def visibility(ra, dec, observatory, time):
source = SkyCoord(ra=Angle(ra * u.deg), dec=(dec * u.deg))
location = observatory.position
time = Time(time)
altaz = source.transform_to(AltAz(obstime=time, location=location))
altaz_sun = get_sun(time).transform_to(
AltAz(obstime=time, location=location))
altaz_moon = get_moon(time).transform_to(
AltAz(obstime=time, location=location))
delta_time = np.linspace(0, 24, 200) * u.hour
frame = AltAz(obstime=time + delta_time, location=location)
frame_night = source.transform_to(frame)
frame_sun_night = get_sun(time + delta_time).transform_to(frame)
frame_moon_night = get_moon(time + delta_time).transform_to(frame)
moon_distance = np.mean(
source.separation(
SkyCoord(
get_moon(time + delta_time).ra,
get_moon(time + delta_time).dec)))
sun_distance = np.mean(
source.separation(
SkyCoord(
get_sun(time + delta_time).ra,
get_sun(time + delta_time).dec)))
date = ephem.Date(time.value)
moon_phase = (date - ephem.previous_new_moon(date)) / (
ephem.next_new_moon(date) - ephem.previous_new_moon(date))
return altaz, delta_time, frame_night, frame_sun_night, moon_distance, sun_distance, moon_phase
def is_visible(self,
orbit,
time,
limb_angle=None,
sun_angle=None,
moon_angle=None):
"""
checks if the GRB is visible above the Earth limb
for the given times
:param orbit:
:param time:
:returns:
:rtype:
"""
horizon_angle = 90 - np.rad2deg(
np.arccos((a_e / orbit.a).to(u.dimensionless_unscaled).value))
# add Earth limb restraint
if limb_angle is not None:
horizon_angle += limb_angle # deg
pos = orbit.r_eci(time).to("km")
sun_pos = None
if sun_angle is not None:
sun_pos = get_moon(time).cartesian.xyz.to("km").value.T
moon_pos = None
if moon_angle is not None:
moon_pos = get_moon(time).cartesian.xyz.to("km").value.T
return _is_visibile(
pos.T,
self.cart_position,
horizon_angle,
sun_angle,
sun_pos,
moon_angle,
moon_pos,
len(time),
)
def plot_altitude(target_list={}, observatory=None, utc_offset=0, obs_time=None, show_sun=True, show_moon=True):
"""plot the position of science target during observation
"""
# define the observation time
delta_hours = np.linspace(-12, 12, 100)*u.hour
obstimes = obs_time + delta_hours - utc_offset
# observertory
altaz_frames = AltAz(location=observatory, obstime=obstimes)
target_altaz_list = {}
for name, skcoord in target_list.items():
target_altaz_list[name] = skcoord.transform_to(altaz_frames)
fig = plt.figure(figsize=(12, 4))
ax = fig.add_subplot(121)
for name, pos in target_altaz_list.items():
ax.scatter(delta_hours, pos.alt, label=name, s=8)
ax.set_title("Observed on {}".format(obs_time.fits))
# get position of sun and moon
sun = get_sun(obstimes).transform_to(altaz_frames)
if show_sun:
ax.plot(delta_hours, sun.alt, 'r', label='sun')
if show_moon:
moon = get_moon(obstimes).transform_to(altaz_frames)
ax.plot(delta_hours, moon.alt, 'k--', label='moon')
ax.fill_between(delta_hours.to('hr').value, -90, 90, sun.alt < -0*u.deg,
color='0.5', zorder=0, alpha=0.5)
ax.fill_between(delta_hours.to('hr').value, -90, 90, sun.alt < -18*u.deg,
color='k', zorder=0, alpha=0.5)
ax.set_xlabel('LST offset')
ax.set_ylabel('Altitude')
# ax.set_ylim(-10, 90)
ax.legend(loc='upper right')
# plt.tight_layout()
ax = fig.add_subplot(122, projection='polar')
for name, pos in target_altaz_list.items():
ax.plot(pos.az/180*np.pi, np.cos(pos.alt), label=name, marker='.', ms=8)
if show_sun:
ax.plot(sun.az/180*np.pi, np.cos(sun.alt), 'r.', label='sun')
if show_moon:
moon = get_moon(obstimes).transform_to(altaz_frames)
ax.plot(moon.az/180*np.pi, np.cos(moon.alt), 'k--', label='moon')
ax.set_ylim(0, 1)
plt.show()
def moon_position_icrs(self):
"""
:return: moon position as SkyCood object in icrs frame
"""
tmp_moon = get_moon(self._time)
#in ICRS
return SkyCoord(tmp_moon.ra.deg, tmp_moon.dec.deg, unit='deg', frame='gcrs',obstime=self._time).icrs
def get(self, source_coord, frame):
"""Evaluate the constraint for given targets, a specific location and
time.
Parameters
-----
source_coord : astropy.SkyCoord
Coordinates of the target sources.
frame : astropy.coordinates.builtin_frames.altaz.AltAz
A coordinate or frame in the Altitude-Azimuth system.
Returns
-----
out : numpy.ndarray
Array of boolean values. One entry for each input coordinate.
The entry is True, if the source is observable according to the
constrains, and False otherwise.
"""
# if frame is the same as before re-use Moon positions:
if self._same_frame(frame):
moon_altaz = self.moon_altaz
# otherwise calculate new Moon positions:
else:
moon_altaz = get_moon(frame.obstime).transform_to(frame)
self.moon_altaz = moon_altaz
self.last_frame = frame
source_altaz = source_coord.transform_to(frame)
separation = source_altaz.separation(moon_altaz)
observable = np.logical_or(separation <= self.limit_lo,
separation >= self.limit_hi)
#observable = np.array(observable, dtype=float)
return observable
def get_planet_info():
planet_info = []
with solar_system_ephemeris.set('de432s'):
for planet_name in planets:
planet = get_body(planet_name, current_time, location)
planet_info.append({
"name":
planet_name,
"lightMinutes":
to_light_minutes(planet.distance),
"xyz":
get_xyz(planet)
})
sun = get_sun(current_time)
planet_info.append({
"name": "The Sun",
"lightMinutes": to_light_minutes(sun.distance),
"xyz": get_xyz(sun)
})
moon = get_moon(current_time)
planet_info.append({
"name": "The Moon",
"lightMinutes": to_light_minutes(moon.distance),
"xyz": get_xyz(moon)
})
return json.dumps(planet_info)
def moon_distance(loc, t2, t3):
# Get the distance to the moon via the umbra diameter estimate
if isinstance(loc, type(u'')) or isinstance(loc, type('')):
loc = EarthLocation.of_address(loc)
# Location of Sun & Moon
sun = get_sun(t2)
moon = get_moon(t2, loc)
# Umbra size, from time and location
su = estimate_umbra(loc, t2, t3)
# Constants in km
re = R_earth.to(u.km).value
ds = sun.distance.to(u.km).value
rs = R_sun.to(u.km).value
rm = 1738.1
dm = (2 * rm - su) * ds / (2 * (rs - rm)) + re
print(
'Distance estimate: {:.7} km (Actual: {:.7}). Ratio: {:.2}. Difference: {:.7}'
.format(dm, moon.distance, moon.distance / (dm * u.km),
dm * u.km - moon.distance))
# moon.distance is from surface, not center
return dm, moon.distance.to(u.km).value + re
def evaluateDay(thisDate):
delta_midnight = np.linspace(-12, 12, 96) * u.hour
tomorrow = thisDate + dt.timedelta(days=1)
midnight = Time("{}-{}-{} 00:00:00".format(tomorrow.year, tomorrow.month,
tomorrow.day)) - utcoffset
moonIllum = moon_illumination(
midnight) # assume constant illumination throughout the day
# if (moonIllum > MAX_MOON_ILLUMINATION):
# return 0
allDay = midnight + delta_midnight
allDayFrame = AltAz(obstime=allDay, location=observerLocation)
objectAltAziAllDay = objectToObserve.transform_to(allDayFrame)
objectAltAllDay = objectAltAziAllDay.alt
sunAltAllDay = get_sun(allDay).transform_to(allDayFrame).alt
moonAltAziAllDay = get_moon(allDay).transform_to(allDayFrame)
moonAltAllDay = moonAltAziAllDay.alt
#moonIllumAllDay = moon.moon_illumination(allDay)
objectVisible = objectAltAllDay > (OBJECT_MIN_ALT * u.deg)
nightTime = sunAltAllDay < (MAX_SUN_ALT * u.deg)
moonLess = moonAltAllDay < (MAX_MOON_ALT * u.deg)
goodHours = np.sum(objectVisible & nightTime & moonLess) * 0.25
#deltaAngles = np.rad2deg(angleBetweenPolarVectors(objectAltAziAllDay,moonAltAziAllDay)) # Great circle angle between the moon and the object
# fig1 = plt.figure(num=None, figsize=(10, 6), dpi=80, facecolor='w', edgecolor='k')
# ax1 = fig1.add_subplot(1,1,1)
# ax1.plot(delta_midnight,objectAltAllDay,color='blue')
# ax1.plot(delta_midnight,sunAltAllDay,color='red')
# ax1.plot(delta_midnight,moonAltAllDay,color='black')
# ax1.plot(delta_midnight,np.rad2deg(deltaAngles),color='green')
return goodHours
def onclick(event):
#if not event.inaxes:
if event.inaxes != ax1:
return
xint = np.floor(event.xdata + 0.5)
yint = np.floor(event.ydata + 0.5)
delta_midnight = np.linspace(-12, 12, 96) * u.hour
tomorrow = firstSunday + dt.timedelta(
days=yint + (xint * 7)) + dt.timedelta(days=1)
midnight = Time("{}-{}-{} 00:00:00".format(
tomorrow.year, tomorrow.month, tomorrow.day)) - utcoffset
allDay = midnight + delta_midnight
allDayFrame = AltAz(obstime=allDay, location=observerLocation)
objectAltAziAllDay = objectToObserve.transform_to(allDayFrame)
objectAltAllDay = objectAltAziAllDay.alt
sunAltAllDay = get_sun(allDay).transform_to(allDayFrame).alt
moonAltAziAllDay = get_moon(allDay).transform_to(allDayFrame)
moonAltAllDay = moonAltAziAllDay.alt
deltaAngles = np.rad2deg(
angleBetweenPolarVectors(objectAltAziAllDay, moonAltAziAllDay)
) # Great circle angle between the moon and the object
ax3.clear()
ax3.plot(delta_midnight, objectAltAllDay, color='blue')
ax3.plot(delta_midnight, sunAltAllDay, color='red')
ax3.plot(delta_midnight, moonAltAllDay, color='black')
ax3.plot(delta_midnight, deltaAngles, color='green')
ax3.set_title(
(firstSunday + dt.timedelta(days=yint +
(xint * 7))).strftime("%B %d, %Y"),
fontsize=8)
ax3.set_ylabel('degrees', fontsize=8)
ax3.set_xlabel('hours around midnight', fontsize=8)
ax3.set_ylim(0, np.max([90, np.max(deltaAngles)]))
def moon_and_sun(time, RA, DEC):
"""
Input: astropy.time.Time object
Uses astropy get_moon and get_sun for lat and lon, then transforms to AltAz frame
"""
moon = get_moon(time, location=APACHE)
sun = get_sun(time)
target = SkyCoord(RA, DEC, unit=u.deg, frame=moon.frame)
#separations
moon_dist = moon.distance.value
moon_sep = moon.separation(target).degree
sun_moon_sep = moon.separation(sun.transform_to(moon.frame)).degree
sun_elong = target.separation(sun.transform_to(moon.frame)).degree
#geocentric latitude and longitude
moon_lat, moon_lon = (moon.geocentrictrueecliptic.lat.value,
moon.geocentrictrueecliptic.lon.value)
sun_lat, sun_lon = (sun.geocentrictrueecliptic.lat.value,
sun.geocentrictrueecliptic.lon.value)
#change to altaz frame
moon_altaz = moon.transform_to(AltAz(obstime=time, location=APACHE))
sun_altaz = sun.transform_to(AltAz(obstime=time, location=APACHE))
moon_alt, moon_az = (moon_altaz.alt.value, moon_altaz.az.value)
sun_alt, sun_az = (sun_altaz.alt.value, sun_altaz.az.value)
return [
moon_lat, moon_lon, sun_lat, sun_lon, moon_alt, moon_az, sun_alt,
sun_az, moon_dist, moon_sep, sun_moon_sep, sun_elong
]
def next_tile(self, date=None, ra_current=None, dec_current=None, weather=None, bright_time=False, limiting_magnitude=None):
"""
Find the next tile to be observed. This is what Jeeves is going to call each time.
Add ra_current and dec_current (and weather). This is how Jeeves is going to call this method.
"""
# TODO: Now or in 10 minutes?
if date:
self.utc = Time(date, format='iso', scale='utc')
else:
self.utc = Time(Time.now(), format='iso', scale='utc')
self.local_sidereal_time = self.utc.sidereal_time('mean', longitude=params.params['LON']).value
self.moon = get_moon(self.utc)
# ONLY BRIGHT TIME
if bright_time:
is_bright_time = self.check_if_moon_is_above_horizon(moon=self.moon, time=self.utc)
if is_bright_time:
pass
else:
print 'Dark time, Taipan is observing.'
return None, None
#~ self.weather_conditions()
#~ if weather_data_filename:
#~ self.weather_data=np.loadtxt(weather_data_filename) # STRING!!
#~ else:
#~ self.weather_data=None
# Telescope position from Jeeves
self.ra_current=ra_current
self.dec_current=dec_current
if ra_current is None:
self.ra_current=self.local_sidereal_time
if dec_current is None:
self.dec_current=-30.0 # TODO
self.limiting_magnitude=limiting_magnitude
best_tile=self.find_best_tile()
if best_tile is None:
return None, None
# Update list of observed tiles
manage_list_of_observed_tiles.add_tile_id_internal_to_the_list({best_tile.TaipanTile.field_id})
json_filename = create_obs_config_json.create_ObsConfig_json(tile=best_tile, utc=self.utc)
self.observed_tiles.add(best_tile.TaipanTile.field_id)
#~ # PLOT
#~ telescope_positions=[best_tile.TaipanTile.ra, best_tile.TaipanTile.dec, self.moon.ra.value, self.moon.dec.value, best_tile.angular_moon_distance]
#~ visualization.plot_selected_tile_with_neighbourhood(moon=self.moon, lst=self.local_sidereal_time, best_tiles=self.best_tiles_to_observe_now, tiles=self.tiles, best_tile=best_tile, i=1, ra_current=self.ra_current, dec_current=self.dec_current, telescope_positions=telescope_positions, observed_tile_ids=self.observed_tiles)
# TODO: what should be a format for Jeeves?
return best_tile, json_filename
def check_moon(file, avoid=30. * u.degree):
if not isinstance(avoid, u.Quantity):
avoid = float(avoid) * u.degree
else:
avoid = avoid.to(u.degree)
header = fits.getheader(file)
mlo = EarthLocation.of_site('Keck Observatory') # Update later
obstime = Time(header['DATE-OBS'],
format='isot',
scale='utc',
location=mlo)
moon = get_moon(obstime, mlo)
if 'RA' in header.keys() and 'DEC' in header.keys():
coord_string = '{} {}'.format(header['RA'], header['DEC'])
target = SkyCoord(coord_string, unit=(u.hourangle, u.deg))
else:
## Assume zenith
target = SkyCoord(obstime.sidereal_time('apparent'), mlo.latitude)
moon_alt = moon.transform_to(AltAz(obstime=obstime,
location=mlo)).alt.to(u.deg)
if moon_alt < 0 * u.degree:
print('Moon is down')
return True
else:
sep = target.separation(moon)
print('Moon is up. Separation = {:.1f} deg'.format(
sep.to(u.degree).value))
return (sep > avoid)
def _perform(self):
"""
Returns an Argument() with the parameters that depends on this operation.
"""
self.log.info(f"Running {self.__class__.__name__} action")
lat=c.Latitude(self.action.args.kd.get('SITELAT'), unit=u.degree)
lon=c.Longitude(self.action.args.kd.get('SITELONG'), unit=u.degree)
height=float(self.action.args.kd.get('ALT-OBS')) * u.meter
loc = c.EarthLocation(lon, lat, height)
temperature=float(self.action.args.kd.get('AMBTEMP'))*u.Celsius
pressure=self.cfg['Telescope'].getfloat('pressure', 700)*u.mbar
altazframe = c.AltAz(location=loc, obstime=self.action.args.kd.obstime(),
temperature=temperature,
pressure=pressure)
moon = c.get_moon(Time(self.action.args.kd.obstime()), location=loc)
sun = c.get_sun(Time(self.action.args.kd.obstime()))
moon_alt = ((moon.transform_to(altazframe).alt).to(u.degree)).value
moon_separation = (moon.separation(self.action.args.header_pointing).to(u.degree)).value\
if self.action.args.header_pointing is not None else None
# Moon illumination formula from Meeus, ÒAstronomical
# Algorithms". Formulae 46.1 and 46.2 in the 1991 edition,
# using the approximation cos(psi) \approx -cos(i). Error
# should be no more than 0.0014 (p. 316).
moon_illum = 50*(1 - np.sin(sun.dec.radian)*np.sin(moon.dec.radian)\
- np.cos(sun.dec.radian)*np.cos(moon.dec.radian)\
* np.cos(sun.ra.radian-moon.ra.radian))
self.action.args.moon_alt = moon_alt
self.action.args.moon_separation = moon_separation
self.action.args.moon_illum = moon_illum
return self.action.args
def moon_phase_angle(time, ephemeris=None):
"""
Calculate lunar orbital phase in radians.
Parameters
----------
time : `~astropy.time.Time`
Time of observation
ephemeris : str, optional
Ephemeris to use. If not given, use the one set with
`~astropy.coordinates.solar_system_ephemeris` (which is
set to 'builtin' by default).
Returns
-------
i : float
Phase angle of the moon [radians]
"""
# TODO: cache these sun/moon SkyCoord objects
sun = get_sun(time)
moon = get_moon(time, ephemeris=ephemeris)
elongation = sun.separation(moon)
return np.arctan2(sun.distance*np.sin(elongation),
moon.distance - sun.distance*np.cos(elongation))
def draw_moon(ax, input_time, input_loc):
moon = get_moon(time=input_time, location=input_loc)
moon = SkyCoord(moon.ra, moon.dec, frame='gcrs').transform_to('icrs')
ax.plot([moon.ra.radian], [-moon.dec.value + 45],
color='yellow',
linestyle='',
marker='o')
def test_moon_separation():
time = Time('2003-04-05 06:07:08')
apo = Observer.at_site("APO")
altaz_frame = apo.altaz(time)
moon = get_moon(time, apo.location).transform_to(altaz_frame)
one_deg_away = SkyCoord(az=moon.az,
alt=moon.alt + 1 * u.deg,
frame=altaz_frame)
five_deg_away = SkyCoord(az=moon.az + 5 * u.deg,
alt=moon.alt,
frame=altaz_frame)
twenty_deg_away = SkyCoord(az=moon.az + 20 * u.deg,
alt=moon.alt,
frame=altaz_frame)
constraint = MoonSeparationConstraint(min=2 * u.deg, max=10 * u.deg)
is_constraint_met = constraint(
apo, [one_deg_away, five_deg_away, twenty_deg_away], times=time)
assert np.all(is_constraint_met == [False, True, False])
constraint = MoonSeparationConstraint(max=10 * u.deg)
is_constraint_met = constraint(
apo, [one_deg_away, five_deg_away, twenty_deg_away], times=time)
assert np.all(is_constraint_met == [True, True, False])
constraint = MoonSeparationConstraint(min=2 * u.deg)
is_constraint_met = constraint(
apo, [one_deg_away, five_deg_away, twenty_deg_away], times=time)
assert np.all(is_constraint_met == [False, True, True])
def calculate_az_el(self, name, time, alt_az_frame):
"""Calculates Azimuth and Elevation of the Specified Object at the Specified Time
Parameters
----------
name : str
Name of the Object being Tracked
time : Time
Current Time (only necessary for Sun/Moon Ephemeris)
alt_az_frame : AltAz
AltAz Frame Object
Returns
-------
(float, float)
(az, el) Tuple
"""
if name == "Sun":
alt_az = get_sun(time).transform_to(alt_az_frame)
elif name == "Moon":
alt_az = get_moon(time, self.location).transform_to(alt_az_frame)
else:
alt_az = self.sky_coords[self.sky_coord_names[name]].transform_to(
alt_az_frame)
return alt_az.az.degree, alt_az.alt.degree
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 moon_altaz(self, time, ephemeris=None):
if not isinstance(time, Time):
time = Time(time)
moon = get_moon(time, location=self.location, ephemeris=ephemeris)
return self.altaz(time, moon, grid=False)
def _get_obs_param(ra, dec, mjd):
''' get observing condition given tileid and time of observation
'''
from astropy.time import Time
from astropy.coordinates import EarthLocation, SkyCoord, AltAz, get_sun, get_moon
kpno = EarthLocation.of_site('kitt peak')
# get observing conditions
coord = SkyCoord(ra=ra * u.deg, dec=dec * u.deg)
utc_time = Time(mjd, format='mjd') # observed time (UTC)
kpno_altaz = AltAz(obstime=utc_time, location=kpno)
coord_altaz = coord.transform_to(kpno_altaz)
airmass = coord_altaz.secz
# sun
sun = get_sun(utc_time)
sun_altaz = sun.transform_to(kpno_altaz)
sun_alt = sun_altaz.alt.deg
sun_sep = sun.separation(coord).deg # sun separation
# moon
moon = get_moon(utc_time)
moon_altaz = moon.transform_to(kpno_altaz)
moon_alt = moon_altaz.alt.deg
moon_sep = moon.separation(coord).deg #coord.separation(self.moon).deg
elongation = sun.separation(moon)
phase = np.arctan2(sun.distance * np.sin(elongation),
moon.distance - sun.distance * np.cos(elongation))
moon_phase = phase.value
moon_ill = (1. + np.cos(phase)) / 2.
return airmass, moon_ill.value, moon_alt, moon_sep, sun_alt, sun_sep
def moonlight_veto(self, dt, debug=False):
"""
Check if the Moon period defined by the rise and set time correspond
to a situation where the moon is too bright or too close from the
source.
If this is the case (too bright or too close), returns True
(the veto is confirmed).
"""
too_bright = False
too_close = False
# Check moon illumination
for t in dt:
moonlight = moon_illumination(Df(t))
if (moonlight >= self.moon_maxlight):
too_bright = True
if (debug):
print("Moonlight :", moonlight,
" too bright ! -> confirmed")
break
# Check distance to source at rise and set
for t in dt:
moon_radec = get_moon(Df(t), self.site)
dist = moon_radec.separation(self.target.coord)
if dist <= self.moon_mindist:
too_close = True
if (debug): print(" Moon Distance : ", dist, "too close !")
break
return (too_bright, too_close)
def compute_sun_moon(self, trange, which='sun', dt_min=5):
"""
compute the position of the sun/moon from the location of the observatory
between the specified time interval.
:param iterable trange: list of 2 elements specifying the time range (UTC).
Each of them can be either a `str` or `astropy.time.Time`.
:param str which: celestial body to 'move'. Either 'sun' or 'moon'
:param float dt_min: time resolution in minues.
:returns: position of the sun/moon as observed from this location at the given time.
:rtype astropy.coordinates.SkyCoord:
"""
start = time.time()
# create the time object
times = get_times(trange, dt_min)
# define the observatory reference frame and move the sun
obs_altaz = self.get_alt_az()
if which.lower() == 'sun':
skypos = get_sun(times).transform_to(obs_altaz)
elif which.lower() == 'moon':
skypos = get_moon(times).transform_to(obs_altaz)
else:
raise ValueError(
"compute_sun_moon accepts either 'sun' or 'moon'. Got %s" %
(which))
end = time.time()
self.logger.debug(
"Computing %s motion from %s to %s (res: %.2f min, %d steps). Took %.2f sec"
% (which, times.min().iso, times.max().iso, dt_min, len(times),
(end - start)))
return skypos
def moon_phase_angle(time, ephemeris=None):
"""
Calculate lunar orbital phase in radians.
Parameters
----------
time : `~astropy.time.Time`
Time of observation
location : `~astropy.coordinates.EarthLocation`
Location of observer
ephemeris : str, optional
Ephemeris to use. If not given, use the one set with
`~astropy.coordinates.solar_system_ephemeris` (which is
set to 'builtin' by default).
Returns
-------
i : float
Phase angle of the moon [radians]
"""
# TODO: cache these sun/moon SkyCoord objects
sun = get_sun(time)
moon = get_moon(time, ephemeris=ephemeris)
elongation = sun.separation(moon)
return np.arctan2(sun.distance * np.sin(elongation),
moon.distance - sun.distance * np.cos(elongation))
def __init__(self, telLat, telLon, telElv, time, steps, sig1=.11, m1=1.7, t1=800, xlen=500, ylen=500,
mag_range=(-3, 3), dec_range=(-20, 90), ra_range=(0,0), max_sun_alt = -15, timestep=.5):
self.Bews = []
self.Bnss = []
self.Buds = []
self.xlen = xlen
self.ylen = ylen
self.mag_range = mag_range
self.dec_range = dec_range
self.telLat = telLat * u.deg
self.telLon = telLon * u.deg
self.telElv = telElv * u.m
self.tel_loc = EarthLocation(lat=telLat * u.deg, lon=telLon * u.deg, height=telElv * u.m)
self.err_sig = sig1
self.err_mag = m1
self.err_t1 = t1
self.time_info = None
self.time_info = Time(time, location=self.tel_loc)
self.delta_time = np.linspace(-12, 12, steps) * u.hour
self.time_delt = self.delta_time[1]-self.delta_time[0]
self.telFrame = AltAz(obstime=self.time_info + self.delta_time, location=self.tel_loc)
#get indicies for when sky is dark
self.sunaltazs = get_sun(self.delta_time+self.time_info).transform_to(self.telFrame)
self.moonaltazs = get_moon(self.delta_time+self.time_info).transform_to(self.telFrame)
dark_times = np.where((self.sunaltazs.alt < max_sun_alt * u.deg))
self.dark_times = self.telFrame.obstime.sidereal_time('apparent')[dark_times]
self.max_sun_alt = max_sun_alt
self.int_delta_time = np.append(np.arange(-12,12,timestep),12)*u.hour
self.intTelFrame = AltAz(obstime=self.time_info + self.int_delta_time, location=self.tel_loc)
self.intsunaltazs = get_sun(self.int_delta_time+self.time_info).transform_to(self.intTelFrame)
int_dark_times = np.where((self.intsunaltazs.alt < max_sun_alt * u.deg))
self.int_dark_times = self.intTelFrame.obstime.sidereal_time('apparent')[int_dark_times]
#the hour_correction is to shift the sky to include stars that have just barely risen
hour_correction = 4 * u.hourangle
#calculate the possible ra range of the telescope for the given night
if ra_range:
self.ra_range = ra_range
else:
self.ra_range = ((self.dark_times[0] - hour_correction).to('deg').value, (self.dark_times[-1] + hour_correction).to('deg').value)
if self.ra_range[0] > self.ra_range[1]:
self.ra_range = self.ra_range[::-1]
self.catalogs = []
self.cat_names = []
self.star_dict = {}
def compute_constraint(self, times, observer, targets):
"""
Computes the observability of the moon given a minimum distance to the moon between self.min_dist (for
illumination = 0) and self.max_dist (for illumination = 1) by interpolating an intermediate distance from those
two values following a linear regression.
@param times: the times to compute the constraint for
@param observer: the observer to compute the constraint for
@param targets: the list of targets to compute the constraint for
@return: the positive mask for target being observable for the given times and observer given the constraint
is matched
"""
# removed the location argument here, which causes small <1 deg
# inaccuracies, but it is needed until astropy PR #5897 is released
# which should be astropy 1.3.2
moon = get_moon(times)
# note to future editors - the order matters here
# moon.separation(targets) is NOT the same as targets.separation(moon)
# the former calculates the separation in the frame of the moon coord
# which is GCRS, and that is what we want.
moon_separation = moon.separation(targets)
illumination = moon_illumination(times)
min_dist = self.min_dist.value + (self.max_dist.value -
self.min_dist.value) * illumination
mask = min_dist <= moon_separation.degree
return mask
def test_moon_separation():
time = Time('2003-04-05 06:07:08')
apo = Observer.at_site("APO")
altaz_frame = apo.altaz(time)
moon = get_moon(time, apo.location).transform_to(altaz_frame)
one_deg_away = SkyCoord(az=moon.az, alt=moon.alt+1*u.deg, frame=altaz_frame)
five_deg_away = SkyCoord(az=moon.az+5*u.deg, alt=moon.alt,
frame=altaz_frame)
twenty_deg_away = SkyCoord(az=moon.az+20*u.deg, alt=moon.alt,
frame=altaz_frame)
constraint = MoonSeparationConstraint(min=2*u.deg, max=10*u.deg)
is_constraint_met = constraint(apo, [one_deg_away, five_deg_away,
twenty_deg_away], times=time)
assert np.all(is_constraint_met == [False, True, False])
constraint = MoonSeparationConstraint(max=10*u.deg)
is_constraint_met = constraint(apo, [one_deg_away, five_deg_away,
twenty_deg_away], times=time)
assert np.all(is_constraint_met == [True, True, False])
constraint = MoonSeparationConstraint(min=2*u.deg)
is_constraint_met = constraint(apo, [one_deg_away, five_deg_away,
twenty_deg_away], times=time)
assert np.all(is_constraint_met == [False, True, True])
def check_moon(file, avoid=30.*u.degree):
if not isinstance(avoid, u.Quantity):
avoid = float(avoid)*u.degree
else:
avoid = avoid.to(u.degree)
header = fits.getheader(file)
mlo = EarthLocation.of_site('Keck Observatory') # Update later
obstime = Time(header['DATE-OBS'], format='isot', scale='utc', location=mlo)
moon = get_moon(obstime, mlo)
if 'RA' in header.keys() and 'DEC' in header.keys():
coord_string = '{} {}'.format(header['RA'], header['DEC'])
target = SkyCoord(coord_string, unit=(u.hourangle, u.deg))
else:
## Assume zenith
target = SkyCoord(obstime.sidereal_time('apparent'), mlo.latitude)
moon_alt = moon.transform_to(AltAz(obstime=obstime, location=mlo)).alt.to(u.deg)
if moon_alt < 0*u.degree:
print('Moon is down')
return True
else:
sep = target.separation(moon)
print('Moon is up. Separation = {:.1f} deg'.format(sep.to(u.degree).value))
return (sep > avoid)
def visibility_table(observer, target, obstime, dt=1 * u.hour, dt_number=24):
"""Given a target and a date for observation returns....
Inputs:
target:
date:
observer (optional):
dt (optional):
dt_number (optional:
Outpus
table
"""
utcoffset = observer.timezone.utcoffset(obstime.datetime).seconds * u.s
delta_midnight = np.linspace(0, dt_number, dt_number + 1) * u.hour
times = obstime + delta_midnight
frame = AltAz(obstime=times, location=observer.location)
moon_altazs = get_moon(times).transform_to(frame)
sun_altazs = get_sun(times).transform_to(frame)
target_altazs = target.coord.transform_to(frame)
night = observer.is_night(times)
up = observer.target_is_up(times, target)
table = QTable()
table['date'] = times
# table['night'] = night
table['target'] = target_altazs
table['visible'] = up & night
table['airmass'] = target_altazs.secz
table['moon_separation'] = np.sqrt((target_altazs.alt -
moon_altazs.alt)**2 +
(target_altazs.az - moon_altazs.az)**2)
table['moon_iluminationn'] = observer.moon_illumination(times)
import pdb
pdb.set_trace()
return (table)
def moon_distance(ra=DEF__RA, dec=DEF__DEC, date=DEF__DATE, from_now=False):
# check input(s)
ra = DEF__RA if not isinstance(ra, float) else ra
ra = MIN__RA if ra < MIN__RA else ra
ra = MAX__RA if ra > MAX__RA else ra
dec = DEF__DEC if not isinstance(dec, float) else dec
dec = MIN__DEC if dec < MIN__DEC else dec
dec = MAX__DEC if dec > MAX__DEC else dec
date = DEF__DATE if (not isinstance(date, str) or date.strip() == '' or not re.search(ISO__PATTERN, date)) else date
from_now = False if not isinstance(from_now, bool) else from_now
# set default(s)
_sep = None
_time = Time(date) if from_now else Time(date.split()[0])
_time = Time(_time.iso)
_time = Time(_time) + (1.0 * u.day * np.linspace(0.0, 1.0, AST__5_MINUTES))
# noinspection PyBroadException
try:
_moon_coord = get_moon(_time, location=KUIPER_OBSERVATORY)
_obj_radec = SkyCoord(ra=ra*u.deg, dec=dec*u.deg)
_sep = _obj_radec.separation(_moon_coord).deg
except Exception:
_sep = np.linspace(math.nan, math.nan, AST__5_MINUTES)
# return array
return _sep
def moonLC(time, loc):
'''
#################################################################
# Desc: Return ALT, AZ of the moon at utc isot time, location. #
# ------------------------------------------------------------- #
# Imports: astropy.time.Time #
# astropy.coordinates.(Earthlocation, AltAz, get_moon) #
# ------------------------------------------------------------- #
# Input #
# ------------------------------------------------------------- #
# time: str time format in ISOT, UTC #
# loc: iterable floats position coordinate in [long, lat, alt] #
# ------------------------------------------------------------- #
# Output #
# ------------------------------------------------------------- #
# ALT, AZ: float alt-az coordinate position in degree #
#################################################################
'''
from astropy.time import Time
from astropy.coordinates import EarthLocation, AltAz, get_moon
t = Time(time, format='isot', scale='utc')
l = EarthLocation.from_geodetic(*loc)
eq = get_moon(t, l, 'de440')
lc = eq.transform_to(AltAz(obstime=t, location=l))
ALT, AZ = lc.alt.degree, lc.az.degree
return ALT, AZ
def separateap():
for ctime in times:
t = start + ctime
frame = AltAz(obstime=t, location=berlin)
sunaltaz = get_sun(t).transform_to(frame)
if sunaltaz.alt < astronight:
#sunaltazs.append(sunaltaz.alt)
#print(sunaltaz)
#print(sunaltaz.alt)
#print('Moon phase angle:', moon_phase_angle(t, berlin))
lum = moon_illumination(t, berlin)
#print('Moon illumination:', moon_illumination(t, berlin))
if lum < maxillum:
delta.append(ctime)
illum.append(lum)
moon = get_moon(t, berlin)
moonaltaz = moon.transform_to(frame)
#print("Moon's Altitude = {0.alt:.2}".format(moonaltaz))
moonaltazs.append(moonaltaz.alt)
# print(moonaltaz.alt)
if mod == 'graph':
pass
elif mod == 'text' or mod == 'both':
if moonaltaz.alt > Latitude(minalt * u.deg):
dtxt.write('Date and time: ' + str(t) + '\n' +
'Altitude: ' + str(moonaltaz.alt) + '\n' +
'Illumination: ' + str(lum) + '\n \n')
if mod == 'text':
pass
elif mod == 'graph' or mod == 'both':
chobj(delta, illum, moonaltazs)
def moonEQC(time, loc):
'''
#################################################################
# Desc: Return RA, DEC of the moon at utc isot time, location. #
# ------------------------------------------------------------- #
# Imports: astropy.time.Time #
# astropy.coordinates.(Earthlocation, AltAz, get_moon) #
# ------------------------------------------------------------- #
# Input #
# ------------------------------------------------------------- #
# time: str time format in ISOT, UTC #
# loc: iterable floats position coordinate in [long, lat, alt] #
# ------------------------------------------------------------- #
# Output #
# ------------------------------------------------------------- #
# RA, DEC: float equatorial coordinate position in degree #
#################################################################
'''
from astropy.time import Time
from astropy.coordinates import EarthLocation, AltAz, get_moon
t = Time(time, format='isot', scale='utc')
l = EarthLocation.from_geodetic(*loc)
eq = get_moon(t, l, 'de440')
aa = eq.transform_to(AltAz(obstime=t, location=l))
RA, DEC = eq.ra.degree, eq.dec.degree
return RA, DEC
def moon_angle(obsnight, coords):
obstime = Time(str(obsnight.obs_date).split()[0], scale='utc')
mooncoord = get_moon(obstime)
cs = SkyCoord('%s %s' % (coords[0], coords[1]), unit=(u.hourangle, u.deg))
return ('%.1f' % cs.separation(mooncoord).deg)
def get_moon_j2000(epoch, line1, line2, position=None):
'''
Code to determine the apparent J2000 position for a given
time and at a given position for the observatory.
epoch needs to be a datetime or Time object.
position is a list/tuple of X/Y/Z positions
'''
from astropy.time import Time
from astropy.coordinates import get_moon, EarthLocation
import astropy.units as u
import sys
from datetime import datetime
if type(epoch) is Time:
epoch = epoch.datetime
if position is None:
position = get_nustar_location(epoch, line1,
line2) # position in ECI coords
t = Time(epoch)
loc = eci2el(*position * u.km, t)
moon_coords = get_moon(t, loc)
# Get just the coordinates in degrees
ra_moon, dec_moon = moon_coords.ra.degree * u.deg, moon_coords.dec.degree * u.deg
return ra_moon, dec_moon
def get_moon_angle(file_name, number_of_files=100):
df_SKY=pd.read_csv(file_name)
new_SKY = df_SKY.query('OBJTYPE=="SKY".ljust(16)')
DEC = np.array(new_SKY['DEC'].tolist())
FIBERID = np.array(new_SKY['FIBERID'].tolist())
MJD = np.array(new_SKY['MJD'].tolist())
RA = np.array(new_SKY['RA'].tolist())
plates = list(new_SKY['PLATE'][:number_of_files].values)
mjds = list(new_SKY['MJD'][:number_of_files].values)
fiberids = list(new_SKY['FIBERID'][:number_of_files].values)
files = ['spec-%s-%s-%s.fits'%(plate,mjd,str(fiberid).zfill(4)) for plate,mjd,fiberid in zip(plates,mjds,fiberids)]
#FINDING INTERPLATE SKY TIME
fin_mean=[] #time for each moon sky observation interplate, used for moon angle
for r in range(len(files)): #mechanization of ubiquitious exposure count
sampling=fitsio.read_header(files[r],0) #finding number of exposures
h_beg=[]
h_end=[]
mean_per=[] #time for each moon sky observation intraplate
for k in range(4, sampling['NEXP']+4): #4 is constant for everything
h=fitsio.read_header(files[3],k)
h_beg.append(h['TAI-BEG']) #ONLY VARIES WITH PLATE NUMBER, different for k's
h_end.append(h['TAI-END']) #ONLY VARIES WITH PLATE NUMBER, different for k's
mean_times=(h['TAI-BEG']+h['TAI-END'])/2
mean_per.append(mean_times)
tot=np.mean(mean_per)
fin_mean.append(tot)
#TAI TO MJD
new_time=np.array(fin_mean)
time_MJD=new_time/(86400)
moon_coords1=[]
moon_coords=[]
for i in range (len(time_MJD)):
t=Time(time_MJD[i], format='mjd')
moon_coords1.append(get_moon(t))
moon_coords.append(moon_coords1[i].spherical)
moon_coords=list(moon_coords)
#print(moon_coords)
moon_coords2=[]
for i in range(len(moon_coords)):
moon_coords2.append(moon_coords[i]._values)
moon_coords2=np.array(moon_coords2)
sky_coords=np.vstack((RA,DEC)).T
#SPLITTING ARRAY
new_sky_coords=sky_coords[:number_of_files]
new_sky_RA = [item[0] for item in new_sky_coords]
new_sky_DEC = [item[1] for item in new_sky_coords]
moon_RA = [item[0] for item in moon_coords2]
moon_DEC = [item[1] for item in moon_coords2]
new_sky_RA=np.array(new_sky_RA)*(np.pi/180)
new_sky_DEC=np.array(new_sky_DEC)*(np.pi/180)
moon_RA=np.array(moon_RA)*(np.pi/180)
moon_DEC=np.array(moon_DEC)*(np.pi/180)
#MOON-SKY ANGLE CALCULATIONS
moon_sky_angle=[]
for i in range(len(new_sky_coords)):
moon_sky_angle.append(np.arccos((np.sin(new_sky_RA[i])*np.sin(moon_RA[i]))+np.cos(new_sky_RA[i])*np.cos(moon_RA[i])*(np.cos(new_sky_DEC[i]-moon_DEC[i])))*(180/np.pi))
#list(moon_sky_angle)
return (np.array(moon_sky_angle))
def test_regression_5889_5890():
# ensure we can represent all Representations and transform to ND frames
greenwich = EarthLocation(
*u.Quantity([3980608.90246817, -102.47522911, 4966861.27310067],
unit=u.m))
times = Time("2017-03-20T12:00:00") + np.linspace(-2, 2, 3)*u.hour
moon = get_moon(times, location=greenwich)
targets = SkyCoord([350.7*u.deg, 260.7*u.deg], [18.4*u.deg, 22.4*u.deg])
targs2d = targets[:, np.newaxis]
targs2d.transform_to(moon)
def test_regression_4926():
times = Time('2010-01-1') + np.arange(20)*u.day
green = get_builtin_sites()['greenwich']
# this is the regression test
moon = get_moon(times, green)
# this is an additional test to make sure the GCRS->ICRS transform works for complex shapes
moon.transform_to(ICRS())
# and some others to increase coverage of transforms
moon.transform_to(HCRS(obstime="J2000"))
moon.transform_to(HCRS(obstime=times))
def test_moon_veto(observer):
mac = MoonAvoidance()
time = Time('2016-08-13 10:00:00')
moon = get_moon(time, observer.location)
observation1 = Observation(Field('Sabik', '17h10m23s -15d43m30s')) # Sabik
veto1, score1 = mac.get_score(time, observer, observation1, moon=moon)
assert veto1 is True
def __init__(self, date=None, site='sutherland', targets=None, tz=2*u.h, **options): #res
self.sitename = site.title()
self.siteloc = EarthLocation.of_site(self.sitename)
#TODO from time import timezone
self.tz = tz #can you get this from the site location??
#obs = Observer(self.siteloc)
self.targets = {}
self.trajectories = {}
self.plots = OrderedDict()
if not date:
now = datetime.now() #current local time
#default behaviour of this function changes depending on the time of day.
#if calling during early morning hours (at telescope) - let midnight refer to previous midnight
#if calling during afternoon hours - let midnight refer to coming midnight
d = now.day# + (now.hour > 7) #FIXME =32??
date = datetime(now.year, now.month, d, 0, 0, 0)
else:
raise NotImplementedError
self.date = date
self.midnight = midnight = Time(date) - tz #midnight UTC in local time
#TODO: efficiency here. Dont need to plot everything over
self.hours = h = np.linspace(-12, 12, 250) * u.h #variable time
self.t = t = midnight + h
self.tp = t.plot_date
self.frames = AltAz(obstime=t, location=self.siteloc)
#self.tmoon
#collect name, coordinates in dict
if not targets is None:
self.add_coordinates(targets)
#Get sun, moon coordinates
sun = get_sun(t)
self.sun = sun.transform_to(self.frames) #WARNING: slow!!!!
#TODO: other bright stars / planets
#get dawn / dusk times
self.dusk, self.dawn = self.get_daylight()
self.sunset, self.sunrise = self.dusk['sunset'], self.dawn['sunrise']
#get moon rise/set times, phase, illumination etc...
self.moon = get_moon(t).transform_to(self.frames)
self.mooning = self.get_moonlight()
self.moon_phase, self.moon_ill = self.get_moon_phase()
self.setup_figure()
#HACK
self.cid = self.figure.canvas.mpl_connect('draw_event', self._on_first_draw)
def test_moon_avoidance(observer):
mac = MoonAvoidance()
time = Time('2016-08-13 10:00:00')
moon = get_moon(time, observer.location)
observation1 = Observation(Field('HD189733', '20h00m43.7135s +22d42m39.0645s')) # HD189733
observation2 = Observation(Field('Hat-P-16', '00h38m17.59s +42d27m47.2s')) # Hat-P-16
veto1, score1 = mac.get_score(time, observer, observation1, moon=moon)
veto2, score2 = mac.get_score(time, observer, observation2, moon=moon)
assert veto1 is False and veto2 is False
assert score2 > score1
def get_moon_phase(self):
'''calculate moon phase and illumination at local midnight'''
midnight = self.midnight
altaz = AltAz(location=self.siteloc, obstime=midnight)
moon = get_moon(midnight)
moon = moon.transform_to(altaz)
sun = get_sun(midnight)
sun = sun.transform_to(altaz)
#
elongation = sun.separation(moon)
#phase angle at midnight
phase = np.arctan2(sun.distance * np.sin(elongation),
moon.distance - sun.distance * np.cos(elongation))
ill = (1 + np.cos(phase)) / 2.0
return phase.value, ill.value
def compute_constraint(self, times, observer, targets):
# removed the location argument here, which causes small <1 deg
# innacuracies, but it is needed until astropy PR #5897 is released
# which should be astropy 1.3.2
moon = get_moon(times,
ephemeris=self.ephemeris)
# note to future editors - the order matters here
# moon.separation(targets) is NOT the same as targets.separation(moon)
# the former calculates the separation in the frame of the moon coord
# which is GCRS, and that is what we want.
moon_separation = moon.separation(targets)
if self.min is None and self.max is not None:
mask = self.max >= moon_separation
elif self.max is None and self.min is not None:
mask = self.min <= moon_separation
elif self.min is not None and self.max is not None:
mask = ((self.min <= moon_separation) &
(moon_separation <= self.max))
else:
raise ValueError("No max and/or min specified in "
"MoonSeparationConstraint.")
return mask
def get_moon_j2000(epoch, line1, line2, position = None):
'''
Code to determine the apparent J2000 position for a given
time and at a given position for the observatory.
epoch needs to be a datetime or Time object.
position is a list/tuple of X/Y/Z positions
'''
from astropy.time import Time
from astropy.coordinates import get_moon, EarthLocation
import astropy.units as u
import sys
from datetime import datetime
if type(epoch) is Time:
epoch = epoch.datetime
if position is None:
position = get_nustar_location(epoch, line1, line2) # position in ECI coords
t=Time(epoch)
loc = eci2el(*position*u.km,t)
moon_coords = get_moon(t,loc)
# Get just the coordinates in degrees
ra_moon, dec_moon = moon_coords.ra.degree * u.deg, moon_coords.dec.degree*u.deg
return ra_moon, dec_moon
def _update_queue(self, current_state):
"""Calculate greedy weighting of requests in the Pool using current
telescope state only"""
# store block index for which these values were calculated
self.queue_block = block_index(current_state['current_time'])
# check that the pool has fields in it
if len(self.rp.pool) == 0:
raise QueueEmptyError("No fields in pool")
# join with fields so we have the information we need
# make a copy so rp.pool and self.queue are not linked
df = self.rp.pool.join(self.fields.fields, on='field_id').copy()
df = self._update_overhead(current_state, df=df)
# start with conservative altitude cut;
# airmass weighting applied naturally below
# also make a copy because otherwise it retains knowledge of
# (discarded) previous reference and raises SettingWithCopyWarnings
df = df.loc[df['altitude'] > 20, :].copy()
if len(df) == 0:
raise QueueEmptyError("No fields in queue above altitude cut")
# if restricting to one program per block, drop other programs
if self.block_programs:
current_block_program = PROGRAM_BLOCK_SEQUENCE[
self.queue_block % LEN_BLOCK_SEQUENCE]
df = df.loc[df['program_id'] == current_block_program, :]
# use cadence functions to compute requests with active cadence windows
# this is slow, so do it after our altitude cut
in_window = {}
for idx, row in df.iterrows():
# this is way, way slower
# df['in_cadence_window'].ix[idx] = \
in_window[idx] = eval(
'{}(row, current_state)'.format(row['cadence_func']))
cadence_cuts = pd.Series(in_window)
# TODO: handle if cadence cuts returns no fields
if np.sum(cadence_cuts) == 0:
raise QueueEmptyError("No fields with observable cadence windows")
# also make a copy because otherwise it retains knowledge of
# (discarded) previous reference and raises SettingWithCopyWarnings
df = df.loc[cadence_cuts, :].copy()
# compute airmasses by field_id
# airmass = zenith_angle_to_airmass(90. - df_alt)
# airmass.name = 'airmass'
# df = pd.merge(df, pd.DataFrame(airmass),
# left_on='field_id', right_index=True)
# airmass cut (or add airmass weighting to value below)
# df = df[(df['airmass'] <= MAX_AIRMASS) & (df['airmass'] > 0)]
# compute inputs for sky brightness
sc = coord.SkyCoord(df['ra'], df['dec'], frame='icrs', unit='deg')
sun = coord.get_sun(current_state['current_time'])
sun_altaz = skycoord_to_altaz(sun, current_state['current_time'])
moon = coord.get_moon(current_state['current_time'],
location=P48_loc)
moon_altaz = skycoord_to_altaz(moon, current_state['current_time'])
df.loc[:, 'moonillf'] = astroplan.moon.moon_illumination(
# Don't use P48_loc to avoid astropy bug:
# https://github.com/astropy/astroplan/pull/213
current_state['current_time'])
# current_state['current_time'], P48_loc)
df.loc[:, 'moon_dist'] = sc.separation(moon).to(u.deg).value
df.loc[:, 'moonalt'] = moon_altaz.alt.to(u.deg).value
df.loc[:, 'sunalt'] = sun_altaz.alt.to(u.deg).value
# compute sky brightness
df.loc[:, 'sky_brightness'] = self.Sky.predict(df)
#df = pd.merge(df, df_sky, left_on='field_id', right_index=True)
# compute seeing at each pointing
df.loc[:, 'seeing'] = seeing_at_pointing(current_state['current_zenith_seeing'],
df['altitude'])
#df_seeing.name = 'seeing'
#df = pd.merge(df, df_seeing, left_on='field_id', right_index=True)
df.loc[:, 'limiting_mag'] = limiting_mag(EXPOSURE_TIME, df['seeing'],
df['sky_brightness'],
filter_id=df['filter_id'],
altitude=df['altitude'], SNR=5.)
#df_limmag.name = 'limiting_mag'
#df = pd.merge(df, df_limmag, left_on='field_id', right_index=True)
df.loc[:, 'value'] = self._metric(df)
self.queue = df
def log_pointing(self, state, request):
record = {}
# don't use request_id here, but
# let sqlite create a unique non-null key
# record['obsHistID'] = request['request_id']
record["sessionID"] = 0
record["propID"] = request["target_program_id"]
record["fieldID"] = request["target_field_id"]
record["fieldRA"] = np.radians(request["target_ra"])
record["fieldDec"] = np.radians(request["target_dec"])
record["filter"] = '"' + FILTER_ID_TO_NAME[request["target_filter_id"]] + '"'
# times are recorded at start of exposure
exposure_start = state["current_time"] - request["target_exposure_time"]
# see note in utils.py
exposure_start.delta_ut1_utc = 0.0
record["expDate"] = (exposure_start - self.survey_start_time).sec
record["expMJD"] = exposure_start.mjd
record["night"] = np.floor((exposure_start - self.survey_start_time).jd).astype(np.int)
record["visitTime"] = request["target_exposure_time"].to(u.second).value
record["visitExpTime"] = request["target_exposure_time"].to(u.second).value
# compute some values we will need
sc = coord.SkyCoord(record["fieldRA"] * u.radian, record["fieldDec"] * u.radian)
altaz = skycoord_to_altaz(sc, exposure_start)
pointing_seeing = seeing_at_pointing(state["current_zenith_seeing"].to(u.arcsec).value, altaz.alt.value)
record["FWHMgeom"] = pointing_seeing
record["FWHMeff"] = pointing_seeing
# transparency
# finRank
record["airmass"] = altaz.secz.value
# vSkyBright
record["filtSkyBright"] = request["target_sky_brightness"]
record["rotSkyPos"] = 0.0 # TODO: confirm
record["rotTelPos"] = 0.0
# despite the docs, it seems lst is stored as radians
record["lst"] = np.radians(exposure_start.sidereal_time("apparent").to(u.hourangle).value / 24.0 * 360.0)
record["altitude"] = altaz.alt.to(u.radian).value
record["azimuth"] = altaz.az.to(u.radian).value
sun = coord.get_sun(exposure_start)
sun_altaz = skycoord_to_altaz(sun, exposure_start)
moon = coord.get_moon(exposure_start, P48_loc)
moon_altaz = skycoord_to_altaz(moon, exposure_start)
record["dist2Moon"] = sc.separation(moon).to(u.radian).value
record["solarElong"] = sc.separation(sun).to(u.deg).value
record["moonRA"] = moon.ra.to(u.radian).value
record["moonDec"] = moon.dec.to(u.radian).value
record["moonAlt"] = moon_altaz.alt.to(u.radian).value
record["moonAZ"] = moon_altaz.az.to(u.radian).value
# store tonight's mjd so that we can avoid recomputing moon
# illumination, which profiling shows is weirdly expensive
if np.floor(exposure_start.mjd) != self.mjd_tonight:
self.moon_illumination_tonight = (
astroplan.moon.moon_illumination(
# Don't use P48_loc to avoid astropy bug:
# https://github.com/astropy/astroplan/pull/213
# exposure_start, P48_loc) * 100.
exposure_start
)
* 100.0
)
self.mjd_tonight = np.floor(exposure_start.mjd)
record["moonPhase"] = self.moon_illumination_tonight
record["sunAlt"] = sun_altaz.alt.to(u.radian).value
record["sunAz"] = sun_altaz.az.to(u.radian).value
# phaseAngle, rScatter, mieScatter, moonBright, darkBright
# rawSeeing
# wind
# humidity
if self.prev_obs is not None:
sc_prev = coord.SkyCoord(self.prev_obs["fieldRA"] * u.radian, self.prev_obs["fieldDec"] * u.radian)
record["slewDist"] = sc.separation(sc_prev).to(u.radian).value
record["slewTime"] = record["expDate"] - (self.prev_obs["expDate"] + self.prev_obs["visitTime"])
record["fiveSigmaDepth"] = request["target_limiting_mag"]
record["ditheredRA"] = 0.0
record["ditheredDec"] = 0.0
# ztf_sim specific keywords!
record["requestNumberTonight"] = request["target_request_number_tonight"]
record["totalRequestsTonight"] = request["target_total_requests_tonight"]
record["metricValue"] = request["target_metric_value"]
# use placeholders to create the INSERT query
columns = ", ".join(record.keys())
placeholders = "{" + "}, {".join(record.keys()) + "}"
query = "INSERT INTO Summary ({}) VALUES ({})".format(columns, placeholders)
query_filled = query.format(**record)
self.conn.execute(query_filled)
# save record for next obs
self.prev_obs = record
pass
# evenly spaced times between noon on July 12 and noon on July 13:
from astropy.coordinates import get_sun
delta_midnight = np.linspace(-12, 12, 1000)*u.hour
times_July12_to_13 = midnight + delta_midnight
frame_July12_to_13 = AltAz(obstime=times_July12_to_13, location=bear_mountain)
sunaltazs_July12_to_13 = get_sun(times_July12_to_13).transform_to(frame_July12_to_13)
##############################################################################
# Do the same with `~astropy.coordinates.get_moon` to find when the moon is
# up. Be aware that this will need to download a 10MB file from the internet
# to get a precise location of the moon.
from astropy.coordinates import get_moon
moon_July12_to_13 = get_moon(times_July12_to_13)
moonaltazs_July12_to_13 = moon_July12_to_13.transform_to(frame_July12_to_13)
##############################################################################
# Find the alt,az coordinates of M33 at those same times:
m33altazs_July12_to_13 = m33.transform_to(frame_July12_to_13)
##############################################################################
# Make a beautiful figure illustrating nighttime and the altitudes of M33 and
# the Sun over that time:
plt.plot(delta_midnight, sunaltazs_July12_to_13.alt, color='r', label='Sun')
plt.plot(delta_midnight, moonaltazs_July12_to_13.alt, color=[0.75]*3, ls='--', label='Moon')
plt.scatter(delta_midnight, m33altazs_July12_to_13.alt,
c=m33altazs_July12_to_13.az, label='M33', lw=0, s=8,
def simulate_a_telescope(name, altitude, longitude, latitude, filter, time_start, time_end, sampling, event, location,
bad_weather_percentage=0.0, minimum_alt=20, moon_windows_avoidance=20,
maximum_moon_illumination=100.0):
""" Simulate a telescope. More details in the telescopes module. The observations simulation are made for the
full time windows, then limitation are applied :
- Sun has to be below horizon : Sun< -18
- Moon has to be more than the moon_windows_avoidance distance from the target
- Observations altitude of the target have to be bigger than minimum_alt
:param str name: the name of the telescope.
:param float altitude: the altitude in meters if the telescope
:param float longitude: the longitude in degree of the telescope location
:param float latitude: the latitude in degree of the telescope location
:param str filter: the filter used for observations
:param float time_start: the start of observations in JD
:param float time_end: the end of observations in JD
:param float sampling: the hour sampling.
:param object event: the microlensing event you look at
:param str location: the location of the telescope. If it is 'Space', then the observations are made
continuously given the observing windows and the sampling.
:param float bad_weather_percentage: the percentage of bad nights
:param float minimum_alt: the minimum altitude ini degrees that your telescope can go to.
:param float moon_windows_avoidance: the minimum distance in degrees accepted between the target and the Moon
:param float maximum_moon_illumination: the maximum Moon brightness you allow in percentage
:return: a telescope object
:rtype: object
"""
# fake lightcurve
if location != 'Space':
earth_location = EarthLocation(lon=longitude * astropy.units.deg,
lat=latitude * astropy.units.deg,
height=altitude * astropy.units.m)
target = SkyCoord(event.ra, event.dec, unit='deg')
minimum_sampling = min(4.0, sampling)
ratio_sampling = np.round(sampling / minimum_sampling)
time_of_observations = time_simulation(time_start, time_end, minimum_sampling,
bad_weather_percentage)
time_convertion = Time(time_of_observations, format='jd').isot
telescope_altaz = target.transform_to(AltAz(obstime=time_convertion, location=earth_location))
altazframe = AltAz(obstime=time_convertion, location=earth_location)
Sun = get_sun(Time(time_of_observations, format='jd')).transform_to(altazframe)
Moon = get_moon(Time(time_of_observations, format='jd')).transform_to(altazframe)
Moon_illumination = moon_illumination(Sun, Moon)
Moon_separation = target.separation(Moon)
observing_windows = np.where((telescope_altaz.alt > minimum_alt * astropy.units.deg)
& (Sun.alt < -18 * astropy.units.deg)
& (Moon_separation > moon_windows_avoidance * astropy.units.deg)
& (Moon_illumination<maximum_moon_illumination)
)[0]
time_of_observations = time_of_observations[observing_windows][::ratio_sampling]
else:
time_of_observations = np.arange(time_start, time_end, sampling / (24.0))
lightcurveflux = np.ones((len(time_of_observations), 3)) * 42
lightcurveflux[:, 0] = time_of_observations
telescope = telescopes.Telescope(name=name, camera_filter=filter, light_curve_flux=lightcurveflux)
return telescope
def test_regression_5209():
"check that distances are not lost on SkyCoord init"
time = Time('2015-01-01')
moon = get_moon(time)
new_coord = SkyCoord([moon])
assert_quantity_allclose(new_coord[0].distance, moon.distance)
def get_observation(self, time=None, show_all=False, reread_fields_file=False):
"""Get a valid observation
Args:
time (astropy.time.Time, optional): Time at which scheduler applies,
defaults to time called
show_all (bool, optional): Return all valid observations along with
merit value, defaults to False to only get top value
reread_fields_file (bool, optional): If targets file should be reread
before getting observation, default False.
Returns:
tuple or list: A tuple (or list of tuples) with name and score of ranked observations
"""
if reread_fields_file:
self.logger.debug("Rereading fields file")
# The setter method on `fields_file` will force a reread
self.fields_file = self.fields_file
if time is None:
time = current_time()
valid_obs = {obs: 1.0 for obs in self.observations}
best_obs = []
common_properties = {
'end_of_night': self.observer.tonight(time=time, horizon=-18 * u.degree)[-1],
'moon': get_moon(time, self.observer.location)
}
for constraint in listify(self.constraints):
self.logger.debug("Checking Constraint: {}".format(constraint))
for obs_name, observation in self.observations.items():
if obs_name in valid_obs:
self.logger.debug("\tObservation: {}".format(obs_name))
veto, score = constraint.get_score(
time, self.observer, observation, **common_properties)
self.logger.debug("\t\tScore: {}\tVeto: {}".format(score, veto))
if veto:
self.logger.debug("\t\t{} vetoed by {}".format(obs_name, constraint))
del valid_obs[obs_name]
continue
valid_obs[obs_name] += score
for obs_name, score in valid_obs.items():
valid_obs[obs_name] += self.observations[obs_name].priority
if len(valid_obs) > 0:
# Sort the list by highest score (reverse puts in correct order)
best_obs = sorted(valid_obs.items(), key=lambda x: x[1])[::-1]
top_obs = best_obs[0]
# Check new best against current_observation
if self.current_observation is not None \
and top_obs[0] != self.current_observation.name:
# Favor the current observation if still available
end_of_next_set = time + self.current_observation.set_duration
if self.observation_available(self.current_observation, end_of_next_set):
# If current is better or equal to top, use it
if self.current_observation.merit >= top_obs[1]:
best_obs.insert(0, self.current_observation)
# Set the current
self.current_observation = self.observations[top_obs[0]]
self.current_observation.merit = top_obs[1]
else:
if self.current_observation is not None:
# Favor the current observation if still available
end_of_next_set = time + self.current_observation.set_duration
if end_of_next_set < common_properties['end_of_night'] and \
self.observation_available(self.current_observation, end_of_next_set):
self.logger.debug("Reusing {}".format(self.current_observation))
best_obs = [(self.current_observation.name, self.current_observation.merit)]
else:
self.logger.warning("No valid observations found")
self.current_observation = None
if not show_all and len(best_obs) > 0:
best_obs = best_obs[0]
return best_obs