def get_twilights(start, end): """ Determine sunrise and sunset times """ location = EarthLocation( lat=+19.53602, lon=-155.57608, height=3400, ) obs = Observer(location=location, name='VYSOS', timezone='US/Hawaii') sunset = obs.sun_set_time(Time(start), which='next').datetime sunrise = obs.sun_rise_time(Time(start), which='next').datetime # Calculate and order twilights and set plotting alpha for each twilights = [ (start, 'start', 0.0), (sunset, 'sunset', 0.0), (obs.twilight_evening_civil(Time(start), which='next').datetime, 'ec', 0.1), (obs.twilight_evening_nautical(Time(start), which='next').datetime, 'en', 0.2), (obs.twilight_evening_astronomical(Time(start), which='next').datetime, 'ea', 0.3), (obs.twilight_morning_astronomical(Time(start), which='next').datetime, 'ma', 0.5), (obs.twilight_morning_nautical(Time(start), which='next').datetime, 'mn', 0.3), (obs.twilight_morning_civil(Time(start), which='next').datetime, 'mc', 0.2), (sunrise, 'sunrise', 0.1), ] twilights.sort(key=lambda x: x[0]) final = { 'sunset': 0.1, 'ec': 0.2, 'en': 0.3, 'ea': 0.5, 'ma': 0.3, 'mn': 0.2, 'mc': 0.1, 'sunrise': 0.0 } twilights.append((end, 'end', final[twilights[-1][1]])) return twilights
def get_twilights(self, config=None): """ Determine sunrise and sunset times """ print(' Determining sunrise, sunset, and twilight times') if config is None: from pocs.utils.config import load_config as pocs_config config = pocs_config()['location'] location = EarthLocation( lat=config['latitude'], lon=config['longitude'], height=config['elevation'], ) obs = Observer(location=location, name='PANOPTES', timezone=config['timezone']) sunset = obs.sun_set_time(Time(self.start), which='next').datetime sunrise = obs.sun_rise_time(Time(self.start), which='next').datetime # Calculate and order twilights and set plotting alpha for each twilights = [(self.start, 'start', 0.0), (sunset, 'sunset', 0.0), (obs.twilight_evening_civil(Time(self.start), which='next').datetime, 'ec', 0.1), (obs.twilight_evening_nautical(Time(self.start), which='next').datetime, 'en', 0.2), (obs.twilight_evening_astronomical(Time(self.start), which='next').datetime, 'ea', 0.3), (obs.twilight_morning_astronomical(Time(self.start), which='next').datetime, 'ma', 0.5), (obs.twilight_morning_nautical(Time(self.start), which='next').datetime, 'mn', 0.3), (obs.twilight_morning_civil(Time(self.start), which='next').datetime, 'mc', 0.2), (sunrise, 'sunrise', 0.1), ] twilights.sort(key=lambda x: x[0]) final = {'sunset': 0.1, 'ec': 0.2, 'en': 0.3, 'ea': 0.5, 'ma': 0.3, 'mn': 0.2, 'mc': 0.1, 'sunrise': 0.0} twilights.append((self.end, 'end', final[twilights[-1][1]])) return twilights
def get_twilights(start, end, webcfg, nsample=256): """ Determine sunrise and sunset times """ location = c.EarthLocation( lat=webcfg['site'].getfloat('site_lat'), lon=webcfg['site'].getfloat('site_lon'), height=webcfg['site'].getfloat('site_elevation'), ) obs = Observer(location=location, name=webcfg['site'].get('name', '')) sunset = obs.sun_set_time(Time(start), which='next').datetime sunrise = obs.sun_rise_time(Time(start), which='next').datetime # Calculate and order twilights and set plotting alpha for each twilights = [ (start, 'start', 0.0), (sunset, 'sunset', 0.0), (obs.twilight_evening_civil(Time(start), which='next').datetime, 'ec', 0.1), (obs.twilight_evening_nautical(Time(start), which='next').datetime, 'en', 0.2), (obs.twilight_evening_astronomical(Time(start), which='next').datetime, 'ea', 0.3), (obs.twilight_morning_astronomical(Time(start), which='next').datetime, 'ma', 0.5), (obs.twilight_morning_nautical(Time(start), which='next').datetime, 'mn', 0.3), (obs.twilight_morning_civil(Time(start), which='next').datetime, 'mc', 0.2), (sunrise, 'sunrise', 0.1), ] twilights.sort(key=lambda x: x[0]) final = { 'sunset': 0.1, 'ec': 0.2, 'en': 0.3, 'ea': 0.5, 'ma': 0.3, 'mn': 0.2, 'mc': 0.1, 'sunrise': 0.0 } twilights.append((end, 'end', final[twilights[-1][1]])) return twilights
obs.moon_set(time_obs, which='nearest') # The above functions can be called with an `angle` keyword argument to specify # a particular horizon angle for rising or setting, or can be called with # convenience functions for particular morning/evening twilight. # For example, to compute astronomical twilight by specifying the `angle`: obs.sun_set_time(time_obs, which='next', angle=18*u.degree) # evening (astronomical) twilight obs.twilight_evening_astronomical(time_obs) # evening (nautical) twilight obs.twilight_evening_nautical(time_obs) # evening (civil) twilight obs.twilight_evening_civil(time_obs) # morning (nautical) twilight obs.twilight_morning_nautical(time_obs) # morning (civil) twilight obs.twilight_morning_civil(time_obs) # morning (astronomical) twilight obs.twilight_morning_astronomical(time_obs) # what is the moon illumination? # returns a float, which is percentage of the moon illuminated obs.moon_illumination(time_obs) # what is the moon altitude and azimuth?
def main(args=None): p = parser() opts = p.parse_args(args) # Late imports import operator import sys from astroplan import Observer from astroplan.plots import plot_airmass from astropy.coordinates import EarthLocation, SkyCoord from astropy.table import Table from astropy.time import Time from astropy import units as u from matplotlib import dates from matplotlib.cm import ScalarMappable from matplotlib.colors import Normalize from matplotlib.patches import Patch from matplotlib import pyplot as plt from tqdm import tqdm import pytz from ..io import fits from .. import moc from .. import plot # noqa from ..extern.quantile import percentile if opts.site is None: if opts.site_longitude is None or opts.site_latitude is None: p.error('must specify either --site or both ' '--site-longitude and --site-latitude') location = EarthLocation(lon=opts.site_longitude * u.deg, lat=opts.site_latitude * u.deg, height=(opts.site_height or 0) * u.m) if opts.site_timezone is not None: location.info.meta = {'timezone': opts.site_timezone} observer = Observer(location) else: if not ((opts.site_longitude is None) and (opts.site_latitude is None) and (opts.site_height is None) and (opts.site_timezone is None)): p.error('argument --site not allowed with arguments ' '--site-longitude, --site-latitude, ' '--site-height, or --site-timezone') observer = Observer.at_site(opts.site) m = fits.read_sky_map(opts.input.name, moc=True) # Make an empty airmass chart. t0 = Time(opts.time) if opts.time is not None else Time.now() t0 = observer.midnight(t0) ax = plot_airmass([], observer, t0, altitude_yaxis=True) # Remove the fake source and determine times that were used for the plot. del ax.lines[:] times = Time(np.linspace(*ax.get_xlim()), format='plot_date') theta, phi = moc.uniq2ang(m['UNIQ']) coords = SkyCoord(phi, 0.5 * np.pi - theta, unit='rad') prob = moc.uniq2pixarea(m['UNIQ']) * m['PROBDENSITY'] levels = np.arange(90, 0, -10) nlevels = len(levels) percentiles = np.concatenate((50 - 0.5 * levels, 50 + 0.5 * levels)) airmass = np.column_stack([ percentile(condition_secz(coords.transform_to(observer.altaz(t)).secz), percentiles, weights=prob) for t in tqdm(times) ]) cmap = ScalarMappable(Normalize(0, 100), plt.get_cmap()) for level, lo, hi in zip(levels, airmass[:nlevels], airmass[nlevels:]): ax.fill_between( times.plot_date, clip_verylarge(lo), # Clip infinities to large but finite values clip_verylarge(hi), # because fill_between cannot handle inf color=cmap.to_rgba(level), zorder=2) ax.legend([Patch(facecolor=cmap.to_rgba(level)) for level in levels], ['{}%'.format(level) for level in levels]) # ax.set_title('{} from {}'.format(m.meta['objid'], observer.name)) # Adapted from astroplan start = times[0] twilights = [ (times[0].datetime, 0.0), (observer.sun_set_time(Time(start), which='next').datetime, 0.0), (observer.twilight_evening_civil(Time(start), which='next').datetime, 0.1), (observer.twilight_evening_nautical(Time(start), which='next').datetime, 0.2), (observer.twilight_evening_astronomical(Time(start), which='next').datetime, 0.3), (observer.twilight_morning_astronomical(Time(start), which='next').datetime, 0.4), (observer.twilight_morning_nautical(Time(start), which='next').datetime, 0.3), (observer.twilight_morning_civil(Time(start), which='next').datetime, 0.2), (observer.sun_rise_time(Time(start), which='next').datetime, 0.1), (times[-1].datetime, 0.0), ] twilights.sort(key=operator.itemgetter(0)) for i, twi in enumerate(twilights[1:], 1): if twi[1] != 0: ax.axvspan(twilights[i - 1][0], twilights[i][0], ymin=0, ymax=1, color='grey', alpha=twi[1], linewidth=0) if twi[1] != 0.4: ax.axvspan(twilights[i - 1][0], twilights[i][0], ymin=0, ymax=1, color='white', alpha=0.8 - 2 * twi[1], zorder=3, linewidth=0) # Add local time axis timezone = (observer.location.info.meta or {}).get('timezone') if timezone: tzinfo = pytz.timezone(timezone) ax2 = ax.twiny() ax2.set_xlim(ax.get_xlim()) ax2.set_xticks(ax.get_xticks()) ax2.xaxis.set_major_formatter(dates.DateFormatter('%H:%M', tz=tzinfo)) plt.setp(ax2.get_xticklabels(), rotation=-30, ha='right') ax2.set_xlabel("Time from {} [{}]".format( min(times).to_datetime(tzinfo).date(), timezone)) if opts.verbose: # Write airmass table to stdout. times.format = 'isot' table = Table(masked=True) table['time'] = times table['sun_alt'] = np.ma.masked_greater_equal( observer.sun_altaz(times).alt, 0) table['sun_alt'].format = lambda x: '{}'.format(int(np.round(x))) for p, data in sorted(zip(percentiles, airmass)): table[str(p)] = np.ma.masked_invalid(data) table[str(p)].format = lambda x: '{:.01f}'.format(np.around(x, 1)) table.write(sys.stdout, format='ascii.fixed_width') # Show or save output. opts.output()
def post_save_night(sender, **kwargs): if not kwargs.get('raw', False): night = kwargs['instance'] location = night.location astropy_time = Time(datetime.combine(night.date, time(12))) astropy_time_delta = TimeDelta(600.0, format='sec') # guess if the moon is waxing or waning if ephem.next_full_moon(night.date) - ephem.Date(night.date) < ephem.Date(night.date) - ephem.previous_full_moon(night.date): waxing_moon = True else: waxing_moon = False observer = Observer( longitude=location.longitude, latitude=location.latitude, timezone='UTC' ) moon_phase = observer.moon_phase(astropy_time).value if waxing_moon: moon_phase = (math.pi - moon_phase) / (2 * math.pi) else: moon_phase = (math.pi + moon_phase) / (2 * math.pi) times = { 'sunset': observer.sun_set_time(astropy_time, which='next'), 'civil_dusk': observer.twilight_evening_civil(astropy_time, which='next'), 'nautical_dusk': observer.twilight_evening_nautical(astropy_time, which='next'), 'astronomical_dusk': observer.twilight_evening_astronomical(astropy_time, which='next'), 'midnight': observer.midnight(astropy_time, which='next'), 'astronomical_dawn': observer.twilight_morning_astronomical(astropy_time, which='next'), 'nautical_dawn': observer.twilight_morning_nautical(astropy_time, which='next'), 'civil_dawn': observer.twilight_morning_civil(astropy_time, which='next'), 'sunrise': observer.sun_rise_time(astropy_time, which='next'), } night.mjd = int(astropy_time.mjd) + 1 night.moon_phase = moon_phase for key in times: if times[key].jd > 0: setattr(night, key, times[key].to_datetime(timezone=utc)) post_save.disconnect(post_save_night, sender=sender) night.save() post_save.connect(post_save_night, sender=sender) moon_positions = [] for i in range(144): moon_altitude = observer.moon_altaz(astropy_time).alt.degree moon_position = MoonPosition( timestamp=astropy_time.to_datetime(timezone=utc), altitude=moon_altitude, location=location ) moon_positions.append(moon_position) astropy_time += astropy_time_delta MoonPosition.objects.bulk_create(moon_positions)
def plan_when_transits_will_occur( filename='targets.txt', observatory='Southern African Large Telescope', start='2017-06-22', end='2017-06-28', airmass_limit=2.5, moon_distance=10, do_secondary=True, method='by_night'): ''' Plan when targets will be visibile and transiting from a site. Inputs ------ filename : str A plain text file with the following columns: target : The name of the target (e.g. J0555-57). RA : The right ascension of the target (e.g. 05h55m32.62s). DEC : The declination of the target (e.g. -57d17m26.1s). epoch* : The epoch of the transit. Youc can either use: epoch_HJD-2400000 : HJD - 24500000 epoch_BJD-2455000 : MJD Period : The period of the system (days). Secondary : can be True or False depending on whether you want to see when the secondary transits will be. observatory : str The observatory you are observing from. See later for list of available observatories (accepted by astropy). start : str The first night of observation (e.g. 2017-08-31). end : str The last night of observation (e.g. 2017-09-10). airmass_limit : float The maximum airmass you want to observe through. moon_distance : float The closest the target can be t the moon in arcmins. do_secondary = True: Look for secondary eclipses assuming circularised orbits. Available observator names are: 'ALMA', 'Anglo-Australian Observatory', 'Apache Point', 'Apache Point Observatory', 'Atacama Large Millimeter Array', 'BAO', 'Beijing XingLong Observatory', 'Black Moshannon Observatory', 'CHARA', 'Canada-France-Hawaii Telescope', 'Catalina Observatory', 'Cerro Pachon', 'Cerro Paranal', 'Cerro Tololo', 'Cerro Tololo Interamerican Observatory', 'DCT', 'Discovery Channel Telescope', 'Dominion Astrophysical Observatory', 'Gemini South', 'Hale Telescope', 'Haleakala Observatories', 'Happy Jack', 'Jansky Very Large Array', 'Keck Observatory', 'Kitt Peak', 'Kitt Peak National Observatory', 'La Silla Observatory', 'Large Binocular Telescope', 'Las Campanas Observatory', 'Lick Observatory', 'Lowell Observatory', 'Manastash Ridge Observatory', 'McDonald Observatory', 'Medicina', 'Medicina Dish', 'Michigan-Dartmouth-MIT Observatory', 'Mount Graham International Observatory', 'Mt Graham', 'Mt. Ekar 182 cm. Telescope', 'Mt. Stromlo Observatory', 'Multiple Mirror Telescope', 'NOV', 'National Observatory of Venezuela', 'Noto', 'Observatorio Astronomico Nacional, San Pedro Martir', 'Observatorio Astronomico Nacional, Tonantzintla', 'Palomar', 'Paranal Observatory', 'Roque de los Muchachos', 'SAAO', 'SALT', 'SRT', 'Siding Spring Observatory', 'Southern African Large Telescope', 'Subaru', 'Subaru Telescope', 'Sutherland', 'Vainu Bappu Observatory', 'Very Large Array', 'W. M. Keck Observatory', 'Whipple', 'Whipple Observatory', 'aao', 'alma', 'apo', 'bmo', 'cfht', 'ctio', 'dao', 'dct', 'ekar', 'example_site', 'flwo', 'gemini_north', 'gemini_south', 'gemn', 'gems', 'greenwich', 'haleakala', 'irtf', 'keck', 'kpno', 'lapalma', 'lasilla', 'lbt', 'lco', 'lick', 'lowell', 'mcdonald', 'mdm', 'medicina', 'mmt', 'mro', 'mso', 'mtbigelow', 'mwo', 'noto', 'ohp', 'paranal', 'salt', 'sirene', 'spm', 'srt', 'sso', 'tona', 'vbo', 'vla'. ''' ################### # Try reading table ################### try: target_table = Table.read(filename, format='ascii') except: raise ValueError( 'I cant open the target file (make sure its ascii with the following first line:\ntarget RA DEC epoch_HJD-2400000 Period Secondary' ) ############################## # try reading observation site ############################## try: observation_site = coord.EarthLocation.of_site(observatory) observation_handle = Observer(location=observation_site) observation_handle1 = Observer.at_site(observatory) except: print(coord.EarthLocation.get_site_names()) raise ValueError('The site is not understood') ################################### # Try reading start and end times ################################### try: start_time = Time(start + ' 12:01:00', location=observation_site) end_time = Time(end + ' 12:01:00', location=observation_site) number_of_nights = int(end_time.jd - start_time.jd) time_range = Time([start + ' 12:01:00', end + ' 12:01:00']) print('Number of nights: {}'.format(number_of_nights)) except: raise ValueError('Start and end times not understood') ##################### # Now do constraints ##################### #try: constraints = [ AltitudeConstraint(0 * u.deg, 90 * u.deg), AirmassConstraint(3), AtNightConstraint.twilight_civil() ] #except: # raise ValueError('Unable to get set constraints') if method == 'by_night': for i in range(number_of_nights): start_time_tmp = start_time + TimeDelta( i, format='jd') # get start time (doesent need to be accurate) end_time_tmp = start_time + TimeDelta( i + 1, format='jd') # get start time (doesent need to be accurate) print('#' * 80) start_time_tmpss = start_time_tmp.datetime.ctime().split( ) # ['Fri', 'Dec', '24', '12:00:00', '2010'] print('Night {} - {} {} {} {}'.format(i + 1, start_time_tmpss[0], start_time_tmpss[2], start_time_tmpss[1], start_time_tmpss[-1])) print('#' * 80) # Now print Almnac information (sunset and end of evening twilight print('Almnac:') sun_set = observation_handle.sun_set_time(start_time_tmp, which='next') print('Sunset:\t\t\t\t\t\t\t' + sun_set.utc.datetime.ctime()) twilight_evening_astronomical = observation_handle.twilight_evening_astronomical( start_time_tmp, which='next') # -18 twilight_evening_nautical = observation_handle.twilight_evening_nautical( start_time_tmp, which='next') # -12 twilight_evening_civil = observation_handle.twilight_evening_civil( start_time_tmp, which='next') # -6 deg print('Civil evening twilight (-6 deg) (U.T.C):\t\t' + twilight_evening_civil.utc.datetime.ctime()) print('Nautical evening twilight (-12 deg) (U.T.C):\t\t' + twilight_evening_nautical.utc.datetime.ctime()) print('Astronomical evening twilight (-18 deg) (U.T.C):\t' + twilight_evening_astronomical.utc.datetime.ctime()) print('\n') twilight_morning_astronomical = observation_handle.twilight_morning_astronomical( start_time_tmp, which='next') # -18 twilight_morning_nautical = observation_handle.twilight_morning_nautical( start_time_tmp, which='next') # -12 twilight_morning_civil = observation_handle.twilight_morning_civil( start_time_tmp, which='next') # -6 deg print('Astronomical morning twilight (-18 deg) (U.T.C):\t' + twilight_morning_astronomical.utc.datetime.ctime()) print('Nautical morning twilight (-12 deg) (U.T.C):\t\t' + twilight_morning_nautical.utc.datetime.ctime()) print('Civil morning twilight (-6 deg) (U.T.C):\t\t' + twilight_morning_civil.utc.datetime.ctime()) sun_rise = observation_handle.sun_rise_time(start_time_tmp, which='next') print('Sunrise:\t\t\t\t\t\t' + sun_rise.utc.datetime.ctime()) print('\n') # stuff for creating plot plot_mids = [] plot_names = [] plot_widths = [] for j in range(len(target_table)): # Extract information star_coordinates = coord.SkyCoord('{} {}'.format( target_table['RA'][j], target_table['DEC'][j]), unit=(u.hourangle, u.deg), frame='icrs') star_fixed_coord = FixedTarget(coord=star_coordinates, name=target_table['target'][j]) #################### # Get finder image #################### ''' plt.close() try: finder_image = plot_finder_image(star_fixed_coord,reticle=True,fov_radius=10*u.arcmin) except: pass plt.savefig(target_table['target'][j]+'_finder_chart.eps') ''' P = target_table['Period'][j] Secondary_transit = target_table['Secondary'][j] transit_half_width = TimeDelta( target_table['width'][j] * 60 * 60 / 2, format='sec') # in seconds for a TimeDelta # now convert T0 to HJD -> JD -> BJD so we can cout period if 'epoch_HJD-2400000' in target_table.colnames: #print('Using HJD-2400000') T0 = target_table['epoch_HJD-2400000'][j] T0 = Time(T0 + 2400000, format='jd') # HJD given by WASP ltt_helio = T0.light_travel_time(star_coordinates, 'heliocentric', location=observation_site) T0 = T0 - ltt_helio # HJD -> JD ltt_bary = T0.light_travel_time(star_coordinates, 'barycentric', location=observation_site) T0 = T0 + ltt_bary # JD -> BJD elif 'epoch_BJD-2455000' in target_table.colnames: #print('Using BJD-2455000') T0 = target_table['epoch_BJD-2455000'][j] + 2455000 T0 = Time(T0, format='jd') # BJD else: print('\n\n\n\n FAILE\n\n\n\n') continue ########################################################## # Now start from T0 and count in periods to find transits ########################################################## # convert star and end time to BJD ltt_bary_start_time = start_time_tmp.light_travel_time( star_coordinates, 'barycentric', location=observation_site) # + TimeDelta(i,format='jd') start_time_bary = start_time_tmp + ltt_bary_start_time # + TimeDelta(i,format='jd') # convert start time to BJD ltt_bary_end_time_tmp = end_time_tmp.light_travel_time( star_coordinates, 'barycentric', location=observation_site) # + TimeDelta(i,format='jd') end_time_bary = end_time_tmp + ltt_bary_start_time #+ TimeDelta(i+1,format='jd') # convert end time to BJD and add 1 day 12pm -> 12pm the next day elapsed = end_time_bary - start_time_bary # now this is 24 hours from the start day 12:00 pm # now count transits time = Time(T0.jd, format='jd') # make a temporary copy transits = [] primary_count, secondary_count = 0, 0 while time.jd < end_time_bary.jd: if (time.jd > start_time_bary.jd) and (time.jd < end_time_bary.jd): if is_observable(constraints, observation_handle, [star_fixed_coord], times=[time])[0] == True: transits.append(time) primary_count += 1 if Secondary_transit == 'yes': timesecondary = time + TimeDelta(P / 2, format='jd') if (timesecondary.jd > start_time_bary.jd) and ( timesecondary.jd < end_time_bary.jd): if is_observable(constraints, observation_handle, [star_fixed_coord], times=[timesecondary])[0] == True: transits.append(timesecondary) secondary_count += 1 time = time + TimeDelta(P, format='jd') # add another P to T0 # Now find visible transits transits = [ i for i in transits if is_observable(constraints, observation_handle, [star_fixed_coord], times=[i])[0] == True ] if len(transits) == 0: message = '{} has no transits.'.format( target_table['target'][j]) print('-' * len(message)) print(message) print('-' * len(message)) print('\n') plt.close() continue else: message = '{} has {} primary transits and {} secondary transits.'.format( target_table['target'][j], primary_count, secondary_count) print('-' * len(message)) print(message) print('RA: {}'.format(target_table['RA'][j])) print('DEC: {}'.format(target_table['DEC'][j])) print('Epoch: 2000') print('T0 (BJD): {}'.format(T0.jd)) print('Period: {}'.format(P)) print('Transit width (hr): {}'.format( target_table['width'][j])) print('-' * len(message)) print('\n') for i in transits: # currently transit times are in BJD (need to convert to HJD to check ltt_helio = i.light_travel_time(star_coordinates, 'barycentric', location=observation_site) ii = i - ltt_helio ltt_helio = ii.light_travel_time(star_coordinates, 'heliocentric', location=observation_site) ii = ii + ltt_helio transit_1 = i - transit_half_width - TimeDelta( 7200, format='sec') # ingress - 2 hr transit_2 = i - transit_half_width - TimeDelta( 3600, format='sec') # ingress - 2 hr transit_3 = i - transit_half_width # ingress transit_4 = i + transit_half_width # egress transit_5 = i + transit_half_width + TimeDelta( 3600, format='sec') # ingress - 2 hr transit_6 = i + transit_half_width + TimeDelta( 7200, format='sec') # ingress - 2 hr if (((i.jd - time.jd) / P) - np.floor( (i.jd - time.jd) / P) < 0.1) or (( (i.jd - time.jd) / P) - np.floor( (i.jd - time.jd) / P) > 0.9): print('Primary Transit:') print('-' * len('Primary Transit')) if 0.4 < ((i.jd - time.jd) / P) - np.floor( (i.jd - time.jd) / P) < 0.6: print('Secondary Transit') print('-' * len('Secondary Transit')) ################## # now get sirmass ################## altaz = star_coordinates.transform_to( AltAz(obstime=transit_1, location=observation_site)) hourangle = observation_handle1.target_hour_angle( transit_1, star_coordinates) hourangle = 24 * hourangle.degree / 360 if hourangle > 12: hourangle -= 24 print('Ingress - 2hr (U.T.C):\t\t\t\t\t' + transit_1.utc.datetime.ctime() + '\tAirmass: {:.2f}\tHA:{:.2f}'.format( altaz.secz, hourangle)) altaz = star_coordinates.transform_to( AltAz(obstime=transit_2, location=observation_site)) hourangle = observation_handle1.target_hour_angle( transit_2, star_coordinates) hourangle = 24 * hourangle.degree / 360 if hourangle > 12: hourangle -= 24 print('Ingress - 1hr (U.T.C):\t\t\t\t\t' + transit_2.utc.datetime.ctime() + '\tAirmass: {:.2f}\tHA:{:.2f}'.format( altaz.secz, hourangle)) altaz = star_coordinates.transform_to( AltAz(obstime=transit_3, location=observation_site)) hourangle = observation_handle1.target_hour_angle( transit_3, star_coordinates) hourangle = 24 * hourangle.degree / 360 if hourangle > 12: hourangle -= 24 print('Ingress (U.T.C):\t\t\t\t\t' + transit_3.utc.datetime.ctime() + '\tAirmass: {:.2f}\tHA:{:.2f}'.format( altaz.secz, hourangle)) altaz = star_coordinates.transform_to( AltAz(obstime=i, location=observation_site)) hourangle = observation_handle1.target_hour_angle( i, star_coordinates) hourangle = 24 * hourangle.degree / 360 if hourangle > 12: hourangle -= 24 print('Mid transit (U.T.C):\t\t\t\t\t' + i.utc.datetime.ctime() + '\tAirmass: {:.2f}\tHA:{:.2f}'.format( altaz.secz, hourangle)) altaz = star_coordinates.transform_to( AltAz(obstime=transit_4, location=observation_site)) hourangle = observation_handle1.target_hour_angle( transit_4, star_coordinates) hourangle = 24 * hourangle.degree / 360 if hourangle > 12: hourangle -= 24 print('Egress (U.T.C):\t\t\t\t\t\t' + transit_4.utc.datetime.ctime() + '\tAirmass: {:.2f}\tHA:{:.2f}'.format( altaz.secz, hourangle)) altaz = star_coordinates.transform_to( AltAz(obstime=transit_5, location=observation_site)) hourangle = observation_handle1.target_hour_angle( transit_5, star_coordinates) hourangle = 24 * hourangle.degree / 360 if hourangle > 12: hourangle -= 24 print('Egress + 1hr (U.T.C):\t\t\t\t\t' + transit_5.utc.datetime.ctime() + '\tAirmass: {:.2f}\tHA:{:.2f}'.format( altaz.secz, hourangle)) altaz = star_coordinates.transform_to( AltAz(obstime=transit_6, location=observation_site)) hourangle = observation_handle1.target_hour_angle( transit_6, star_coordinates) hourangle = 24 * hourangle.degree / 360 if hourangle > 12: hourangle -= 24 print('Egress + 2hr (U.T.C):\t\t\t\t\t' + transit_6.utc.datetime.ctime() + '\tAirmass: {:.2f}\tHA:{:.2f}'.format( altaz.secz, hourangle)) print('HJD {} (to check with http://var2.astro.cz/)\n'. format(ii.jd)) # append stuff for plots plot_mids.append(i) # astropy Time plot_names.append(target_table['target'][j]) plot_widths.append(target_table['width'][j]) # Now plot plt.close() if len(plot_mids) == 0: continue date_formatter = dates.DateFormatter('%H:%M') #ax.xaxis.set_major_formatter(date_formatter) # now load dummy transit lightcurves xp, yp = np.load('lc.npy') xs, ys = np.load('lcs.npy') # x = np.linspace(0, 2*np.pi, 400) # y = np.sin(x**2) subplots_adjust(hspace=0.000) number_of_subplots = len( plot_names) # number of targets transiting that night time = sun_set + np.linspace(-1, 14, 100) * u.hour # take us to sunset for i, v in enumerate(xrange(number_of_subplots)): # exctract params width = plot_widths[v] name = plot_names[v] mid = plot_mids[v] # now set up dummy lc plot x_tmp = mid + xp * (width / 2) * u.hour # get right width in hours # now set up axis v = v + 1 ax1 = subplot(number_of_subplots, 1, v) ax1.xaxis.set_major_formatter(date_formatter) if v == 1: ax1.set_title(start) # plot transit model ax1.plot_date(x_tmp.plot_date, ys, 'k-') # plot continuum #xx =time.plot_date #xx = [uu for uu in xx if (uu<min(x_tmp.plot_date)) or (uu>max(x_tmp.plot_date))] #ax1.plot_date(xx, np.ones(len(xx)),'k--', alpha=0.3) ax1.set_xlim(min(time.plot_date), max(time.plot_date)) #ax1.plot_date(mid.plot_date, 0.5, 'ro') plt.setp(ax1.get_xticklabels(), rotation=30, ha='right') ax1.set_ylabel(name, rotation=45, labelpad=20) twilights = [ (sun_set.datetime, 0.0), (twilight_evening_civil.datetime, 0.1), (twilight_evening_nautical.datetime, 0.2), (twilight_evening_astronomical.datetime, 0.3), (twilight_morning_astronomical.datetime, 0.4), (twilight_morning_nautical.datetime, 0.3), (twilight_morning_civil.datetime, 0.2), (sun_rise.datetime, 0.1), ] for ii, twii in enumerate(twilights[1:], 1): ax1.axvspan(twilights[ii - 1][0], twilights[ii][0], ymin=0, ymax=1, color='grey', alpha=twii[1]) ax1.grid(alpha=0.5) ax1.get_yaxis().set_ticks([]) if v != number_of_subplots: ax1.get_xaxis().set_ticks([]) plt.xlabel('Time [U.T.C]') #plt.tight_layout() #plt.savefig('test.eps',format='eps') plt.show()