def find_maven_apsis(segment='periapse'):
"""
Calculates the ephemeris times at apoapse or periapse for all MAVEN orbits between orbital insertion and now.
Requires furnishing of all SPICE kernels.
Parameters
----------
segment : str
The orbit point at which to calculate the ephemeris time. Choices are 'periapse' and 'apoapse'. Defaults to
'periapse'.
Returns
-------
orbit_numbers : array
Array of MAVEN orbit numbers.
et_array : array
Array of ephemeris times for chosen orbit segment.
"""
# set starting and ending times
et_start = 464623267 # MAVEN orbital insertion
et_end = spice.datetime2et(datetime.utcnow()) # right now
# do very complicated SPICE stuff
target = 'Mars'
abcorr = 'NONE'
observer = 'MAVEN'
relate = ''
refval = 0.
if segment == 'periapse':
relate = 'LOCMIN'
refval = 3396. + 500.
elif segment == 'apoapse':
relate = 'LOCMAX'
refval = 3396. + 6200.
adjust = 0.
step = 60. # 1 minute steps, since we are only looking within periapse segment for periapsis
et = [et_start, et_end]
cnfine = spice.utils.support_types.SPICEDOUBLE_CELL(2)
spice.wninsd(et[0], et[1], cnfine)
ninterval = round((et[1] - et[0]) / step)
result = spice.utils.support_types.SPICEDOUBLE_CELL(round(1.1 * (et[1] - et[0]) / 4.5))
spice.gfdist(target, abcorr, observer, relate, refval, adjust, step, ninterval, cnfine, result=result)
count = spice.wncard(result)
et_array = np.zeros(count)
if count == 0:
print('Result window is empty.')
else:
for i in range(count):
lr = spice.wnfetd(result, i)
left = lr[0]
right = lr[1]
if left == right:
et_array[i] = left
# make array of orbit numbers
orbit_numbers = np.arange(1, len(et_array) + 1, 1, dtype=int)
# return orbit numbers and array of ephemeris times
return orbit_numbers, et_array
def computeOccultations(self, observer_in, occultation_bodies_in,
target_in, target_shape_in, target_frame_in,
step_size_in, aberration_correction_in,
greg_format_string_in):
self.greg_format_string = greg_format_string_in
split_string = self.greg_format_string.split(' ')
self.time_system_string = [i for i in split_string if '::' in i][0][2:]
self.observer = str(observer_in)
self.occultation_bodies = occultation_bodies_in
self.target = target_in
self.target_shape = target_shape_in
self.target_frame = target_frame_in
self.search_step_size = step_size_in
self.aberration_correction = aberration_correction_in
self.cumulative_results = {}
for body in self.occultation_bodies:
# add a new key to the results dictionary for this body
self.cumulative_results[body.name] = []
for occultation_type in body.occultation_types:
body.search_start_ET_seconds = spice.str2et(body.search_start)
body.search_end_ET_seconds = spice.str2et(body.search_end)
spice.wninsd(body.search_start_ET_seconds,
body.search_end_ET_seconds,
self.SPICE_search_window)
spice.gfoclt(occultation_type, body.name, body.shape,
body.frame, self.target, self.target_shape,
self.target_frame, self.aberration_correction,
self.observer, self.search_step_size,
self.SPICE_search_window, self.results_window)
winsiz = spice.wncard(self.results_window)
for body_index in range(winsiz):
[intbeg, intend] = spice.wnfetd(self.results_window,
body_index)
btmstr = spice.timout(intbeg, self.greg_format_string)
etmstr = spice.timout(intend, self.greg_format_string)
occultation_event = OccultationEvent()
occultation_event.start = btmstr
occultation_event.stop = etmstr
occultation_event.start_JD = greg2Julian(btmstr)
occultation_event.stop_JD = greg2Julian(etmstr)
occultation_event.duration = intend - intbeg
occultation_event.type = occultation_type
occultation_event.observer = self.observer
occultation_event.occulting_body = body.name
occultation_event.occulting_body_shape = body.shape
occultation_event.target = self.target
occultation_event.target_body_shape = self.target_shape
self.cumulative_results[body.name].append(
occultation_event)
def check_coverage(self):
cover = spice.utils.support_types.SPICEDOUBLE_CELL(2000)
if local == 0:
spice.spkcov(auxdir + 'spk/MSGR_HGM008_INTGCB.bsp', -236, cover)
else:
spice.spkcov(
'/home/sberton2/Works/NASA/Mercury_tides/spktst/MSGR_HGM008_INTGCB.bsp',
-236, cover)
twind = [spice.wnfetd(cover, i) for i in range(spice.wncard(cover))]
epo_in = np.sort(self.ladata_df.ET_TX.values)
self.ladata_df['in_spk'] = np.array(
[np.sum([t[0] <= val <= t[1] for t in twind])
for val in epo_in]) > 0
if debug:
print(len(self.ladata_df.loc[self.ladata_df['in_spk'] == False]))
print("lensel", len(self.ladata_df),
len(self.ladata_df.loc[self.ladata_df['in_spk']]))
self.ladata_df = self.ladata_df.loc[self.ladata_df['in_spk']]
def core():
class SpiceVariables:
obs = '-74' # NAIF code for MEX
target = 'MARS ODYSSEY' # NAIF code for TGO ['EARTH'/'SUN'/ a groundstation etc]
obsfrm = 'IAU_MARS'
abcorr = 'NONE'
crdsys = 'LATITUDINAL'
coord = 'LATITUDE'
stepsz = 100.0 # 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()
#-----------------------------------------------------<VALUES TO EDIT REGULARLY>----------------------------------------
# If you only wish to analysis mutual [cross-link] occultation between MEX and TGO, then this is the only section that
# needs to be edited
start = '2020 MAR 1'
stop = '2020 MAR 3'
OCCSELECTION = 17 # Which occultation do you wish to see in Cosmographia? [optional]
here = path.abspath(path.dirname(__file__))
PathtoMetaKernel1 = here + '/TGO/krns/mk/em16_plan.tm'
PathtoMetaKernel2 = here + '/MEX/krns/mk/MEX_OPS.tm'
#-----------------------------------------------------------------------------------------------------------------------
spice.furnsh(PathtoMetaKernel1)
spice.furnsh(PathtoMetaKernel2)
sv = SpiceVariables()
# Setting Variables
ingresslist = np.array([1.0], dtype=float)
etbeg = spice.str2et(start)
etend = spice.str2et(stop)
# Form a windows that gfoclt can populate
window = stypes.SPICEDOUBLE_CELL(2)
spice.wninsd(etbeg, etend, window)
occwindow = stypes.SPICEDOUBLE_CELL(sv.MAXILV)
#find occultation windows between the dates listed above [ most comp cost in this function]
spice.gfoclt('ANY', sv.front, sv.fshape, sv.fframe, sv.target, sv.bshape,
'J2000', sv.abcorr, sv.obs, sv.stepsz, window, occwindow)
winsiz = spice.wncard(occwindow) # Find cardinality (number of windows)
#initialize lists to form dataframe
lon, lat, dist, sza, angle = (np.ones(winsiz - 1) for i in range(5))
# Enter the ingress epochs into a dataframe
occlist = np.ones((winsiz, 3))
for i in range(winsiz):
[ingress, egress
] = spice.wnfetd(occwindow,
i) # extract the begining and ends of the windows
if i == 1:
ingresslist = ingress
else:
ingresslist = np.append(ingresslist, [ingress])
occs = pd.DataFrame(ingresslist, columns=['Time'])
occ = occs.Time[OCCSELECTION]
return occ
# sv = main.SpiceVariables()
# occ = core()
#print("strange result:", occ)
# #print(result)
# #form the dataframe
# length = 120
# occs = pd.DataFrame(ingresslist, columns=['Time'])
# residualdoppler = np.zeros(length)
# velocitydoppler = np.zeros(length)
# RESIDUALSUM = np.zeros(length)
# #Calculate the residual doppler as the sum of the neutral and ionosphere
# tic = timer.perf_counter()
# for time in tqdm(range(length)): #begin time at occultation epoch and go to 2 mins pior
# ray, dist, totalperiods, remainingdistance = main.producegeometrylamda(occs.Time[OCCSELECTION], sv, time*8)# Produce geometry in wavelenghts to investigate electric distance
# _,_,_,_, alt = main.Location(occs.Time[OCCSELECTION], sv, time*8)
# ionoresidual = atmosphere.iono(ray[2,:],totalperiods)
# neutralresidual = atmosphere.neutral(ray[2,:],totalperiods)
# residual = 1 + (ionoresidual + neutralresidual)
# # plt.plot(range(totalperiods),residual[0,:])
# # plt.title("Refractive Index through Propergation of Ray")
# # plt.xlabel("MEX->TGO distance (km)")
# # plt.ylabel("Refractive Index")
# # plt.show()
# #DO A TEST TO SEE IF THE NET REFRACTIVE INDEX CHANGES OVER TIME, THEN U CAN HONE IN ON THE ERRRO
# # account for the plus 1
# [electricdistance, geometric, resdopplershift] = main.doppler(residual, totalperiods, dist, remainingdistance)
# miss = electricdistance - dist + remainingdistance # a possitive number as electric distance is greater that geometric due to iono
# howwrongurcodeis = geometric - dist # is this purly due to rounding of that 9945 (each 1 is ~685 m)
# residualdoppler[time] = resdopplershift
# #find the geometric doppler too UNTESTED MODULE
# sc2scstates = spice.spkezr(sv.target, (occs.Time[OCCSELECTION] - time*8), sv.fframe, 'LT+S', sv.obs)
# velocityvector = sc2scstates[0][3:6]
# velocityvector = velocityvector[0:3]
# positionalvector = sc2scstates[0][0:3]
# positionalvector = positionalvector[0:3]
# velocityangle = spice.vsep( positionalvector, velocityvector) #rads
# relativevelocity = np.linalg.norm(velocityvector) * np.cos(velocityangle)
# geometricdopplershift = -(relativevelocity/constants.c) * 437.1e6
# velocitydoppler[time] = geometricdopplershift *1000 # becuase spice is in km and c is in m
# toc = timer.perf_counter()
# passingtime = toc-tic
# print('elapsed time in seconds:', passingtime)
# noise = np.random.normal(0,50,velocitydoppler.shape)
# RESIDUALSUM = residualdoppler + velocitydoppler + noise
# fig, ax = plt.subplots(3)
# ax[0].plot(range(-960,0,8),velocitydoppler[: : -1] )
# ax[0].set_title('Geometric', loc='left')
# ax[0].set_xlabel('Time after Occ (s)')
# ax[0].set_ylabel('Doppler Shift (Hz)')
# ax[1].plot(range(-960,0,8),residualdoppler[: : -1] )
# ax[1].set_title('Residual', loc='left')
# ax[1].set_xlabel('Time after Occ (s)')
# ax[1].set_ylabel('Doppler Shift (Hz)')
# ax[2].plot(range(-960,0,8),RESIDUALSUM[: : -1])
# ax[2].set_title('Product + Noise', loc='left')
# ax[2].set_xlabel('Time to Horizon Epoch (s)')
# ax[2].set_ylabel('Doppler Shift (Hz)')
# plt.show()
# #then add noise
equals,
) = 'earth 0 j2000 none lt lt+s ra/dec declination ='.upper().split()
sp.furnsh('de421.bsp')
gaia_db = 'gaia.sqlite3'
### Find ET of spring equinox wrt Solar System Barycenter (SSB) & earth
cnfine = sp.utils.support_types.SPICEDOUBLE_CELL(2)
result = sp.utils.support_types.SPICEDOUBLE_CELL(200)
sp.wninsd(0., sp.pi() * .5e7, cnfine)
r = sp.gfposc(ssb, j2000, none, earth, ra_dec, declination, equals, 0., 0.,
10 * sp.spd(), 200, cnfine, result)
### Get SSB->Earth and Earth->SSB vectors at that time
et = sp.wnfetd(result, 0)[0]
ssb2e = sp.spkezr(earth, et, j2000, none, ssb)[0]
e2ssblt = sp.spkezr(ssb, et, j2000, LT, earth)[0]
if do_debug:
### N.B. Light-time correction on Earth->SSB will have no effect
print(
dict(
etcal=sp.etcal(et, 99),
ssb2earth_au=sp.vscl(aupkm, ssb2e[:3]),
earth2ssb_au=sp.vscl(aupkm, e2ssblt[:3]),
))
assert 0.0 == sp.vnormg(sp.vaddg(ssb2e, e2ssblt, 6), 6)
### Get a star (ra,dec,parallax) near the pole with parallax > 10mas/y
cn = sl3.connect(gaia_db)
cu = cn.cursor()
### Find local minima using SPICE Geometry Finder
sp.gfpa(sClock, sMinute, "NONE", sHour, "LOCMIN", 1e-6, 0.0, spm, 6000,
cnfine, result)
### Confirm that 22 minima were found
assert 22 == sp.wncard(result)
print('SP-Kernel passed [{}-alignments per day] test'.format(
sp.wncard(result)))
### Optional logging
if doDebug:
print('Alignments between {} and {}:'.format(
sp.etcal(etStart + 0.0005, 99), sp.etcal(etStop + 0.0005, 99)))
for iWin in range(sp.wncard(result)):
left, right = sp.wnfetd(result, iWin)
print(' {}: {}'.format(iWin, sp.etcal(left + 0.0005, 99)))
### Repeat with extra time
cnfine = sp.stypes.SPICEDOUBLE_CELL(2)
etStop = et0 + spd + 10e-3
sp.wninsd(etStart, etStop, cnfine)
### Find local minima
sp.gfpa(sClock, sMinute, "NONE", sHour, "LOCMIN", 1e-6, 0.0, spm, 6000,
cnfine, result)
### Confirm that 23 minima were found
assert 23 == sp.wncard(result)
print('SP-Kernel passed [{}-alignments per (day+20ms)] test'.format(
sp.wncard(result)))
spice.furnsh(sd.pck00010)
sc = SC({
'date0': '2021-03-03 22:10:35 TDB',
'coes': [7480.0, 0.09, 5.5, 6.26, 5.95, 0.2],
'tspan': '40',
})
st.write_bsp(sc.ets, sc.states[:, :6], {'bsp_fn': 'leo.bsp'})
spice.furnsh('leo.bsp')
et0 = spice.str2et('2021-03-03 22:10:40 TDB')
etf = spice.str2et('2021-03-04 TDB')
timecell = spice.utils.support_types.SPICEDOUBLE_CELL(2)
spice.appndd(et0, timecell)
spice.appndd(etf, timecell)
cell = spice.gfoclt('ANY', '399', 'ELLIPSOID', 'IAU_EARTH', '10',
'ELLIPSOID', 'IAU_SUN', 'LT', '-999', 120.0, timecell)
ets_SPICE = spice.wnfetd(cell, 0)
cal0 = spice.et2utc(ets_SPICE[0], 'C', 1)
cal1 = spice.et2utc(ets_SPICE[1], 'C', 1)
print('\n*** SPICE RESULTS ***')
print(f'{cal0} --> {cal1}')
sc.plot_3d()
sc.calc_eclipses(vv=True)
sc.plot_eclipse_array({'time_unit': 'seconds', 'show': True})
def find_segment_et(orbit_number, data_directory, segment='apoapse'):
"""Calculates the ephemeris time at the moment of apoapsis or
periapsis for an orbit. Requires data files exist for the choice
of orbit and segment. If not, use the full-mission
"find_maven_apsis" function available in the "data"
sub-module. Also requires furnishing of all SPICE kernels.
Parameters
----------
orbit_number : int
The MAVEN orbit number.
data_directory : str
Absolute system path to the location containing orbit block
folders ("orbit01300", orbit01400", etc.)
segment : str
For which orbit segment you want to calculate the ephemeris
time. Options are 'apoapse' and 'periapse." Default choice is
'apoapse'.
Returns
-------
et : float
The ephemeris time for the chosen segment/orbit number.
"""
# load files
files = find_files(orbit=orbit_number,
segment=segment,
data_directory=data_directory)
if len(files) == 0:
raise Exception('No %s files for orbit %i.' % (segment, orbit_number))
hdul = files[0]
et_start = hdul['integration'].data['et'][0]
# do very complicated SPICE stuff
target = 'Mars'
abcorr = 'NONE'
observer = 'MAVEN'
relate = ''
refval = 0.
if segment == 'periapse':
relate = 'LOCMIN'
refval = 3396. + 500.
elif segment == 'apoapse':
relate = 'LOCMAX'
refval = 3396. + 6200.
adjust = 0.
step = 60.
et = [et_start, et_start + 4800]
cnfine = spice.utils.support_types.SPICEDOUBLE_CELL(2)
spice.wninsd(et[0], et[1], cnfine)
ninterval = 100
result = spice.utils.support_types.SPICEDOUBLE_CELL(100)
spice.gfdist(target,
abcorr,
observer,
relate,
refval,
adjust,
step,
ninterval,
cnfine,
result=result)
et = spice.wnfetd(result, 0)[0]
# return the ephemeris time of the orbit segment
return et
def find_maven_apsis_et(self, end_time: datetime = None,
apsis: str = 'apoapse') \
-> tuple[np.ndarray, np.ndarray]:
"""Calculate the ephemeris times at either orbital apses between a start
and end time. To do this, SPICE checks the Mars-MAVEN distance in steps
of 1 minute, and returns the local minima (for periapsis) or local
maxima (for apoapsis).
Parameters
----------
end_time
Ending datetime to get apsis ephemeris times for. Default is
:code:`None`, which will get times up until today.
apsis
The apsis to get the ephemeris times for. Can be either 'apoapse' or
'periapse'.
Returns
-------
orbits
Relative MAVEN orbit numbers between the start and end dates.
et
Ephemeris times at the given apsis for all the orbits in the time
range.
"""
# TODO: it'd be nice to be able to specify a start time. This is easy to
# implement here, but I'm not sure how I'd compute orbit numbers.
et_start = 464623267
et_end = spice.datetime2et(datetime.utcnow()) if end_time is None \
else spice.datetime2et(end_time)
relate, refval = self.__set_apsis_flags(apsis)
adjust = 0.
step = 60.
cnfine = spice.utils.support_types.SPICEDOUBLE_CELL(2)
spice.wninsd(et_start, et_end, cnfine)
ninterval = round((et_end - et_start) / step)
result = spice.utils.support_types.SPICEDOUBLE_CELL(
round(1.1 * (et_end - et_start) / 4.5))
spice.gfdist(self.__target,
self.__abcorr,
self.__observer,
relate,
refval,
adjust,
step,
ninterval,
cnfine,
result=result)
count = spice.wncard(result)
et_array = np.zeros(count)
if count == 0:
print('Result window is empty.')
else:
for i in range(count):
lr = spice.wnfetd(result, i)
left = lr[0]
right = lr[1]
if left == right:
et_array[i] = left
# make array of orbit numbers
orbit_numbers = np.arange(1, len(et_array) + 1, 1, dtype=int)
# return orbit numbers and array of ephemeris times
return orbit_numbers, et_array
def cov_int(object_cov,
object_id,
kernel,
time_format='TDB',
global_boundary=False,
report=False):
"""
Generates a list of time windows out of a SPICE cell for which either
the SPICE API spkcov_c or ckcov_c have been run.
:param object_cov: SPICE
:type object_cov:
:param object_id: Object ID or Name for which we provide the coverage
:type object_id: Union[str, int]
:param kernel: Kernel name for which the coverage is being checked
:type kernel: str
:param time_format: Desired output format; 'UTC' or 'CAL'
:type time_format: str
:param global_boundary: Boolean to indicate whether if we want all the coverage windows or only the absolute start and finish coverage times
:type global_boundary: bool
:param report: If True prints the resulting coverage on the screen
:type report: bool
:return: Time Windows in the shape of a list
:rtype: list
"""
boundaries = False
if '/' in kernel:
kernel = kernel.split('/')[-1]
#
# Reporting should only be activated if we are not asking for global
# boundaries.
#
if report and not global_boundary:
try:
body_name = spiceypy.bodc2n(object_id)
except:
body_name = spiceypy.frmnam(object_id, 60)
print("Coverage for {} in {} [{}]:".format(body_name, kernel,
time_format))
number_of_intervals = list(range(spiceypy.wncard(object_cov)))
interval_start_list = []
interval_finish_list = []
coverage = []
for element in number_of_intervals:
et_boundaries = spiceypy.wnfetd(object_cov, element)
if time_format == 'CAL' or time_format == 'UTC':
boundaries = et2cal(et_boundaries, format=time_format)
else:
boundaries = et_boundaries
interval_start = boundaries[0]
interval_finish = boundaries[1]
if report and not global_boundary:
print("Interval {}: {} - {}\n".format(element, boundaries[0],
boundaries[1]))
coverage.append(interval_start)
coverage.append(interval_finish)
interval_start_list.append(interval_start)
interval_finish_list.append(interval_finish)
#
# If the global_boundary parameter is set the only output is the global
# coverage start and finish
#
if global_boundary:
start_time = min(interval_start)
finish_time = max(interval_finish)
coverage = et2cal([start_time, finish_time], format=time_format)
return coverage
occwindow = stypes.SPICEDOUBLE_CELL(sv.MAXILV)
# find occultation windows between the dates listed above [ most comp cost in this function]
spice.gfoclt('ANY', sv.front, sv.fshape, sv.fframe, sv.target, sv.bshape, '',
sv.abcorr, sv.obs, sv.stepsz, window, occwindow)
winsiz = spice.wncard(occwindow) # Find cardinality (number of windows)
# initialize lists to form dataframe
lon, lat, dist, sza, angle = (np.ones(winsiz - 1) for i in range(5))
# Enter the ingress epochs into a dataframe
occlist = np.ones((winsiz, 3))
for i in range(winsiz):
# extract the begining and ends of the windows
[ingress, egress] = spice.wnfetd(occwindow, i)
if i == 1:
ingresslist = ingress
egresslist = egress
else:
ingresslist = np.append(ingresslist, [ingress])
egresslist = np.append(egresslist, [egress])
#MEX,TGO = FindDopplerMain.ephemerides(636391881,1)
# form the dataframe
occs = pd.DataFrame(ingresslist, columns=['Time'])
occs['Ingress'] = ingresslist
occs['Egress'] = egresslist
# Form the profile geometry to be ported into Cosmographia (see README)
def do_main(argv):
sp.kclear()
halfpi, dpr = sp.halfpi(), sp.dpr()
fnck = 'out.bc'
target = 'TEMPEL 1'
frame = 'DIF_SPACECRAFT'
for arg in argv:
if arg.startswith('--ck='):
fnck = arg[5:]
elif arg.startswith('--target='):
target = arg[9:]
elif arg.startswith('--k='):
sp.furnsh(arg[4:])
else:
assert False, 'Unknown argument [{0}]'.format(arg)
frameid = sp.gipool('FRAME_{0}'.format(frame), 0, 1)[0]
scid = sp.gipool('CK_{0}_SPK'.format(frameid), 0, 1)[0]
scname = sp.bodc2s(scid, 99)
cover = sp.stypes.SPICEDOUBLE_CELL(200)
sp.scard(0, cover)
cover = sp.ckcov(fnck, frameid, False, "INTERVAL", 0.0, "TDB")
sp.furnsh(fnck)
vbore = sp.vpack(-1, 0, 0)
vorbitnorm = sp.vpack(0, 1, 0)
for ipair in range(sp.wncard(cover)):
et0, etend = sp.wnfetd(cover, 0)
etlast, ettca, niter = et0, (et0 + etend) * 0.5, 0
while ettca != etlast and niter < 20:
etlast = ettca
state6 = sp.spkezr(target, ettca, "j2000", "none", scname)[0]
vpos, vvel = state6[:3], state6[3:]
det = sp.vdot(vvel, vpos) / sp.vdot(vvel, vvel)
ettca -= det
niter += 1
print(dict(
TCAtdb=sp.etcal(ettca, 99),
niter=niter,
))
et = et0
ets, boreerrs, orbitnormerrs = list(), list(), list()
while et <= etend:
state6 = sp.spkezr(target, et, frame, "none", scname)[0]
vpos, vvel = state6[:3], state6[3:]
ets.append(et - et0)
boreerrs.append(dpr * sp.vsep(vbore, vpos))
orbitnormerrs.append(dpr * (sp.vsep(vbore, vorbitnorm) - halfpi))
et += max([0.01, 0.1 * abs(cos(sp.vsep(vpos, vvel)))])
try:
plt.plot(ets, orbitnormerrs, 'o', label='Orbit normal error')
plt.plot(ets, boreerrs, 'o', label='Boresight error')
plt.axvline(ettca - et0, label='TCA')
plt.xlabel('Time, s past {0} TDB'.format(sp.etcal(et0, 99)))
plt.ylabel('Error, deg')
plt.legend(loc='best')
plt.show()
except:
if do_debug:
import traceback as tb
tb.print_exc()
print(boreerrs[::1000])
print(orbitnormerrs[::1000])
