def producegeometrylamda(et, sv, when):
[TGO, _] = spice.spkpos(sv.front, et - when, sv.fframe, 'NONE', sv.target)
[MEX, _] = spice.spkpos(sv.front, et - when, sv.fframe, 'NONE', sv.obs)
dist = math.floor(spice.vdist(TGO, MEX))
print(dist)
# NEED TO PRODUCE VECTOR OF SZA AND HEIGHTS THAT ARE 'DIST' LONG [13242.9 m] *comp expensive
# start by making DIST length vector, 3 height, for every meter from mex to tgo
# MAYBE FIND THE UNIT VECTOR AND ADD ONE IN ITS DIRECTION!!
angleseparation = (spice.vsep(MEX, TGO)) * (180 / math.pi
) # angle taken a mars center
initialangle = (spice.vsep(-MEX, (TGO - MEX))) * (
180 / math.pi
) # angle taken at mars-MEX-tgo, that points to tgo. needed for the bending functions original starting angle
#script needs to work via periods of ray and not meters. [totalperiods is the main iterable, not meters]
vacuumwavelength = constants.c / 437.1e6
scale = 1 # scale =10, means we are itertating per 100 wavelenghts instead of 1000 (default 1000 because SPICE works in km)
wavelengthsinameter = 1 / vacuumwavelength
a = wavelengthsinameter * dist * scale
total1000periods = math.floor(a) # ~that many thousands of periods
remainingdistance = (vacuumwavelength / scale) * (
(wavelengthsinameter * dist * scale) - total1000periods
) # quanitfy the remaineder, this distance can
# added later, this remaining portion is extreamly high altitude (near Target) and has no refractive effects. therfor simply added (km)
#total1000periods = total1000periods.astype(int)
sc2sc = TGO - MEX
norm = np.linalg.norm(sc2sc)
unitsc2sc = sc2sc / (norm * vacuumwavelength * scale
) #this needs to shrink if the repeatable expands
points = np.empty([3, total1000periods])
sza = np.empty([1, total1000periods])
marsrad = spice.bodvrd(sv.front, 'RADII', 3)
flatteningcoefficient = (marsrad[1][0] - marsrad[1][2]) / marsrad[1][0]
equatorialradii = marsrad[1][0]
# find direction of sun, it will not change much during the occultation. so only calc it once
[SUN, _] = spice.spkpos(sv.front, et, sv.fframe, 'NONE', 'SUN')
for i in range(total1000periods):
point = MEX + (
i * unitsc2sc
) #move along ray, 1000 wavelength distance at a time (685 m). but unitsc2sc is in km...
sza[0, i] = spice.vsep(SUN, point)
points[:, i] = spice.recgeo(point, equatorialradii,
flatteningcoefficient)
points[0, i] = (points[0, i] * (-180 / math.pi))
points[1, i] = (points[1, i] * (-180 / math.pi))
print((i / math.floor(total1000periods)) * 100)
ray = np.concatenate((points, sza), axis=0)
print('stop here')
return ray, dist, angleseparation, initialangle, total1000periods, vacuumwavelength, remainingdistance
def producegeometrymeter(et, sv, when):
[TGO, _] = spice.spkpos(sv.front, et - when, sv.fframe, 'NONE', sv.target)
[MEX, _] = spice.spkpos(sv.front, et - when, sv.fframe, 'NONE', sv.obs)
dist = math.floor(spice.vdist(TGO, MEX))
print(dist)
# NEED TO PRODUCE VECTOR OF SZA AND HEIGHTS THAT ARE 'DIST' LONG [13242.9 m] *comp expensive
# start by making DIST length vector, 3 height, for every meter from mex to tgo
# MAYBE FIND THE UNIT VECTOR AND ADD ONE IN ITS DIRECTION!!
angleseparation = (spice.vsep(MEX, TGO)) # angle taken a mars center
initialangle = (spice.vsep(-MEX, (TGO - MEX))) * (
180 / math.pi
) # angle taken at mars-MEX-tgo, that points to tgo. needed for the bending functions original starting angle
#script needs to work via periods of ray and not meters. [totalperiods is the main iterable, not meters]
scale = 0.1 # scale =10, means we are itertating per 100 wavelenghts instead of 1000 (default 1000 because SPICE works in km)
dist = math.floor(dist) # km
sc2sc = TGO - MEX
norm = np.linalg.norm(sc2sc)
unitsc2sc = sc2sc / norm #this needs to shrink if the repeatable expands
points = np.empty([3, dist])
sza = np.empty([1, dist])
angleprogression = np.empty([1, dist])
xyzpoints = np.zeros([3, dist])
marsrad = spice.bodvrd(sv.front, 'RADII', 3)
flatteningcoefficient = (marsrad[1][0] - marsrad[1][2]) / marsrad[1][0]
equatorialradii = marsrad[1][0]
# find direction of sun, it will not change much during the occultation. so only calc it once
[SUN, _] = spice.spkpos(sv.front, et, sv.fframe, 'NONE', 'SUN')
for i in range(dist):
xyzpoint = MEX + (
i * unitsc2sc
) #move along ray, 1000 wavelength distance at a time (685 m). but unitsc2sc is in km...
xyzpoints[:, i] = xyzpoint
sza[0, i] = spice.vsep(SUN, xyzpoint)
angleprogression[0, i] = (spice.vsep(xyzpoint, MEX)) * (180 / math.pi)
points[:, i] = spice.recgeo(xyzpoint, equatorialradii,
flatteningcoefficient)
points[0, i] = (points[0, i] * (-180 / math.pi))
points[1, i] = (points[1, i] * (-180 / math.pi))
print((i / math.floor(dist)) * 100)
ray = np.concatenate((points, sza), axis=0)
#plt.plot(angleprogression[0,:], ray[2,:])
#plt.show()
# ray is in lat/lon/alt + sza and xyzpoints is cartesian, both describe the same thing
return ray, dist, unitsc2sc, angleseparation, initialangle, MEX, TGO, xyzpoints, angleprogression
def producegeometrymeter(et, sv, when):
[TGO, _] = spice.spkpos(sv.front, et - when, sv.fframe, 'NONE', sv.target)
[MEX, _] = spice.spkpos(sv.front, et - when, sv.fframe, 'NONE', sv.obs)
dist = math.floor(spice.vdist(TGO, MEX))
angleseparation = (spice.vsep(MEX, TGO)) # angle taken a mars center
initialangle = (spice.vsep(-MEX, (TGO - MEX))) * (
180 / math.pi
) # angle taken at mars-MEX-tgo, that points to tgo. needed for the bending functions original starting angle
#script needs to work via periods of ray and not meters. [totalperiods is the main iterable, not meters]
sc2sc = TGO - MEX
norm = np.linalg.norm(sc2sc)
unitsc2sc = sc2sc / norm #this needs to shrink if the repeatable expands
points = np.empty([3, dist])
sza = np.empty([1, dist])
angleprogression = np.empty([1, dist])
xyzpoints = np.zeros([3, dist])
marsrad = spice.bodvrd(sv.front, 'RADII', 3)
flatteningcoefficient = (marsrad[1][0] - marsrad[1][2]) / marsrad[1][0]
equatorialradii = marsrad[1][0]
# find direction of sun, it will not change much during the occultation. so only calc it once
[SUN, _] = spice.spkpos(sv.front, et, sv.fframe, 'NONE', 'SUN')
for i in range(dist):
xyzpoint = MEX + (
i * unitsc2sc
) #move along ray, 1000 wavelength distance at a time (685 m). but unitsc2sc is in km...
xyzpoints[:, i] = xyzpoint
sza[0, i] = spice.vsep(SUN, xyzpoint)
angleprogression[0, i] = (spice.vsep(xyzpoint, MEX)) * (180 / math.pi)
points[:, i] = spice.recgeo(xyzpoint, equatorialradii,
flatteningcoefficient)
points[0, i] = (points[0, i] * (-180 / math.pi))
points[1, i] = (points[1, i] * (-180 / math.pi))
ray = np.concatenate((points, sza),
axis=0) # important for when sza is included
#plt.plot(angleprogression[0,:], ray[2,:])
#plt.show()
# ray is in lat/lon/alt + sza and xyzpoints is cartesian, both describe the same thing
return initialangle, MEX, TGO, xyzpoints
def get_nadir_point_surface_velocity_kps(probe: str,
body: str,
time: datetime,
delta_s: float = 10.0) -> float:
""" Computes surface velocity of nadir point of given probe at given time on given body.
:param probe: SPICE name of probe
:param body: SPICE name of target body
:param time: datetime of computation
:param delta_s: delta time used for computation of derivative
:return: Velocity of nadir point across surface [km/s]
"""
if delta_s <= 0.0:
raise ValueError("delta_s must be positive.")
start = datetime2et(time)
end = datetime2et(time + timedelta(seconds=delta_s))
nadir_points = [
spy.subpnt("INTERCEPT/ELLIPSOID", body, et, f"IAU_{body}", "LT+S",
probe)[0] for et in (start, end)
]
distance = spy.vdist(*nadir_points)
return distance / delta_s
def calculate_body_resolutions(self, data) :
self.resolutions = np.zeros(shape=[data.shape[0] - 1, data.shape[1] - 1])
for (py, px), value in np.ndenumerate(self.resolutions):
lon1 = np.deg2rad(data[py, px, self.map['lon']])
lat1 = np.deg2rad(data[py, px, self.map['lat']])
lon2 = np.deg2rad(data[py + 1, px + 1, self.map['lon']])
lat2 = np.deg2rad(data[py + 1, px + 1, self.map['lat']])
if (np.deg2rad(-1000.0) in [lon1, lat1, lon2, lat2]) : continue
point1 = spice.srfrec(self.target_id, lon1, lat1)
point2 = spice.srfrec(self.target_id, lon2, lat2)
distance = spice.vdist(point1, point2)
if (distance) : self.resolutions[py, px] = distance
# This may not work
try:
ontarget = self.resolutions[np.nonzero(self.resolutions)]
except:
ontarget = [-1000.0]
# if not ontarget: ontarget = [-1000.0]
self.data['res_max'] = np.max(ontarget)
self.data['res_min'] = np.min(ontarget)
self.data['res_avg'] = np.mean(ontarget)
print(self.data['res_avg'])
return self.resolutions
def producegeometrymeter(MEX, TGO):
#maybe completly thin this out, you know this is moslty pointless, what does it actually make
class SpiceVariables:
obs = '-41' # NAIF code for MEX '-74'
target = '-143' # NAIF code for TGO ['EARTH'/'SUN'/ a groundstation etc] 'MARS ODYSSEY'
obsfrm = 'IAU_MARS'
abcorr = 'NONE'
crdsys = 'LATITUDINAL'
coord = 'LATITUDE'
stepsz = 1.0 # Check every [300] seconds if there is an occultation
MAXILV = 100000 #Max number of occultations that can be returned by gfoclt
bshape = 'POINT'
fshape = 'DSK/UNPRIORITIZED'
front = 'MARS'
fframe = 'IAU_MARS'
TFMT = 'YYYY-MM-DD HR:MN:SC' # Format that Cosmographia understands
sv = SpiceVariables()
#THIS COULD BE REMOVED
# [TGO, _] = spice.spkpos(sv.front, et-when, sv.fframe, 'NONE', sv.target)
# [MEX, _] = spice.spkpos(sv.front, et-when, sv.fframe, 'NONE', sv.obs)
TGO = TGO + 0
MEX = MEX + 0 #force to be non-strided
dist = math.floor(spice.vdist(TGO, MEX))
angleseparation = (spice.vsep(MEX, TGO)) # angle taken a mars center
initialangle = (spice.vsep(-MEX, (TGO - MEX))) * (
180 / math.pi
) # angle taken at mars-MEX-tgo, that points to tgo. needed for the bending functions original starting angle
#script needs to work via periods of ray and not meters. [totalperiods is the main iterable, not meters]
sc2sc = TGO - MEX
norm = np.linalg.norm(sc2sc)
unitsc2sc = sc2sc / norm #this needs to shrink if the repeatable expands
points = np.empty([3, dist])
sza = np.empty([1, dist])
angleprogression = np.empty([1, dist])
xyzpoints = np.zeros([3, dist])
marsrad = spice.bodvrd(sv.front, 'RADII', 3)
flatteningcoefficient = (marsrad[1][0] - marsrad[1][2]) / marsrad[1][0]
equatorialradii = marsrad[1][0]
# find direction of sun, it will not change much during the occultation. so only calc it once
#[SUN, _] = spice.spkpos(sv.front, et, sv.fframe, 'NONE', 'SUN')
for i in range(dist):
xyzpoint = MEX + (
i * unitsc2sc
) #move along ray, 1000 wavelength distance at a time (685 m). but unitsc2sc is in km...
xyzpoints[:, i] = xyzpoint
#sza[0,i] = spice.vsep(SUN,xyzpoint)
angleprogression[0, i] = (spice.vsep(xyzpoint, MEX)) * (180 / math.pi)
points[:, i] = spice.recgeo(xyzpoint, equatorialradii,
flatteningcoefficient)
points[0, i] = (points[0, i] * (-180 / math.pi))
points[1, i] = (points[1, i] * (-180 / math.pi))
# ray = np.concatenate((points,sza), axis=0) # important for when sza is included
#plt.plot(angleprogression[0,:], ray[2,:])
#plt.show()
# ray is in lat/lon/alt + sza and xyzpoints is cartesian, both describe the same thing
return initialangle, xyzpoints
def mrotat():
#
# Convert our UTC string to seconds past J2000 TDB.
#
timstr = '2007 JAN 1 00:00:00'
et = spiceypy.str2et(timstr)
#
# Look up the apparent position of the Earth relative
# to the Moon's center in the IAU_MOON frame at ET.
#
[imoonv, ltime] = spiceypy.spkpos('earth', et, 'iau_moon', 'lt+s', 'moon')
#
#Express the Earth direction in terms of longitude
#and latitude in the IAU_MOON frame.
#
[r, lon, lat] = spiceypy.reclat(imoonv)
print('\n'
'Moon-Earth direction using low accuracy\n'
'PCK and IAU_MOON frame:\n'
'Earth lon (deg): {0:15.6f}\n'
'Earth lat (deg): {1:15.6f}\n'.format(lon * spiceypy.dpr(),
lat * spiceypy.dpr()))
#
# Look up the apparent position of the Earth relative
# to the Moon's center in the MOON_ME frame at ET.
#
[mmoonv, ltime] = spiceypy.spkpos('earth', et, 'moon_me', 'lt+s', 'moon')
#
# Express the Earth direction in terms of longitude
# and latitude in the MOON_ME frame.
#
[r, lon, lat] = spiceypy.reclat(mmoonv)
print('Moon-Earth direction using high accuracy\n'
'PCK and MOON_ME frame:\n'
'Earth lon (deg): {0:15.6f}\n'
'Earth lat (deg): {1:15.6f}\n'.format(lon * spiceypy.dpr(),
lat * spiceypy.dpr()))
#
# Find the angular separation of the Earth position
# vectors in degrees.
#
sep = spiceypy.dpr() * spiceypy.vsep(imoonv, mmoonv)
print('For IAU_MOON vs MOON_ME frames:')
print('Moon-Earth vector separation angle (deg): '
'{:15.6f}\n'.format(sep))
#
# Look up the apparent position of the Earth relative
# to the Moon's center in the MOON_PA frame at ET.
#
[pmoonv, ltime] = spiceypy.spkpos('earth', et, 'moon_pa', 'lt+s', 'moon')
#
# Express the Earth direction in terms of longitude
# and latitude in the MOON_PA frame.
#
[r, lon, lat] = spiceypy.reclat(pmoonv)
print('Moon-Earth direction using high accuracy\n'
'PCK and MOON_PA frame:\n'
'Earth lon (deg): {0:15.6f}\n'
'Earth lat (deg): {1:15.6f}\n'.format(lon * spiceypy.dpr(),
lat * spiceypy.dpr()))
#
# Find the angular separation of the Earth position
# vectors in degrees.
#
sep = spiceypy.dpr() * spiceypy.vsep(pmoonv, mmoonv)
print('For MOON_PA vs MOON_ME frames:')
print('Moon-Earth vector separation angle (deg): '
'{:15.6f}\n'.format(sep))
#
# Find the apparent sub-Earth point on the Moon at ET
# using the MOON_ME frame.
#
[msub, trgepc, srfvec] = spiceypy.subpnt('near point: ellipsoid', 'moon',
et, 'moon_me', 'lt+s', 'earth')
#
# Display the sub-point in latitudinal coordinates.
#
[r, lon, lat] = spiceypy.reclat(msub)
print('Sub-Earth point on Moon using high accuracy\n'
'PCK and MOON_ME frame:\n'
'Sub-Earth lon (deg): {0:15.6f}\n'
'Sub-Earth lat (deg): {1:15.6f}\n'.format(lon * spiceypy.dpr(),
lat * spiceypy.dpr()))
#
# Find the apparent sub-Earth point on the Moon at
# ET using the MOON_PA frame.
#
[psub, trgepc, srfvec] = spiceypy.subpnt('near point: ellipsoid', 'moon',
et, 'moon_pa', 'lt+s', 'earth')
#
# Display the sub-point in latitudinal coordinates.
#
[r, lon, lat] = spiceypy.reclat(psub)
print('Sub-Earth point on Moon using high accuracy\n'
'PCK and MOON_PA frame:\n'
'Sub-Earth lon (deg): {0:15.6f}\n'
'Sub-Earth lat (deg): {1:15.6f}\n'.format(lon * spiceypy.dpr(),
lat * spiceypy.dpr()))
#
# Find the distance between the sub-Earth points
# in km.
#
dist = spiceypy.vdist(msub, psub)
print('Distance between sub-Earth points (km): ' '{:15.6f}\n'.format(dist))
def get_planet_magnitude(object_id, pos_planet, pos_basis):
""" Planet and Moon magnitudes """
planet_abs_mag = {
199: -0.42, # OBJECT_ID_MERCURY
299: -4.40, # OBJECT_ID_VENUS
399: -2.96, # OBJECT_ID_EARTH
499: -1.52, # OBJECT_ID_MARS
599: -9.40, # OBJECT_ID_JUPITER
699: -8.68, # OBJECT_ID_SATURN
799: -7.19, # OBJECT_ID_URANUS
899: -6.87, # OBJECT_ID_NEPTUNE
999: -1.00, # OBJECT_ID_PLUTO
}
# distance between each objects in AU
d_planet_basis = spice.vdist(pos_planet, pos_basis)
d_planet_basis = spice.convrt(d_planet_basis, "km", "AU")
d_planet_sun = spice.vnorm(pos_planet)
d_planet_sun = spice.convrt(d_planet_sun, "km", "AU")
d_sun_basis = spice.vnorm(pos_basis)
d_sun_basis = spice.convrt(d_sun_basis, "km", "AU")
if object_id == OBJECT_ID_SUN:
return -27.3 + 5.0 * np.log10(d_sun_basis)
elif object_id == OBJECT_ID_MOON:
return 0.38
elif object_id in [
OBJECT_ID_MERCURY,
OBJECT_ID_VENUS,
OBJECT_ID_EARTH,
OBJECT_ID_MARS,
OBJECT_ID_JUPITER,
OBJECT_ID_SATURN,
OBJECT_ID_URANUS,
OBJECT_ID_NEPTUNE,
OBJECT_ID_PLUTO,
]:
pass
else:
return None
mag = planet_abs_mag[object_id]
mag += 5.0 * np.log10(d_planet_basis * d_planet_sun)
if object_id <= OBJECT_ID_JUPITER:
pa = 0.0
tpa = (d_planet_sun**2 + d_planet_basis**2 -
d_sun_basis) / (2.0 * d_planet_sun * d_planet_basis)
tpa = np.clip(tpa, -1.0, 1.0)
pa = np.degrees(np.arccos(tpa))
if object_id == OBJECT_ID_MERCURY:
mag += (0.0380 - 0.000273 * pa + 0.000002 * pa * pa) * pa
elif object_id == OBJECT_ID_VENUS:
mag += (0.0009 + 0.000239 * pa - 0.00000065 * pa * pa) * pa
elif object_id == OBJECT_ID_MARS:
mag += 0.016 * pa
elif object_id == OBJECT_ID_JUPITER:
mag += 0.005 * pa
elif object_id == OBJECT_ID_SATURN:
mag -= 1.1 * 0.3
return mag
