class EarthSatellitePlus(ephem.EarthSatellite):
"""
Sub-class of the ephem.EarthSatellite class that adds in additional
information about the magnitude of the satellite.
.. note:: The 'bearing' attribute is only computed relative to the
the previous call to compute(). This field is only useful during
tracking operations.
"""
# Rising/setting
rising = False
# Bearing information
bearing = 0.0
_lastRA = None
_lastDec = None
_lastAlt = None
# Magnitude information
stdMag = 99.0
_sol = ephem.Sun()
magnitude = 99.0
# Signal loss information
_nextSet = None
los = 0.0
def compute(self, observer):
"""
Wrapper around ephem.EarthSatellite.compute() function that
adds in visibility, magntiude, and satellite bearing
computations.
"""
## Save the
try:
self._lastRA, self._lastDec, self._lastAlt = self.ra, self.dec, self.alt
except (RuntimeError, AttributeError):
self._lastRA, self._lastDec, self._lastAlt = None, None, None
## Locate the satellite
ephem.EarthSatellite.compute(self, observer)
## Compute the location of the Sun so that we can estimate the
## brightness of the satellite.
self._sol.compute(observer)
B = math.pi - ephem.separation(self._sol, self)
self.magnitude = self.stdMag - 15.0 + 5.0*math.log10(self.range/1e3)
self.magnitude -= 2.5*math.log10( math.sin(B) + (math.pi-B)*math.cos(B) )
if self.magnitude >= 15.0 or self.eclipsed:
self.magnitude = 15.0
## Calculate the bearing if this is not the first time
## that we have tried
try:
self.bearing = getBearingFromPoint(self._lastRA, self._lastDec, self.ra, self.dec)[0]
self.rising = True if self.alt > self._lastAlt else False
except (ValueError, TypeError):
self.bearing = 0.0
## Calculate how long before we expect to lose the satellite
if self.alt > 0:
if self._nextSet is None:
try:
event = observer.next_pass(self)
self._nextSet = event[4]
if self._nextSet is None:
self._nextSet = observer.date - 1.0
except ValueError:
self._nextSet = observer.date + 1.0
self.los = (self._nextSet-observer.date)*86400.0
else:
self._nextSet = None
self.los = 0.0
def setStdMag(self, stdMag):
"""
Set the "standard magnitude" for this satellite to use for
brightness calculations.
"""
self.stdMag = stdMag
def fillFromPyEphem(self, sat):
"""
Initialize this instance using an existing
ephem.EarthSatellite instance.
"""
for attr in ('name', 'catalog_number', '_epoch', '_n', '_orbit', '_drag', '_decay', '_e'):
setattr(self, attr, getattr(sat, attr, None))
for attr in ('_inc', '_raan', '_ap', '_M'):
setattr(self, attr, getattr(sat, attr, None)*_rad2deg)
def calcAlmucantarPrinciplePlanes(latitude,
longitude,
capture_time,
almucantar_angles=None,
principleplane_angles=None,
img_resolution=301,
alm_resolution=72,
pp_resolution=38):
"""Calculate the Almucantar and PrinciplePlanes for a specific
localization, datetime.
Args:
almucantar_angles (array like): Sampling angles (degrees) along
Almucantar.
principleplane_angles (array like): Sampling angles (degrees) along
PrinciplePlane.
Note:
In practice the Almucantar and PrinciplePlane are measured in
different times. So this function should be called twice for each
with its own capture time.
"""
#
# Create an Sun/observer at camera position
#
observer = ephem.Observer()
observer.lat, observer.long, observer.date = \
str(latitude), str(longitude), capture_time
sun = ephem.Sun(observer)
#
# Calculate Almucantar angles.
# Almucantar samples at the altitude of the sun at differnt Azimuths.
#
start_az = sun.az
if almucantar_angles is None:
#
# Sample uniformly along Almucantar angles.
#
almucantar_angles = np.linspace(0, 360, alm_resolution, endpoint=False)
alm_az = np.linspace(start_az,
start_az + 2 * np.pi,
alm_resolution,
endpoint=False)
else:
alm_az = np.radians(almucantar_angles) + start_az
alm_alts = sun.alt * np.ones(len(alm_az))
#
# Convert Almucantar angles to image coords.
#
alm_radius = (np.pi / 2 - alm_alts) / (np.pi / 2)
alm_x = (alm_radius * np.sin(alm_az) + 1) * img_resolution / 2
alm_y = (alm_radius * np.cos(alm_az) + 1) * img_resolution / 2
Almucantar_coords = np.array((alm_x, alm_y))
#
# Calculate PrinciplePlane coords.
#
start_alt = sun.alt
if principleplane_angles is None:
#
# Sample uniformly along Almucantar angles.
#
principleplane_angles = np.linspace(0,
360,
pp_resolution,
endpoint=False)
pp_alts = np.linspace(0, np.pi, pp_resolution, endpoint=False)
else:
pp_alts = np.radians(principleplane_angles) + start_alt
pp_az = sun.az * np.ones(len(pp_alts))
#
# Convert Principal Plane angles to image coords.
#
pp_radius = (np.pi / 2 - pp_alts) / (np.pi / 2)
pp_x = (pp_radius * np.sin(pp_az) + 1) * img_resolution / 2
pp_y = (pp_radius * np.cos(pp_az) + 1) * img_resolution / 2
PrincipalPlane_coords = np.array((pp_x, pp_y))
return Almucantar_coords, PrincipalPlane_coords, \
almucantar_angles, principleplane_angles
def __init__(self):
ChimeraObject.__init__(self)
self._sun = ephem.Sun()
self._moon = ephem.Moon()
# ------------------------------------------------------------------------------------------------------------------- #
telescope = ephem.Observer()
telescope.pressure = 0
telescope.lon = OBS_LONG
telescope.lat = OBS_LAT
telescope.elevation = OBS_ALT
telescope.epoch = ephem.J2000
telescope.date = (Time(date_obs) + 1 * u.day -
abs(OBS_TIMEZONE) * u.hour).utc.datetime
# ------------------------------------------------------------------------------------------------------------------- #
# ------------------------------------------------------------------------------------------------------------------- #
# Calculation Of Times Of Local Sunset & Sunrise
# ------------------------------------------------------------------------------------------------------------------- #
telescope.horizon = '-0:34'
time_sunset = telescope.previous_setting(ephem.Sun(), use_center=True)
time_sunrise = telescope.next_rising(ephem.Sun(), use_center=True)
datetime_sunset = Time(
datetime.strptime(str(time_sunset).split('.')[0], '%Y/%m/%d %H:%M:%S'))
datetime_sunrise = Time(
datetime.strptime(str(time_sunrise).split('.')[0], '%Y/%m/%d %H:%M:%S'))
# ------------------------------------------------------------------------------------------------------------------- #
# ------------------------------------------------------------------------------------------------------------------- #
# Calculation Of Times Of Nautical Twilight [Elevation Of Sun = -12 Degrees]
# ------------------------------------------------------------------------------------------------------------------- #
telescope.horizon = '-12'
time_twildusk = telescope.previous_setting(ephem.Sun(), use_center=True)
time_twildawn = telescope.next_rising(ephem.Sun(), use_center=True)
# moon.phase is % of moon that is illuminated
moon_pct = moon.moon_phase
# calculate distance from target
moon_sep = ephem.separation(moon, body)
moon_sep = math.degrees(float(moon_sep))
return (moon_alt, moon_pct, moon_sep)
def calc_separation_alt_az(self, body):
"""Compute deltas for azimuth and altitude from another target"""
self.body.compute(self.site)
body.body.compute(self.site)
delta_az = float(self.body.az) - float(target.az)
delta_alt = float(self.body.alt) - float(target.alt)
return (delta_alt, delta_az)
Moon = SSBody('Moon', ephem.Moon())
Sun = SSBody('Sun', ephem.Sun())
Mercury = SSBody('Mercury', ephem.Mercury())
Venus = SSBody('Venus', ephem.Venus())
Mars = SSBody('Mars', ephem.Mars())
Jupiter = SSBody('Jupiter', ephem.Jupiter())
Saturn = SSBody('Saturn', ephem.Saturn())
Uranus = SSBody('Uranus', ephem.Uranus())
Neptune = SSBody('Neptune', ephem.Neptune())
Pluto = SSBody('Pluto', ephem.Pluto())
#END
def previous_sunset(self, date=None):
obs = self.copy()
if date: obs.date = ephem.Date(date)
obs.horizon = self.twilight
return obs.next_setting(ephem.Sun(), use_center=True)
def time(self, cluster, date=None, verbose=False):
izana = ephem.Observer()
if date is None:
date = ephem.Date('2015/8/2 00:00:00')
izana.date = date # '2015/03/19 00:00:00'
izana.lat = '28.301195'
izana.lon = '-16.509209'
izana.horizon = '-0:34'
# izana.elevation = 2096
sun = ephem.Sun(izana) # @UndefinedVariable
c = SkyCoord(cluster['ra'], cluster['dec'], frame='icrs', unit=(u.deg, u.deg)) # @UndefinedVariable
rastr = c.ra.to_string(unit=u.hour, sep='::') # @UndefinedVariable
decstr = c.dec.to_string(unit=u.deg, sep='::') # @UndefinedVariable
ephemstr = '%s,f|O,%s,%s, 5.,2000' % (cluster['name'], rastr, decstr)
clusterephem = ephem.readdb(ephemstr)
eventlist = []
# set airmass 2.0
izana.horizon = '30:00'
clusterephem.compute(izana)
cnrise = izana.next_rising(clusterephem)
cnset = izana.next_setting(clusterephem)
cprise = izana.previous_rising(clusterephem)
cpset = izana.previous_setting(clusterephem)
eventlist.append([self._eph2dt(cnrise), 'cluster rise (next)'])
eventlist.append([self._eph2dt(cnset), 'cluster set (next)'])
eventlist.append([self._eph2dt(cprise), 'cluster rise (prev)'])
eventlist.append([self._eph2dt(cpset), 'cluster set (prev)'])
# set astronomical dawn
izana.horizon = '-19:00'
spset = izana.previous_setting(sun)
snrise = izana.next_rising(sun)
eventlist.append([self._eph2dt(snrise), 'sunrise'])
eventlist.append([self._eph2dt(spset), 'sunset'])
eventlist.sort()
sundown = False
clusterup = False
t0, t1 = None, None
for t, e in eventlist:
if verbose: print(t, e)
if e == 'sunset':
sundown = True
if clusterup:
t0 = t
if e == 'sunrise':
sundown = False
if clusterup:
t1 = t
if e == 'cluster rise (next)' or \
e == 'cluster rise (prev)':
clusterup = True
if sundown: t0 = t
if e == 'cluster set (next)' or \
e == 'cluster set (prev)':
clusterup = False
if sundown: t1 = t
if verbose: print(t0, t1)
if t0 is None and t1 is None:
return 0.0
return (ephem.Date(t1) - ephem.Date(t0)) * 24.0
def dusk_dawn_utc(datetime_utc,
latitude_column=None,
longitude_column=None,
temperature_column=None,
elevation_column=None,
air_pressure_column=None,
latitude_const='49.088964',
longitude_const='20.070236',
temperature_const=0,
elevation_const=952,
air_pressure_const=1010,
twilight_const='-6',
horizon_const='-0:34',
duration=False):
'''
dusk_dawn_utc will give you the categories (strings) "night", "dusk", "day", "dawn" based on the variables
and optionally with the duration is a second variable.
The input time must be in UTC
Args:
datetime_utc, the column name containing the UTC time of the observation
If the *_column variables are not provided than it is assumed that these values are provides as constant
for all observations
latitude_column: the column name containing the latitude of the observation
longitude_column: the column name containing the longitude of the observation
temperature_column: the temperature in degrees celcius at the moment of the observation at the
location of the observation
elevation_column: the column name containing the number of meters above sealevel of the location of
the observation
air_pressure_column: the column name containing the air preassure at the moment of the observation on the
location
In case the variables are not present at the observation these values are provides as constant for
all observations
latitude_cons the latitude of the observation
longitude_const the longitude of the observation
temperature_const: the temperature in degrees celcius at the moment of the observation
elevation_const the number of meters above sealevel of the observation
air_pressure_const: the air preassure at the moment of the observation
constants for observation and twilight calculation
twilight_const='-6': the twilight start -6 is civil, -12 is nautic and -18 is astronomical
the value should be entered as a string ('-6', '-12'' '-18')
horizon_const='-0:34') the horizon attribute defines your horizon, the altitude of the upper limb of a body
at the moment you consider it to be rising and setting. The United States Naval Observatory,
rather than computing refraction dynamically, uses a constant estimate of 34’ of refraction
at the horizon.
duration: gives the timedelta between the events and gives how long the night, dusk, day and
dawn took. If "True" the function returns a second variable with the duration of the
observed dusk, day, dawn, night.
Returns:
a string with one of the labels "night", "dusk", "day", "dawn"
or when duration=True
returns a the label mentioned above and the duration
Raises:
KeyError: Raises an exception.
See https://rhodesmill.org/pyephem/quick.html'''
my_observer = ephem.Observer()
my_observer.date = datetime_utc
if latitude_column == None:
my_observer.lat = str(latitude_const)
else:
my_observer.lat = str(latitude_column)
if longitude_column == None:
my_observer.lon = str(longitude_const)
else:
my_observer.lon = str(longitude_column)
# %% these parameters are for super-precise estimates, not necessary.
if elevation_column == None:
my_observer.elevation = elevation_const
else:
my_observer.elevation = elevation_column
if air_pressure_column == None:
my_observer.pressure = air_pressure_const # millibar. The difference between the lowest ever observed (923.6) and the highest ever observed (1072) in Europe is 36 seconds later
else:
my_observer.pressure = air_pressure_column
if temperature_column == None:
my_observer.temp = temperature_const # deg. Celcius. The difference between 0 deg. Celcius and 50 deg. Celcius = 37 seconds later
else:
my_observer.temp = temperature_column
my_observer.horizon = str(horizon_const)
sun = ephem.Sun()
next_sunrise_utc = my_observer.next_rising(sun)
next_sunset_utc = my_observer.next_setting(sun)
if duration:
previous_sunrise_utc = my_observer.previous_rising(sun)
previous_sunset_utc = my_observer.previous_setting(sun)
else:
pass
#Relocate the horizon to get twilight times
#-6=civil twilight, -12=nautical, -18=astronomical
my_observer.horizon = str(twilight_const)
next_twilight_rise_utc = my_observer.next_rising(
ephem.Sun(), use_center=True) #Begin dusk
next_twilight_set_utc = my_observer.next_setting(
ephem.Sun(), use_center=True) #Begin dawn
if duration:
previous_twilight_rise_utc = my_observer.previous_rising(sun)
previous_twilight_set_utc = my_observer.previous_setting(sun)
else:
pass
result_dict = {
"next_twilight_rise_utc": next_twilight_rise_utc,
"next_sunrise_utc": next_sunrise_utc,
"next_sunset_utc": next_sunset_utc,
"next_twilight_set_utc": next_twilight_set_utc
}
result_lowest = min(result_dict, key=result_dict.get)
if result_lowest == "next_twilight_rise_utc":
result = "night"
elif result_lowest == "next_sunrise_utc":
result = "dawn"
elif result_lowest == "next_sunset_utc":
result = "day"
elif result_lowest == "next_twilight_set_utc":
result = "dusk"
if duration:
if result == "night":
duration = str(
timedelta(next_twilight_rise_utc - previous_twilight_set_utc))
elif result == "dusk":
duration = str(
timedelta(next_sunrise_utc - previous_twilight_rise_utc))
elif result == "day":
duration = str(timedelta(next_sunset_utc - previous_sunrise_utc))
elif result == "dawn":
duration = str(
timedelta(next_twilight_set_utc - previous_sunset_utc))
else:
result = 'Error defining the string dusk, day, dawn, night'
else:
pass
if duration:
return (result, duration)
else:
return (result)
def StarObsPlot(year=None,
targets=None,
observatory=None,
period=None,
hover=False,
sunless_hours=None,
remove_watermark=False):
"""
Plot the visibility of target.
Parameters
----------
year: int
The year for which to calculate the visibility.
targets: list
List of targets.
Each target should be a dictionary with keys 'name' and 'coord'.
The key 'name' is a string, 'coord' is a SkyCoord object.
observatory: string
Name of the observatory that pyasl.observatory can resolve.
Basically, any of pyasl.listObservatories().keys()
period: string, optional
ESO period for which to calculate the visibility. Overrides `year`.
hover: boolean, optional
If True, color visibility lines when mouse over.
sunless_hours: float, optional
If not None, plot sunless hours above this airmass
"""
from mpl_toolkits.axes_grid1 import host_subplot
from matplotlib.ticker import MultipleLocator
from matplotlib.font_manager import FontProperties
from matplotlib import rcParams
rcParams['xtick.major.pad'] = 12
font0 = FontProperties()
font1 = font0.copy()
font0.set_family('sans-serif')
font0.set_weight('light')
font1.set_family('sans-serif')
font1.set_weight('medium')
# set the observatory
if isinstance(observatory, dict):
obs = observatory
else:
obs = pyasl.observatory(observatory)
fig = plt.figure(figsize=(15, 10))
fig.subplots_adjust(left=0.07, right=0.8, bottom=0.15, top=0.88)
# watermak
if not remove_watermark:
fig.text(0.99,
0.99,
'Created with\ngithub.com/iastro-pt/ObservationTools',
fontsize=10,
color='gray',
ha='right',
va='top',
alpha=0.5)
# plotting sunless hours?
shmode = False
if sunless_hours is not None:
shmode = True
# limit in airmass (assumed plane-parallel atm)
shairmass = sunless_hours
# correspoing limit in altitude
from scipy.optimize import bisect
shalt = 90 - bisect(lambda alt: pyasl.airmassPP(alt) - shairmass, 0,
89)
if shmode:
fig.subplots_adjust(hspace=0.35)
ax = host_subplot(211)
axsh = host_subplot(212)
plt.text(0.5,
0.47,
"- sunless hours above airmass {:.1f} - \n".format(shairmass),
transform=fig.transFigure,
ha='center',
va='bottom',
fontsize=12)
plt.text(0.5, 0.465,
"the thick line above the curves represents the total sunless hours "\
"for each day of the year",
transform=fig.transFigure, ha='center', va='bottom', fontsize=10)
else:
ax = host_subplot(111)
for n, target in enumerate(targets):
target_coord = target['coord']
target_ra = target_coord.ra.deg
target_dec = target_coord.dec.deg
if period is not None:
jd_start, jd_end = get_ESO_period(period)
else:
jd_start = pyasl.jdcnv(dt.datetime(year, 1, 1))
jd_end = pyasl.jdcnv(dt.datetime(year, 12, 31))
jdbinsize = 1 # every day
each_day = np.arange(jd_start, jd_end, jdbinsize)
jds = []
## calculate the mid-dark times
sun = ephem.Sun()
for day in each_day:
date_formatted = '/'.join([str(i) for i in pyasl.daycnv(day)[:-1]])
s = ephem.Observer()
s.date = date_formatted
s.lat = ':'.join([str(i) for i in decdeg2dms(obs['latitude'])])
s.lon = ':'.join([str(i) for i in decdeg2dms(obs['longitude'])])
jds.append(ephem.julian_date(s.next_antitransit(sun)))
jds = np.array(jds)
# Get JD floating point
jdsub = jds - np.floor(jds[0])
# Get alt/az of object
altaz = pyasl.eq2hor(jds, np.ones_like(jds)*target_ra, np.ones_like(jds)*target_dec, \
lon=obs['longitude'], lat=obs['latitude'], alt=obs['altitude'])
ax.plot(jdsub, altaz[0], '-', color='k')
# label for each target
plabel = "[{0:2d}] {1!s}".format(n + 1, target['name'])
# number of target at the top of the curve
ind_label = np.argmax(altaz[0])
# or at the bottom if the top is too close to the corners
# if jdsub[ind_label] < 5 or jdsub[ind_label] > jdsub.max()-5:
# ind_label = np.argmin(altaz[0])
ax.text( jdsub[ind_label], altaz[0][ind_label], str(n+1), color="b", fontsize=14, \
fontproperties=font1, va="bottom", ha="center")
if n + 1 == 29:
# too many?
ax.text(1.1, 1.0-float(n+1)*0.04, "too many targets", ha="left", va="top", transform=ax.transAxes, \
fontsize=10, fontproperties=font0, color="r")
else:
ax.text(1.1, 1.0-float(n+1)*0.04, plabel, ha="left", va="top", transform=ax.transAxes, \
fontsize=12, fontproperties=font0, color="b")
if shmode:
sunless_hours = []
for day in each_day:
date_formatted = '/'.join([str(i) for i in pyasl.daycnv(day)[:-1]])
s = ephem.Observer()
s.date = date_formatted
s.lat = ':'.join([str(i) for i in decdeg2dms(obs['latitude'])])
s.lon = ':'.join([str(i) for i in decdeg2dms(obs['longitude'])])
# hours from sunrise to sunset
td = pyasl.daycnv(ephem.julian_date(s.next_setting(sun)), mode='dt') \
- pyasl.daycnv(ephem.julian_date(s.next_rising(sun)), mode='dt')
sunless_hours.append(24 - td.total_seconds() / 3600)
days = each_day - np.floor(each_day[0])
axsh.plot(days, sunless_hours, '-', color='k', lw=2)
axsh.set(
ylim=(0, 15),
yticks=range(1, 15),
ylabel='Useful hours',
yticklabels=[r'${}^{{\rm h}}$'.format(n) for n in range(1, 15)])
ax.text(1.1, 1.03, "List of targets", ha="left", va="top", transform=ax.transAxes, \
fontsize=12, fontproperties=font0, color="b")
axrange = ax.get_xlim()
if period is None:
months = range(1, 13)
ndays = [0] + [calendar.monthrange(date, m)[1] for m in months]
ax.set_xlim([0, 366])
ax.set_xticks(np.cumsum(ndays)[:-1] + (np.array(ndays) / 2.)[1:])
ax.set_xticklabels(map(calendar.month_abbr.__getitem__, months),
fontsize=10)
if shmode:
axsh.set_xlim([0, 366])
axsh.set_xticks(np.cumsum(ndays)[:-1] + (np.array(ndays) / 2.)[1:])
axsh.set_xticklabels(map(calendar.month_abbr.__getitem__, months),
fontsize=10)
else:
if int(period) % 2 == 0:
# even ESO period, Oct -> Mar
months = [10, 11, 12, 1, 2, 3]
ndays = [0] + [calendar.monthrange(date, m)[1] for m in months]
ax.set_xlim([0, 181])
ax.set_xticks(np.cumsum(ndays)[:-1] + (np.array(ndays) / 2.)[1:])
ax.set_xticklabels(map(calendar.month_abbr.__getitem__, months),
fontsize=10)
if shmode:
axsh.set_xlim([0, 181])
axsh.set_xticks(
np.cumsum(ndays)[:-1] + (np.array(ndays) / 2.)[1:])
axsh.set_xticklabels(map(calendar.month_abbr.__getitem__,
months),
fontsize=10)
else:
# odd ESO period, Apr -> Sep
months = range(4, 10)
ndays = [0] + [calendar.monthrange(date, m)[1] for m in months]
ax.set_xlim([0, 182])
ax.set_xticks(np.cumsum(ndays)[:-1] + (np.array(ndays) / 2.)[1:])
ax.set_xticklabels(map(calendar.month_abbr.__getitem__, months),
fontsize=10)
if shmode:
axsh.set_xlim([0, 182])
axsh.set_xticks(
np.cumsum(ndays)[:-1] + (np.array(ndays) / 2.)[1:])
axsh.set_xticklabels(map(calendar.month_abbr.__getitem__,
months),
fontsize=10)
if axrange[1] - axrange[0] <= 1.0:
jdhours = np.arange(0, 3, 1.0 / 24.)
utchours = (np.arange(0, 72, dtype=int) + 12) % 24
else:
jdhours = np.arange(0, 3, 1.0 / 12.)
utchours = (np.arange(0, 72, 2, dtype=int) + 12) % 24
# Make ax2 responsible for "top" axis and "right" axis
ax2 = ax.twin()
# Set upper x ticks
ax2.set_xticks(np.cumsum(ndays))
ax2.set_xlabel("Day")
# plane-parallel airmass
airmass_ang = np.arange(10, 81, 5)
geo_airmass = pyasl.airmass.airmassPP(airmass_ang)[::-1]
ax2.set_yticks(airmass_ang)
airmassformat = []
for t in range(geo_airmass.size):
airmassformat.append("{0:2.2f}".format(geo_airmass[t]))
ax2.set_yticklabels(airmassformat) #, rotation=90)
ax2.set_ylabel("Relative airmass", labelpad=32)
ax2.tick_params(axis="y", pad=6, labelsize=8)
plt.text(1.02,-0.04, "Plane-parallel", transform=ax.transAxes, ha='left', \
va='top', fontsize=10, rotation=90)
ax22 = ax.twin()
ax22.set_xticklabels([])
ax22.set_frame_on(True)
ax22.patch.set_visible(False)
ax22.yaxis.set_ticks_position('right')
ax22.yaxis.set_label_position('right')
ax22.spines['right'].set_position(('outward', 30))
ax22.spines['right'].set_color('k')
ax22.spines['right'].set_visible(True)
airmass2 = list(
map(
lambda ang: pyasl.airmass.airmassSpherical(90. - ang, obs[
'altitude']), airmass_ang))
ax22.set_yticks(airmass_ang)
airmassformat = []
for t in range(len(airmass2)):
airmassformat.append(" {0:2.2f}".format(airmass2[t]))
ax22.set_yticklabels(airmassformat, rotation=90)
ax22.tick_params(axis="y", pad=8, labelsize=8)
plt.text(1.05,-0.04, "Spherical+Alt", transform=ax.transAxes, ha='left', va='top', \
fontsize=10, rotation=90)
ax.set_ylim([0, 91])
ax.yaxis.set_major_locator(MultipleLocator(15))
ax.yaxis.set_minor_locator(MultipleLocator(5))
yticks = ax.get_yticks()
ytickformat = []
for t in range(yticks.size):
ytickformat.append(str(int(yticks[t])) + r"$^\circ$")
ax.set_yticklabels(ytickformat, fontsize=16)
ax.set_ylabel("Altitude", fontsize=18)
yticksminor = ax.get_yticks(minor=True)
ymind = np.where(yticksminor % 15. != 0.)[0]
yticksminor = yticksminor[ymind]
ax.set_yticks(yticksminor, minor=True)
m_ytickformat = []
for t in range(yticksminor.size):
m_ytickformat.append(str(int(yticksminor[t])) + r"$^\circ$")
ax.set_yticklabels(m_ytickformat, minor=True)
ax.set_ylim([0, 91])
ax.yaxis.grid(color='gray', linestyle='dashed')
ax.yaxis.grid(color='gray', which="minor", linestyle='dotted')
ax2.xaxis.grid(color='gray', linestyle='dotted')
if period is not None:
plt.text(
0.5,
0.95,
"Visibility over P{0!s}\n - altitudes at mid-dark time -".format(
period),
transform=fig.transFigure,
ha='center',
va='bottom',
fontsize=12)
else:
plt.text(
0.5,
0.95,
"Visibility over {0!s}\n - altitudes at mid-dark time -".format(
date),
transform=fig.transFigure,
ha='center',
va='bottom',
fontsize=12)
obsco = "Obs coord.: {0:8.4f}$^\circ$, {1:8.4f}$^\circ$, {2:4f} m".format(
obs['longitude'], obs['latitude'], obs['altitude'])
plt.text(0.01,
0.97,
obsco,
transform=fig.transFigure,
ha='left',
va='center',
fontsize=10)
plt.text(0.01,
0.95,
obs['name'],
transform=fig.transFigure,
ha='left',
va='center',
fontsize=10)
# interactive!
if hover:
main_axis = fig.axes[0]
all_lines = set(main_axis.get_lines())
def on_plot_hover(event):
for line in main_axis.get_lines():
if line.contains(event)[0]:
line.set_color('red') # make this line red
# and all others black
all_other_lines = all_lines - set([line])
for other_line in all_other_lines:
other_line.set_color('black')
fig.canvas.draw_idle()
fig.canvas.mpl_connect('motion_notify_event', on_plot_hover)
return fig
OBSERVER_END_DT = OBSERVER_TIMEZONE.localize(datetime.datetime.strptime(END_DATE, "%Y-%m-%d"))
# Setup observer
OBS = ephem.Observer()
OBS.lat = str(OBSERVER_LATITUDE)
OBS.lon = str(OBSERVER_LONGITUDE)
OBS.elev = OBSERVER_ELEVATION
# Date range helper
def closed_dates_interval(start_date, end_date):
for n in range(int ((end_date - start_date).days + 1)):
yield start_date + datetime.timedelta(days=n)
import math
SUN = ephem.Sun()
OBSERVATION_HOUR = 12
ALTS = []
AZIS = []
for day in closed_dates_interval(OBSERVER_BEG_DT, OBSERVER_END_DT):
# Analemma computation
physical_timezone_delta = datetime.timedelta(hours=(float(OBS.lon) * 12 / math.pi))
hour_o_clock = day.replace(tzinfo=None) \
+ datetime.timedelta(hours=OBSERVATION_HOUR) \
- physical_timezone_delta
OBS.date = hour_o_clock.strftime("%Y-%m-%d %H:%M:%S")
SUN.compute(OBS)
def sunaz(self):
self.obs.date = datetime.datetime.utcnow()
sun = ephem.Sun()
sun.compute(self.obs)
return float(sun.az) * 180.0 / math.pi
def planet_rise():
sitka = ephem.Observer()
# sitka.date = '2015/6/18'
sitka.lat = '22.5'
sitka.long = '77.5'
m = ephem.Sun()
sitka.pressure = 0
sitka.horizon = '-18'
time_zone = 5.5
planet = {}
print 'Rise/ hign noon/set times for:', sitka.lat, sitka.long
print 'Rise -Twilight ', ephem.date(
sitka.next_rising(m) + time_zone * ephem.hour)
sitka.horizon = '-12'
print 'Rise - Nautical', ephem.date(
sitka.next_rising(m) + time_zone * ephem.hour)
sitka.horizon = '-6'
print 'Rise - Civil ', ephem.date(
sitka.next_rising(m) + time_zone * ephem.hour)
sitka.horizon = '-0:50'
sun_rise = ephem.date(sitka.next_rising(m) + time_zone * ephem.hour)
print 'Rise Regular ', sun_rise
sitka.date = ephem.date(sitka.next_rising(m))
m = ephem.Sun(sitka)
print 'azimuth ', m.az
noon = ephem.date(sitka.next_transit(m) + time_zone * ephem.hour)
print 'Noon ', noon
sitka.date = ephem.date(sitka.next_transit(m))
m = ephem.Sun(sitka)
print 'azimuth ', m.alt
sun_set = ephem.date(sitka.next_setting(m) + time_zone * ephem.hour)
print 'Set ', sun_set
sitka.date = ephem.date(sitka.next_setting(m))
m = ephem.Sun(sitka)
print 'azimuth ', m.az
print 'Day Length ', (sun_set - sun_rise) * 24
sitka.horizon = '-6'
sun_set = ephem.date(sitka.next_setting(m) + time_zone * ephem.hour)
print 'Sunset - Civil ', sun_set
sitka.horizon = '-12'
sun_set = ephem.date(sitka.next_setting(m) + time_zone * ephem.hour)
print 'Sunset - Naut ', sun_set
sitka.horizon = '-18'
sun_set = ephem.date(sitka.next_setting(m) + time_zone * ephem.hour)
print 'Sunset - Astro ', sun_set
print '--------------------------------'
print 'Moon'
print '--------------------------------'
sitka = ephem.Observer()
# sitka.date = '2015/6/22'
sitka.lat = '34:1'
sitka.long = '-118:15'
m = ephem.Moon()
print 'Rise/ hign noon/set times for:', sitka.lat, sitka.long
print 'Rise ', ephem.date(sitka.next_rising(m) + time_zone * ephem.hour)
sitka.date = ephem.date(sitka.next_rising(m))
m = ephem.Moon(sitka)
print 'azimuth', m.az
print 'Noon ', ephem.date(sitka.next_transit(m) + time_zone * ephem.hour)
sitka.date = ephem.date(sitka.next_transit(m))
m = ephem.Moon(sitka)
print 'azimuth', m.alt, m.phase, '% phase', m.earth_distance * ephem.meters_per_au / 1600
print 'Set ', ephem.date(sitka.next_setting(m) + time_zone * ephem.hour)
sitka.date = ephem.date(sitka.next_setting(m))
m = ephem.Moon(sitka)
print 'azimuth', m.az
print '--------------------------------'
print 'Moon - Now'
sitka = ephem.Observer()
# sitka.date = '2015/10/19 4:21:54'
sitka.lat = '34:03'
sitka.long = '-118:15'
v = ephem.Moon(sitka)
Altitude = v.alt
Direction = v.az
m = ephem.Moon()
m.compute()
Phase = m.phase
Distance = (m.earth_distance * ephem.meters_per_au / 1600)
planet['Moon'] = {
'Phase': Phase,
'Distance': Distance,
'Altitude': Altitude,
'Direction': Direction
}
print '--------------------------------'
print 'Mercury'
print '--------------------------------'
sitka = ephem.Observer()
#sitka.date = '2015/10/12'
sitka.lat = '34:03'
sitka.long = '-118:15'
m = ephem.Mercury()
print 'Rise/ hign noon/set times for:', sitka.lat, sitka.long
print 'Rise ', ephem.date(sitka.next_rising(m) + time_zone * ephem.hour)
sitka.date = ephem.date(sitka.next_rising(m))
m = ephem.Mercury(sitka)
print 'azimuth', m.az
print 'Noon ', ephem.date(sitka.next_transit(m) + time_zone * ephem.hour)
sitka.date = ephem.date(sitka.next_transit(m))
m = ephem.Mercury(sitka)
print 'azimuth', m.alt, m.phase, '% phase'
print 'Set ', ephem.date(sitka.next_setting(m) + time_zone * ephem.hour)
sitka.date = ephem.date(sitka.next_setting(m))
m = ephem.Mercury(sitka)
print 'azimuth', m.az
print '--------------------------------'
print 'Mercury - Now'
sitka = ephem.Observer()
#sitka.date = '2015/10/19 4:21:54'
sitka.lat = '34:03'
sitka.long = '-118:15'
v = ephem.Mercury(sitka)
Altitude = v.alt
Direction = v.az
m = ephem.Mercury()
m.compute()
Phase = m.phase
Distance = (m.earth_distance * ephem.meters_per_au / 1600)
planet['Mercury'] = {
'Phase': Phase,
'Distance': Distance,
'Altitude': Altitude,
'Direction': Direction
}
print '--------------------------------'
print 'Venus'
print '--------------------------------'
sitka = ephem.Observer()
# sitka.date = '2015/10/12'
sitka.lat = '34:03'
sitka.long = '-118:15'
m = ephem.Venus()
print 'Rise/ hign noon/set times for:', sitka.lat, sitka.long
print 'Rise ', ephem.date(sitka.next_rising(m) + time_zone * ephem.hour)
sitka.date = ephem.date(sitka.next_rising(m))
m = ephem.Venus(sitka)
print 'azimuth', m.az
print 'Noon ', ephem.date(sitka.next_transit(m) + time_zone * ephem.hour)
sitka.date = ephem.date(sitka.next_transit(m))
m = ephem.Venus(sitka)
print 'azimuth', m.alt, m.phase, '% phase'
print 'Set ', ephem.date(sitka.next_setting(m) + time_zone * ephem.hour)
sitka.date = ephem.date(sitka.next_setting(m))
m = ephem.Venus(sitka)
print 'azimuth', m.az
print '--------------------------------'
print 'Venus - Now'
sitka = ephem.Observer()
#sitka.date = '2015/10/19 4:21:54'
sitka.lat = '34:03'
sitka.long = '-118:15'
v = ephem.Venus(sitka)
Altitude = v.alt
Direction = v.az
m = ephem.Venus()
m.compute()
Phase = m.phase
Distance = (m.earth_distance * ephem.meters_per_au / 1600)
planet['Venus'] = {
'Phase': Phase,
'Distance': Distance,
'Altitude': Altitude,
'Direction': Direction
}
print '--------------------------------'
print 'Mars'
print '--------------------------------'
sitka = ephem.Observer()
#sitka.date = '2015/10/12'
sitka.lat = '34:03'
sitka.long = '-118:15'
m = ephem.Mars()
print 'Rise/ hign noon/set times for:', sitka.lat, sitka.long
print 'Rise ', ephem.date(sitka.next_rising(m) + time_zone * ephem.hour)
sitka.date = ephem.date(sitka.next_rising(m))
m = ephem.Mars(sitka)
print 'azimuth', m.az
print 'Noon ', ephem.date(sitka.next_transit(m) + time_zone * ephem.hour)
sitka.date = ephem.date(sitka.next_transit(m))
m = ephem.Mars(sitka)
print 'azimuth', m.alt, m.phase, '% phase'
print 'Set ', ephem.date(sitka.next_setting(m) + time_zone * ephem.hour)
sitka.date = ephem.date(sitka.next_setting(m))
m = ephem.Mars(sitka)
print 'azimuth', m.az
print '--------------------------------'
print 'Mars - Now'
sitka = ephem.Observer()
#sitka.date = '2015/10/19 4:21:54'
sitka.lat = '34:03'
sitka.long = '-118:15'
v = ephem.Mars(sitka)
Altitude = v.alt
Direction = v.az
m = ephem.Mars()
m.compute()
Phase = m.phase
Distance = (m.earth_distance * ephem.meters_per_au / 1600)
planet['Mars'] = {
'Phase': Phase,
'Distance': Distance,
'Altitude': Altitude,
'Direction': Direction
}
print '--------------------------------'
print 'Jupiter'
print '--------------------------------'
sitka = ephem.Observer()
#sitka.date = '2015/10/12'
sitka.lat = '34:03'
sitka.long = '-118:15'
m = ephem.Jupiter()
print 'Rise/ hign noon/set times for:', sitka.lat, sitka.long
Rise = str(ephem.date(sitka.next_rising(m) + time_zone * ephem.hour))
sitka.date = ephem.date(sitka.next_rising(m))
m = ephem.Jupiter(sitka)
print 'azimuth', m.az
print 'Noon ', ephem.date(sitka.next_transit(m) + time_zone * ephem.hour)
sitka.date = ephem.date(sitka.next_transit(m))
m = ephem.Jupiter(sitka)
print 'azimuth', m.alt, m.phase, '% phase'
Set = str(ephem.date(sitka.next_setting(m) + time_zone * ephem.hour))
sitka.date = ephem.date(sitka.next_setting(m))
m = ephem.Jupiter(sitka)
azimuth = m.az
#print '--------------------------------'
#print 'Jupiter - Now'
sitka = ephem.Observer()
#sitka.date = '2015/10/19 4:21:54'
sitka.lat = '34:03'
sitka.long = '-118:15'
v = ephem.Jupiter(sitka)
Altitude = str(v.alt)
Direction = str(v.az)
m = ephem.Jupiter()
m.compute()
Phase = str(m.phase)
Distance = str(m.earth_distance * ephem.meters_per_au / 1600)
planet['Jupiter'] = {
'Azimuth': azimuth,
'Rise': Rise,
'Set': Set,
'Phase': Phase,
'Distance': Distance,
'Altitude': Altitude,
'Direction': Direction
}
print '--------------------------------'
print 'Saturn'
print '--------------------------------'
sitka = ephem.Observer()
#sitka.date = '2015/10/12'
sitka.lat = '34:03'
sitka.long = '-118:15'
m = ephem.Saturn()
print 'Rise/ hign noon/set times for:', sitka.lat, sitka.long
print 'Rise ', ephem.date(sitka.next_rising(m) + time_zone * ephem.hour)
sitka.date = ephem.date(sitka.next_rising(m))
m = ephem.Saturn(sitka)
print 'azimuth', m.az
print 'Noon ', ephem.date(sitka.next_transit(m) + time_zone * ephem.hour)
sitka.date = ephem.date(sitka.next_transit(m))
m = ephem.Saturn(sitka)
print 'azimuth', m.alt, m.phase, '% phase'
print 'Set ', ephem.date(sitka.next_setting(m) + time_zone * ephem.hour)
sitka.date = ephem.date(sitka.next_setting(m))
m = ephem.Saturn(sitka)
print 'azimuth', m.az
print '--------------------------------'
print 'Saturn - Now'
sitka = ephem.Observer()
#sitka.date = '2015/10/19 4:21:54'
sitka.lat = '34:03'
sitka.long = '-118:15'
v = ephem.Saturn(sitka)
Altitude = v.alt
Direction = v.az
m = ephem.Saturn()
m.compute()
Phase = m.phase
Distance = (m.earth_distance * ephem.meters_per_au / 1600)
planet['Saturn'] = {
'Phase': Phase,
'Distance': Distance,
'Altitude': Altitude,
'Direction': Direction
}
print '--------------------------------'
print 'Uranus'
print '--------------------------------'
sitka = ephem.Observer()
#sitka.date = '2015/10/12'
sitka.lat = '34:03'
sitka.long = '-118:15'
m = ephem.Uranus()
print 'Rise/ hign noon/set times for:', sitka.lat, sitka.long
print 'Rise ', ephem.date(sitka.next_rising(m) + time_zone * ephem.hour)
sitka.date = ephem.date(sitka.next_rising(m))
m = ephem.Uranus(sitka)
print 'azimuth', m.az
print 'Noon ', ephem.date(sitka.next_transit(m) + time_zone * ephem.hour)
sitka.date = ephem.date(sitka.next_transit(m))
m = ephem.Uranus(sitka)
print 'azimuth', m.alt, m.phase, '% phase'
print 'Set ', ephem.date(sitka.next_setting(m) + time_zone * ephem.hour)
sitka.date = ephem.date(sitka.next_setting(m))
m = ephem.Uranus(sitka)
print 'azimuth', m.az
print '--------------------------------'
print 'Uranus - Now'
sitka = ephem.Observer()
#sitka.date = '2015/10/19 4:21:54'
sitka.lat = '34:03'
sitka.long = '-118:15'
v = ephem.Uranus(sitka)
Altitude = v.alt
Direction = v.az
m = ephem.Uranus()
m.compute()
Phase = m.phase
Distance = (m.earth_distance * ephem.meters_per_au / 1600)
planet['Uranus'] = {
'Phase': Phase,
'Distance': Distance,
'Altitude': Altitude,
'Direction': Direction
}
print '--------------------------------'
print 'Neptune'
print '--------------------------------'
sitka = ephem.Observer()
#sitka.date = '2015/10/12'
sitka.lat = '34:03'
sitka.long = '-118:15'
m = ephem.Neptune()
print 'Rise/ hign noon/set times for:', sitka.lat, sitka.long
print 'Rise ', ephem.date(sitka.next_rising(m) + time_zone * ephem.hour)
sitka.date = ephem.date(sitka.next_rising(m))
m = ephem.Neptune(sitka)
print 'azimuth', m.az
print 'Noon ', ephem.date(sitka.next_transit(m) + time_zone * ephem.hour)
sitka.date = ephem.date(sitka.next_transit(m))
m = ephem.Neptune(sitka)
print 'azimuth', m.alt, m.phase, '% phase'
print 'Set ', ephem.date(sitka.next_setting(m) + time_zone * ephem.hour)
sitka.date = ephem.date(sitka.next_setting(m))
m = ephem.Neptune(sitka)
print 'azimuth', m.az
print '--------------------------------'
print 'Neptune - Now'
sitka = ephem.Observer()
#sitka.date = '2015/10/19 4:21:54'
sitka.lat = '34:03'
sitka.long = '-118:15'
v = ephem.Neptune(sitka)
Altitude = v.alt
Direction = v.az
m = ephem.Neptune()
m.compute()
Phase = m.phase
Distance = (m.earth_distance * ephem.meters_per_au / 1600)
planet['Neptune'] = {
'Phase': Phase,
'Distance': Distance,
'Altitude': Altitude,
'Direction': Direction
}
print '--------------------------------'
print 'Pluto'
print '--------------------------------'
sitka = ephem.Observer()
#sitka.date = '2015/10/12'
sitka.lat = '34:03'
sitka.long = '-118:15'
m = ephem.Pluto()
print 'Rise/ hign noon/set times for:', sitka.lat, sitka.long
print 'Rise ', ephem.date(sitka.next_rising(m) + time_zone * ephem.hour)
sitka.date = ephem.date(sitka.next_rising(m))
m = ephem.Pluto(sitka)
print 'azimuth', m.az
print 'Noon ', ephem.date(sitka.next_transit(m) + time_zone * ephem.hour)
sitka.date = ephem.date(sitka.next_transit(m))
m = ephem.Pluto(sitka)
print 'azimuth', m.alt, m.phase, '% phase'
print 'Set ', ephem.date(sitka.next_setting(m) + time_zone * ephem.hour)
sitka.date = ephem.date(sitka.next_setting(m))
m = ephem.Pluto(sitka)
print 'azimuth', m.az
print '--------------------------------'
print 'Pluto - Now'
sitka = ephem.Observer()
#sitka.date = '2015/10/19 4:21:54'
sitka.lat = '34:03'
sitka.long = '-118:15'
v = ephem.Pluto(sitka)
Altitude = v.alt
Direction = v.az
m = ephem.Pluto()
m.compute()
Phase = m.phase
Distance = (m.earth_distance * ephem.meters_per_au / 1600)
planet['Pluto'] = {
'Phase': Phase,
'Distance': Distance,
'Altitude': Altitude,
'Direction': Direction
}
return (planet)
import numpy
from datetime import datetime
import math
import sidereal
import matplotlib.pyplot as plt
import matplotlib.transforms as mtransforms
import ephem
date = '2014-05-01 00:00:00' #UTC
figname = '05.eps'
skinakas = ephem.Observer()
skinakas.lat, skinakas.lon = '24.89', '35.23'
skinakas.date = date
skinakas.horizon = '-12'
end = skinakas.previous_rising(ephem.Sun(), use_center=True).tuple()
start = skinakas.next_setting(ephem.Sun(), use_center=True).tuple()
night_end = end[3] + end[3] / 60. + end[3] / 3600.
night_start = start[3] + start[3] / 60. + start[3] / 3600.
class Config():
def __init__(self):
config = ConfigParser.RawConfigParser()
config.read('config.cfg')
self.longitude = config.getfloat('location', 'longitude')
self.latitude = config.getfloat('location', 'latitude')
self.altitude = config.getfloat('location', 'altitude')
self.tabobdec = config.getboolean('location', 'tabobdec')
self.tabobpath = config.get('location', 'tabobpath')
self.timebins = config.getfloat('misc', 'timebins')
import ephem
import pytz
import timezonefinder
from stateoftheuniverse.widgets.prototypes import WidgetPrototype
from stateoftheuniverse.widgets.utils import stringdecorator
# TIMEZONE = pytz.timezone('Europe/London')
EPHEM_BODIES = [
ephem.Sun(),
ephem.Moon(),
ephem.Mercury(),
ephem.Venus(),
ephem.Mars(),
ephem.Jupiter(),
ephem.Saturn(),
# ephem.Uranus(),
# ephem.Neptune(),
]
class EphemBodies(WidgetPrototype):
def __init__(
self,
longitude: float,
latitude: float,
datetime,
):
super().__init__(longitude, latitude, datetime)
def dashboard(request):
reading = dict()
reading['indoor'] = get_current_reading()
date_from = datetime.utcnow() - timedelta(hours=24)
records = Record.objects.filter(
date__gte=date_from).order_by('date').values()
records_list = []
for record in list(records):
records_list.append({k: v for k, v in record.items() if v is not None})
reading['chart_data'] = json.dumps(records_list, cls=DjangoJSONEncoder)
if records:
reading['outdoor'] = {}
if records.exclude(outdoor_temperature=None).last():
reading['outdoor']['temperature'] = records.exclude(
outdoor_temperature=None).last()['outdoor_temperature']
else:
reading['outdoor']['temperature'] = None
if records.exclude(outdoor_humidity=None).last():
reading['outdoor']['humidity'] = records.exclude(
outdoor_humidity=None).last()['outdoor_humidity']
else:
reading['outdoor']['humidity'] = None
reading['aqi'] = {}
reading['aqi']['index'] = {}
reading['aqi']['index']['value'] = None
reading['aqi']['index']['description'] = None
if records.exclude(pm25=None).last():
reading['aqi']['PM25'] = records.exclude(pm25=None).last()['pm25']
else:
reading['aqi']['PM25'] = None
if records.exclude(pm10=None).last():
reading['aqi']['PM10'] = records.exclude(pm10=None).last()['pm10']
else:
reading['aqi']['PM10'] = None
if records.exclude(no2=None).last():
reading['aqi']['NO2'] = records.exclude(no2=None).last()['no2']
else:
reading['aqi']['NO2'] = None
if records.exclude(o3=None).last():
reading['aqi']['O3'] = records.exclude(o3=None).last()['o3']
else:
reading['aqi']['O3'] = None
else:
reading['outdoor'] = {}
reading['outdoor']['temperature'] = None
reading['outdoor']['humidity'] = None
reading['aqi'] = {}
reading['aqi']['index'] = {}
reading['aqi']['index']['value'] = None
reading['aqi']['index']['description'] = None
reading['aqi']['PM25'] = None
reading['aqi']['PM10'] = None
reading['aqi']['NO2'] = None
reading['aqi']['O3'] = None
city = ephem.Observer()
city.lat = '51.110'
city.lon = '17.032'
city.elev = 110
city.date = datetime.utcnow()
tz = pytz.timezone('Europe/Warsaw')
sunrise = city.previous_rising(ephem.Sun()).datetime().astimezone(tz)
sunset = city.next_setting(ephem.Sun()).datetime().astimezone(tz)
reading['sunrise'] = sunrise.strftime('%H:%M')
reading['sunset'] = sunset.strftime('%H:%M')
return render(request, 'thermo/dashboard.html', reading)
#!/usr/bin/env python3
import ephem
import time
import sys
date = time.strftime('%Y-%m-%d %H:%M:%S',
time.localtime(int(sys.argv[1]) + 3 * 60 * 60))
obs = ephem.Observer()
obs.lat = ''
obs.long = ''
obs.date = date
sun = ephem.Sun(obs)
sun.compute(obs)
sun_angle = float(sun.alt) * 57.2957795 # Rad to deg
print(int(sun_angle))
def next_sunrise(self, date=None):
obs = self.copy()
if date: obs.date = ephem.Date(date)
obs.horizon = self.twilight
return obs.next_rising(ephem.Sun(), use_center=True)
help='degress above or below horizon of Sun, with sign',
default=0.0)
args = parser.parse_args()
horizon = args.horizon
lat = args.latitude
long = args.longitude
elev = args.elevation
o = ephem.Observer()
o.lat = str(lat)
o.long = str(long)
o.elevation = elev
o.horizon = str(horizon)
s = ephem.Sun()
s.compute()
next_rise = o.next_rising(s).datetime()
next_set = o.next_setting(s).datetime()
prev_rise = o.previous_rising(s).datetime()
prev_set = o.previous_setting(s).datetime()
now = datetime.datetime.utcnow()
print('As of {},'.format(str(now)))
print(' latitude = {},'.format(lat))
print(' longitude = {},'.format(long))
print(' elevation = {},'.format(elev))
print(' horizon = {}'.format(horizon))
def sun_angles(datetime_index, coords, rise_set_times=None):
"""Calculate sun angles. Returns a dataframe containing `sun_alt`,
`sun_zenith`, `sun_azimuth` and `duration` over the passed datetime index.
Parameters
----------
datetime_index : pandas datetime index
Handled as if they were UTC not matter what timezone info
they may supply.
coords : (float, float) or (int, int) tuple
Latitude and longitude.
rise_set_times : list, default None
List of (sunrise, sunset) time tuples, if not passed, is computed
here.
"""
def _sun_alt_azim(sun, obs):
sun.compute(obs)
return sun.alt, sun.az
# Initialize ephem objects
obs = ephem.Observer()
obs.lat = str(coords[0])
obs.lon = str(coords[1])
sun = ephem.Sun()
# Calculate daily sunrise/sunset times
if not rise_set_times:
rise_set_times = _sun_rise_set(datetime_index, obs)
# Calculate hourly altitute, azimuth, and sunshine
alts = []
azims = []
durations = []
for index, item in enumerate(datetime_index):
obs.date = item
# rise/set times are indexed by day, so need to scale the index
rise_time, set_time = rise_set_times[int(index / 24)]
# Set angles, sun altitude and duration based on hour of day:
if rise_time is not None and item.hour == rise_time.hour:
# Special case for sunrise hour
duration = 60 - rise_time.minute - (rise_time.second / 60.0)
obs.date = rise_time + datetime.timedelta(minutes=duration / 2)
sun_alt, sun_azimuth = _sun_alt_azim(sun, obs)
elif set_time is not None and item.hour == set_time.hour:
# Special case for sunset hour
duration = set_time.minute + set_time.second / 60.0
obs.date = item + datetime.timedelta(minutes=duration / 2)
sun_alt, sun_azimuth = _sun_alt_azim(sun, obs)
else:
# All other hours
duration = 60
obs.date = item + datetime.timedelta(minutes=30)
sun_alt, sun_azimuth = _sun_alt_azim(sun, obs)
if sun_alt < 0: # If sun is below horizon
sun_alt, sun_azimuth, duration = 0, 0, 0
alts.append(sun_alt)
azims.append(sun_azimuth)
durations.append(duration)
df = pd.DataFrame(
{
'sun_alt': alts,
'sun_azimuth': azims,
'duration': durations
},
index=datetime_index)
df['sun_zenith'] = (np.pi / 2) - df.sun_alt
return df
args = parser.parse_args()
debug = False
cadence = args.cadence
uploadCadence = args.upload
lastUpload = datetime.datetime.now()
destinationPath = "/home/pi/share/camera"
if args.service:
log = logging.getLogger('skycam.service')
log.addHandler(journal.JournaldLogHandler())
log.setLevel(logging.INFO)
logLine = "Starting the skycam with a cadence of %d seconds" % cadence
log.info(logLine)
sun = ephem.Sun()
meteoLocation = ephem.Observer()
#meteoLocation.lon = '-3.5262707'
#meteoLocation.lat = '40.3719808'
#meteoLocation.elevation = 900
#meteoLocation.lon = '342.12'
# meteoLocation.lat = '28.76'
meteoLocation.elevation = 2326
meteoLocation.lon = '-17.7742491'
meteoLocation.lat = '28.6468866'
#meteoLocation.elevation = 281
d = datetime.datetime.utcnow()
localTime = ephem.localtime(ephem.Date(d))
print(localTime)
meteoLocation.date = ephem.Date(d)
sun = ephem.Sun(meteoLocation)
def main(args):
# The task at hand
filename = args.filename
# The station
if args.metadata is not None:
site = parse_ssmif(args.metadata)
ssmifContents = open(args.metadata).readlines()
else:
site = lwa1
ssmifContents = open(os.path.join(dataPath,
'lwa1-ssmif.txt')).readlines()
observer = site.get_observer()
antennas = site.antennas
# The file's parameters
fh = open(filename, 'rb')
nFramesFile = os.path.getsize(filename) // tbn.FRAME_SIZE
srate = tbn.get_sample_rate(fh)
antpols = len(antennas)
fh.seek(0)
if srate < 1000:
fh.seek(len(antennas) * 4 * tbn.FRAME_SIZE)
srate = tbn.get_sample_rate(fh)
antpols = len(antennas)
fh.seek(len(antennas) * 4 * tbn.FRAME_SIZE)
# Reference antenna
ref = args.reference
foundRef = False
for i, a in enumerate(antennas):
if a.stand.id == ref and a.pol == 0:
refX = i
foundRef = True
elif a.stand.id == ref and a.pol == 1:
refY = i
else:
pass
if not foundRef:
raise RuntimeError("Cannot file Stand #%i" % ref)
# Integration time (seconds and frames)
tInt = args.average
nFrames = int(round(tInt * srate / 512 * antpols))
tInt = nFrames / antpols * 512 / srate
# Total run length
nChunks = int(1.0 * nFramesFile / antpols * 512 / srate / tInt)
# Read in the first frame and get the date/time of the first sample
# of the frame. This is needed to get the list of stands.
junkFrame = tbn.read_frame(fh)
fh.seek(-tbn.FRAME_SIZE, 1)
startFC = junkFrame.header.frame_count
try:
central_freq = junkFrame.central_freq
except AttributeError:
from lsl.common.dp import fS
central_freq = fS * junkFrame.header.second_count / 2**32
beginDate = junkFrame.time.datetime
observer.date = beginDate
srcs = [
ephem.Sun(),
]
for line in _srcs:
srcs.append(ephem.readdb(line))
for i in xrange(len(srcs)):
srcs[i].compute(observer)
if srcs[i].alt > 0:
print("source %s: alt %.1f degrees, az %.1f degrees" %
(srcs[i].name, srcs[i].alt * 180 / numpy.pi,
srcs[i].az * 180 / numpy.pi))
# File summary
print("Filename: %s" % filename)
print("Date of First Frame: %s" % str(beginDate))
print("Ant/Pols: %i" % antpols)
print("Sample Rate: %i Hz" % srate)
print("Tuning Frequency: %.3f Hz" % central_freq)
print("Frames: %i (%.3f s)" %
(nFramesFile, 1.0 * nFramesFile / antpols * 512 / srate))
print("---")
print("Integration: %.3f s (%i frames; %i frames per stand/pol)" %
(tInt, nFrames, nFrames // antpols))
print("Chunks: %i" % nChunks)
# Create the FrameBuffer instance
buffer = TBNFrameBuffer(stands=range(1, antpols // 2 + 1), pols=[0, 1])
# Create the phase average and times
LFFT = 512
times = numpy.zeros(nChunks, dtype=numpy.float64)
simpleVis = numpy.zeros((nChunks, antpols), dtype=numpy.complex64)
central_freqs = numpy.zeros(nChunks, dtype=numpy.float64)
# Go!
k = 0
for i in xrange(nChunks):
# Find out how many frames remain in the file. If this number is larger
# than the maximum of frames we can work with at a time (maxFrames),
# only deal with that chunk
framesRemaining = nFramesFile - k
if framesRemaining > nFrames:
framesWork = nFrames
data = numpy.zeros((antpols, framesWork // antpols * 512),
dtype=numpy.complex64)
else:
framesWork = framesRemaining + antpols * buffer.nsegments
data = numpy.zeros((antpols, framesWork // antpols * 512),
dtype=numpy.complex64)
print("Working on chunk %i, %i frames remaining" %
(i + 1, framesRemaining))
count = [0 for a in xrange(len(antennas))]
j = 0
fillsWork = framesWork // antpols
# Inner loop that actually reads the frames into the data array
done = False
while j < fillsWork:
cFrames = deque()
for l in xrange(len(antennas)):
try:
cFrames.append(tbn.read_frame(fh))
k = k + 1
except errors.EOFError:
## Exit at the EOF
done = True
break
except errors.SyncError:
#print("WARNING: Mark 5C sync error on frame #%i" % (int(fh.tell())/tbn.FRAME_SIZE-1))
## Exit at the first sync error
done = True
break
buffer.append(cFrames)
cFrames = buffer.get()
if cFrames is None:
continue
for cFrame in cFrames:
stand, pol = cFrame.header.id
# In the current configuration, stands start at 1 and go up to 260. So, we
# can use this little trick to populate the data array
aStand = 2 * (stand - 1) + pol
# Save the time
if j == 0 and aStand == 0:
times[i] = cFrame.time
try:
central_freqs[i] = cFrame.central_freq
except AttributeError:
central_freqs[
i] = fS * cFrame.header.second_count / 2**32
if i > 0:
if central_freqs[i] != central_freqs[i - 1]:
print(
"Frequency change from %.3f to %.3f MHz at chunk %i"
% (central_freqs[i - 1] / 1e6,
central_freqs[i] / 1e6, i + 1))
data[aStand, count[aStand] * 512:(count[aStand] + 1) *
512] = cFrame.payload.data
# Update the counters so that we can average properly later on
count[aStand] = count[aStand] + 1
j += 1
if done:
break
if done:
break
# Time-domain blanking and cross-correlation with the outlier
simpleVis[i, :] = fringe.Simple(data, refX, refY, args.clip)
fh.close()
# Save the data
outname = os.path.split(filename)[1]
outname = os.path.splitext(outname)[0]
outname = "%s-ref%03i-multi-vis.npz" % (outname, args.reference)
numpy.savez(outname,
ref=ref,
refX=refX,
refY=refY,
tInt=tInt,
central_freqs=central_freqs,
times=times,
simpleVis=simpleVis,
ssmifContents=ssmifContents)
def logfftdata(flist, plist, longit, decln, rate, srate, pfx, combine):
global lastfftlogged
global doephem
global darkslides
global darkcounts
global dsinit
#
# Initialize darkslides to length of plist entries
#
if (darkslides == None):
darkslides = [[-200.0] * len(plist[0])] * COVERAGE
decisid = None
t = time.gmtime()
if (doephem):
sid = cur_sidereal(longit, 0)[0]
sids = sid.split(",")
decisid = float(
sids[0]) + float(sids[1]) / 60.0 + float(sids[2]) / 3600.0
else:
sid = "??,??,??"
if os.path.exists(pfx + "-current_decln.txt"):
f = open(pfx + "-current_decln.txt", "r")
v = f.readline()
v = v.strip("\n")
v = float(v)
f.close()
for i in range(len(decln)):
decln[i] = v
#
# Not time for it yet, buddy
#
t2 = time.time()
if ((t2 - lastfftlogged) < rate):
return
lastfftlogged = t2
di = 0
#
# MUST be 1:1 correspondence between flist and plist
#
if combine == True and len(plist) == 2:
lp1 = linearize(plist[0])
lp2 = linearize(plist[1])
ratio = numpy.sum(lp1) / numpy.sum(lp2)
#
# If one side is significantly stronger than another, there's a problem
# So, we append a message to an "ALERT" file
#
if (ratio > 2.50 or ratio < (1.0 / 2.5)):
f = open(pfx + "-ALERT.txt", "a")
f.write("%02d:%02d:%02d: ratio %f\n" %
(t.tm_hour, t.tm_min, t.tm_sec, ratio))
f.close()
#
# We adjust the two sides to be roughly-equal in magnitude
#
if (ratio < 1.0):
lp1 = numpy.multiply(lp1, 1.0 / ratio)
else:
lp2 = numpy.multiply(lp2, ratio)
#
# Then compute the linearized average
#
avg = numpy.add(lp1, lp2)
avg = numpy.divide(avg, 2.0)
#
# Then back into log10 form
#
newplist = numpy.log10(avg)
newplist = numpy.multiply(newplist, 10.0)
flist = [flist[0]]
plist = [newplist]
for x in range(0, len(flist)):
#
# Construct filename
#
fn = "%s-%04d%02d%02d-fft-%d.csv" % (pfx, t.tm_year, t.tm_mon,
t.tm_mday, x)
f = open(fn, "a")
#
# Determine GMT (UTC) time
#
gt = "%02d,%02d,%02d" % (t.tm_hour, t.tm_min, t.tm_sec)
#
# Scale frequency into MHz
#
fweq = "%g" % (flist[x] / 1.0e6)
#
# Write header stuff
#
f.write(gt + "," + sid + "," + fweq + ",")
f.write(str(int(srate)) + ",")
f.write(str(decln[di]) + ",")
if (decisid != None):
#
# Compute where the Sun currently is
#
sun = ephem.Sun()
sun.compute()
#
# Figure out our beam pointing--for a transit instrument, it's just
# LMST,DEC
#
beam = ephem.Equatorial(str(decisid), str(decln[di]))
#
# Suppress dark-slide writing if Sun is too close to our beam
#
sunbeam = False
if (math.degrees(
ephem.separation((beam.ra, beam.dec),
(sun.ra, sun.dec))) <= 10.0):
sunbeam = True
#
# Compute galactic coordinates of our beam
#
gp = ephem.Galactic(beam)
glat = math.degrees(gp.lat)
#
# If the galactic latitude of the current observation is outside of
# the main galactic plane, we use it as a "cold sky" calibrator
# and "dark slide" to remove instrument artifacts.
#
# We also avoid writing dark-slide data when the Sun is in the beam
#
#
if (sunbeam == False
and (glat < -OUTSIDE_GP or glat > OUTSIDE_GP)):
#
# Form an index into the darkslides array of lists
#
ndx = int(decln[di])
ndx += int(COVERAGE / 2)
#
# Pick up the values
#
vs = darkslides[ndx]
#
# Initialize
#
if (dsinit[ndx] == False):
dsinit[ndx] = True
darkslides[ndx] = copy.deepcopy(plist[x])
#
# Add current values in
#
darkslides[ndx] = numpy.add(darkslides[ndx], plist[x])
darkcounts[ndx] += 1
vs = darkslides[ndx]
#
# Write out the darkslide file
#
df = open(pfx + "-darkslide-%02d.csv" % (int(decln[di])), "w")
half = len(vs) / 2
half = int(half)
full = len(vs)
for dx in range(half, full):
val = vs[dx] / float(darkcounts[ndx])
df.write("%-6.2f," % val)
for dx in range(0, half):
val = vs[dx] / float(darkcounts[ndx])
df.write("%-6.2f" % val)
if (dx < half - 1):
df.write(",")
df.write("\n")
df.close()
#
# Reduce occasionally to prevent overflow
#
if (darkcounts[ndx] >= 20):
darkslides[ndx] = numpy.divide(darkslides[ndx],
float(darkcounts[ndx]))
darkcounts[ndx] = 1
#
# Bumpeth the declination index
#
di += 1
#
# Write out the FFT data
#
half = len(plist[x]) / 2
half = int(half)
full = len(plist[x])
y = plist[x]
for i in range(half, full):
f.write("%-6.2f," % y[i])
for i in range(0, half):
f.write("%-6.2f" % y[i])
if (i < half - 1):
f.write(",")
f.write("\n")
f.close()
def __init__(self, name, lon, lat, elevation, horizon, telescopes,
obs_date_str, utc_offset, utc_offset_name, startNow, start,
end):
self.name = name
self.ephemeris = ephem.Observer()
self.ephemeris.lon = lon
self.ephemeris.lat = lat
self.ephemeris.elevation = elevation
self.ephemeris.horizon = horizon
self.telescopes = telescopes
self.obs_date_string = obs_date_str
obs_date = parse("%s 12:00" % obs_date_str) # UTC Noon
self.obs_date = obs_date
self.ephemeris.date = (self.obs_date - timedelta(hours=utc_offset)
) # Local Noon n UTC
self.utc_begin_night = self.ephemeris.next_setting(
ephem.Sun(), use_center=True).datetime()
self.utc_end_night = self.ephemeris.next_rising(
ephem.Sun(), use_center=True).datetime()
if startNow:
self.utc_begin_night = datetime.now()
elif start is not None:
self.utc_begin_night = self.utc_begin_night.replace(
hour=int(start[:2]))
self.utc_begin_night = self.utc_begin_night.replace(
minute=int(start[2:]))
self.utc_end_night = self.ephemeris.next_rising(
ephem.Sun(), use_center=True).datetime() + timedelta(-1)
if end is not None:
self.utc_end_night = self.utc_end_night.replace(hour=int(end[:2]))
self.utc_end_night = self.utc_end_night.replace(
minute=int(end[2:]))
self.local_begin_night = pytz.utc.localize(self.utc_begin_night) \
.astimezone(UTC_Offset(utc_offset,utc_offset_name))
self.local_end_night = pytz.utc.localize(self.utc_end_night) \
.astimezone(UTC_Offset(utc_offset,utc_offset_name))
timeDiff = self.local_end_night - self.local_begin_night
self.length_of_night = int(round(timeDiff.total_seconds() / 60))
self.utc_time_array = np.asarray([self.utc_begin_night + timedelta(minutes=minute) \
for minute in range(self.length_of_night)])
self.local_time_array = np.asarray([self.local_begin_night + timedelta(minutes=minute) \
for minute in range(self.length_of_night)])
self.sidereal_string_array = []
self.sidereal_radian_array = []
for utc_time in self.utc_time_array:
self.ephemeris.date = utc_time
st = self.ephemeris.sidereal_time()
tokens = str(st).split(":")
float_tokens = [float(t) for t in tokens]
st_string = "%02d:%02d:%02d" % (float_tokens[0], float_tokens[1],
float_tokens[2])
self.sidereal_string_array.append(st_string)
self.sidereal_radian_array.append(st)
print("%s - %s deg Twilight Ends: %s" %
(self.name, np.abs(
self.ephemeris.horizon), self.local_begin_night))
print(
"%s - %s deg Dawn Begins: %s" %
(self.name, np.abs(self.ephemeris.horizon), self.local_end_night))
boia = ephem.Observer()
#Localização do observador
boia.lon = str(-48.42101867) #Note that lon should be in string format
boia.lat = str(-27.27445333) #Note that lat should be in string format
#Elevação do observador em metros
boia.elev = 0
# criando listas vazias para os vetores tempo e fchl para o período noturno
dn_dt = []
dn_flu = []
nh = []
# laço para cada passo de tempo da série temporal
bar = progressbar.ProgressBar(max_value=progressbar.UnknownLength)
for h in range(len(df_sc.index)):
bar.update(h) # barra de progresso
boia.date = df_sc.index[h].strftime("%Y-%m-%d") # dia da medição
sunrise = boia.next_rising(ephem.Sun()) # horário do nascer do sol no dia
sunset = boia.next_setting(ephem.Sun()) #horário por do sol no dia
if sunset.datetime()-dt.timedelta(hours=1)<=df_sc.index[h].to_pydatetime(): # seleção para os dados amostrados após o pôr do sol
dn_dt.append(df_sc.index[h]) # adicionando os horários à lista tempo
dn_flu.append(df_sc['flu'][h]) # adicionando os dados à lista de Fchl
nh.append(h)
if sunrise.datetime()+dt.timedelta(hours=1)>=df_sc.index[h].to_pydatetime(): # seleção para os dados amostrados antes do nascer do sol
dn_dt.append(df_sc.index[h]) # adicionando os horários à lista tempo
dn_flu.append(df_sc['flu'][h]) # adicionando os dados à lista de Fchl
nh.append(h)
os.system('cls') # limpando o display de resultados
dn = pd.DataFrame({'dt':dn_dt,'flu':dn_flu}) # criando pandas dataframe com os dados noturnos
max_night = dn.groupby(pd.Grouper(key='dt', freq='1D')).agg({'flu':[np.max]}) # agrupando os maiores valores por dia
def getlocation(LOCATION, CBODY):
#observation locations
locations = dict(
Barcroft=EarthLocation(lat=Angle(37.5838176, 'deg'),
lon=Angle(-118.2373297, 'deg'),
height=3800 * u.m),
Greenland=EarthLocation(lat=Angle(72.5796, 'deg'),
lon=Angle(-38.4592, 'deg'),
height=3200 * u.m),
UCSB=EarthLocation(lat=Angle(34.414, 'deg'),
lon=Angle(-119.843, 'deg'),
height=14 * u.m),
)
#celestial bodies
cbodies = dict(Sun=ephem.Sun(),
Moon=ephem.Moon(),
Mercury=ephem.Mercury(),
Venus=ephem.Venus(),
Mars=ephem.Mars(),
Jupiter=ephem.Jupiter(),
Saturn=ephem.Saturn(),
Uranus=ephem.Uranus(),
Neptune=ephem.Neptune())
#observer location
location = locations[LOCATION]
#current utc time
time = str(datetime.utcnow())
#celestial body of interest
if type(CBODY) == list:
az = CBODY[1]
alt = CBODY[2]
return az, alt
if type(CBODY) == str:
cbody = cbodies[CBODY]
#this method take 2x as long and produces a slightly different azel, I am not sure which is more accurate
'''##########################
#compute radec of body at current time
cbody.compute(time)
#create icrs object to convert to az el
icrs = ICRS(ra = Angle(str(cbody.ra) + 'hours'), dec = Angle(str(cbody.dec) + 'degrees'))
#print icrs.ra.deg, icrs.dec.deg
#convert to altaz coordinates
altaz = icrs.transform_to(AltAz(obstime=t, location=location))
print altaz.az.deg, altaz.alt.deg
#############################
'''
#set observer location and epoch
obs = ephem.Observer()
obs.lon, obs.lat = str(location.longitude.deg), str(
location.latitude.deg)
obs.elevation = float(str(location.height).split()[0])
obs.date = time
#compute celestial body az/el coordinates given observer spacetime coordiantes
cbody.compute(obs)
print cbody.az
#convert azimuth to degrees
az = str(cbody.az).split(':')
az = [float(i) for i in az]
az = (az[0] + az[1] / 60. + az[2] / 60. / 60.)
#convert altitude to degrees
alt = str(cbody.alt).split(':')
alt = [float(i) for i in alt]
alt = (alt[0] + alt[1] / 60. + alt[2] / 60. / 60.)
#return azimuth and altitude of celestial body
return az, alt
# Jimmy ephemeris calculations -
# angle between Polaris and the Sun
import datetime
import ephem # PyEphem - calculate ephemerides
import ephem.stars # star catalog
from math import degrees
TIME_FORMAT = "%Y-%m-%d %H:%M:%S"
#
# Set up bodies for observation
#
# major body
SUN = ephem.Sun()
# from star catalog
POL = ephem.stars.stars["Polaris"]
# location on Earth
JIMMY = ephem.Observer()
JIMMY.lat = "33.885829" # as string (degrees North latitude)
JIMMY.lon = "-117.818459" # as string (degrees East longitude)
JIMMY.elevation = 111.3 + 1.5 # as float (meters ASL)
JIMMY_TZ = datetime.timedelta(hours=-8) # timezone offset (PST)
def update(utc_date_time):
"""
Compute locations at given date and time
"""
def _setupPointGrid(self):
"""
Setup the points for the interpolation functions.
"""
# Switch to Dublin Julian Date for pyephem
self.Observatory.date = mjd2djd(self.mjd)
sun = ephem.Sun()
sun.compute(self.Observatory)
self.sunAlt = sun.alt
self.sunAz = sun.az
self.sunRA = sun.ra
self.sunDec = sun.dec
# Compute airmass the same way as ESO model
self.airmass = 1. / np.cos(np.pi / 2. - self.alts)
self.points['airmass'] = self.airmass
self.points['nightTimes'] = 2
self.points['alt'] = self.alts
self.points['az'] = self.azs
if self.twilight:
self.points['sunAlt'] = self.sunAlt
self.azRelSun = wrapRA(self.azs - self.sunAz)
self.points['azRelSun'] = self.azRelSun
if self.moon:
moon = ephem.Moon()
moon.compute(self.Observatory)
self.moonPhase = moon.phase
self.moonAlt = moon.alt
self.moonAz = moon.az
self.moonRA = moon.ra
self.moonDec = moon.dec
# Calc azimuth relative to moon
self.azRelMoon = calcAzRelMoon(self.azs, self.moonAz)
self.moonTargSep = haversine(self.azs, self.alts, self.moonAz,
self.moonAlt)
self.points['moonAltitude'] += np.degrees(self.moonAlt)
self.points['azRelMoon'] += self.azRelMoon
self.moonSunSep = self.moonPhase / 100. * 180.
self.points['moonSunSep'] += self.moonSunSep
if self.zodiacal:
self.eclipLon = np.zeros(self.npts)
self.eclipLat = np.zeros(self.npts)
for i, temp in enumerate(self.ra):
eclip = ephem.Ecliptic(
ephem.Equatorial(self.ra[i], self.dec[i], epoch='2000'))
self.eclipLon[i] += eclip.lon
self.eclipLat[i] += eclip.lat
# Subtract off the sun ecliptic longitude
sunEclip = ephem.Ecliptic(sun)
self.sunEclipLon = sunEclip.lon
self.points['altEclip'] += self.eclipLat
self.points['azEclipRelSun'] += wrapRA(self.eclipLon -
self.sunEclipLon)
self.mask = np.where((self.airmass > self.airmassLimit)
| (self.airmass < 1.))[0]
self.goodPix = np.where((self.airmass <= self.airmassLimit)
& (self.airmass >= 1.))[0]
def get_next_sunset(self, timezone, location):
tz = pytz.timezone(timezone)
obs = self.create_observer(location)
sunset = obs.next_setting(ephem.Sun()).datetime()
return pytz.utc.localize(sunset).astimezone(tz)
from get_sky import get_sky
from pkg_resources import resource_filename
from desiutil.iers import freeze_iers
freeze_iers()
mayall = get_location()
emayall = ephem.Observer()
emayall.lon = ephem.degrees(mayall.lon.value * np.pi / 180.)
emayall.lat = ephem.degrees(mayall.lat.value * np.pi / 180.)
emayall.elevation = mayall.height.value
moon = ephem.Moon()
sun = ephem.Sun()
def airmass(zd):
# Airmass at given zenith distance.
return (1. - 0.96 * np.sin(zd * np.pi / 180.)**2.)**-0.5
def get_solar(mjd, ras, decs):
t = Time(mjd, format='mjd', scale='utc')
emayall.date = t.iso
ras = np.atleast_1d(ras)
decs = np.atleast_1d(decs)
pos = SkyCoord(ra = ras * u.degree, dec = decs * u.degree, frame='icrs').transform_to(AltAz(obstime=t, location=mayall))
alt = pos.alt.degree
az = pos.az.degree
def calculate_sun(self, obs):
aux = obs
aux.compute_pressure()
aux.horizon = '-12'
sun = ephem.Sun(aux)
return aux.previous_setting(sun), aux.next_rising(sun)