def test_smap(self):
target = 'SMAP'
et0 = spice.utc2et( '2016-06-01T12:00:00' )
dpr = spice.dpr()
a,b,c = [spice.gdpool('BODY399_RADII',i,1)[1] for i in range(3)]
ods = []
for deltatime in [0.1 * i for i in range(1080)]:
et = et0 + deltatime
stSmap,lsSmap = spice.spkezr( target, et, 'IAU_EARTH', 'NONE', 'EARTH' )
posn, veloc = stSmap[:3], stSmap[3:]
stSun,lsSun = spice.spkezr( 'SUN', et0, 'IAU_EARTH', 'LT', 'EARTH' )
mtx = spice.pxform( 'SMAP_REFLECTOR', 'IAU_EARTH', et)
boreEbf = spice.mxv( mtx, [1.0,0,0] )
point = spice.surfpt( posn, boreEbf, a, b, c)
rsurfpt,lon,lat = spice.reclat( point )
utc = spice.et2utc( et, 'ISOC', 3 )
ods += [ OD(deltatime=deltatime,posn=posn,veloc=veloc,boreEbf=boreEbf
,utc=utc,point=point,rsurfpt=rsurfpt
,rsmap=spice.vnorm(posn),lat=lat,lon=lon
,raynge=spice.vnorm(spice.vsub(point,posn))
,sunsep=spice.vsep( spice.ucrss(posn,veloc), stSun[:3] )
)
]
try:
### Moved matplotlib import to here so test runs to here at least
from matplotlib import pyplot as plt
plt.figure(1)
keys = 'lat lon raynge'.split()
secs = [od['deltatime'] for od in ods]
for idx in range(len(keys)):
scal = 1.0 if keys[idx] in 'rsurfpt rsmap raynge sunsep rp ecc t0 mu a P eccmean amean Pmean'.split() else dpr
ordinate = [od[keys[idx]]*scal for od in ods]
plt.subplot( 221+idx )
plt.plot( secs, ordinate )
plt.plot( secs, ordinate, '.')
plt.title( keys[idx] )
plt.ylabel( '%s%s' % (keys[idx],'' if scal==1.0 else ', deg') )
if idx>1: plt.xlabel( 'T-T0, s' )
abscissa = [od['lon']*dpr for od in ods]
ordinate = [od['lat']*dpr for od in ods]
plt.subplot( 221+idx+1 )
plt.title( 'lon vs. lat' )
plt.plot( abscissa, ordinate )
plt.xlabel( 'lon, deg' )
plt.ylabel( 'lat, deg' )
plt.show()
except:
print( "Bypassed, or failed, matplotlib tests" )
Catalog numbers may be omitted to save space if they are monotonically
increasing integers. Proper motions may be omitted if they are not known.
There may be up to 10 magnitudes.
Last updated 24 September 2012 [...]
"""
import os
import sys
import math
import struct
try:
import spice
b2jMtx = spice.pxform('B1950', 'J2000', 0.0)
dpr = spice.dpr()
vdot = spice.vdot
mxv = spice.mxv
recrad = spice.recrad
radrec = spice.radrec
vhat = spice.vhat
vscl = spice.vscl
ucrss = spice.ucrss
vadd = spice.vadd
except:
if "DEBUG" in os.environ:
import traceback
traceback.print_exc()
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")
Catalog numbers may be omitted to save space if they are monotonically
increasing integers. Proper motions may be omitted if they are not known.
There may be up to 10 magnitudes.
Last updated 24 September 2012 [...]
"""
import os
import sys
import math
import struct
try:
import spice
b2jMtx = spice.pxform('B1950','J2000',0.0)
dpr = spice.dpr()
vdot = spice.vdot
mxv = spice.mxv
recrad = spice.recrad
radrec = spice.radrec
vhat = spice.vhat
vscl = spice.vscl
ucrss = spice.ucrss
vadd = spice.vadd
except:
if "DEBUG" in os.environ:
import traceback
traceback.print_exc()
import sys
import spice
rpd, dpr = spice.rpd(), spice.dpr()
if __name__ == "__main__":
spice.furnsh(__file__)
### Earth equatorial and polar radii calculate flattening
re = spice.gdpool('BODY399_RADII', 0, 1)[1]
rp = spice.gdpool('BODY399_RADII', 2, 1)[1]
f = (re - rp) / re
for line in sys.stdin:
### Read one line of input at a time; only use lines that start with data:
if line[:5] != "data:": continue
linestrip = line[5:].strip()
linetoks = linestrip.split() ### Break line into tokens
toms_alt_m, toms_lon_deg, toms_lat_deg, sX, sY, sZ, surf_lon_deg, surf_lat_deg = map(
float, linetoks[:-1])
utc = linetoks[-1]
uvEarth2Sun = spice.vhat((
sX,
sY,
sZ,
def test_smap(self):
target = 'SMAP'
et0 = spice.utc2et('2016-06-01T12:00:00')
dpr = spice.dpr()
a, b, c = [spice.gdpool('BODY399_RADII', i, 1)[1] for i in range(3)]
ods = []
for deltatime in [0.1 * i for i in range(1080)]:
et = et0 + deltatime
stSmap, lsSmap = spice.spkezr(target, et, 'IAU_EARTH', 'NONE',
'EARTH')
posn, veloc = stSmap[:3], stSmap[3:]
stSun, lsSun = spice.spkezr('SUN', et0, 'IAU_EARTH', 'LT', 'EARTH')
mtx = spice.pxform('SMAP_REFLECTOR', 'IAU_EARTH', et)
boreEbf = spice.mxv(mtx, [1.0, 0, 0])
point = spice.surfpt(posn, boreEbf, a, b, c)
rsurfpt, lon, lat = spice.reclat(point)
utc = spice.et2utc(et, 'ISOC', 3)
ods += [
OD(deltatime=deltatime,
posn=posn,
veloc=veloc,
boreEbf=boreEbf,
utc=utc,
point=point,
rsurfpt=rsurfpt,
rsmap=spice.vnorm(posn),
lat=lat,
lon=lon,
raynge=spice.vnorm(spice.vsub(point, posn)),
sunsep=spice.vsep(spice.ucrss(posn, veloc), stSun[:3]))
]
try:
### Moved matplotlib import to here so test runs to here at least
from matplotlib import pyplot as plt
plt.figure(1)
keys = 'lat lon raynge'.split()
secs = [od['deltatime'] for od in ods]
for idx in range(len(keys)):
scal = 1.0 if keys[
idx] in 'rsurfpt rsmap raynge sunsep rp ecc t0 mu a P eccmean amean Pmean'.split(
) else dpr
ordinate = [od[keys[idx]] * scal for od in ods]
plt.subplot(221 + idx)
plt.plot(secs, ordinate)
plt.plot(secs, ordinate, '.')
plt.title(keys[idx])
plt.ylabel('%s%s' %
(keys[idx], '' if scal == 1.0 else ', deg'))
if idx > 1: plt.xlabel('T-T0, s')
abscissa = [od['lon'] * dpr for od in ods]
ordinate = [od['lat'] * dpr for od in ods]
plt.subplot(221 + idx + 1)
plt.title('lon vs. lat')
plt.plot(abscissa, ordinate)
plt.xlabel('lon, deg')
plt.ylabel('lat, deg')
plt.show()
except:
print("Bypassed, or failed, matplotlib tests")
