Nutze Skyfield fuer praezisere Daemmerungsberechnung

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# -*- coding: utf-8 -*-
from numpy import array
from skyfield import api
from skyfield.api import EarthSatellite, load
from skyfield.constants import AU_KM, AU_M
from skyfield.sgp4lib import TEME_to_ITRF, VectorFunction
from skyfield.timelib import julian_date
line1 = '1 25544U 98067A 18184.80969102 .00001614 00000-0 31745-4 0 9993'
line2 = '2 25544 51.6414 295.8524 0003435 262.6267 204.2868 15.54005638121106'
# Here are numbers from HORIZONS, which I copied into the test below:
#
#Ephemeris / WWW_USER Wed Jul 4 19:16:45 2018 Pasadena, USA / Horizons
#...
#2458303.500000000 = A.D. 2018-Jul-04 00:00:00.0000 TDB
# X = 2.633404251158200E-05 Y = 1.015087620439817E-05 Z = 3.544778677556393E-05
# VX=-1.751248694205384E-03 VY= 4.065407557020968E-03 VZ= 1.363540232307603E-04
#2458304.500000000 = A.D. 2018-Jul-05 00:00:00.0000 TDB
# X =-2.136440257814821E-05 Y =-2.084170814514480E-05 Z =-3.415494123796893E-05
# VX= 2.143876266215405E-03 VY=-3.752167957502106E-03 VZ= 9.484159290242074E-04
# TODO: try with array of dates
def test_iss_against_horizons():
ts = api.load.timescale()
s = EarthSatellite(line1, line2)
hp = array([
[2.633404251158200E-5, 1.015087620439817E-5, 3.544778677556393E-5],
[-2.136440257814821E-5, -2.084170814514480E-5, -3.415494123796893E-5],
]).T
hv = array([
[-1.751248694205384E-3, 4.065407557020968E-3, 1.363540232307603E-4],
[2.143876266215405E-3, -3.752167957502106E-3, 9.484159290242074E-4],
]).T
two_meters = 2.0 / AU_M
three_km_per_hour = 3.0 * 24.0 / AU_KM
t = ts.tdb(2018, 7, 4)
p = s.at(t)
assert abs(p.xyz.au - hp[:,0]).max() < two_meters
assert abs(p.velocity.au_per_d - hv[:,0]).max() < three_km_per_hour
t = ts.tdb(2018, 7, [4, 5])
p = s.at(t)
assert abs(p.xyz.au - hp).max() < two_meters
assert abs(p.velocity.au_per_d - hv).max() < three_km_per_hour
# The following tests are based on the text of
# http://www.celestrak.org/publications/AIAA/2006-6753/AIAA-2006-6753-Rev2.pdf
appendix_c_example = """\
TEME EXAMPLE
1 00005U 58002B 00179.78495062 .00000023 00000-0 28098-4 0 4753
2 00005 34.2682 348.7242 1859667 331.7664 19.3264 10.82419157413667
"""
from ..constants import DEG2RAD
arcminute = DEG2RAD / 60.0
arcsecond = arcminute / 60.0
seconds_per_day = 86400.0
# Note that the following test is based specifically on Revision 2 of
# "Revisiting Spacetrack Report #3" AIAA 2006-6753 (earlier versions of
# the PDF use different numbers):
#
# http://www.celestrak.org/publications/AIAA/2006-6753/AIAA-2006-6753-Rev2.pdf
def test_appendix_c_conversion_from_TEME_to_ITRF():
rTEME = array([5094.18016210, 6127.64465950, 6380.34453270])
vTEME = array([-4.746131487, 0.785818041, 5.531931288])
vTEME = vTEME * 24.0 * 60.0 * 60.0 # km/s to km/day
jd_utc = julian_date(2004, 4, 6, 7, 51, 28.386)
d_ut1 = -0.439961
jd_ut1 = jd_utc + d_ut1 / 86400.0
xp = -0.140682 * arcsecond
yp = 0.333309 * arcsecond
rITRF, vITRF = TEME_to_ITRF(jd_ut1, rTEME, vTEME, xp, yp)
epsilon = 5e-8 # Why not 1e-8, which would match all of their digits?
assert abs(-1033.47938300 - rITRF[0]) < epsilon
assert abs(+7901.29527540 - rITRF[1]) < epsilon
assert abs(+6380.35659580 - rITRF[2]) < epsilon
vITRF_per_second = vITRF / seconds_per_day
epsilon = 7e-8 # Why not 1e-9, which would match all of their digits?
assert abs(-3.225636520 - vITRF_per_second[0]) < epsilon
assert abs(-2.872451450 - vITRF_per_second[1]) < epsilon
assert abs(+5.531924446 - vITRF_per_second[2]) < epsilon
def test_appendix_c_satellite():
lines = appendix_c_example.splitlines()
ts = api.load.timescale()
sat = EarthSatellite(lines[1], lines[2], lines[0], ts)
t = ts.tt_jd(sat.epoch.whole + 3.0, sat.epoch.tt_fraction)
# First, a crucial sanity check (which is, technically, a test of
# the `sgp4` package and not of Skyfield): are the right coordinates
# being produced by our Python SGP4 propagator for this satellite?
rTEME, vTEME, error = sat._position_and_velocity_TEME_km(t)
# TODO: This used to be accurate to within 1e-8 but lost precision
# with the move to SGP4 2.0. Is the difference an underlying change
# in the algorithm and its results? Or something else?
epsilon = 1e-4
assert abs(-9060.47373569 - rTEME[0]) < epsilon
assert abs(4658.70952502 - rTEME[1]) < epsilon
assert abs(813.68673153 - rTEME[2]) < epsilon
# TODO: Similar to the above, this used to be 1e-9. Then the Time
# object started storing UTC as seconds, and it got worse.
epsilon = 5e-8
assert abs(-2.232832783 - vTEME[0]) < epsilon
assert abs(-4.110453490 - vTEME[1]) < epsilon
assert abs(-3.157345433 - vTEME[2]) < epsilon
def test_epoch_date():
# Example from https://celestrak.org/columns/v04n03/
s = appendix_c_example.replace('00179.78495062', '98001.00000000')
lines = s.splitlines()
sat = EarthSatellite(lines[1], lines[2], lines[0])
assert sat.epoch.utc_jpl() == 'A.D. 1998-Jan-01 00:00:00.0000 UTC'
def test_target_number():
s = EarthSatellite(line1, line2)
assert s.target == -125544
def test_is_sunlit():
# Yes, a positionlib method; but it made sense to test it here.
ts = api.load.timescale()
t = ts.utc(2018, 7, 3, 0, range(0, 60, 10))
s = EarthSatellite(line1, line2)
eph = load('de421.bsp')
expected = [True, False, False, False, True, True]
assert list(s.at(t).is_sunlit(eph)) == expected
# What if we observe from a topos rather than the geocenter?
topos = api.Topos('40.8939 N', '83.8917 W')
assert list((s - topos).at(t).is_sunlit(eph)) == expected
def test_is_venus_behind_earth():
# Like the previous test: a satellite-focused positionlib method.
# Just for fun, we ask whether the Sun is behind the earth, so this
# measures the same celestial circumstance as the previous test.
ts = api.load.timescale()
t = ts.utc(2018, 7, 3, 0, range(0, 60, 10))
s = EarthSatellite(line1, line2)
eph = load('de421.bsp')
expected = [False, True, True, True, False, False]
p = (eph['earth'] + s).at(t).observe(eph['sun']).apparent()
assert list(p.is_behind_earth()) == expected
def test_is_another_satellite_behind_earth():
# See if the method works with a pure geometric difference.
ts = api.load.timescale()
t = ts.utc(2018, 7, 3, 0, range(0, 60, 10))
s = EarthSatellite(line1, line2)
# The "other satellite" is fictitious: the ISS offset by one day.
s2 = EarthSatellite(line1.replace('184.80969102', '185.80969102'), line2)
expected = [True, True, True, True, True, True]
p = (s - s2).at(t)
assert list(p.is_behind_earth()) == expected
def test_behind_earth_thoroughly():
class FakeSat(VectorFunction):
center = 399
target = None
zero = array([0,0,0])
def __init__(self, r):
self.r = array(r)
def _at(self, t):
return self.r, self.zero, None, None
ts = api.load.timescale()
t = ts.utc(2023, 4, 8, 1, 25)
# Earth's equatorial radius is around 6378 km.
sats = [
FakeSat([-9e5 / AU_KM, 0, 0]), # far left of Earth
FakeSat([-8e5 / AU_KM, 0, 0]), # left of Earth
FakeSat([0, 0, 0]), # center of Earth
FakeSat([8e5 / AU_KM, 0, 0]), # right of Earth
FakeSat([9e5 / AU_KM, 0, 0]), # farther right of Earth
]
verdicts = [
(s2 - s1).at(t).is_behind_earth()
for s1 in sats
for s2 in sats
if s2 is not s1
]
assert verdicts == [
False, True, True, True, # First two fake sats can see each other.
False, True, True, True,
True, True, True, True,
True, True, True, False,
True, True, True, False, # Last two fake sats can see each other.
]