def transitVisibilityPlot(allData, markTransit=False, plotLegend=True, showMoonDist=True, print2file=False):
"""
Plot the visibility of transits.
This function can conveniently be used with the output of
the transitTimes function.
Parameters
----------
allData : dictionary
Essentially the output of `transitTimes`.
A dictionary mapping consecutive numbers (one per transit) to
another dictionary providing the following keys:
============ ====================================================
Key Description
------------ ----------------------------------------------------
Planet name Name of the planet
Transit jd (Only if `markTransit is True)
Array giving JD of start, mid-time, and end of
transit.
Obs jd Array specifying the HJD of the start, center and
end of the observation.
Obs cal Equivalent to 'Obs jd', but in the form of the
calendar date. In particular, for each date, a list
containing [Year, month, day, fractional hours]
is given.
Obs coord East longitude [deg], latitude [deg], and
altitude [m] of the observatory.
Star ra Right ascension of the star [deg].
Star dec Declination of the star [deg].
============ ====================================================
.. note:: To use the list created by transitTimes, the LONGITUDE and LATITUDE
of the observatory location must have been specified.
markTransit : boolean, optional
If True (default is False), the in-transit times will
be clearly indicated in the plot.
Note that this would not be the case otherwise, which is particularly
important if extra off-transit time before and after the transit has been
requested.
showMoonDist : boolean, optional
If True (default), the Moon distance will be shown.
print2file : boolean, optional
If True, the plot will be dumped to a png-file named:
"transitVis-"[planetName].png. The default is False.
"""
from PyAstronomy.pyasl import _ic
if not _ic.check["matplotlib"]:
raise(PE.PyARequiredImport("matplotlib is not installed.", \
where="transitVisibilityPlot", \
solution="Install matplotlib (http://matplotlib.org/)"))
import matplotlib
import matplotlib.pylab as plt
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
if len(allData.keys()) == 0:
raise(PE.PyAValError("Input dictionary is empty", \
where="transitVisibilityPlot", \
solution=["Use `transitTimes` to generate input dictionary",
"Did you forget to supply observer's location?", \
"If you used `transitTime`, you might need to change the call argument (e.g., times)"]))
# Check whether all relevant data have been specified
reqK = ["Obs jd", "Obs coord", "Star ra", "Star dec", "Obs cal", "Planet name"]
if markTransit:
reqK.append("Transit jd")
missingK = []
for k in reqK:
if not k in allData[1].keys():
missingK.append(k)
if len(missingK) > 0:
raise(PE.PyAValError("The following keys are missing in the input dictionary: " + ', '.join(missingK), \
where="transitVisibilityPlot", \
solution="Did you specify observer's location in `transitTimes`?"))
fig = plt.figure(figsize=(15,10))
fig.subplots_adjust(left=0.07, right=0.8, bottom=0.15, top=0.88)
ax = host_subplot(111)
font0 = FontProperties()
font1 = font0.copy()
font0.set_family('sans-serif')
font0.set_weight('light')
font1.set_family('sans-serif')
font1.set_weight('medium')
for n in allData.keys():
# JD array
jdbinsize = 1.0/24./10.
jds = np.arange(allData[n]["Obs jd"][0], allData[n]["Obs jd"][2], jdbinsize)
# Get JD floating point
jdsub = jds - np.floor(jds[0])
# Get alt/az of object
altaz = eq2hor.eq2hor(jds, np.ones(jds.size)*allData[n]["Star ra"], np.ones(jds.size)*allData[n]["Star dec"], \
lon=allData[n]["Obs coord"][0], lat=allData[n]["Obs coord"][1], \
alt=allData[n]["Obs coord"][2])
# Get alt/az of Sun
sunpos_altaz = eq2hor.eq2hor(jds, np.ones(jds.size)*allData[n]["Sun ra"], np.ones(jds.size)*allData[n]["Sun dec"], \
lon=allData[n]["Obs coord"][0], lat=allData[n]["Obs coord"][1], \
alt=allData[n]["Obs coord"][2])
# Define plot label
plabel = "[%02d] %02d.%02d.%4d" % (n, allData[n]["Obs cal"][0][2], \
allData[n]["Obs cal"][0][1], allData[n]["Obs cal"][0][0])
# Find periods of: day, twilight, and night
day = np.where( sunpos_altaz[0] >= 0. )[0]
twi = np.where( np.logical_and(sunpos_altaz[0] > -18., sunpos_altaz[0] < 0.) )[0]
night = np.where( sunpos_altaz[0] <= -18. )[0]
if (len(day) == 0) and (len(twi) == 0) and (len(night) == 0):
print
print "transitVisibilityPlot - no points to draw for date %2d.%2d.%4d" \
% (allData[n]["Obs cal"][0][2], allData[n]["Obs cal"][0][1], allData[n]["Obs cal"][0][0])
print "Skip transit and continue with next"
print
continue
mpos = moonpos(jds)
mpha = moonphase(jds)
mpos_altaz = eq2hor.eq2hor(jds, mpos[0], mpos[1], lon=allData[n]["Obs coord"][0], \
lat=allData[n]["Obs coord"][1], alt=allData[n]["Obs coord"][2])
moonind = np.where( mpos_altaz[0] > 0. )[0]
if showMoonDist:
mdist = getAngDist(mpos[0], mpos[1], np.ones(jds.size)*allData[n]["Star ra"], \
np.ones(jds.size)*allData[n]["Star dec"])
bindist = int((2.0/24.)/jdbinsize)
firstbin = np.random.randint(0,bindist)
for mp in range(0, int(len(jds)/bindist)):
bind = firstbin+float(mp)*bindist
ax.text(jdsub[bind], altaz[0][bind]-1., str(int(mdist[bind]))+r"$^\circ$", ha="center", va="top", \
fontsize=8, stretch='ultra-condensed', fontproperties=font0, alpha=1.)
if markTransit:
# Mark points within transit. These may differ from that pertaining to the
# observation if an extra offset was given to provide off-transit time.
transit_only_ind = np.where( np.logical_and(jds >= allData[n]["Transit jd"][0], \
jds <= allData[n]["Transit jd"][2]) )[0]
ax.plot( jdsub[transit_only_ind], altaz[0][transit_only_ind], 'g', linewidth=6, alpha=.3)
if len(twi) > 1:
# There are points in twilight
linebreak = np.where( (jdsub[twi][1:]-jdsub[twi][:-1]) > 2.0*jdbinsize)[0]
if len(linebreak) > 0:
plotrjd = np.insert(jdsub[twi], linebreak+1, np.nan)
plotdat = np.insert(altaz[0][twi], linebreak+1, np.nan)
ax.plot( plotrjd, plotdat, "-", color='#BEBEBE', linewidth=1.5)
else:
ax.plot( jdsub[twi], altaz[0][twi], "-", color='#BEBEBE', linewidth=1.5)
ax.plot( jdsub[night], altaz[0][night], 'k', linewidth=1.5, label=plabel)
ax.plot( jdsub[day], altaz[0][day], color='#FDB813', linewidth=1.5)
altmax = np.argmax(altaz[0])
ax.text( jdsub[altmax], altaz[0][altmax], str(n), color="b", fontsize=14, \
fontproperties=font1, va="bottom", ha="center")
if n == 29:
ax.text( 1.1, 1.0-float(n)*0.04, "too many transits", ha="left", va="top", transform=ax.transAxes, \
fontsize=10, fontproperties=font0, color="r")
else:
ax.text( 1.1, 1.0-float(n)*0.04, plabel, ha="left", va="top", transform=ax.transAxes, \
fontsize=12, fontproperties=font0, color="b")
ax.text( 1.1, 1.03, "Start of observation", ha="left", va="top", transform=ax.transAxes, \
fontsize=12, fontproperties=font0, color="b")
ax.text( 1.1, 1.0, "[No.] Date", ha="left", va="top", transform=ax.transAxes, \
fontsize=12, fontproperties=font0, color="b")
axrange = ax.get_xlim()
ax.set_xlabel("UT [hours]")
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
ax.set_xticks(jdhours)
ax.set_xlim(axrange)
ax.set_xticklabels(utchours, fontsize=18)
# Make ax2 responsible for "top" axis and "right" axis
ax2 = ax.twin()
# Set upper x ticks
ax2.set_xticks(jdhours)
ax2.set_xticklabels(utchours, fontsize=18)
ax2.set_xlabel("UT [hours]")
# Horizon angle for airmass
airmass_ang = np.arange(5.,90.,5.)
geo_airmass = airmass.airmassPP(90.-airmass_ang)
ax2.set_yticks(airmass_ang)
airmassformat = []
for t in range(geo_airmass.size):
airmassformat.append("%2.2f" % geo_airmass[t])
ax2.set_yticklabels(airmassformat, rotation=90)
ax2.set_ylabel("Relative airmass", labelpad=32)
ax2.tick_params(axis="y", pad=10, labelsize=10)
plt.text(1.015,-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', 25))
ax22.spines['right'].set_color('k')
ax22.spines['right'].set_visible(True)
airmass2 = np.array(map(lambda ang: airmass.airmassSpherical(90. - ang, allData[n]["Obs coord"][2]), \
airmass_ang))
ax22.set_yticks(airmass_ang)
airmassformat = []
for t in range(airmass2.size): airmassformat.append("%2.2f" % airmass2[t])
ax22.set_yticklabels(airmassformat, rotation=90)
ax22.tick_params(axis="y", pad=10, labelsize=10)
plt.text(1.045,-0.04, "Spherical+Alt", transform=ax.transAxes, ha='left', va='top', \
fontsize=10, rotation=90)
ax3 = ax.twiny()
ax3.set_frame_on(True)
ax3.patch.set_visible(False)
ax3.xaxis.set_ticks_position('bottom')
ax3.xaxis.set_label_position('bottom')
ax3.spines['bottom'].set_position(('outward', 50))
ax3.spines['bottom'].set_color('k')
ax3.spines['bottom'].set_visible(True)
ltime, ldiff = localtime.localTime(utchours, np.repeat(allData[n]["Obs coord"][0], len(utchours)))
jdltime = jdhours - ldiff/24.
ax3.set_xticks(jdltime)
ax3.set_xticklabels(utchours)
ax3.set_xlim([axrange[0],axrange[1]])
ax3.set_xlabel("Local time [hours]")
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=20)
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.yaxis.grid(color='gray', linestyle='dashed')
ax.yaxis.grid(color='gray', which="minor", linestyle='dotted')
ax2.xaxis.grid(color='gray', linestyle='dotted')
plt.text(0.5,0.95,"Transit visibility of "+allData[n]["Planet name"], \
transform=fig.transFigure, ha='center', va='bottom', fontsize=20)
if plotLegend:
line1 = matplotlib.lines.Line2D((0,0),(1,1), color='#FDB813', linestyle="-", linewidth=2)
line2 = matplotlib.lines.Line2D((0,0),(1,1), color='#BEBEBE', linestyle="-", linewidth=2)
line3 = matplotlib.lines.Line2D((0,0),(1,1), color='k', linestyle="-", linewidth=2)
line4 = matplotlib.lines.Line2D((0,0),(1,1), color='g', linestyle="-", linewidth=6, alpha=.3)
if markTransit:
lgd2 = plt.legend((line1,line2,line3, line4),("day","twilight","night","transit",), \
bbox_to_anchor=(0.88, 0.15), loc=2, borderaxespad=0.,prop={'size':12}, fancybox=True)
else:
lgd2 = plt.legend((line1,line2,line3),("day","twilight","night",), \
bbox_to_anchor=(0.88, 0.13), loc=2, borderaxespad=0.,prop={'size':12}, fancybox=True)
lgd2.get_frame().set_alpha(.5)
targetco = r"Target coordinates: (%8.4f$^\circ$, %8.4f$^\circ$)" % \
(allData[n]["Star ra"], allData[n]["Star dec"])
obsco = "Obs coord.: (%8.4f$^\circ$, %8.4f$^\circ$, %4d m)" % \
(allData[n]["Obs coord"][0], allData[n]["Obs coord"][1], allData[n]["Obs coord"][2])
plt.text(0.01,0.97, targetco, transform=fig.transFigure, ha='left', va='center', fontsize=10)
plt.text(0.01,0.95, obsco, transform=fig.transFigure, ha='left', va='center', fontsize=10)
if print2file:
outfile = "transVis-"+allData[n]["Planet name"].replace(" ", "")+".png"
plt.savefig(outfile, format="png", dpi=300)
else:
plt.show()
def transitTimes(tmin, tmax, planetData, obsOffset=0., hjd=True, \
observatory=None, lon=None, lat=None, alt=None, minAltitude=None, \
showTwilight="all", moonDist=None, nexaInput=False, fileOutput=None):
"""
Calculate transit times for a given planet and a given period of time.
The `planetData` dictionary must contain the following information:
======= =================================
Key Value
------- ---------------------------------
ra Right ascension of object [deg]
dec Declination of object [deg]
T0 Time reference point (HJD)
orbPer Orbital period [d]
orbInc Orbital inclination [deg]
SMA Semi-major axis [AU]
RpJ Planetary radius [Jovian radii]
RsSun Stellar Radius [solar]
Tdur OPTIONAL, Transit duration [d]
======= =================================
If the transit duration (Tdur) is not given, the duration will
be estimated using pyasl's `transitDuration` function.
.. note:: The input times (`tmin` and `tmax`) are expected in JD (UT).
Input time will be calculated to HJD.
Time output is in HJD.
Parameters
----------
tmin : float
Start of time interval in Julian days (UT).
tmax : float
End of time interval in Julian days (UT).
planetData: dictionary
A dictionary containing the parameters of the exoplanet
for which the transit times should be calculated.
The required keys are specified above.
obs_offset : float, optional
Specifies additional time before AND after the transit in DAYS.
This is useful if the observation should start and end
some time before and after the actual transit.
hjd : boolean, optional
If True (default), the given Julian dates specifying the time
interval (`tmin` and `tmax`) are automatically
converted into the heliocentric frame (HJD).
observatory : string, optional
If given, pyasl's `observatory` function will be used to automatically
resolve the name and obtain longitude, latitude, and altitude
of the observatory.
If `observatory` is given, `lon`, `lat`, and `alt` must not be specified.
lon : float, optional
East longitude of the observatory given in DEGREES.
Longitude is positive in EASTWARD direction.
If LON is not given, transitTimes will only return beginning and end
of the observation and the time of mid transit.
lat : float, optional
Latitude of the observatory given in DEGREES
(positive in NORTHWARD direction).
alt : float, optional
Altitude of the observatory given in METER.
minAltitude : float, optional
Minimum altitude of the object in DEGREES.
If a minimum altitude is given, only transits for which the
object is above the given altitude during the ENTIRE
observation are included in the list
created by `transitTimes`. Note that `minAltitude` can
only be used if the observer's location has been specified
either via `observatory` or via `lon`, `lat`, and `alt`.
showTwilight : string, optional, {"all", "civil", "nautical", "astronomical", "night"}
Specifies the twilight acceptable during the observation.
By default all twilight conditions are acceptable.
Only the transits for which the ENTIRE observation
occurs during the specified or darker twilight conditions
are listed.
The choices are:
- "all": all transits are shown (even during day)
- "civil": only transits during civil twilight and better are shown
- "nautical": only transits during nautical twilight and better are shown
- "astronomical": only transits during astronomical twilight and better are shown
- "night": only transits during night are shown
Note that this can only have an effect, if the observer's location is
specified.
moonDist : float
Minimum distance between the Moon and the target in DEGREES.
By default all Moon distances are acceptable (moonDist=0.0).
Only observations are listed for which the angular distance between
the Moon and the target is larger
than `moonDist` during the ENTIRE observation.
Note that this can only have an effect, if the observer's location is
specified.
fileOutput : string or file, optional
If a string is given, a file with the name will be created
and the output will be written to that file. If a (writable)
file object is given, the output will be written to that
file. In both cases, no output will be given on screen.
Returns
-------
Transit times : dictionary
Returns a dictionary containing the transit details. The dictionary key
is a running number (starting with one), which is equivalent to that
listed in the first column of the table.
For each transit, the function returns a dictionary with the transit
details.
If the observer's location was not specified, the dictionary has the
following keys:
============ ====================================================
Key Description
------------ ----------------------------------------------------
Planet name Name of the planet
Tmid HJD of transit center
Transit jd Array giving JD of start, mid-time, and end of
transit.
Obs jd Array specifying the HJD of the start, center and
end of the observation.
Obs cal Equivalent to 'Obs jd', but in the form of the
calendar date. In particular, for each date, a list
containing [Year, month, day, fractional hours]
is given.
**Below follows optional output only present**
**if the observer's location is known**
Obs coord East longitude [deg], latitude [deg], and
altitude [m] of the observatory.
Sun ra Right ascension of the Sun at center of
observation.
Sun dec Declination of the Sun at center of
observation.
Sun alt Altitude of the Sun [deg] at begin, center, and
end of the observation.
Sun az Azimuth if the Sun [deg] at begin, center, and
end of the observation.
Moon phase Array giving lunar phase (in percent) at start,
center, and end of the observation.
Moon AD Angular distance between the target and the Moon
at begin, center, and end of the observation [deg].
Moon ra Right ascension of the Moon at begin, center, and
end of the observation [deg].
Moon dec Declination of the Moon at begin, center, and
end of the observation [deg].
Star ra Right ascension of the star [deg].
Star dec Declination of the star [deg].
Star CP Cardinal point of the star at begin, center, and
end of the observation.
Star alt Altitude of the star [deg] at begin, center, and
end of the observation.
Star az Azimuth of the star [deg] at begin, center, and
end of the observation.
Twilight The worst, i.e., brightest type of twilight
encountered during the observation.
============ ====================================================
"""
if fileOutput is not None:
oldStdout = sys.stdout
if isinstance(fileOutput, basestring):
sys.stdout = open(fileOutput, 'w')
else:
sys.stdout = fileOutput
try:
if tmin >= tmax:
raise(PE.PyAValError("The given time range is inconsistent (tmin >= tmax)", \
where="transitTimes", \
solution="Adapt tmin and tmax."))
# Copy input dictionary, because it may be changed
planetData = planetData.copy()
if nexaInput:
pdin = planetData.copy()
planetData = {}
planetData["ra"] = pdin["ra"]
planetData["dec"] = pdin["dec"]
planetData["orbPer"] = pdin["pl_orbper"]
planetData["T0"] = pdin["pl_tranmid"]
planetData["orbInc"] = pdin["pl_orbincl"]
planetData["SMA"] = pdin["pl_orbsmax"]
planetData["RpJ"] = pdin["pl_radj"]
planetData["RsSun"] = pdin["st_rad"]
planetData["Tdur"] = pdin["pl_trandur"]
planetData["plName"] = pdin["pl_name"]
if np.isnan(planetData["Tdur"]):
del planetData["Tdur"]
# Check whether required keys are present
reke = ["ra", "dec", "orbPer", "T0", "orbInc", "SMA", "RpJ", "RsSun", "plName"]
msg = ""
fail = False
for key in reke:
if (not key in planetData):
msg += "The required key '" + key + "' is missing in the input data!\n"
fail = True
continue
if isinstance(planetData[key], (int, long, float)):
if np.isnan(planetData[key]):
msg += "The required key '" + key + "' has NaN value in the input data\n!"
fail = True
if fail:
raise(PE.PyAValError("The input `planetData` is inappropriate:\n" + msg, \
where="transitTimes", \
solution="Specify all required input values."))
# Object position [degrees]
ra = planetData["ra"]
dec = planetData["dec"]
if hjd:
# Convert input times into heliocentric frame
tmin = helio_jd(tmin, ra, dec)
tmax = helio_jd(tmax, ra, dec)
print "Specified time span"
print "Start date (DDDD-MM-YY and fractional hours): {0:4d}-{1:02d}-{2:02d} {3:6.3f}".format(*daycnv(tmin))
print "End date (DDDD-MM-YY and fractional hours): {0:4d}-{1:02d}-{2:02d} {3:6.3f}".format(*daycnv(tmax))
print
# Transit parameters
# Orbital period in days
period = planetData["orbPer"]
# Transit reference time (should be HJD)
T0 = planetData["T0"]
if not "Tdur" in planetData:
# No duration specified in the data
inc = planetData["orbInc"] # deg
sma = planetData["SMA"] # au
rp = planetData["RpJ"] # Mjup
rs = planetData["RsSun"] # Msun
dur = transitDuration(sma, rp, rs, inc, period)
print "Estimating transit duration using orbital inclination, semi-major axis,"
print " planetary radius, and stellar radius"
else:
dur = planetData["Tdur"]
print "Transit duration: ", dur*24.*60., " minutes"
print "Off-transit time before and after transit: ", obsOffset*24.*60., " minutes"
# First and last epoch contained in specified range
trnum_start = np.floor( (tmin - T0)/period )
trnum_end = np.ceil( (tmax - T0)/period )
# Relevant transit epochs
tr = np.arange( trnum_start, trnum_end, 1)
if (observatory is not None) and \
((lon is not None) or (lat is not None) or (alt is not None)):
raise(PE.PyAParameterConflict("You must either specify `observatory` OR `lon`, `lat`, and `alt`.", \
where="transitTimes", \
solution="Adapt function call."))
if observatory is not None:
# Resolve observatory string
observatory_data = pyaobs.observatory(observatory)
lon = observatory_data["longitude"]
lat = observatory_data["latitude"]
alt = observatory_data["altitude"]
# Check if the observatory data are complete
obsCompl = (lon is None) + (lat is None) + (alt is None)
if (obsCompl == 1) or (obsCompl == 2):
raise(PE.PyAValError("Observatory data is incomplete. `lon`, `lat`, and `alt` must all be specified.\n" + \
"Current values are: lon = " + str(lon) + ", lat = " + str(lat) + ", alt = " + str(alt), \
where="transitTimes", \
solution="Provide complete observatory information."))
if (minAltitude is not None) and (lon is None):
# Observer's location not given so minAltitude cannot have any effect
raise(PE.PyAParameterConflict("The observer's location is not specified, but `minAltitude` is given.\n" + \
"This parameter can only be used, if the observer's location is known.", \
where="transitTimes", \
solution="Either specify the observer's location or set `minAltitude` to None."))
if (showTwilight != "all") and (lon is None):
# Observer's location not given so showTwilight cannot have any effect
raise(PE.PyAParameterConflict("The observer's location is not specified, but `showTwilight` is given.\n" + \
"This parameter can only be used, if the observer's location is known.", \
where="transitTimes", \
solution="Either specify the observer's location or set `showTwilight` to \"all\"."))
if (showTwilight != "all") and (showTwilight != "civil") and (showTwilight != "nautical") and \
(showTwilight != "astronomical") and (showTwilight != "night"):
# None of the possible choices for showTwilight have been used.
raise(PE.PyAValError("Wrong keyword given for showTwilight.\n" + \
"Current keyword is " + showTwilight, \
where="transitTimes", \
solution="Select a valid keyword for showTwilight: `all', `civil', `nautical', `astronomical', or `night'."))
if moonDist is None:
# No limit on Moon distance
moonDist = 0.0
if (moonDist != 0.0) and (lon is None):
# Observer's location not given so showTwilight cannot have any effect
raise(PE.PyAParameterConflict("The observer's location is not specified, but `moonDist` is given.\n" + \
"This parameter can only be used, if the observer's location is known.", \
where="transitTimes", \
solution="Either specify the observer's location or set `moonDist` to 0.0 or None."))
if moonDist < 0.0:
# Moon distance below zero does not make sense
PE.warn("The specified `moonDist' is below zero ("+str(moonDist)+") which does not make sense.\n"+\
"It was changed to 0.0.\n"+\
"Please use a value >= 0.0 or None if specifying `moonDist'.")
print
if np.logical_and(lon != None, lat != None):
print "No. Tmid [HJD] Obs. start [UT] [ALT, DIR(AZI)] Transit mid [UT] [ALT, DIR(AZI)] Obs. end [UT] [ALT, DIR(AZI)] twilight"+\
" (SUN ALT) moon distance moon phase"
else:
print "No. Tmid [HJD] Obs. start [UT] Transit mid [UT] Obs. end [UT]"
allData = {}
trcounter = 1
for i in tr:
trData = {}
# Get times
Tmid = T0 + float(i)*period
obs_start_hjd = Tmid - (dur/2.0) - obsOffset
obs_start = daycnv(obs_start_hjd)
obs_mid = daycnv(Tmid)
obs_end_hjd = Tmid + (dur/2.0) + obsOffset
obs_end = daycnv(obs_end_hjd)
time_temp = np.array([obs_start_hjd, Tmid, obs_end_hjd])
transit_only = np.array([Tmid - (dur/2.0), Tmid, Tmid + (dur/2.0)])
# Get visibility
if (lon is not None) and (lat is not None):
# Get alt/az of object for current transit
altaz = eq2hor.eq2hor(time_temp, np.ones(time_temp.size)*ra, \
np.ones(time_temp.size)*dec, lon=lon, lat=lat, alt=alt)
# If minimum altitude is not fulfilled during observation,
# do not show transit
if minAltitude is not None:
minalt = np.where(altaz[0] >= minAltitude)[0]
if len(minalt) < time_temp.size:
# Skip this transit
continue
# Get Sun position for current transit
sunpos_radec = sunpos.sunpos(time_temp[1])
sunpos_altaz = eq2hor.eq2hor(time_temp, np.ones(time_temp.size)*sunpos_radec[1], \
np.ones(time_temp.size)*sunpos_radec[2], \
lon=lon, lat=lat, alt=alt)
twi = twilight.twilightName(max(sunpos_altaz[0]))
# Check type of twilight -> if requirement not fulfilled, don't show transit
if showTwilight == "civil":
# Show civil or better
if twi == "day": continue
if showTwilight == "nautical":
# Show nautical or better
if twi == "day": continue
if twi == "civil twilight": continue
if showTwilight == "astronomical":
# Show astronomical or better
if twi == "day": continue
if twi == "civil twilight": continue
if twi == "nautical twilight": continue
if showTwilight == "night":
# Only show night
if twi != "night": continue
# Get Moon position for current transit
mpos = moonpos(time_temp)
mdists = []
for i in range(time_temp.size):
mdists.append(getAngDist(mpos[0][i], mpos[1][i], ra, dec))
mdist = min(mdists)
# Check Moon distance, if not fulfilled, neglect the transit
if mdist < moonDist: continue
# Get lunar phase in percent
moonpha = moonphase(time_temp) * 100.
print "%3d %10.5f %2d.%2d. %2d:%02d [%3d°,%s(%3d°)] %2d.%2d. %2d:%02d [%3d°,%s(%3d°)] %2d.%2d. %2d:%02d [%3d°,%s(%3d°)] %18s (%3d°,%3d°,%3d°) (%3d°,%3d°,%3d°) %3d%%" \
%(trcounter, Tmid, obs_start[2], obs_start[1], np.floor(obs_start[3]), (obs_start[3]-np.floor(obs_start[3]))*60., \
altaz[0][0], getCardinalPoint(altaz[1][0]), altaz[1][0], \
obs_mid[2], obs_mid[1], np.floor(obs_mid[3]), (obs_mid[3]-np.floor(obs_mid[3]))*60., \
altaz[0][1], getCardinalPoint(altaz[1][1]), altaz[1][1], \
obs_end[2], obs_end[1], np.floor(obs_end[3]), (obs_end[3]-np.floor(obs_end[3]))*60., \
altaz[0][2], getCardinalPoint(altaz[1][2]), altaz[1][2], twi, sunpos_altaz[0][0], sunpos_altaz[0][1], sunpos_altaz[0][2], \
mdists[0], mdists[1], mdists[2], np.max(moonpha))
# Save transit data
trData["Tmid"] = Tmid
trData["Obs jd"] = time_temp
trData["Obs cal"] = [obs_start, obs_mid, obs_end]
trData["Star ra"] = ra
trData["Star dec"] = dec
trData["Star alt"] = altaz[0]
trData["Star az"] = altaz[1]
trData["Sun ra"] = sunpos_radec[1]
trData["Sun dec"] = sunpos_radec[2]
trData["Sun alt"] = sunpos_altaz[0]
trData["Sun az"] = sunpos_altaz[1]
trData["Twilight"] = twi
trData["Moon ra"] = mpos[0]
trData["Moon dec"] = mpos[1]
trData["Moon AD"] = mdist
trData["Moon phase"] = moonpha
trData["Star CP"] = [getCardinalPoint(altaz[1][0]), getCardinalPoint(altaz[1][1]), getCardinalPoint(altaz[1][2])]
trData["Obs coord"] = [lon, lat, alt]
else:
# If you do not specify the observer's location, return all transits of the object
print "%3d %10.5f %2d.%2d. %2d:%02d %2d.%2d. %2d:%02d %2d.%2d. %2d:%02d" \
%(trcounter, Tmid, obs_start[2], obs_start[1], np.floor(obs_start[3]), (obs_start[3]-np.floor(obs_start[3]))*60., \
obs_mid[2], obs_mid[1], np.floor(obs_mid[3]), (obs_mid[3]-np.floor(obs_mid[3]))*60., \
obs_end[2], obs_end[1], np.floor(obs_end[3]), (obs_end[3]-np.floor(obs_end[3]))*60. )
trData["Tmid"] = Tmid
trData["Obs jd"] = time_temp
trData["Obs cal"] = [obs_start, obs_mid, obs_end]
trData["Transit jd"] = transit_only
trData["Planet name"] = planetData["plName"]
allData[trcounter] = trData
trcounter += 1
if len(allData.keys()) == 0:
print
print "------------------------------------------------------"
print "!!! No transits found for the given restrictions. !!!"
print "------------------------------------------------------"
print
except:
raise
finally:
if fileOutput is not None:
if isinstance(fileOutput, basestring):
sys.stdout.close()
sys.stdout = oldStdout
return allData