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 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 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 get_transit_observability(site,
ra,
dec,
name,
t_mid_0,
period,
duration,
n_transits=100,
obs_start_time=Time(
dt.datetime.today().isoformat()),
min_local_time=dt.time(16, 0),
max_local_time=dt.time(9, 0),
min_altitude=20 * u.deg,
oot_duration=30 * u.minute,
minokmoonsep=30 * u.deg):
"""
note: barycentric corrections not yet implemented. (could do this myself!)
-> 16 minutes of imprecision is baked into this observability calculator!
args:
site (astroplan.observer.Observer)
ra, dec (units u.deg), e.g.:
ra=101.28715533*u.deg, dec=16.71611586*u.deg,
or can also accept
ra="17 56 35.51", dec="-29 32 21.5"
name (str), e.g., "Sirius"
t_mid_0 (float): in BJD_TDB, preferably (but see note above).
period (astropy quantity, units time)
duration (astropy quantity, units time)
n_transits (int): number of transits forward extrapolated to
obs_start_time (astropy.Time object): when to start calculation from
min_local_time, max_local_time: earliest time when you think observing
is OK. E.g., 16:00 local and 09:00 local are earliest and latest. Note
this constraint is a bit silly, since the astroplan "AtNightConstraint"
is imposed automatically. As implemented, these are ignored.
min_altitude (astropy quantity, units deg): 20 degrees is the more
relevant constraint.
oot_duration (astropy quantity, units time): with which to brack
transit observations, to get an OOT baseline.
"""
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)
primary_eclipse_time = Time(t_mid_0, format='jd')
system = EclipsingSystem(primary_eclipse_time=primary_eclipse_time,
orbital_period=period,
duration=duration,
name=name)
midtransit_times = system.next_primary_eclipse_time(obs_start_time,
n_eclipses=n_transits)
# for the time being, omit any local time constraints.
constraints = [
AtNightConstraint.twilight_civil(),
AltitudeConstraint(min=min_altitude),
MoonSeparationConstraint(min=minokmoonsep)
]
#constraints = [AtNightConstraint.twilight_civil(),
# AltitudeConstraint(min=min_altitude),
# LocalTimeConstraint(min=min_local_time, max=max_local_time)]
# observable just at midtime (bottom)
b = is_event_observable(constraints, site, target, times=midtransit_times)
# observable full transits (ingress, bottom, egress)
ing_egr = system.next_primary_ingress_egress_time(obs_start_time,
n_eclipses=n_transits)
ibe = is_event_observable(constraints,
site,
target,
times_ingress_egress=ing_egr)
# get moon separation over each transit. take minimum moon sep at
# ing/tmid/egr as the moon separation.
moon_tmid = get_moon(midtransit_times, location=site.location)
moon_separation_tmid = moon_tmid.separation(target_coord)
moon_ing = get_moon(ing_egr[:, 0], location=site.location)
moon_separation_ing = moon_ing.separation(target_coord)
moon_egr = get_moon(ing_egr[:, 1], location=site.location)
moon_separation_egr = moon_egr.separation(target_coord)
moon_separation = np.round(
np.array(
[moon_separation_tmid, moon_separation_ing,
moon_separation_egr]).min(axis=0), 0).astype(int)
moon_illumination = np.round(
100 * moon.moon_illumination(midtransit_times), 0).astype(int)
# completely observable transits (OOT, ingress, bottom, egress, OOT)
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,
site,
target,
times_ingress_egress=oot_ing_egr)
ing_tmid_egr = np.concatenate(
(np.array(ing_egr[:, 0])[:, None], np.array(midtransit_times)[:, None],
np.array(ing_egr[:, 1])[:, None]),
axis=1)
return ibe, oibeo, ing_tmid_egr, moon_separation, moon_illumination
# TODO select proper coordinates: load from params_star.csv
# TODO select proper observer place (ground, space)
coords = "1:12:43.2 +1:12:43"
target = FixedTarget(SkyCoord(coords, unit=(u.deg, u.deg)))
# TODO select proper time
n_transits = 100 # This is the roughly number of transits per year
obs_time = Time('2017-01-01 12:00')
# TODO bulk to file
midtransit_times = system.next_primary_eclipse_time(obs_time,
n_eclipses=n_transits)
ingress_egress_times = system.next_primary_ingress_egress_time(
obs_time, n_eclipses=n_transits)
# TODO select local times somehow
min_local_time = dt.time(19, 0) # 19:00 local time at APO (7pm)
max_local_time = dt.time(0, 0) # 00:00 local time at APO (midnight)
constraints = [
AtNightConstraint.twilight_civil(),
AltitudeConstraint(min=30 * u.deg),
LocalTimeConstraint(min=min_local_time, max=max_local_time)
]
midtime_observable = astroplan.is_event_observable(constraints,
observer_site,
target,
times=midtransit_times)
entire_observable = astroplan.is_event_observable(
constraints,
observer_site,
target,
times=midtransit_times,
times_ingress_egress=ingress_egress_times)
def vis(date, objects, obj_tab):
#This tool is designed for the Magellan Telescope @ Las Camapanas Observatory, in Chile
las = Observer.at_site('LCO')
#both las and los are the locations of MagAO, but one is used for the plot and the other for the time
lco = EarthLocation.of_site('Las Campanas Observatory')
userEntered_list = list(objects.split(","))
target_list = userEntered_list
targets = []
for i in range(1, len(obj_tab)):
ra = (obj_tab.iloc[i, 2])[1:] + ' hours'
dec = (obj_tab.iloc[i, 3])[1:] + ' degrees'
print(ra + ',' + dec)
targets.append(
FixedTarget(coord=SkyCoord(ra=ra, dec=dec),
name=target_list[i - 1]))
constraints = [
AltitudeConstraint(10 * u.deg, 80 * u.deg),
AirmassConstraint(5),
AtNightConstraint.twilight_civil()
]
start_time = las.sun_set_time(Time(date), which='nearest')
end_time = las.sun_rise_time(Time(date), which='nearest')
date = start_time.iso[:10] + ' to ' + end_time.iso[:10]
time_range = Time([start_time, end_time])
# In[ ]:
delta_t = end_time - start_time
observe_time = start_time + delta_t * np.linspace(0, 1, 75)
# In[ ]:
# Are targets *ever* observable in the time range?
ever_observable = is_observable(constraints,
las,
targets,
time_range=time_range)
# Are targets *always* observable in the time range?
always_observable = is_always_observable(constraints,
las,
targets,
time_range=time_range)
# During what months are the targets ever observable?
best_months = months_observable(constraints, las, targets)
# In[ ]:
table = observability_table(constraints,
las,
targets,
time_range=time_range)
print(table)
table = table.to_pandas()
np.savetxt(
'static/data/visibility.txt',
table,
fmt="%-30s",
header=
'Target name ever observable always observable fraction of time observable'
)
def main(event, context):
filename = 'MS190311l-1-Preliminary'
# Get targetlist
target_list = 'triggers/%s_bayestar.csv'%filename # replace with your object key
s3 = boto3.resource('s3')
print(target_list)
s3.Bucket(bucketname).download_file(target_list, '/tmp/%s_targetlist.csv'%filename)
galaxies = Table.read('/tmp/%s_targetlist.csv'%filename)
del galaxies['col0']
galaxies = np.array(galaxies.as_array().tolist())
"""Get the full galaxy list, and find which are good to observe at NOT"""
# Setup observer
time = Time.now()
NOT = Observer.at_site("lapalma")
tel_constraints = [AtNightConstraint.twilight_civil(), AirmassConstraint(max = 5)]
# Check if nighttime
if not NOT.is_night(time):
sunset_tonight = NOT.sun_set_time(time, which='nearest')
dt_sunset = (sunset_tonight - time)
print("Daytime at the NOT! Preparing a plan for observations starting next sunset in ~ %s hours."%(int(dt_sunset.sec/3600)))
time = sunset_tonight + 5*u.minute
else:
print("It's nighttime at the NOT! Preparing a plan immeidately.")
# Get target list
galaxycoord=SkyCoord(ra=galaxies[:, 1]*u.deg,dec=galaxies[:, 2]*u.deg)
targets = [FixedTarget(coord=SkyCoord(ra=ra*u.deg, dec=dec*u.deg), name=int(name))
for name, ra, dec in galaxies[:, :3]]
# Construct astroplan OBs
blocks = []
exposure = 300*u.second
read_out = 20 * u.second
for priority, targ in enumerate(targets):
for bandpass in ['r']:
b = ObservingBlock.from_exposures(
targ,
priority,
exposure,
1,
read_out,
configuration={'filter': bandpass})
blocks.append(b)
# Transitioner between targets
slew_rate = 10.8*u.deg/u.second
transitioner = Transitioner(
slew_rate, {
'filter': {
('g', 'r'): 30 * u.second,
('i', 'z'): 30 * u.second,
'default': 30 * u.second
}
})
# Initialize the priority scheduler with the constraints and transitioner
prior_scheduler = SequentialScheduler(constraints = tel_constraints,
observer = NOT,
transitioner = transitioner)
# Initialize a Schedule object, to contain the new schedule around night
night_length = NOT.sun_set_time(time, which='nearest') - NOT.sun_rise_time(time, which='nearest')
noon_before = time - 4 * u.hour
noon_after = time + 16 * u.hour
priority_schedule = Schedule(noon_before, noon_after)
# Call the schedule with the observing blocks and schedule to schedule the blocks
prior_scheduler(blocks, priority_schedule)
# Remove transition blocks to read observing order
priority_schedule_table = priority_schedule.to_table()
mask = priority_schedule_table["target"] != "TransitionBlock"
pruned_schedule = priority_schedule_table[mask]
idxs = np.arange(0, len(pruned_schedule["target"]))
# pl.figure(figsize = (14,6))
# plot_schedule_airmass(priority_schedule, show_night=True)
# pl.legend(loc = "upper right")
# schedule_path = filename+"schedule.pdf"
# pl.savefig(schedule_path)
# pl.clf()
# print("Finished preparing an observing plan.")
# s3.Bucket(bucketname).upload_file(schedule_path, 'triggers/%s'%schedule_path)
instrumements = ["ALFOSC"]
nothing_to_observe = True
for tel in range(0, len(instrumements)):
print("Writing a plan for {}".format(instrumements[tel]))
outlist = [0]*galaxies.shape[0]
for i in range(tel, galaxies.shape[0], len(instrumements)):
ra = Angle(galaxies[i, 1] * u.deg)
dec = Angle(galaxies[i, 2] * u.deg)
mask = pruned_schedule['target'].astype("int") == int(galaxies[i, 0])
targ_row = pruned_schedule[mask]
idx = idxs[mask]
# Get observing scheduling rank and airmass at observing time.
try:
airm = NOT.altaz(Time(targ_row["start time (UTC)"].data), targets[i]).secz
t_s = targ_row["start time (UTC)"].data
t_e = targ_row["end time (UTC)"].data
except:
print("GLADE target name %s not found in schedule. Probably not visible. Replacing entry with -99"%(galaxies[i, 0]))
idx = -99
airm = -99
outlist[i] = int(galaxies[i, 0]), ra.to_string(
unit=u.hourangle, sep=':', precision=2, pad=True), dec.to_string(
sep=':', precision=2, alwayssign=True,
pad=True), idx, airm, galaxies[i, 3], galaxies[i, 4], galaxies[
i, 5], t_s, t_e
header = ["GladeID", "RA", "Dec", "Observing number", "Airmass at observing time", "Distance", "B-band luminosity", "Probability", "Schduled integration start", "Schduled integration end"]
outframe = Table(np.array(outlist), names=header)
csv_path = filename+"_schedule.csv"
ascii.write(outframe, "/tmp/"+csv_path, format='csv', overwrite=True, fast_writer=False)
s3.Bucket(bucketname).upload_file("/tmp/"+csv_path, 'triggers/%s'%csv_path)
return
def observability_objects(data):
"""
Test the observability of a list of objects for a single date
Parameters
----------
data : POST data format
data = {
'observatory' : 'OT',
'altitude_lower_limit' : '30',
'altitude_higher_limit' : '90',
'objects' : [{
'name' : 'Kelt 8b',
'RA' : 283.30551667 ,
'Dec' : 24.12738139,
'dates' : [
['2020-06-11 00:16:30', '2020-06-11 03:44:26'],
['2020-06-14 06:07:56', '2020-06-14 09:35:53']
]
},
{
'name' : 'TIC 123456789',
'RA' : 13.13055667 ,
'Dec' : 24.13912738,
'dates' : [
['2020-06-11 23:59:59']
]
}
]
}
Returns
-------
observability : dict
Dictionary with the observability and moon distance for all objects
{'V0879 Cas' : {
'observability' : 'True', 'moon_separation' : 30.4
},
'RU Scl' : {
'observability' : 'True', 'moon_separation' : 10.8
}
}
"""
import astropy.units as u
from astroplan import FixedTarget
from astroplan import (AltitudeConstraint, AtNightConstraint)
from astroplan import is_observable, is_always_observable
# Site location
location = get_location(data['observatory'])
# dict of observability for each target
observabilities = {}
if 'twilight_type' not in data.keys():
data['twilight_type'] = 'astronomical'
if data['twilight_type'] == 'civil':
twilight_constraint = AtNightConstraint.twilight_civil()
elif data['twilight_type'] == 'nautical':
twilight_constraint = AtNightConstraint.twilight_nautical()
else:
twilight_constraint = AtNightConstraint.twilight_astronomical()
# Observation constraints
constraints = [
AltitudeConstraint(
float(data['altitude_lower_limit']) * u.deg,
float(data['altitude_higher_limit']) * u.deg), twilight_constraint
]
for target in data['objects']:
coords = SkyCoord(ra=target['RA'] * u.deg, dec=target['Dec'] * u.deg)
fixed_target = [FixedTarget(coord=coords, name=target['name'])]
observabilities[target['name']] = []
for date in target['dates']:
# time range for transits
# Always observable for time range
if len(date) > 1:
# If exoplanet transit, test observability always during transit,
# if not, test observability *ever* during night
time_range = Time([date[0], date[1]])
# Are targets *always* observable in the time range?
observable = is_always_observable(constraints,
location,
fixed_target,
time_range=time_range)
# No time range, *ever* observabable during the night
# Observability is test from sunset to sunrise
# Default time resolution is 0.5h
else:
sunset = location.sun_set_time(Time(date[0]))
sunrise = location.sun_rise_time(Time(date[0]), 'next')
time_range = Time([sunset, sunrise])
observable = is_observable(constraints,
location,
fixed_target,
time_range=time_range)
# Moon location for the observation date
moon = location.moon_altaz(Time(date[0]))
moon_separation = moon.separation(coords)
observabilities[target['name']].append({
'observable':
str(observable[0]),
'moon_separation':
moon_separation.degree
})
return observabilities
def observability_dates(data):
"""
Test the observability of a single objects for several nights
If the first element of 'dates' contains a single date, then
the observability is test as *ever* for the night.
If a time range is given, observability is test as *always* for the time range
Parameters
----------
data : POST data format
# data for transiting planet, time range constrained
data = {
'name' : 'Kelt 8b',
'RA' : 283.30551667 ,
'Dec' : 24.12738139,
'observatory' : 'OT',
'altitude_lower_limit' : '30',
'altitude_higher_limit' : '90',
'twilight_type' : 'astronomical',
'dates' : [
['2020-06-11 00:16:30', '2020-06-11 03:44:26'],
['2020-06-14 06:07:56', '2020-06-14 09:35:53']
]
}
# data for ordinary target, twilight constrained
# single date list
data = {
'name' : 'KIC8012732',
'RA' : 284.72949583 ,
'Dec' : 43.86421667,
'observatory' : 'OT',
'altitude_lower_limit' : '30',
'altitude_higher_limit' : '90',
'dates' : [
['2020-06-11 23:00:00']
]
}
Returns
-------
observability : dict
Dictionary with the observability and moon distance for all objects
{'V0879 Cas' : {
'observability' : 'True', 'moon_separation' : 30.4
},
'RU Scl' : {
'observability' : 'True', 'moon_separation' : 10.8
}
}
"""
import astropy.units as u
from astroplan import FixedTarget
from astroplan import (AltitudeConstraint, AtNightConstraint)
from astroplan import is_observable, is_always_observable
# Site location
location = get_location(data['observatory'])
coords = SkyCoord(ra=data['RA'] * u.deg, dec=data['Dec'] * u.deg)
fixed_target = [FixedTarget(coord=coords, name=data['name'])]
# List of dates of observability
observabilities = []
if 'twilight_type' not in data.keys():
data['twilight_type'] = 'astronomical'
if data['twilight_type'] == 'civil':
twilight_constraint = AtNightConstraint.twilight_civil()
elif data['twilight_type'] == 'nautical':
twilight_constraint = AtNightConstraint.twilight_nautical()
else:
twilight_constraint = AtNightConstraint.twilight_astronomical()
# Observation constraints
constraints = [
AltitudeConstraint(
float(data['altitude_lower_limit']) * u.deg,
float(data['altitude_higher_limit']) * u.deg), twilight_constraint
]
for date in data['dates']:
# time range for transits
# Always observable for time range
if len(data['dates'][0]) > 0:
# If exoplanet transits, check for observability always during transit,
# if not, check observability *ever* during night
time_range = Time([date[0], date[1]])
# Are targets *always* observable in the time range?
observable = is_always_observable(constraints,
location,
fixed_target,
time_range=time_range)
# No time range, *ever* observabable during the night
else:
observable = is_observable(constraints,
location,
fixed_target,
times=Time(date[0]))
# Moon location for the observation date
moon = location.moon_altaz(Time(date[0]))
moon_separation = moon.separation(coords)
observabilities.append({
'observable': str(observable[0]),
'moon_separation': moon_separation.degree
})
return observabilities
def observability(data):
"""
Test the observability of a list of objects for a single date
Parameters
----------
data : POST data format
Observatory, date, limits and objects
data = {
'observatory' : 'OT',
'date' : '2020-06-11 00:16:30',
'date_end' : '2020-06-11 03:44:26',
'altitude_lower_limit' : '30',
'altitude_higher_limit' : '90',
'twilight_type' : 'astronomical',
'objects' : [{
'name' : 'Kelt 8b',
'RA' : 283.30551667 ,
'Dec' : 24.12738139
},
(more objects...)
]
}
Returns
-------
observability : dict
Dictionary with the observability and moon distance for all objects
{
'V0879 Cas' : {
'observability' : 'True', 'moon_separation' : 30.4
},
'RU Scl' : {
'observability' : 'True', 'moon_separation' : 10.8
}
}
"""
import astropy.units as u
from astroplan import FixedTarget
from astroplan import (AltitudeConstraint, AtNightConstraint)
from astroplan import is_observable, is_always_observable
# Site location
location = get_location(data['observatory'])
time_range = Time([data['date'], data['date_end']])
if 'twilight_type' not in data.keys():
data['twilight_type'] = 'astronomical'
if data['twilight_type'] == 'civil':
twilight_constraint = AtNightConstraint.twilight_civil()
elif data['twilight_type'] == 'nautical':
twilight_constraint = AtNightConstraint.twilight_nautical()
else:
twilight_constraint = AtNightConstraint.twilight_astronomical()
# Observation constraints
constraints = [
AltitudeConstraint(
int(data['altitude_lower_limit']) * u.deg,
int(data['altitude_higher_limit']) * u.deg), twilight_constraint
]
# Dictionary with star name and observability (bool str)
result = {}
# Moon location for the observation date
middle_observing_time = time_range[-1] - (time_range[-1] -
time_range[0]) / 2
moon = location.moon_altaz(middle_observing_time)
for target in data['objects']:
# Object coordinates
coords = SkyCoord(ra=target['RA'] * u.deg, dec=target['Dec'] * u.deg)
fixed_target = [FixedTarget(coord=coords, name=target['name'])]
if 'transit' in target.keys():
time_range = Time(
[target['transit']['t_early'], target['transit']['t_late']])
# Are targets *always* observable in the time range?
observable = is_always_observable(constraints,
location,
fixed_target,
time_range=time_range)
else:
time_range = Time([data['date'], data['date_end']])
# Are targets *ever* observable in the time range?
observable = is_observable(constraints,
location,
fixed_target,
time_range=time_range)
moon_separation = moon.separation(coords)
result[target['name']] = {
'observable': str(observable[0]),
'moon_separation': moon_separation.degree
}
return result
def plan_when_transits_will_occur(
filename='targets.txt',
observatory='Southern African Large Telescope',
start='2017-06-22',
end='2017-06-28',
airmass_limit=2.5,
moon_distance=10,
do_secondary=True,
method='by_night'):
'''
Plan when targets will be visibile and transiting from a site.
Inputs
------
filename : str
A plain text file with the following columns:
target : The name of the target (e.g. J0555-57).
RA : The right ascension of the target (e.g. 05h55m32.62s).
DEC : The declination of the target (e.g. -57d17m26.1s).
epoch* : The epoch of the transit. Youc can either use:
epoch_HJD-2400000 : HJD - 24500000
epoch_BJD-2455000 : MJD
Period : The period of the system (days).
Secondary : can be True or False depending on whether you want
to see when the secondary transits will be.
observatory : str
The observatory you are observing from. See later for list of available
observatories (accepted by astropy).
start : str
The first night of observation (e.g. 2017-08-31).
end : str
The last night of observation (e.g. 2017-09-10).
airmass_limit : float
The maximum airmass you want to observe through.
moon_distance : float
The closest the target can be t the moon in arcmins.
do_secondary = True:
Look for secondary eclipses assuming circularised orbits.
Available observator names are:
'ALMA',
'Anglo-Australian Observatory',
'Apache Point',
'Apache Point Observatory',
'Atacama Large Millimeter Array',
'BAO',
'Beijing XingLong Observatory',
'Black Moshannon Observatory',
'CHARA',
'Canada-France-Hawaii Telescope',
'Catalina Observatory',
'Cerro Pachon',
'Cerro Paranal',
'Cerro Tololo',
'Cerro Tololo Interamerican Observatory',
'DCT',
'Discovery Channel Telescope',
'Dominion Astrophysical Observatory',
'Gemini South',
'Hale Telescope',
'Haleakala Observatories',
'Happy Jack',
'Jansky Very Large Array',
'Keck Observatory',
'Kitt Peak',
'Kitt Peak National Observatory',
'La Silla Observatory',
'Large Binocular Telescope',
'Las Campanas Observatory',
'Lick Observatory',
'Lowell Observatory',
'Manastash Ridge Observatory',
'McDonald Observatory',
'Medicina',
'Medicina Dish',
'Michigan-Dartmouth-MIT Observatory',
'Mount Graham International Observatory',
'Mt Graham',
'Mt. Ekar 182 cm. Telescope',
'Mt. Stromlo Observatory',
'Multiple Mirror Telescope',
'NOV',
'National Observatory of Venezuela',
'Noto',
'Observatorio Astronomico Nacional, San Pedro Martir',
'Observatorio Astronomico Nacional, Tonantzintla',
'Palomar',
'Paranal Observatory',
'Roque de los Muchachos',
'SAAO',
'SALT',
'SRT',
'Siding Spring Observatory',
'Southern African Large Telescope',
'Subaru',
'Subaru Telescope',
'Sutherland',
'Vainu Bappu Observatory',
'Very Large Array',
'W. M. Keck Observatory',
'Whipple',
'Whipple Observatory',
'aao',
'alma',
'apo',
'bmo',
'cfht',
'ctio',
'dao',
'dct',
'ekar',
'example_site',
'flwo',
'gemini_north',
'gemini_south',
'gemn',
'gems',
'greenwich',
'haleakala',
'irtf',
'keck',
'kpno',
'lapalma',
'lasilla',
'lbt',
'lco',
'lick',
'lowell',
'mcdonald',
'mdm',
'medicina',
'mmt',
'mro',
'mso',
'mtbigelow',
'mwo',
'noto',
'ohp',
'paranal',
'salt',
'sirene',
'spm',
'srt',
'sso',
'tona',
'vbo',
'vla'.
'''
###################
# Try reading table
###################
try:
target_table = Table.read(filename, format='ascii')
except:
raise ValueError(
'I cant open the target file (make sure its ascii with the following first line:\ntarget RA DEC epoch_HJD-2400000 Period Secondary'
)
##############################
# try reading observation site
##############################
try:
observation_site = coord.EarthLocation.of_site(observatory)
observation_handle = Observer(location=observation_site)
observation_handle1 = Observer.at_site(observatory)
except:
print(coord.EarthLocation.get_site_names())
raise ValueError('The site is not understood')
###################################
# Try reading start and end times
###################################
try:
start_time = Time(start + ' 12:01:00', location=observation_site)
end_time = Time(end + ' 12:01:00', location=observation_site)
number_of_nights = int(end_time.jd - start_time.jd)
time_range = Time([start + ' 12:01:00', end + ' 12:01:00'])
print('Number of nights: {}'.format(number_of_nights))
except:
raise ValueError('Start and end times not understood')
#####################
# Now do constraints
#####################
#try:
constraints = [
AltitudeConstraint(0 * u.deg, 90 * u.deg),
AirmassConstraint(3),
AtNightConstraint.twilight_civil()
]
#except:
# raise ValueError('Unable to get set constraints')
if method == 'by_night':
for i in range(number_of_nights):
start_time_tmp = start_time + TimeDelta(
i,
format='jd') # get start time (doesent need to be accurate)
end_time_tmp = start_time + TimeDelta(
i + 1,
format='jd') # get start time (doesent need to be accurate)
print('#' * 80)
start_time_tmpss = start_time_tmp.datetime.ctime().split(
) # ['Fri', 'Dec', '24', '12:00:00', '2010']
print('Night {} - {} {} {} {}'.format(i + 1, start_time_tmpss[0],
start_time_tmpss[2],
start_time_tmpss[1],
start_time_tmpss[-1]))
print('#' * 80)
# Now print Almnac information (sunset and end of evening twilight
print('Almnac:')
sun_set = observation_handle.sun_set_time(start_time_tmp,
which='next')
print('Sunset:\t\t\t\t\t\t\t' + sun_set.utc.datetime.ctime())
twilight_evening_astronomical = observation_handle.twilight_evening_astronomical(
start_time_tmp, which='next') # -18
twilight_evening_nautical = observation_handle.twilight_evening_nautical(
start_time_tmp, which='next') # -12
twilight_evening_civil = observation_handle.twilight_evening_civil(
start_time_tmp, which='next') # -6 deg
print('Civil evening twilight (-6 deg) (U.T.C):\t\t' +
twilight_evening_civil.utc.datetime.ctime())
print('Nautical evening twilight (-12 deg) (U.T.C):\t\t' +
twilight_evening_nautical.utc.datetime.ctime())
print('Astronomical evening twilight (-18 deg) (U.T.C):\t' +
twilight_evening_astronomical.utc.datetime.ctime())
print('\n')
twilight_morning_astronomical = observation_handle.twilight_morning_astronomical(
start_time_tmp, which='next') # -18
twilight_morning_nautical = observation_handle.twilight_morning_nautical(
start_time_tmp, which='next') # -12
twilight_morning_civil = observation_handle.twilight_morning_civil(
start_time_tmp, which='next') # -6 deg
print('Astronomical morning twilight (-18 deg) (U.T.C):\t' +
twilight_morning_astronomical.utc.datetime.ctime())
print('Nautical morning twilight (-12 deg) (U.T.C):\t\t' +
twilight_morning_nautical.utc.datetime.ctime())
print('Civil morning twilight (-6 deg) (U.T.C):\t\t' +
twilight_morning_civil.utc.datetime.ctime())
sun_rise = observation_handle.sun_rise_time(start_time_tmp,
which='next')
print('Sunrise:\t\t\t\t\t\t' + sun_rise.utc.datetime.ctime())
print('\n')
# stuff for creating plot
plot_mids = []
plot_names = []
plot_widths = []
for j in range(len(target_table)):
# Extract information
star_coordinates = coord.SkyCoord('{} {}'.format(
target_table['RA'][j], target_table['DEC'][j]),
unit=(u.hourangle, u.deg),
frame='icrs')
star_fixed_coord = FixedTarget(coord=star_coordinates,
name=target_table['target'][j])
####################
# Get finder image
####################
'''
plt.close()
try:
finder_image = plot_finder_image(star_fixed_coord,reticle=True,fov_radius=10*u.arcmin)
except:
pass
plt.savefig(target_table['target'][j]+'_finder_chart.eps')
'''
P = target_table['Period'][j]
Secondary_transit = target_table['Secondary'][j]
transit_half_width = TimeDelta(
target_table['width'][j] * 60 * 60 / 2,
format='sec') # in seconds for a TimeDelta
# now convert T0 to HJD -> JD -> BJD so we can cout period
if 'epoch_HJD-2400000' in target_table.colnames:
#print('Using HJD-2400000')
T0 = target_table['epoch_HJD-2400000'][j]
T0 = Time(T0 + 2400000, format='jd') # HJD given by WASP
ltt_helio = T0.light_travel_time(star_coordinates,
'heliocentric',
location=observation_site)
T0 = T0 - ltt_helio # HJD -> JD
ltt_bary = T0.light_travel_time(star_coordinates,
'barycentric',
location=observation_site)
T0 = T0 + ltt_bary # JD -> BJD
elif 'epoch_BJD-2455000' in target_table.colnames:
#print('Using BJD-2455000')
T0 = target_table['epoch_BJD-2455000'][j] + 2455000
T0 = Time(T0, format='jd') # BJD
else:
print('\n\n\n\n FAILE\n\n\n\n')
continue
##########################################################
# Now start from T0 and count in periods to find transits
##########################################################
# convert star and end time to BJD
ltt_bary_start_time = start_time_tmp.light_travel_time(
star_coordinates, 'barycentric',
location=observation_site) # + TimeDelta(i,format='jd')
start_time_bary = start_time_tmp + ltt_bary_start_time # + TimeDelta(i,format='jd') # convert start time to BJD
ltt_bary_end_time_tmp = end_time_tmp.light_travel_time(
star_coordinates, 'barycentric',
location=observation_site) # + TimeDelta(i,format='jd')
end_time_bary = end_time_tmp + ltt_bary_start_time #+ TimeDelta(i+1,format='jd') # convert end time to BJD and add 1 day 12pm -> 12pm the next day
elapsed = end_time_bary - start_time_bary # now this is 24 hours from the start day 12:00 pm
# now count transits
time = Time(T0.jd, format='jd') # make a temporary copy
transits = []
primary_count, secondary_count = 0, 0
while time.jd < end_time_bary.jd:
if (time.jd > start_time_bary.jd) and (time.jd <
end_time_bary.jd):
if is_observable(constraints,
observation_handle,
[star_fixed_coord],
times=[time])[0] == True:
transits.append(time)
primary_count += 1
if Secondary_transit == 'yes':
timesecondary = time + TimeDelta(P / 2, format='jd')
if (timesecondary.jd > start_time_bary.jd) and (
timesecondary.jd < end_time_bary.jd):
if is_observable(constraints,
observation_handle,
[star_fixed_coord],
times=[timesecondary])[0] == True:
transits.append(timesecondary)
secondary_count += 1
time = time + TimeDelta(P,
format='jd') # add another P to T0
# Now find visible transits
transits = [
i for i in transits
if is_observable(constraints,
observation_handle, [star_fixed_coord],
times=[i])[0] == True
]
if len(transits) == 0:
message = '{} has no transits.'.format(
target_table['target'][j])
print('-' * len(message))
print(message)
print('-' * len(message))
print('\n')
plt.close()
continue
else:
message = '{} has {} primary transits and {} secondary transits.'.format(
target_table['target'][j], primary_count,
secondary_count)
print('-' * len(message))
print(message)
print('RA: {}'.format(target_table['RA'][j]))
print('DEC: {}'.format(target_table['DEC'][j]))
print('Epoch: 2000')
print('T0 (BJD): {}'.format(T0.jd))
print('Period: {}'.format(P))
print('Transit width (hr): {}'.format(
target_table['width'][j]))
print('-' * len(message))
print('\n')
for i in transits:
# currently transit times are in BJD (need to convert to HJD to check
ltt_helio = i.light_travel_time(star_coordinates,
'barycentric',
location=observation_site)
ii = i - ltt_helio
ltt_helio = ii.light_travel_time(star_coordinates,
'heliocentric',
location=observation_site)
ii = ii + ltt_helio
transit_1 = i - transit_half_width - TimeDelta(
7200, format='sec') # ingress - 2 hr
transit_2 = i - transit_half_width - TimeDelta(
3600, format='sec') # ingress - 2 hr
transit_3 = i - transit_half_width # ingress
transit_4 = i + transit_half_width # egress
transit_5 = i + transit_half_width + TimeDelta(
3600, format='sec') # ingress - 2 hr
transit_6 = i + transit_half_width + TimeDelta(
7200, format='sec') # ingress - 2 hr
if (((i.jd - time.jd) / P) - np.floor(
(i.jd - time.jd) / P) < 0.1) or ((
(i.jd - time.jd) / P) - np.floor(
(i.jd - time.jd) / P) > 0.9):
print('Primary Transit:')
print('-' * len('Primary Transit'))
if 0.4 < ((i.jd - time.jd) / P) - np.floor(
(i.jd - time.jd) / P) < 0.6:
print('Secondary Transit')
print('-' * len('Secondary Transit'))
##################
# now get sirmass
##################
altaz = star_coordinates.transform_to(
AltAz(obstime=transit_1, location=observation_site))
hourangle = observation_handle1.target_hour_angle(
transit_1, star_coordinates)
hourangle = 24 * hourangle.degree / 360
if hourangle > 12:
hourangle -= 24
print('Ingress - 2hr (U.T.C):\t\t\t\t\t' +
transit_1.utc.datetime.ctime() +
'\tAirmass: {:.2f}\tHA:{:.2f}'.format(
altaz.secz, hourangle))
altaz = star_coordinates.transform_to(
AltAz(obstime=transit_2, location=observation_site))
hourangle = observation_handle1.target_hour_angle(
transit_2, star_coordinates)
hourangle = 24 * hourangle.degree / 360
if hourangle > 12:
hourangle -= 24
print('Ingress - 1hr (U.T.C):\t\t\t\t\t' +
transit_2.utc.datetime.ctime() +
'\tAirmass: {:.2f}\tHA:{:.2f}'.format(
altaz.secz, hourangle))
altaz = star_coordinates.transform_to(
AltAz(obstime=transit_3, location=observation_site))
hourangle = observation_handle1.target_hour_angle(
transit_3, star_coordinates)
hourangle = 24 * hourangle.degree / 360
if hourangle > 12:
hourangle -= 24
print('Ingress (U.T.C):\t\t\t\t\t' +
transit_3.utc.datetime.ctime() +
'\tAirmass: {:.2f}\tHA:{:.2f}'.format(
altaz.secz, hourangle))
altaz = star_coordinates.transform_to(
AltAz(obstime=i, location=observation_site))
hourangle = observation_handle1.target_hour_angle(
i, star_coordinates)
hourangle = 24 * hourangle.degree / 360
if hourangle > 12:
hourangle -= 24
print('Mid transit (U.T.C):\t\t\t\t\t' +
i.utc.datetime.ctime() +
'\tAirmass: {:.2f}\tHA:{:.2f}'.format(
altaz.secz, hourangle))
altaz = star_coordinates.transform_to(
AltAz(obstime=transit_4, location=observation_site))
hourangle = observation_handle1.target_hour_angle(
transit_4, star_coordinates)
hourangle = 24 * hourangle.degree / 360
if hourangle > 12:
hourangle -= 24
print('Egress (U.T.C):\t\t\t\t\t\t' +
transit_4.utc.datetime.ctime() +
'\tAirmass: {:.2f}\tHA:{:.2f}'.format(
altaz.secz, hourangle))
altaz = star_coordinates.transform_to(
AltAz(obstime=transit_5, location=observation_site))
hourangle = observation_handle1.target_hour_angle(
transit_5, star_coordinates)
hourangle = 24 * hourangle.degree / 360
if hourangle > 12:
hourangle -= 24
print('Egress + 1hr (U.T.C):\t\t\t\t\t' +
transit_5.utc.datetime.ctime() +
'\tAirmass: {:.2f}\tHA:{:.2f}'.format(
altaz.secz, hourangle))
altaz = star_coordinates.transform_to(
AltAz(obstime=transit_6, location=observation_site))
hourangle = observation_handle1.target_hour_angle(
transit_6, star_coordinates)
hourangle = 24 * hourangle.degree / 360
if hourangle > 12:
hourangle -= 24
print('Egress + 2hr (U.T.C):\t\t\t\t\t' +
transit_6.utc.datetime.ctime() +
'\tAirmass: {:.2f}\tHA:{:.2f}'.format(
altaz.secz, hourangle))
print('HJD {} (to check with http://var2.astro.cz/)\n'.
format(ii.jd))
# append stuff for plots
plot_mids.append(i) # astropy Time
plot_names.append(target_table['target'][j])
plot_widths.append(target_table['width'][j])
# Now plot
plt.close()
if len(plot_mids) == 0:
continue
date_formatter = dates.DateFormatter('%H:%M')
#ax.xaxis.set_major_formatter(date_formatter)
# now load dummy transit lightcurves
xp, yp = np.load('lc.npy')
xs, ys = np.load('lcs.npy')
# x = np.linspace(0, 2*np.pi, 400)
# y = np.sin(x**2)
subplots_adjust(hspace=0.000)
number_of_subplots = len(
plot_names) # number of targets transiting that night
time = sun_set + np.linspace(-1, 14,
100) * u.hour # take us to sunset
for i, v in enumerate(xrange(number_of_subplots)):
# exctract params
width = plot_widths[v]
name = plot_names[v]
mid = plot_mids[v]
# now set up dummy lc plot
x_tmp = mid + xp * (width /
2) * u.hour # get right width in hours
# now set up axis
v = v + 1
ax1 = subplot(number_of_subplots, 1, v)
ax1.xaxis.set_major_formatter(date_formatter)
if v == 1:
ax1.set_title(start)
# plot transit model
ax1.plot_date(x_tmp.plot_date, ys, 'k-')
# plot continuum
#xx =time.plot_date
#xx = [uu for uu in xx if (uu<min(x_tmp.plot_date)) or (uu>max(x_tmp.plot_date))]
#ax1.plot_date(xx, np.ones(len(xx)),'k--', alpha=0.3)
ax1.set_xlim(min(time.plot_date), max(time.plot_date))
#ax1.plot_date(mid.plot_date, 0.5, 'ro')
plt.setp(ax1.get_xticklabels(), rotation=30, ha='right')
ax1.set_ylabel(name, rotation=45, labelpad=20)
twilights = [
(sun_set.datetime, 0.0),
(twilight_evening_civil.datetime, 0.1),
(twilight_evening_nautical.datetime, 0.2),
(twilight_evening_astronomical.datetime, 0.3),
(twilight_morning_astronomical.datetime, 0.4),
(twilight_morning_nautical.datetime, 0.3),
(twilight_morning_civil.datetime, 0.2),
(sun_rise.datetime, 0.1),
]
for ii, twii in enumerate(twilights[1:], 1):
ax1.axvspan(twilights[ii - 1][0],
twilights[ii][0],
ymin=0,
ymax=1,
color='grey',
alpha=twii[1])
ax1.grid(alpha=0.5)
ax1.get_yaxis().set_ticks([])
if v != number_of_subplots:
ax1.get_xaxis().set_ticks([])
plt.xlabel('Time [U.T.C]')
#plt.tight_layout()
#plt.savefig('test.eps',format='eps')
plt.show()
def construct_plan(data,
site,
start_time,
end_time,
constraints=None,
max_priority=3):
if constraints is None:
constraints = [
AltitudeConstraint(10 * u.deg, 80 * u.deg),
AirmassConstraint(5),
AtNightConstraint.twilight_civil()
]
data = data.sort_values(by=["Add. Data Priority", "RA"], ascending=[1, 1])
time_range = Time([start_time, end_time])
# targets.lis format:
# NAME
# <RA hh:mm:ss.ss> <DEC dd:mm:ss.s>
# <HMJD/BMJD T0 err P err
#
# NAME...
# ENTRY = "{}\n{} {}\n{} linear {} {} {} {}\n\n"
targets_list = ""
targets_prg = ""
targets_notes = ""
for name, row in data.iterrows():
row['RA'], row['Dec'] = row['RA'].replace(" ",
":"), row['Dec'].replace(
" ", ":")
target = FixedTarget(coord=SkyCoord(ra=Angle(row['RA'],
unit='hourangle'),
dec=Angle(row['Dec'],
unit='degree')),
name=name)
# Does the target rise above the horizon?
ever_observable = is_observable(constraints,
site,
target,
time_range=time_range)
# Parse the ephemeris data
try:
T0, T0_err = row['T(0) +/- (d)'].replace(" ", "").split("(")
calendar, T0 = T0.split("=")
T0_err = T0_err.replace(")", "")
N = len(T0.split(".")[1]) - len(T0_err)
T0_err = "0.{}{}".format(("0" * N), T0_err)
P, P_err = row['P +/- (d)'].split("(")
P_err = P_err.replace(")", "")
M = len(P.split(".")[1]) - len(P_err)
P_err = "0.{}{}".format(("0" * M), P_err)
except ValueError:
print("Failed to extract row! {}".format(name))
continue
# Get the priority of this system
try:
priority = int(row['Add. Data Priority'])
except ValueError:
continue
# Logic about if we want to use this target
writeme = ever_observable[0] and (priority <= max_priority)
# If true, add to the list
if writeme:
# Output data formats
line = "{}\n{} {}\n{} linear {} {} {} {}\n\n".format(
name, row['RA'], row['Dec'], calendar, T0, T0_err, P, P_err)
prgline = "{}\n0.7 1.3 3 8\n\n".format(name)
notesline = '{}: "{}"\n\n\n'.format(name, row['Target Notes'])
targets_list += line
targets_prg += prgline
targets_notes += notesline
# Write out files
with open(os.path.join('OUTPUT', 'targets.lis'), 'w') as f:
f.write(targets_list)
with open(os.path.join('OUTPUT', 'targets.prg'), 'w') as f:
f.write(targets_prg)
with open(os.path.join('OUTPUT', 'targets.txt'), 'w') as f:
f.write(targets_notes)
def observability(cand=[],
site='VLT',
time=['2017-09-01T00:00:00.00', '2018-03-01T00:00:00.00'],
airmass=1.3):
"""
cand is class object with parameters: name, ra, dec
"""
# set observation site
if site == 'VLT':
if 0:
longitude = '-70d24m12.000s'
latitude = '-24d37m34.000s'
elevation = 2635 * u.m
vlt = EarthLocation.from_geodetic(longitude, latitude, elevation)
observer = astroplan.Observer(
name='VLT',
location=vlt,
pressure=0.750 * u.bar,
relative_humidity=0.11,
temperature=0 * u.deg_C,
timezone=timezone('America/Santiago'),
description="Very Large Telescope, Cerro Paranal")
eso = astroplan.Observer.at_site('eso')
else:
observer = Observer.at_site('Cerro Paranal')
if site == 'MagE':
observer = Observer.at_site('las campanas observatory')
if site == 'keck':
observer = Observer.at_site('keck')
print(observer)
# set time range constrains
if isinstance(time, str):
# all year
if len(time) == 4:
timerange = 'period'
time_range = Time(time + "-01-01T00:00:00.00",
time + "-12-31T23:59:00.00")
else:
timerange = 'onenight'
time = Time(time)
elif isinstance(time, list):
if len(time) == 2:
timerange = 'period'
print(Time(['2017-01-03']), time)
time_range = Time(time)
else:
timerange = 'onenight'
time = Time(time[0])
if timerange == 'onenight':
# calculate sunset and sunrise
sunset = observer.sun_set_time(time, which='nearest')
print('Sunset at ', sunset.iso)
sunrise = observer.sun_rise_time(time, which='nearest')
print('Sunrise at ', sunrise.iso)
time_range = Time([sunset, sunrise])
# set time array during the night
time = time_range[0] + (time_range[1] - time_range[0]) * np.linspace(
0, 1, 55)
print(time)
# set visibility constrains
# constraints = [AirmassConstraint(1.5), AtNightConstraint.twilight_civil()]
print(airmass)
constraints = [
AirmassConstraint(airmass),
AtNightConstraint.twilight_civil()
]
# set parameters of calculations
read_vis = 0
if read_vis == 0:
f_vis = open('DR12_cand_vis_temp.dat', 'w')
month_detalied = 1
show_moon = 0
airmass_plot = 0
sky_plot = 0
if airmass_plot == 1:
f, ax_air = plt.subplots()
if sky_plot == 1:
f, ax_sky = plt.subplots()
targets = []
if show_moon == 1:
print(observer.moon_altaz(time).alt)
print(observer.moon_altaz(time).az)
# moon = SkyCoord(alt = observer.moon_altaz(time).alt, az = observer.moon_altaz(time).az, obstime = time, frame = 'altaz', location = observer.location)
# print(moon.icrs)
for i, can in enumerate(cand):
print(can.name)
# calculate target coordinates
coordinates = SkyCoord(float(can.ra) * u.deg,
float(can.dec) * u.deg,
frame='icrs')
#print(can.ra, can.dec)
#print(coordinates.to_string('hmsdms'))
target = FixedTarget(name=can.name, coord=coordinates)
targets.append(target)
# print(observer.target_is_up(time, targets[i]))
# calculate airmass
if timerange == 'onenight':
if sky_plot == 1:
plot_sky(target, observer, time)
airmass = observer.altaz(time, target).secz
if airmass_plot == 1:
plot_airmass(target, observer, time, ax=ax)
air_min = 1000
k_min = -1
for k, a in enumerate(airmass):
if 0 < a < air_min:
air_min = a
k_min = k
print(air_min, time[k_min].iso)
if k_min > -1 and show_moon == 1:
moon = SkyCoord(alt=observer.moon_altaz(time[k_min]).alt,
az=observer.moon_altaz(time[k_min]).az,
obstime=time[k_min],
frame='altaz',
location=observer.location)
can.moon_sep = Angle(moon.separation(
target.coord)).to_string(fields=1)
print(can.moon_sep)
can.airmass = air_min
can.time = time[k_min].iso
# ever_observable = astroplan.is_observable(constraints, observer, targets, time_range=time_range)
# print(ever_observable)
if month_detalied == 1:
tim = []
months = [
'2017-10-01', '2017-11-01', '2017-12-01', '2018-01-01',
'2018-02-01', '2018-03-01', '2018-04-01'
]
#for l in range(int(str(time_range[0])[5:7]), int(str(time_range[1])[5:7]) + 1):
for l in range(len(months) - 1):
if 0:
start = "2017-" + "{0:0>2}".format(l) + "-01T00:00"
end = "2017-" + "{0:0>2}".format(l + 1) + "-01T00:00"
if l == 12:
end = "2018-01-01T00:00"
else:
start = months[l]
end = months[l + 1]
time_range_temp = Time([start, end])
table = astroplan.observability_table(
constraints,
observer, [target],
time_range=time_range_temp)
tim.append(table[0][3])
# print(tim, max(tim), tim.index(max(tim)))
print(tim)
can.time = max(tim)
if max(tim) != 0:
if 0:
can.month = str(calendar.month_name[tim.index(max(tim)) +
1])[:3]
else:
can.month = tim.index(max(tim))
can.up = 'True'
else:
can.up = 'False'
can.month = '---'
print(can.up, can.month, can.time)
if month_detalied == 0:
table = astroplan.observability_table(constraints,
observer,
targets,
time_range=time_range)
print(table)
for i, can in enumerate(cand):
can.up = table[i][1]
can.time = table[i][3]
# print(table[k][0], table[k][1], table[k][2], table[k][3])
#table.write('DR12_candidates_obs.dat', format='ascii')
# f_out.write(table)
if sky_plot == 1:
plt.legend(loc='center left', bbox_to_anchor=(1.25, 0.5))
plt.show()