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)