def test_horizons(self):
import horizons
target = 'C/2013 S1'
target = 'C/2011 L4'
spkFilename, spiceId, status = horizons.gomain(target)
spice.furnsh(spkFilename)
self.kernels += [spkFilename]
target_ = '_'.join(target.split())
et0 = spice.utc2et('2013-01-10T12:00:00')
ls2au = spice.convrt(spice.clight(), 'KM', 'AU')
dpr = spice.dpr()
spd = spice.spd()
deltatime = None
while deltatime is None or abs(deltatime) > 5e-7:
stS2I, lsS2I = spice.spkgeo(spiceId, et0, 'J2000', 10)
posn, veloc = stS2I[:3], stS2I[3:]
deltatime = -spice.vdot(posn, veloc) / spice.vdot(veloc, veloc)
et0 += deltatime
valarrs = []
print((
deltatime,
spice.et2utc(et0, 'ISOC', 3),
))
deltatime = 1.0
sixmonths = spice.pi() * 1e7
while deltatime < sixmonths:
for pmdet in (-deltatime, deltatime):
et = et0 + pmdet
utc = spice.et2utc(et, 'ISOC', 1)
stD2I, lsD2I = spice.spkgeo(spiceId, et, 'J2000', -140)
stI2S, lsI2S = spice.spkgeo(10, et, 'J2000', spiceId)
stD2S, lsD2S = spice.spkgeo(10, et, 'J2000', -140)
rD2I, rI2S = [ls * ls2au for ls in [lsD2I, lsI2S]]
aDIS, aSDI = [
ang * dpr for ang in [
spice.vsep(spice.vminus(stD2I[:3]), stI2S[:-3]),
spice.vsep(stD2S[:3], stD2I[:-3])
]
]
valarrs += [(
et,
pmdet,
rD2I,
rI2S,
aDIS,
aSDI,
utc,
)]
deltatime *= 1.2
valarrs.sort()
for valarr in valarrs:
print('%12.1f %9.3f %9.3f %7.2f %7.2f %s' % valarr[1:])
days = [i[1] / spd for i in valarrs]
titles = [
i % (target_, ) for i in """
Range, %s-DI, AU
Range, %s-Sun, AU
Phase, DI-%s-Sun, deg
Elongation, Sun-DI-%s, deg
""".strip().split('\n')
]
try:
### Moved matplotlib import to here so test runs to here at least
from matplotlib import pyplot as plt
plt.figure(1)
for idx in range(len(titles)):
ordinate = [i[idx + 2] for i in valarrs]
plt.subplot(221 + idx)
plt.plot(days, ordinate)
plt.plot(days, ordinate, '.')
plt.title(titles[idx])
plt.ylabel(titles[idx])
if idx > 1: plt.xlabel('T-Tperi, d')
plt.show()
except:
print("Bypassed, or failed, matplotlib tests")
def test_horizons(self):
import horizons
target = 'C/2013 S1'
target = 'C/2011 L4'
spkFilename,spiceId,status = horizons.gomain(target)
spice.furnsh( spkFilename )
self.kernels += [spkFilename]
target_ = '_'.join( target.split() )
et0 = spice.utc2et( '2013-01-10T12:00:00' )
ls2au = spice.convrt( spice.clight(), 'KM', 'AU' )
dpr = spice.dpr()
spd = spice.spd()
deltatime = None
while deltatime is None or abs(deltatime) > 5e-7:
stS2I,lsS2I = spice.spkgeo( spiceId, et0, 'J2000', 10 )
posn, veloc = stS2I[:3], stS2I[3:]
deltatime = - spice.vdot( posn, veloc ) / spice.vdot( veloc, veloc )
et0 += deltatime
valarrs = [ ]
print( (deltatime,spice.et2utc(et0,'ISOC',3),) )
deltatime = 1.0
sixmonths = spice.pi() * 1e7
while deltatime < sixmonths:
for pmdet in (-deltatime,deltatime):
et = et0 + pmdet
utc = spice.et2utc(et,'ISOC',1)
stD2I,lsD2I = spice.spkgeo( spiceId, et, 'J2000', -140)
stI2S,lsI2S = spice.spkgeo( 10, et, 'J2000', spiceId )
stD2S,lsD2S = spice.spkgeo( 10, et, 'J2000', -140 )
rD2I, rI2S = [ ls * ls2au for ls in [lsD2I,lsI2S] ]
aDIS, aSDI = [ ang * dpr for ang in
[ spice.vsep( spice.vminus(stD2I[:3]), stI2S[:-3] )
, spice.vsep( stD2S[:3], stD2I[:-3] )
]
]
valarrs += [ (et,pmdet,rD2I,rI2S,aDIS,aSDI,utc,) ]
deltatime *= 1.2
valarrs.sort()
for valarr in valarrs:
print( '%12.1f %9.3f %9.3f %7.2f %7.2f %s' % valarr[1:] )
days = [i[1]/spd for i in valarrs]
titles = [ i % (target_,) for i in """
Range, %s-DI, AU
Range, %s-Sun, AU
Phase, DI-%s-Sun, deg
Elongation, Sun-DI-%s, deg
""".strip().split('\n')]
try:
### Moved matplotlib import to here so test runs to here at least
from matplotlib import pyplot as plt
plt.figure(1)
for idx in range(len(titles)):
ordinate = [i[idx+2] for i in valarrs]
plt.subplot( 221+idx )
plt.plot( days, ordinate )
plt.plot( days, ordinate, '.')
plt.title( titles[idx] )
plt.ylabel( titles[idx] )
if idx>1: plt.xlabel( 'T-Tperi, d' )
plt.show()
except:
print( "Bypassed, or failed, matplotlib tests" )
# # create MarsSpicer object
mspice = MarsSpicer()
utc1 = '2011-05-24T00:58:08.402'
utc2 = '2011-05-31T05:01:50.854'
mspice.utc = utc2
mspice.obs = 'MRO'
mspice.instrument = 'MRO_HIRISE'
mspice.set_spoint_by('sincpt')
phase = np.zeros_like(dem.data)
emissions = []
incidences = []
rev_srfvec = spice.vminus(mspice.srfvec)
for sample in xrange(phase.shape[0]):
if sample % 10 == 0:
print('Sample {0}'.format(sample))
for line in xrange(phase.shape[1]):
slope = float(slopes.data[sample, line])
aspect = float(aspects.data[sample, line])
# newPoint = Point(sample, line)
# newPoint.pixel_to_lonlat(dem.geotransform, dem.projection)
# mspice.set_spoint_by(lat = newPoint.lat, lon = newPoint.lon)
mspice.tilt = slope
mspice.aspect = aspect
trnormal = mspice.tilted_rotated_normal
incidence = spice.vsep(trnormal, mspice.sun_direction)
emission = spice.vsep(trnormal, rev_srfvec)
