def format_observatories(observatories):
"""
A function that takes an input containing observatory information and
formally casts it into a list of Observer objects.
TO IMPLEMENT:
Only takes a list of dictionaries as input, consider generalizing -
IMPLEMENTED, BUT COULD BE BETTER
Args:
observatories: List of dictionaries, with each dictionary containing
the information necessary to initialize an Observer object
{'name' key : string value,
'location' key : EarthLocation value}
Returns:
List of Observer objects
"""
if type(observatories) is list:
return [
Observer(location=observatory.get('location'),
name=observatory.get('name'))
for observatory in observatories
]
elif type(observatories) is dict:
return Observer(location=observatories.get('location'),
name=observatories.get('name'))
def nautical_twilight(self, date_obs,
site_longitude=30.335555,
site_latitude=36.824166,
site_elevation=2500,
site_name="tug",
time_zone="Europe/Istanbul",
which="next"):
# TUG's location info settings
tug = Observer(longitude=site_longitude*u.deg,
latitude=site_latitude*u.deg,
elevation=site_elevation*u.m,
name=site_name,
timezone=time_zone)
# convert date astropy date format
astropy_time = Time(date_obs)
# evening tw calculate
et = tug.twilight_evening_nautical(astropy_time,
which=which)
# morning tw calculate
mt = tug.twilight_morning_nautical(astropy_time,
which=which)
# localized time conversion
return(tug.astropy_time_to_datetime(mt),
tug.astropy_time_to_datetime(et))
def culmination_time_utc_astroplan(source_name, date, print_or_not):
"""
Calculates culmination time in UTC with astroplan library
"""
# Coordinates of UTR-2 radio telescope
longitude = '36d56m27.560s'
latitude = '+49d38m10.310s'
elevation = 156 * u.m
observatory = 'UTR-2, Ukraine'
utr2_location = EarthLocation.from_geodetic(longitude, latitude, elevation)
if print_or_not == 1:
print('\n Observatory:', observatory, '\n')
print(' Coordinates: \n * Longitude: ',
str(utr2_location.lon).replace("d", "\u00b0 ").replace("m", "\' ").replace("s", "\'\' "),
' \n * Latitude: ' + str(utr2_location.lat).replace("d", "\u00b0 ").replace("m", "\' ").replace("s", "\'\' ") + '\n')
print(' Source:', source_name, '\n')
observer = Observer(location=utr2_location, name='Volokhiv Yar', timezone='UTC')
alt, az = catalogue_sources(source_name)
coordinates = SkyCoord(alt, az, frame='icrs')
target = FixedTarget(coord=coordinates, name="target")
date_of_obs = Time(date, scale='utc')
culmination = observer.target_meridian_transit_time(date_of_obs, target, which='next')
culm_time = culmination.to_datetime().time()
culm_time = date + ' ' + str(culm_time)[0:8]
if print_or_not == 1:
print(' Culmination time:', culm_time, ' UTC \n')
return culm_time
def nautical_twilight(self,
date_obs,
site_longitude=30.335555,
site_latitude=36.824166,
site_elevation=2500,
site_name="tug",
time_zone="Europe/Istanbul",
which="next"):
# TUG's location info settings
tug = Observer(longitude=site_longitude * u.deg,
latitude=site_latitude * u.deg,
elevation=site_elevation * u.m,
name=site_name,
timezone=time_zone)
# convert date astropy date format
astropy_time = Time(date_obs)
# evening tw calculate
et = tug.twilight_evening_nautical(astropy_time, which=which)
# morning tw calculate
mt = tug.twilight_morning_nautical(astropy_time, which=which)
# localized time conversion
return (tug.astropy_time_to_datetime(mt),
tug.astropy_time_to_datetime(et))
def tel_move(RA, DEC, n, COLOR, s):
#initialize and update position coordinates
location = EarthLocation.from_geodetic(lon=-111.5947 * u.deg,
lat=31.95844 * u.deg,
height=2097.024 * u.m)
kittpeak = Observer(location=location, name='kitt peak')
coord = SkyCoord(ra=RA * u.deg, dec=DEC * u.deg, unit='deg', frame='icrs')
time = thetime('2018-4-6 00:00:00')
times = time + (n * u.second)
lst = kittpeak.local_sidereal_time(times)
ha = (lst.hour - (RA / 15.0)
) # given in hours, converted to degrees later for PA calc
frame = AltAz(obstime=times, location=location)
new_coord = coord.transform_to(frame)
alt = new_coord.alt.degree
az = new_coord.az.degree
# parallactic angle calculation -----------------------------------------------------------------------------------
sina = np.sin(np.radians(ha * 15.0))
cosa = (np.tan(np.radians(31.95844)) * np.cos(np.radians(DEC))) - (
np.sin(np.radians(DEC)) * np.cos(np.radians(ha * 15.0)))
pa = np.degrees(np.arctan2(sina, cosa))
#s.send(message.encode('utf-8'))
packer = struct.Struct('d d d d d d d')
data = packer.pack(pa, slew_flag, alt, az, ra, dec, othertime.time())
s.send(data)
return s
def rise_time(obsnight, coords, tel=None):
import time
tstart = time.time()
tme = Time(str(obsnight.obs_date).split()[0])
sc = SkyCoord('%s %s' % (coords[0], coords[1]), unit=(u.hourangle, u.deg))
location = EarthLocation.from_geodetic(
obsnight.resource.telescope.longitude * u.deg,
obsnight.resource.telescope.latitude * u.deg,
obsnight.resource.telescope.elevation * u.m)
tel = Observer(location=location, timezone="UTC")
target_rise_time = tel.target_rise_time(tme,
sc,
horizon=18 * u.deg,
which="previous")
if target_rise_time:
returnstarttime = target_rise_time.isot.split('T')[-1]
else:
returnstarttime = None
print(time.time() - tstart)
return (returnstarttime)
def __init__(self, targets, tzinfo='Australia/Sydney', portal_htmls=[]):
### target and calibrators
if not isinstance(targets, Sequence):
targets = [targets]
self.targets = targets
self.calibrator = [FixedTarget(name='1934-638', coord=SkyCoord('19h39m25.026s -63d42m45.63s')),
FixedTarget(name='0823-500', coord=SkyCoord('08h25m26.869s -50d10m38.49s'))]
### observer
ATCA_loc = (149.5501388*u.deg,-30.3128846*u.deg,237*u.m)
location = EarthLocation.from_geodetic(*ATCA_loc)
self.observer = Observer(name='ATCA',
location=location,
timezone=timezone('Australia/Sydney'))
time_now = datetime.now(timezone(tzinfo))
self.utcoffset = time_now.utcoffset()
self.tzinfo = tzinfo
if len(portal_htmls) == 0:
self.portal_tz = None
self.portal_sched = None
else:
atca_scheds = ATCA_sched(portal_htmls)
self.portal_tz = atca_scheds.timezone
self.portal_sched = atca_scheds.schedules
### portal utcoffset
portal_now = datetime.now(timezone(self.portal_tz))
self.portal_utcoffset = portal_now.utcoffset()
def add_obsairmass_df_comp_obs(df_comp_obs, site_dict, df_comps, df_images):
observer = Observer(longitude=site_dict['longitude'] * u.deg,
latitude=site_dict['latitude'] * u.deg,
elevation=site_dict['elevation'] * u.m)
df_comp_obs['ObsAirmass'] = None
skycoord_dict = {
comp_id: SkyCoord(ra=ra_deg * u.deg, dec=dec_deg * u.deg)
for (comp_id, ra_deg, dec_deg
) in zip(df_comps.index, df_comps['RA_deg'], df_comps['Dec_deg'])
}
altaz_frame_dict = {
filename: observer.altaz(Time(jd_mid, format='jd'))
for (filename,
jd_mid) in zip(df_images['FITSfile'], df_images['JD_mid'])
}
print('ObsAirmasses: ', end='', flush=True)
done_count = 0
for obs, filename, comp_id in zip(df_comp_obs.index,
df_comp_obs['FITSfile'],
df_comp_obs['CompID']):
alt = skycoord_dict[comp_id].transform_to(
altaz_frame_dict[filename]).alt.value
df_comp_obs.loc[obs,
'ObsAirmass'] = 1.0 / sin(alt / DEGREES_PER_RADIAN)
done_count += 1
if done_count % 100 == 0:
print('.', end='', flush=True)
print('\nObsAirmasses written to df_comp_obs:', str(len(df_comp_obs)))
def get_info_of_target(target, *args, **kwargs):
ra = target.ra
dec = target.dec
coords = SkyCoord(ra=ra, dec=dec, unit=(u.degree, u.degree))
hanle = EarthLocation(lat=32.77889 * u.degree,
lon=78.96472 * u.degree,
height=4500 * u.m)
iao = Observer(location=hanle, name="GIT", timezone="Asia/Kolkata")
twilight_prime = iao.sun_rise_time(
Time(datetime.utcnow()),
which="next",
horizon=sunrise_horizon * u.degree) - 12 * u.hour
targets_rise_time = iao.target_rise_time(twilight_prime,
coords,
which="nearest",
horizon=horizon * u.degree)
targets_set_time = iao.target_set_time(targets_rise_time,
coords,
which="next",
horizon=horizon * u.degree)
rise_time_IST = (targets_rise_time + 5.5 * u.hour).isot
set_time_IST = (targets_set_time + 5.5 * u.hour).isot
tend = targets_set_time
mooncoords = get_moon(tend, hanle)
sep = mooncoords.separation(coords)
print(target.name, rise_time_IST, set_time_IST, sep)
def simple_track(ra, dec, frame, time, input_lat, input_lon, alt, plot,
alt_limit):
prototype_dish = EarthLocation(lat=input_lat * u.deg,
lon=input_lon * u.deg,
height=alt * u.m)
sc = SkyCoord(ra,
dec,
unit='deg',
frame=frame,
equinox="J2000",
obstime=time[0],
location=prototype_dish)
sc = sc.transform_to('icrs')
prototype_dish_observer = Observer(location=prototype_dish)
source_altaz = sc.transform_to(AltAz(obstime=time,
location=prototype_dish))
for i in range(len(source_altaz)):
if source_altaz[i].alt.deg > alt_limit:
print("{0} {1:3.8f} {2:3.8f} {3} {4}".format(
time[i].mjd,
source_altaz[i].az.deg,
source_altaz[i].alt.deg,
1,
prototype_dish_observer.parallactic_angle(time=time[i],
target=sc).deg,
file=sys.stdout,
flush=True))
else:
break
if plot == 1:
plt.scatter(source_altaz.az.deg, source_altaz.alt.deg)
plt.show()
def __init__(self,
name,
codename,
network,
location,
freqs_sefds,
min_elevation=20 * u.deg,
fullname=None,
all_networks=None,
country='',
diameter=''):
"""Initializes a station. The given name must be the name of the station that
observes, with the typical 2-letter format used in the EVN (with exceptions).
Inputs
- name : str
Name of the observer (the station that is going to observe).
- codename : str
A code for the name of the station. It can be the same as name.
- network : str
Name of the network to which the station belongs.
- location : EarthLocation
Position of the observer on Earth.
- freqs_sefds : dict
Dictionary with all frequencies the station can observe, and as values
the SEFD at each frequency.
- min_elevation : Quantity
Minimum elevation that the station can observe a source. If no units
provided, degrees are assumed. By default it 20 degrees.
- fullname : str [OPTIONAL]
Full name of the station. If not given, `name` is assumed.
- all_networks : str [OPTIONAL]
Networks where the station can participate (free style).
- country : str [OPTIONAL]
Country where the station is placed.
"""
self.observer = Observer(name=name.replace('_', ' '),
location=location)
self._codename = codename
self._network = network
self._freqs_sefds = freqs_sefds
if (type(min_elevation) is float) or (type(min_elevation) is int):
self._min_elev = min_elevation * u.deg
else:
self._min_elev = min_elevation
if fullname is None:
self._fullname = name
else:
self._fullname = fullname
if all_networks is None:
self._all_networks = network
else:
self._all_networks = all_networks
self._country = country
self._diameter = diameter
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 get_sunset_sunrise(self, time):
"""
Returns the sunset and sunrise times of the night containing the time provided
time is a astropy Time object
The sunset and sunrise times are returns as an astropy Time object with the same
settings as the provided Time object.
"""
observer = Observer(location=self.get_EarthLocation())
sunset = observer.sun_set_time(time, which='nearest')
sunrise = observer.sun_rise_time(time, which='nearest')
return sunset, sunrise
def date2dict_times(date):
day = Time(date, format='iso')
longitude = '78d57m53s'
latitude = '32d46m44s'
elevation = 4500 * u.m
location = EarthLocation.from_geodetic(longitude, latitude, elevation)
iaohanle = Observer(location=location,
name="IAO",
timezone='Asia/Kolkata',
description="GROWTH-India 70cm telescope")
sunset_iao = iaohanle.sun_set_time(day, which='next')
sunrise_iao = iaohanle.sun_rise_time(day, which='next')
twelve_twil_eve_iao = iaohanle.twilight_evening_nautical(day, which='next')
eighteen_twil_eve_iao = iaohanle.twilight_evening_astronomical(
day, which='next')
twelve_twil_morn_iao = iaohanle.twilight_morning_nautical(day,
which='next')
eighteen_twil_morn_iao = iaohanle.twilight_morning_astronomical(
day, which='next')
dict_times = OrderedDict()
dict_times['Sunset '] = time2utc_ist(sunset_iao)
dict_times['Sunrise '] = time2utc_ist(sunrise_iao)
dict_times['Twelve degree Evening Twilight '] = time2utc_ist(
twelve_twil_eve_iao)
dict_times['Eighteen degree Evening Twilight '] = time2utc_ist(
eighteen_twil_eve_iao)
dict_times['Twelve degree Morning Twilight '] = time2utc_ist(
twelve_twil_morn_iao)
dict_times['Eighteen degree Morning Twilight '] = time2utc_ist(
eighteen_twil_morn_iao)
return dict_times
def get_SMO_pos():
global lat_i, long_i, RA_i, DEC_i, times, tname_i, option, places
global coords_s, coords_m, coords_o, dist_sun, dist_moon, loc
"""read in from entry boxes"""
##handle if there is a look up to be done
site = option.get()
if (site is 'Anywhere Else'):
lat = float(lat_i.get())
long = float(long_i.get())
else:
if (places.get(site) is None):
Label(master,
bg='red',
text='SITE NAME {} IS NOT VALID'.format(site.upper())).grid(
row=5, column=3)
return None
else:
lat, long = places[site]
#loc = coordinates.EarthLocation(lat=lat*u.deg, lon=long*u.deg)
loc = Observer(longitude=long * u.degree,
latitude=lat * u.degree,
name=site)
tname = str(tname_i.get())
if (tname is ''):
RA = float(RA_i.get())
DEC = float(DEC_i.get())
"""target's RA and DEC"""
coords_o = coordinates.SkyCoord(ra=RA * u.hour,
dec=DEC * u.degree,
frame='gcrs')
else:
coords_o = coordinates.SkyCoord.from_name(tname, frame='gcrs')
"""Sun's RA and DEC throughout the given time"""
coords_s = loc.sun_altaz(times)
"""Moon's RA and DEC at the location, throughout the given time"""
coords_m = loc.moon_altaz(times)
"""get separation angles in radians for the Sun and Moon"""
"""this returns a value in the range [-180, 180]"""
dist_sun = (coords_s.separation(coords_o).degree)
dist_moon = (coords_m.separation(coords_o).degree)
"""change button after press"""
WHERE_button.config(fg='black', bg='#FFE100')
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')
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 __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 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 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 test_months_observable():
obs = Observer(latitude=0 * u.deg, longitude=0 * u.deg, elevation=0 * u.m)
coords = [
SkyCoord(ra=0 * u.hourangle, dec=0 * u.deg),
SkyCoord(ra=6 * u.hourangle, dec=0 * u.deg),
SkyCoord(ra=12 * u.hourangle, dec=0 * u.deg),
SkyCoord(ra=18 * u.hourangle, dec=0 * u.deg)
]
targets = [FixedTarget(coord=coord) for coord in coords]
constraints = [
AltitudeConstraint(min=80 * u.deg),
AtNightConstraint.twilight_astronomical()
]
time_range = Time(['2014-01-01', '2014-12-31'])
months = months_observable(constraints, obs, targets, time_range)
should_be = [
set({7, 8, 9, 10, 11, 12}),
set({1, 2, 3, 10, 11, 12}),
set({1, 2, 3, 4, 5, 6}),
set({4, 5, 6, 7, 8, 9})
]
assert months == should_be
def site_information(UhaveE_ID, longitude, latitude, altitude):
site_inf = Observer(longitude=longitude * u.deg,
latitude=latitude * u.deg,
elevation=altitude * u.m,
name=UhaveE_ID)
# u.deg set the unit to degree
return site_inf
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 astronomical_twilight(self, date_obs,
site_longitude=30.335555,
site_latitude=36.824166,
site_elevation=2500,
site_name="tug",
time_zone="Europe/Istanbul",
which="next"):
"""
It calculates astronomical twilight.
@param date_obs
@type date_obs: date
@param site_longitude: Site longitude.
@type site_longitude: float
@param site_latitude: Site latitude.
@type site_latitude: float
@param site_elevation: Site elevation.
@type site_elevation: float
@param site_name: Station name: T60|T100|RTT150.
@type site_name: string
@param time_zone: Time zone.
@type time_zone: int
@param which: Which.
@type which: string
@return: tuple
"""
# TUG's location info settings
tug = Observer(longitude=site_longitude*u.deg,
latitude=site_latitude*u.deg,
elevation=site_elevation*u.m,
name=site_name,
timezone=time_zone)
# convert date astropy date format
astropy_time = Time(date_obs)
# evening tw calculate
et = tug.twilight_evening_astronomical(astropy_time,
which=which)
# morning tw calculate
mt = tug.twilight_morning_astronomical(astropy_time,
which=which)
# localized time conversion
return(tug.astropy_time_to_datetime(mt),
tug.astropy_time_to_datetime(et))
def observer(config):
loc = config['location']
location = EarthLocation(lon=loc['longitude'],
lat=loc['latitude'],
height=loc['elevation'])
return Observer(location=location,
name="Test Observer",
timezone=loc['timezone'])
def main():
#define observer located at ckoirama observatory
location = EarthLocation.from_geodetic(-69.930544 * u.deg,
-24.089385 * u.deg, 980 * u.m)
ckoirama = Observer(location=location,
name="Ckoirama",
timezone="Chile/Continental")
time = Time('2018-05-06 12:00:00')
def tonight_set_time(obsnight,coords):
time = Time(datetime.datetime.now())
sc = SkyCoord('%s %s'%(coords[0],coords[1]),unit=(u.hourangle,u.deg))
location = EarthLocation.from_geodetic(
obsnight.telescope.longitude*u.deg,obsnight.telescope.latitude*u.deg,
obsnight.telescope.elevation*u.m)
tel = Observer(location=location, timezone="UTC")
target_set_time = tel.target_set_time(time,sc,horizon=18*u.deg,which="previous")
if target_set_time:
returnendtime = target_set_time.isot.split('T')[-1]
else: returnendtime = None
return(returnendtime)
def astronomical_twilight(self,
date_obs,
site_longitude=30.335555,
site_latitude=36.824166,
site_elevation=2500,
site_name="tug",
time_zone="Europe/Istanbul",
which="next"):
"""
It calculates astronomical twilight.
@param date_obs
@type date_obs: date
@param site_longitude: Site longitude.
@type site_longitude: float
@param site_latitude: Site latitude.
@type site_latitude: float
@param site_elevation: Site elevation.
@type site_elevation: float
@param site_name: Station name: T60|T100|RTT150.
@type site_name: string
@param time_zone: Time zone.
@type time_zone: int
@param which: Which.
@type which: string
@return: tuple
"""
# TUG's location info settings
tug = Observer(longitude=site_longitude * u.deg,
latitude=site_latitude * u.deg,
elevation=site_elevation * u.m,
name=site_name,
timezone=time_zone)
# convert date astropy date format
astropy_time = Time(date_obs)
# evening tw calculate
et = tug.twilight_evening_astronomical(astropy_time, which=which)
# morning tw calculate
mt = tug.twilight_morning_astronomical(astropy_time, which=which)
# localized time conversion
return (tug.astropy_time_to_datetime(mt),
tug.astropy_time_to_datetime(et))
def compute_is_up(name, time):
'''
Computes what V<11 objects in a catalog are up right now.
args:
name (str): one in: ['messier', 'ngc']
time (str): in 24hr format, e.g. "2017-04-17 21:00:00"
returns:
catalog with is_up calculated, sorted by v_mag.
'''
import datetime
from astropy.time import Time
from astroplan import FixedTarget
from astropy.coordinates import SkyCoord
from astroplan import Observer, FixedTarget, AltitudeConstraint, \
AtNightConstraint, is_observable, is_always_observable, \
months_observable
assert name in ['messier', 'ngc']
if name == 'messier':
data_path = '../data/catalogs/messier.csv'
elif name == 'ngc':
data_path = '../data/catalogs/ngc.csv'
df = pd.read_csv(data_path)
# The search & target creation is slow for >~thousands of FixedTargets. NGC
# catalog is 13226 objects. Take those with v_mag<11, since from Peyton we
# likely won't go fainter.
df = df.sort_values('v_mag')
df = df[df['v_mag']<11]
peyton = Observer(longitude=74.65139*u.deg, latitude=40.34661*u.deg,
elevation=62*u.m, name='Peyton', timezone='US/Eastern')
if name == 'ngc':
ras = np.array(df['ra'])*u.hourangle
decs = np.array(df['dec'])*u.degree
names = np.array(df['ngc_id'])
elif name == 'messier':
ras = np.array(df['ra'])*u.hourangle
decs = np.array(df['dec'])*u.degree
names = np.array(df['messier_id'])
targets = [FixedTarget(SkyCoord(ra=r, dec=d), name=n) for r, d, n in
tuple(zip(ras, decs, names))]
constraints = [AltitudeConstraint(10*u.deg, 82*u.deg),
AtNightConstraint(max_solar_altitude=-3.*u.deg)]
t_obs = Time(time)
is_up = is_observable(constraints, peyton, targets, times=t_obs)
df['is_up'] = is_up
return df
def get_twilights(start, end):
""" Determine sunrise and sunset times """
location = EarthLocation(
lat=+19.53602,
lon=-155.57608,
height=3400,
)
obs = Observer(location=location, name='VYSOS', timezone='US/Hawaii')
sunset = obs.sun_set_time(Time(start), which='next').datetime
sunrise = obs.sun_rise_time(Time(start), which='next').datetime
# Calculate and order twilights and set plotting alpha for each
twilights = [
(start, 'start', 0.0),
(sunset, 'sunset', 0.0),
(obs.twilight_evening_civil(Time(start),
which='next').datetime, 'ec', 0.1),
(obs.twilight_evening_nautical(Time(start),
which='next').datetime, 'en', 0.2),
(obs.twilight_evening_astronomical(Time(start),
which='next').datetime, 'ea', 0.3),
(obs.twilight_morning_astronomical(Time(start),
which='next').datetime, 'ma', 0.5),
(obs.twilight_morning_nautical(Time(start),
which='next').datetime, 'mn', 0.3),
(obs.twilight_morning_civil(Time(start),
which='next').datetime, 'mc', 0.2),
(sunrise, 'sunrise', 0.1),
]
twilights.sort(key=lambda x: x[0])
final = {
'sunset': 0.1,
'ec': 0.2,
'en': 0.3,
'ea': 0.5,
'ma': 0.3,
'mn': 0.2,
'mc': 0.1,
'sunrise': 0.0
}
twilights.append((end, 'end', final[twilights[-1][1]]))
return twilights
def goto_north():
"""Observer for GOTO-North on La Palma."""
lapalma = EarthLocation(lon=-17.8947 * u.deg,
lat=28.7636 * u.deg,
height=2396 * u.m)
telescope = Observer(name='goto_north',
location=lapalma,
timezone='Atlantic/Canary')
return telescope
def goto_south():
"""Observer for a (theoretical) GOTO-South in Melbourne."""
clayton = EarthLocation(lon=145.131389 * u.deg,
lat=-37.910556 * u.deg,
height=50 * u.m)
telescope = Observer(name='goto_south',
location=clayton,
timezone='Australia/Melbourne')
return telescope
def _get_observer_tzinfo(session_plan):
loc_name, latitude, longitude, elevation = _get_location_info_from_session_plan(
session_plan)
loc_coords = EarthLocation.from_geodetic(
longitude * u.deg, latitude * u.deg,
elevation * u.m if elevation else 0)
tz_info = _get_session_plan_tzinfo(session_plan)
observer = Observer(name=loc_name, location=loc_coords, timezone=tz_info)
return observer, tz_info
def _setup_location(self):
"""
Sets up the site and location details for the observatory
Note:
These items are read from the 'site' config directive and include:
* name
* latitude
* longitude
* timezone
* presseure
* elevation
* horizon
"""
self.logger.debug('Setting up site details of observatory')
try:
config_site = self.config.get('location')
name = config_site.get('name', 'Nameless Location')
latitude = config_site.get('latitude')
longitude = config_site.get('longitude')
timezone = config_site.get('timezone')
utc_offset = config_site.get('utc_offset')
pressure = config_site.get('pressure', 0.680) * u.bar
elevation = config_site.get('elevation', 0 * u.meter)
horizon = config_site.get('horizon', 30 * u.degree)
twilight_horizon = config_site.get('twilight_horizon',
-18 * u.degree)
self.location = {
'name': name,
'latitude': latitude,
'longitude': longitude,
'elevation': elevation,
'timezone': timezone,
'utc_offset': utc_offset,
'pressure': pressure,
'horizon': horizon,
'twilight_horizon': twilight_horizon,
}
self.logger.debug("Location: {}".format(self.location))
# Create an EarthLocation for the mount
self.earth_location = EarthLocation(lat=latitude,
lon=longitude,
height=elevation)
self.observer = Observer(location=self.earth_location,
name=name,
timezone=timezone)
except Exception:
raise error.PanError(msg='Bad site information')
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_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 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_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 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 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 calculate_twilights(date):
""" Determine sunrise and sunset times """
from astropy import units as u
from astropy.time import Time
from astropy.coordinates import EarthLocation
from astroplan import Observer
h = 4.2*u.km
R = (1.0*u.earthRad).to(u.km)
d = np.sqrt(h*(2*R+h))
phi = (np.arccos((d/R).value)*u.radian).to(u.deg)
MK = phi - 90*u.deg
location = EarthLocation(
lat=19+49/60+33.40757/60**2,
lon=-(155+28/60+28.98665/60**2),
height=4159.58,
)
obs = Observer(location=location, name='Keck', timezone='US/Hawaii')
date = Time(dt.strptime(f'{date} 18:00:00', '%Y-%m-%d %H:%M:%S'))
t = {}
sunset = obs.sun_set_time(date, which='nearest', horizon=MK).datetime
t['seto'] = sunset
t['ento'] = obs.twilight_evening_nautical(Time(sunset), which='next').datetime
t['eato'] = obs.twilight_evening_astronomical(Time(sunset), which='next').datetime
t['mato'] = obs.twilight_morning_astronomical(Time(sunset), which='next').datetime
t['mnto'] = obs.twilight_morning_nautical(Time(sunset), which='next').datetime
t['riseo'] = obs.sun_rise_time(Time(sunset), which='next').datetime
t['set'] = t['seto'].strftime('%H:%M UT')
t['ent'] = t['ento'].strftime('%H:%M UT')
t['eat'] = t['eato'].strftime('%H:%M UT')
t['mat'] = t['mato'].strftime('%H:%M UT')
t['mnt'] = t['mnto'].strftime('%H:%M UT')
t['rise'] = t['riseo'].strftime('%H:%M UT')
return t
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])
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')
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")
from astroplan import Observer
import astropy.units as u
from astropy.coordinates import EarthLocation
import pytz
# Define the observer with an instance of astropy.coordinates.EarthLocation,
# also use pytz.timezone() argument directly as `timezone` keyword's input
longitude = '-155d28m48.900s'
latitude = '+19d49m42.600s'
elevation = 4163 * u.m
location = EarthLocation.from_geodetic(longitude, latitude, elevation)
obs = Observer(name='Subaru Telescope',
location=location,
pressure=0.615 * u.bar,
relative_humidity=0.11,
temperature=0 * u.deg_C,
timezone=pytz.timezone('US/Hawaii'),
description="Subaru Telescope on Mauna Kea, Hawaii")
# It would also be desirable to be able to have a small database of
# common telescopes. Maybe this can at first simply take the form of
# a python module:
from astroplan import sites
obs = sites.Keck1
# Environmental conditions should be updatable.
obs.pressure = 0.600 * u.bar
obs.relative_humidity = 0.2
obs.temperature = 10 * u.deg_C
def get_altaz(obj_name, ipt_lon, ipt_lat, t=None):
# for html scrapping
# from lxml import html
# from bs4 import BeautifulSoup
# to place requests
import requests
import json
import astropy.units as u
from astropy.time import Time
from astropy.coordinates import SkyCoord, EarthLocation, Angle, Latitude, Longitude
from astroplan import FixedTarget, Observer
from astroquery.simbad import Simbad as simbad
import ephem
if t == None:
t = Time.now()
## Set up the observer
obs_el = 100 * u.m
loc = EarthLocation.from_geodetic(ipt_lon, ipt_lat, obs_el)
my_site = Observer(name="My_Site", location=loc)
obs_lat = my_site.location.latitude
obs_lon = my_site.location.longitude
# observer for pyephem
ephem_site = ephem.Observer()
ephem_site.lon, ephem_site.lat = str(obs_lon.deg), str(obs_lat.deg)
ephem_site.date = ephem.Date(str(t.decimalyear))
##Get the object
# Check for planet-hood.
# if planet: resolve the individual planet with pyephem.
# else if satellite or ISS (or TIANGONG) scrap the appropriate websites and return info
# else query simbad
############
# Put in an auto-correct for kids
############
# just make it lower case for now
obj_name = obj_name.lower()
if obj_name in ["sun", "mercury", "venus", "moon", "mars", "jupiter", "saturn", "uranus", "neptune", "pluto"]:
if obj_name == "sun":
my_planet = ephem.Sun()
elif obj_name == "mercury":
my_planet = ephem.Mercury()
elif obj_name == "venus":
my_planet = ephem.Venus()
elif obj_name == "moon":
my_planet = ephem.Moon()
elif obj_name == "mars":
my_planet = ephem.Mars()
elif obj_name == "jupiter":
my_planet = ephem.Jupiter()
elif obj_name == "saturn":
my_planet = ephem.Saturn()
elif obj_name == "uranus":
my_planet = ephem.Uranus()
elif obj_name == "neptune":
my_planet = ephem.Neptune()
elif obj_name == "pluto":
my_planet = ephem.Pluto()
my_planet.compute(ephem_site)
az = my_planet.az * 180 / 3.1415926535
alt = my_planet.alt * 180 / 3.1415926535
# here coded for just ISS but for all satellites we should have similar setups, probably poll site
elif obj_name == "iss":
# try a request for the iss from the open notify site. Gives current json data
page = requests.get("http://api.open-notify.org/iss-now.json")
issdata = page.json()
tstamp = issdata["timestamp"]
isslat = issdata["iss_position"]["latitude"]
isslon = issdata["iss_position"]["longitude"]
# there are issues with just this amount of data as you do not know the altitude of the object
# here we fix it to 350 km
issheight = 350 * u.km
isslat = Latitude(isslat, unit=u.deg)
isslon = Longitude(isslon, unit=u.deg)
# there are issues however as this data does NOT contain the altitude so lets try scrapping the html
# the issue with fullissdata is that it contains information in NASA style units (M50 Cartesian & M50 Keplerian)
page = requests.get(
"http://spaceflight.nasa.gov/realdata/sightings/SSapplications/Post/JavaSSOP/orbit/ISS/SVPOST.html"
)
# fullissdata=html.fromstring(page.text)
# there are also other satellites liseted in, issue is parsing the information as I do not know what each field contains
# the issue here is that all sat data contains unknown units and uncertain which entries contain useful information
page = requests.get("http://www.celestrak.com/NORAD/elements/stations.txt")
allsatdata = page.text
c = SkyCoord(isslon, isslat, issheight)
my_target = FixedTarget(name="ISS", coord=c)
az = my_site.altaz(t, my_target).az.deg
alt = my_site.altaz(t, my_target).alt.deg
else:
try:
q = simbad.query_object(obj_name)
c = SkyCoord(q["RA"][0], q["DEC"][0], unit=(u.hourangle, u.deg))
my_star = FixedTarget(name="my_star", coord=c)
az = my_site.altaz(t, my_star).az.deg
alt = my_site.altaz(t, my_star).alt.deg
except:
print("Couldn't find Object in Database")
alt, az = 0, 0
return alt, az
def post_save_night(sender, **kwargs):
if not kwargs.get('raw', False):
night = kwargs['instance']
location = night.location
astropy_time = Time(datetime.combine(night.date, time(12)))
astropy_time_delta = TimeDelta(600.0, format='sec')
# guess if the moon is waxing or waning
if ephem.next_full_moon(night.date) - ephem.Date(night.date) < ephem.Date(night.date) - ephem.previous_full_moon(night.date):
waxing_moon = True
else:
waxing_moon = False
observer = Observer(
longitude=location.longitude,
latitude=location.latitude,
timezone='UTC'
)
moon_phase = observer.moon_phase(astropy_time).value
if waxing_moon:
moon_phase = (math.pi - moon_phase) / (2 * math.pi)
else:
moon_phase = (math.pi + moon_phase) / (2 * math.pi)
times = {
'sunset': observer.sun_set_time(astropy_time, which='next'),
'civil_dusk': observer.twilight_evening_civil(astropy_time, which='next'),
'nautical_dusk': observer.twilight_evening_nautical(astropy_time, which='next'),
'astronomical_dusk': observer.twilight_evening_astronomical(astropy_time, which='next'),
'midnight': observer.midnight(astropy_time, which='next'),
'astronomical_dawn': observer.twilight_morning_astronomical(astropy_time, which='next'),
'nautical_dawn': observer.twilight_morning_nautical(astropy_time, which='next'),
'civil_dawn': observer.twilight_morning_civil(astropy_time, which='next'),
'sunrise': observer.sun_rise_time(astropy_time, which='next'),
}
night.mjd = int(astropy_time.mjd) + 1
night.moon_phase = moon_phase
for key in times:
if times[key].jd > 0:
setattr(night, key, times[key].to_datetime(timezone=utc))
post_save.disconnect(post_save_night, sender=sender)
night.save()
post_save.connect(post_save_night, sender=sender)
moon_positions = []
for i in range(144):
moon_altitude = observer.moon_altaz(astropy_time).alt.degree
moon_position = MoonPosition(
timestamp=astropy_time.to_datetime(timezone=utc),
altitude=moon_altitude,
location=location
)
moon_positions.append(moon_position)
astropy_time += astropy_time_delta
MoonPosition.objects.bulk_create(moon_positions)
environmental attributes thereof that affect observation calculations
at that location.
"""
# Define an observer by full specification.
# Latitude/Longitude take input as strings or quantities,
# elevation, pressure, temperature must be quantities.
# Accept `timezone` from pytz
from astroplan import Observer
import astropy.units as u
import pytz
obs = Observer(name='Subaru Telescope',
longitude='-155:28:48.900',
latitude='+19:49:42.600',
elevation=4163 * u.meter,
pressure=0.615 * u.bar,
relative_humidity=0.11,
temperature=0 * u.deg_C,
timezone=pytz.timezone('US/Hawaii'),
description="Subaru Telescope on Mauna Kea, Hawaii")
# Define the same observer with an instance of astropy.coordinates.EarthLocation,
# also use pytz.timezone() argument directly as `timezone` keyword's input
from astropy.coordinates import EarthLocation
obs = Observer(name='Subaru',
location=EarthLocation(lon='-155:28:48.900',
lat='+19:49:42.600'),
elevation=4163 * u.meter,
pressure=0.615 * u.bar,
relative_humidity=0.11,
temperature=0 * u.deg_C,