly number of transits per year
ing_egr = hd209458.next_primary_ingress_egress_time(observing_time,
n_eclipses=n_transits)
constraints = [AltitudeConstraint(min=0*u.deg), AtNightConstraint()]
observable = is_event_observable(constraints, apo, target,
times_ingress_egress=ing_egr)
# This answer was validated against the Czech Exoplanet Transit Database
# transit prediction service, at:
# http://var2.astro.cz/ETD/predict_detail.php?delka=254.1797222222222&submit=submit&sirka=32.780277777777776&STARNAME=HD209458&PLANET=b
# There is some disagreement, as the ETD considers some transits which begin
# before sunset or after sunrise to be observable.
cetd_answer = [[False, False, False, True, False, True, False, True, False,
True, False, True, False, False, False, False, False, False,
False, False, False, False, True, False, True, False, False,
False, False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False, False,
False, False, False, False, False, False, False, False, False,
False, False, False, True, False, False, False, False, False,
False, False, False, False, False, False, False, False, False,
True, False, True, False, False, False, False, False, False,
False, False, False, False, False, False, True, False, True,
False, True, False, True, False, True, False, True, False,
False]]
assert np.all(observable == np.array(cetd_answer))
def create_real_times(tmin,tmax,ndata=50,air_mass_limit=1.5,tformat='mjd',star='K2-100',observatory='lapalma'):
times = []
#Create a observatory instance with astroplan
observatory = Observer.at_site(observatory)
#Create star object from astroplan, the name has to be a valid simbad name for the target
star = FixedTarget.from_name(star)
while len(times) < ndata:
#Draw random time between tmin and tmax
drt = np.random.uniform(tmin,tmax)
#Get the time object from astropy.time
time = Time(drt,format=tformat)
#Compute the air_mass that the target has at time t
air_mass = observatory.altaz(time,star).secz
#If the target is observable at time drt and the air_mass < air_mass_limit then
#We accept the dummy random time
if observatory.target_is_up(time,star) and air_mass < air_mass_limit:
times.append(drt)
#Sort thet times
times = sorted(times)
#Return a numpy array with all the times
return np.array(times)
f.writelines(lines)
print('wrote {}'.format(outpath))
if __name__ == "__main__":
# will change these a lot (TODO: when in bulk -- write argparse interface)
##########################################
#HIRES
#site = Observer.at_site('W. M. Keck Observatory')
#NEID
#site = Observer.at_site('Kitt Peak National Observatory')
#HARPS-N
#site = Observer.at_site('lapalma')
#Las Campanas
site = Observer.at_site('Las Campanas Observatory')
ra = "19:05:30.24"
dec = "-41:26:15.49"
name = "TOI_1130.02"
t_mid_0 = 2458658.73805 # BJD_TDB
period = 4.06719 * u.day
duration = 1.783 * u.hour
# ra = "19:05:30.24"
# dec = "-41:26:15.49"
# name = "TOI_1130.01"
# t_mid_0 = 2458657.89786 # BJD_TDB
# period = 8.3504*u.day
# duration = 1.814*u.hour
from PyQt5 import QtGui, QtCore, QtWidgets
from telescope import Telescope
from allsky import AllSky
import gui
# parse configuration file
config = ConfigObj("config.ini")
location = config["LOCATION"]
objects = config["OBJECTS"]
# set new Observer object from config file
obsLocation = EarthLocation(location["LONGITUDE"], location["LATITUDE"],
float(location["ELEVATION"]))
add_site(location["SITE_NAME"], obsLocation)
# add objects to a dictionary of `astroplan.FixedTarget`s
fixed_targets = {}
for key in objects:
coordinates = SkyCoord(objects[key]["RA"], objects[key]["DEC"])
fixed_targets[key] = FixedTarget(name=key, coord=coordinates)
skymap = AllSky(objects=fixed_targets)
telescope = Telescope(Observer.at_site(location["SITE_NAME"]))
gui.run(telescope, skymap)
#fig = skymap.draw(telescope.Observer)
#fig.savefig("test.png")
def main():
##-------------------------------------------------------------------------
## Parse Command Line Arguments
##-------------------------------------------------------------------------
## create a parser object for understanding command-line arguments
parser = argparse.ArgumentParser(
description="Program description.")
## add flags
## add arguments
parser.add_argument("-y", "--year",
type=int, dest="year",
default=-1,
help="The calendar year to analyze")
parser.add_argument("-s", "--site",
type=str, dest="site",
default='Keck Observatory',
help="Site name to use")
parser.add_argument("-z", "--timezone",
type=str, dest="timezone",
default='US/Hawaii',
help='pytz timezone name')
parser.add_argument("-d", "--dark_time",
type=float, dest="dark_time",
default=2,
help='Minimum dark time required (hours)')
parser.add_argument("-w", "--wait_time",
type=float, dest="wait_time",
default=2.5,
help='Maximum time after dusk to wait for moon set (hours)')
args = parser.parse_args()
if args.year == -1:
args.year = dt.now().year
##-------------------------------------------------------------------------
##
##-------------------------------------------------------------------------
loc = EarthLocation.of_site(args.site)
obs = Observer.at_site(args.site)
utc = pytz.timezone('UTC')
localtz = pytz.timezone(args.timezone)
# hour = tdelta(seconds=60.*60.*1.)
# pyephem_site = ephem.Observer()
# pyephem_site.lat = str(loc.lat.to(u.degree).value)
# pyephem_site.lon = str(loc.lon.to(u.deg).value)
# pyephem_site.elevation = loc.height.to(u.m).value
# pyephem_moon = ephem.Moon()
oneday = TimeDelta(60.*60.*24., format='sec')
date_iso_string = '{:4d}-01-01T00:00:00'.format(args.year)
start_date = Time(date_iso_string, format='isot', scale='utc', location=loc)
sunset = obs.sun_set_time(start_date, which='next')
ical_file = 'DarkMoonCalendar_{:4d}.ics'.format(args.year)
if os.path.exists(ical_file): os.remove(ical_file)
with open(ical_file, 'w') as FO:
FO.write('BEGIN:VCALENDAR\n'.format())
FO.write('PRODID:-//hacksw/handcal//NONSGML v1.0//EN\n'.format())
while sunset < start_date + 365*oneday:
search_around = sunset + oneday
sunset = analyze_day(search_around, obs, FO, localtz, args,
verbose=True)
FO.write('END:VCALENDAR\n')
def test_docs_example():
# Test the example in astroplan/docs/tutorials/constraints.rst
target_table_string = """# name ra_degrees dec_degrees
Polaris 37.95456067 89.26410897
Vega 279.234734787 38.783688956
Albireo 292.68033548 27.959680072
Algol 47.042218553 40.955646675
Rigel 78.634467067 -8.201638365
Regulus 152.092962438 11.967208776"""
from astroplan import Observer, FixedTarget
from astropy.time import Time
subaru = Observer.at_site("Subaru")
time_range = Time(["2015-08-01 06:00", "2015-08-01 12:00"])
# Read in the table of targets
from astropy.io import ascii
target_table = ascii.read(target_table_string)
# Create astroplan.FixedTarget objects for each one in the table
from astropy.coordinates import SkyCoord
import astropy.units as u
targets = [FixedTarget(coord=SkyCoord(ra=ra * u.deg, dec=dec * u.deg), name=name) for name, ra, dec in target_table]
from astroplan import Constraint, is_observable
from astropy.coordinates import Angle
class VegaSeparationConstraint(Constraint):
"""
Constraint the separation from Vega
"""
def __init__(self, min=None, max=None):
"""
min : `~astropy.units.Quantity` or `None` (optional)
Minimum acceptable separation between Vega and target. `None`
indicates no limit.
max : `~astropy.units.Quantity` or `None` (optional)
Minimum acceptable separation between Vega and target. `None`
indicates no limit.
"""
self.min = min
self.max = max
def compute_constraint(self, times, observer, targets):
# Vega's coordinate must be non-scalar for the dimensions
# to work out properly when combined with other constraints which
# test multiple times
vega = SkyCoord(ra=[279.23473479] * u.deg, dec=[38.78368896] * u.deg)
# Calculate separation between target and vega
vega_separation = Angle([vega.separation(target.coord) for target in targets])
# If a maximum is specified but no minimum
if self.min is None and self.max is not None:
mask = vega_separation < self.max
# If a minimum is specified but no maximum
elif self.max is None and self.min is not None:
mask = self.min < vega_separation
# If both a minimum and a maximum are specified
elif self.min is not None and self.max is not None:
mask = (self.min < vega_separation) & (vega_separation < self.max)
# Otherwise, raise an error
else:
raise ValueError("No max and/or min specified in " "VegaSeparationConstraint.")
# Return an array that is True where the target is observable and
# False where it is not
return mask
constraints = [VegaSeparationConstraint(min=5 * u.deg, max=30 * u.deg)]
observability = is_observable(constraints, subaru, targets, time_range=time_range)
assert all(observability == [False, False, True, False, False, False])
