def testGetEphemerides(self):
# Test that getEphemerides works and is accurate.
chebyValues = ChebyValues()
#chebyValues.setCoefficients(self.chebyFits)
chebyValues.readCoefficients(self.coeffFile)
time = self.tStart + self.interval / 2.0
# Test for all objects.
ephemerides = chebyValues.getEphemerides(time)
pyephemerides = self.pyephems.generateEphemerides(time, obscode=807,
timeScale='TAI', byObject=False)
# RA and Dec should agree to 2.5mas (skyTolerance above)
pos_residuals = np.sqrt((ephemerides['ra'] - pyephemerides['ra'][0]) ** 2 +
(ephemerides['dec'] - pyephemerides['dec'][0]) ** 2)
pos_residuals *= 3600.0 * 1000.0
self.assertTrue(np.max(pos_residuals) <= 2.5)
# Let's just look at the max residuals in all quantities.
for k in ('ra', 'dec', 'dradt', 'ddecdt', 'delta'):
resids = np.abs(ephemerides[k] - pyephemerides[k][0])
print 'max diff ', k, np.max(resids)
resids = np.abs(ephemerides['elongation'] - pyephemerides['solarelon'][0])
print 'max diff elongation', np.max(resids)
resids = np.abs(ephemerides['vmag'] - pyephemerides['magV'][0])
print 'max diff vmag', np.max(resids)
# Test this for a subset of the objects.
objIds = self.orbits.orbits.objId.head(3).as_matrix()
ephemerides = chebyValues.getEphemerides(time, objIds)
self.assertEqual(len(ephemerides['ra']), 3)
def setUp(self):
# Read orbits.
self.orbits = Orbits()
self.jplDir = os.path.join(getPackageDir('sims_movingObjects'), 'tests/jpl_testdata')
self.orbits.readOrbits(os.path.join(self.jplDir, 'S0_n747.des'), skiprows=1)
# Read JPL ephems.
self.jpl = pd.read_table(os.path.join(self.jplDir, '807_n747.txt'), delim_whitespace=True)
# Add times in TAI and UTC, because.
t = Time(self.jpl['epoch_mjd'], format='mjd', scale='utc')
self.jpl['mjdTAI'] = t.tai.mjd
self.jpl['mjdUTC'] = t.utc.mjd
self.jpl = self.jpl.to_records(index=False)
# Generate interpolation coefficients for the time period in the JPL catalog.
self.scratch_dir = tempfile.mkdtemp(dir=ROOT, prefix='TestJPLValues-')
self.coeffFile = os.path.join(self.scratch_dir, 'test_coeffs')
self.residFile = os.path.join(self.scratch_dir, 'test_resids')
self.failedFile = os.path.join(self.scratch_dir, 'test_failed')
tStart = self.jpl['mjdTAI'].min() - 0.2
tEnd = self.jpl['mjdTAI'].max() + 0.2 - self.jpl['mjdTAI'].min()
self.chebyFits = ChebyFits(self.orbits, tStart, tEnd,
ngran=64, skyTolerance=2.5,
nDecimal=14, obscode=807)
self.chebyFits.calcSegmentLength()
self.chebyFits.calcSegments()
self.chebyFits.write(self.coeffFile, self.residFile, self.failedFile, append=False)
self.coeffKeys = ['objId', 'tStart', 'tEnd', 'ra', 'dec', 'geo_dist', 'vmag', 'elongation']
self.chebyValues = ChebyValues()
self.chebyValues.readCoefficients(self.coeffFile)
def testSetCoeff(self):
# Test setting coefficients directly from chebyFits outputs.
chebyValues = ChebyValues()
chebyValues.setCoefficients(self.chebyFits)
for k in self.coeffKeys:
self.assertTrue(k in chebyValues.coeffs)
self.assertTrue(isinstance(chebyValues.coeffs[k], np.ndarray))
self.assertEqual(len(np.unique(chebyValues.coeffs['objId'])), len(self.orbits))
# This will only be true for carefully selected length/orbit type, where subdivision did not occur.
# For the test MBAs, a len=1day will work. For the test NEOs, a len=0.25 day will work (with 2.5mas skyTol).
#self.assertEqual(len(chebyValues.coeffs['tStart']), (self.interval / self.setLength) * len(self.orbits))
self.assertEqual(len(chebyValues.coeffs['ra'][0]), self.nCoeffs)
self.assertTrue('meanRA' in chebyValues.coeffs)
self.assertTrue('meanDec' in chebyValues.coeffs)
def setUp(self):
# Read orbits.
self.orbits = Orbits()
self.orbits.readOrbits('jpl_testdata/S0_n747.des', skiprows=1)
# Read JPL ephems.
self.jpl = pd.read_table('jpl_testdata/807_n747.txt', delim_whitespace=True)
# Add times in TAI and UTC, because.
t = Time(self.jpl['epoch_mjd'], format='mjd', scale='utc')
self.jpl['mjdTAI'] = t.tai.mjd
self.jpl['mjdUTC'] = t.utc.mjd
self.jpl = self.jpl.to_records(index=False)
# Generate interpolation coefficients for the time period in the JPL catalog.
self.coeffFile = 'test_coeffs'
self.residFile = 'test_resids'
self.failedFile = 'test_failed'
tStart = self.jpl['mjdTAI'].min() - 0.2
tEnd = np.max([self.jpl['mjdTAI'].max() + 0.2, tStart + 1])
self.chebyFits = ChebyFits(self.orbits, tStart, tEnd,
ngran=64, skyTolerance=2.5, nDecimal=14,
nCoeff_position=14, obscode=807)
self.chebyFits.calcSegmentLength()
self.chebyFits.calcSegments()
self.chebyFits.write(self.coeffFile, self.residFile, self.failedFile, append=False)
self.coeffKeys = ['objId', 'tStart', 'tEnd', 'ra', 'dec', 'delta', 'vmag', 'elongation']
self.chebyValues = ChebyValues()
self.chebyValues.readCoefficients(self.coeffFile)
def testSetCoeff(self):
# Test setting coefficients directly from chebyFits outputs.
chebyValues = ChebyValues()
chebyValues.setCoefficients(self.chebyFits)
for k in self.coeffKeys:
self.assertTrue(k in chebyValues.coeffs)
self.assertTrue(isinstance(chebyValues.coeffs[k], np.ndarray))
self.assertEqual(len(np.unique(chebyValues.coeffs['objId'])), len(self.orbits))
# This will only be true for carefully selected length/orbit type, where subdivision did not occur.
# For the test MBAs, a len=1day will work.
# For the test NEOs, a len=0.25 day will work (with 2.5mas skyTol).
# self.assertEqual(len(chebyValues.coeffs['tStart']),
# (self.interval / self.setLength) * len(self.orbits))
self.assertEqual(len(chebyValues.coeffs['ra'][0]), self.nCoeffs)
self.assertTrue('meanRA' in chebyValues.coeffs)
self.assertTrue('meanDec' in chebyValues.coeffs)
def testGetEphemerides(self):
# Test that getEphemerides works and is accurate.
chebyValues = ChebyValues()
chebyValues.readCoefficients(self.coeffFile)
# Multiple times, all objects, all within interval.
tstep = self.interval/10.0
time = np.arange(self.tStart, self.tStart + self.interval, tstep)
# Test for a single time, but all the objects.
ephemerides = chebyValues.getEphemerides(time)
pyephemerides = self.pyephems.generateEphemerides(time, obscode=807,
timeScale='TAI', byObject=True)
# RA and Dec should agree to 2.5mas (skyTolerance above)
pos_residuals = np.sqrt((ephemerides['ra'] - pyephemerides['ra']) ** 2 +
((ephemerides['dec'] - pyephemerides['dec']) *
np.cos(np.radians(ephemerides['dec']))) ** 2)
pos_residuals *= 3600.0 * 1000.0
# Let's just look at the max residuals in all quantities.
for k in ('ra', 'dec', 'dradt', 'ddecdt', 'geo_dist'):
resids = np.abs(ephemerides[k] - pyephemerides[k])
if k != 'geo_dist':
resids *= 3600.0 * 1000.0
print('max diff', k, np.max(resids))
resids = np.abs(ephemerides['elongation'] - pyephemerides['solarelon'])
print('max diff elongation', np.max(resids))
resids = np.abs(ephemerides['vmag'] - pyephemerides['magV'])
print('max diff vmag', np.max(resids))
self.assertLessEqual(np.max(pos_residuals), 2.5)
# Test for single time, but for a subset of the objects.
objIds = self.orbits.orbits.objId.head(3).as_matrix()
ephemerides = chebyValues.getEphemerides(time, objIds)
self.assertEqual(len(ephemerides['ra']), 3)
# Test for time outside of segment range.
ephemerides = chebyValues.getEphemerides(self.tStart + self.interval * 2, objIds, extrapolate=False)
self.assertTrue(np.isnan(ephemerides['ra'][0]),
msg='Expected Nan for out of range ephemeris, got %.2e' %(ephemerides['ra'][0]))
def testReadCoeffs(self):
# Test reading the coefficients from disk.
chebyValues = ChebyValues()
chebyValues.readCoefficients(self.coeffFile)
chebyValues2 = ChebyValues()
chebyValues2.setCoefficients(self.chebyFits)
for k in chebyValues.coeffs:
if k == 'objId':
# Can't test strings with np.test.assert_almost_equal.
np.testing.assert_equal(chebyValues.coeffs[k], chebyValues2.coeffs[k])
else:
# All of these will only be accurate to 2 less decimal places than they are
# print out with in chebyFits. Since vmag, delta and elongation only use 7
# decimal places, this means we can test to 5 decimal places for those.
np.testing.assert_allclose(chebyValues.coeffs[k], chebyValues2.coeffs[k], rtol=0, atol=1e-5)
def testReadCoeffs(self):
# Test reading the coefficients from disk.
chebyValues = ChebyValues()
chebyValues.readCoefficients(self.coeffFile)
chebyValues2 = ChebyValues()
chebyValues2.setCoefficients(self.chebyFits)
for k in chebyValues.coeffs:
if k == 'objId':
# Can't test strings with np.test.assert_almost_equal.
np.testing.assert_equal(chebyValues.coeffs[k], chebyValues2.coeffs[k])
else:
# All of these will only be accurate to 2 less decimal places than they are
# print out with in chebyFits. Since vmag, delta and elongation only use 7
# decimal places, this means we can test to 5 decimal places for those.
np.testing.assert_allclose(chebyValues.coeffs[k], chebyValues2.coeffs[k], rtol=0, atol=1e-5)
class TestJPLValues(unittest.TestCase):
# Test the interpolation-generated RA/Dec values against JPL generated RA/Dec values.
# The resulting errors should be similar to the errors reported from testEphemerides when testing against JPL values.
def setUp(self):
# Read orbits.
self.orbits = Orbits()
self.orbits.readOrbits('jpl_testdata/S0_n747.des', skiprows=1)
# Read JPL ephems.
self.jpl = pd.read_table('jpl_testdata/807_n747.txt', delim_whitespace=True)
# Add times in TAI and UTC, because.
t = Time(self.jpl['epoch_mjd'], format='mjd', scale='utc')
self.jpl['mjdTAI'] = t.tai.mjd
self.jpl['mjdUTC'] = t.utc.mjd
self.jpl = self.jpl.to_records(index=False)
# Generate interpolation coefficients for the time period in the JPL catalog.
self.coeffFile = 'test_coeffs'
self.residFile = 'test_resids'
self.failedFile = 'test_failed'
tStart = self.jpl['mjdTAI'].min() - 0.2
tEnd = np.max([self.jpl['mjdTAI'].max() + 0.2, tStart + 1])
self.chebyFits = ChebyFits(self.orbits, tStart, tEnd,
ngran=64, skyTolerance=2.5, nDecimal=14,
nCoeff_position=14, obscode=807)
self.chebyFits.calcSegmentLength()
self.chebyFits.calcSegments()
self.chebyFits.write(self.coeffFile, self.residFile, self.failedFile, append=False)
self.coeffKeys = ['objId', 'tStart', 'tEnd', 'ra', 'dec', 'delta', 'vmag', 'elongation']
self.chebyValues = ChebyValues()
self.chebyValues.readCoefficients(self.coeffFile)
def tearDown(self):
del self.orbits
del self.jpl
os.remove(self.coeffFile)
os.remove(self.residFile)
if os.path.isfile(self.failedFile):
os.remove(self.failedFile)
def testRADec(self):
# We won't compare Vmag, because this also needs information on trailing losses.
times = np.unique(self.jpl['mjdTAI'])
deltaObjId = np.zeros(len(times), bool)
deltaRA = np.zeros(len(times), float)
deltaDec = np.zeros(len(times), float)
for i, t in enumerate(times):
# Find the JPL objIds visible at this time.
j = self.jpl[np.where(self.jpl['mjdTAI'] == t)]
ephs = self.chebyValues.getEphemerides(t, j['objId'])
ephorder = np.argsort(ephs['objId'])
dRA = np.abs(ephs['ra'][ephorder] - j['ra_deg']) * 3600.0 * 1000.0
dDec = np.abs(ephs['dec'][ephorder] - j['dec_deg']) * 3600.0 * 1000.0
deltaRA[i] = dRA.max()
deltaDec[i] = dDec.max()
# Should be (given OOrb direct prediction):
# Much of the time we're closer than 1mas, but there are a few which hit higher values.
# This is consistent with the errors/values reported by oorb directly in testEphemerides.
self.assertTrue(np.max(deltaRA) < 18)
self.assertTrue(np.max(deltaDec) < 6)
self.assertTrue(np.std(deltaRA) < 2)
self.assertTrue(np.std(deltaDec) < 1)
print 'max JPL errors', deltaRA.max(), deltaDec.max()
print 'std of JPL errors', np.std(deltaRA), np.std(deltaDec)
class TestJPLValues(unittest.TestCase):
# Test the interpolation-generated RA/Dec values against JPL generated RA/Dec values.
# The resulting errors should be similar to the errors reported
# from testEphemerides when testing against JPL values.
def setUp(self):
# Read orbits.
self.orbits = Orbits()
self.jplDir = os.path.join(getPackageDir('sims_movingObjects'), 'tests/jpl_testdata')
self.orbits.readOrbits(os.path.join(self.jplDir, 'S0_n747.des'), skiprows=1)
# Read JPL ephems.
self.jpl = pd.read_table(os.path.join(self.jplDir, '807_n747.txt'), delim_whitespace=True)
# Add times in TAI and UTC, because.
t = Time(self.jpl['epoch_mjd'], format='mjd', scale='utc')
self.jpl['mjdTAI'] = t.tai.mjd
self.jpl['mjdUTC'] = t.utc.mjd
self.jpl = self.jpl.to_records(index=False)
# Generate interpolation coefficients for the time period in the JPL catalog.
self.scratch_dir = tempfile.mkdtemp(dir=ROOT, prefix='TestJPLValues-')
self.coeffFile = os.path.join(self.scratch_dir, 'test_coeffs')
self.residFile = os.path.join(self.scratch_dir, 'test_resids')
self.failedFile = os.path.join(self.scratch_dir, 'test_failed')
tStart = self.jpl['mjdTAI'].min() - 0.2
tEnd = self.jpl['mjdTAI'].max() + 0.2 - self.jpl['mjdTAI'].min()
self.chebyFits = ChebyFits(self.orbits, tStart, tEnd,
ngran=64, skyTolerance=2.5,
nDecimal=14, obscode=807)
self.chebyFits.calcSegmentLength()
self.chebyFits.calcSegments()
self.chebyFits.write(self.coeffFile, self.residFile, self.failedFile, append=False)
self.coeffKeys = ['objId', 'tStart', 'tEnd', 'ra', 'dec', 'geo_dist', 'vmag', 'elongation']
self.chebyValues = ChebyValues()
self.chebyValues.readCoefficients(self.coeffFile)
def tearDown(self):
del self.orbits
del self.jpl
if os.path.exists(self.scratch_dir):
shutil.rmtree(self.scratch_dir)
def testRADec(self):
# We won't compare Vmag, because this also needs information on trailing losses.
times = np.unique(self.jpl['mjdTAI'])
deltaRA = np.zeros(len(times), float)
deltaDec = np.zeros(len(times), float)
for i, t in enumerate(times):
# Find the JPL objIds visible at this time.
j = self.jpl[np.where(self.jpl['mjdTAI'] == t)]
ephs = self.chebyValues.getEphemerides(t, j['objId'])
ephorder = np.argsort(ephs['objId'])
# Sometimes I've had to reorder both, sometimes just the ephs. ??
jorder = np.argsort(j['objId'])
jorder = np.arange(0, len(jorder))
dRA = np.abs(ephs['ra'][ephorder][:,0] - j['ra_deg'][jorder]) * 3600.0 * 1000.0
dDec = np.abs(ephs['dec'][ephorder][:,0] - j['dec_deg'][jorder]) * 3600.0 * 1000.0
deltaRA[i] = dRA.max()
deltaDec[i] = dDec.max()
if deltaRA[i] > 18:
print(j['objId'], ephs['objId'])
print(j['ra_deg'])
print(ephs['ra'])
print(j['dec_deg'])
print(ephs['dec'])
# Should be (given OOrb direct prediction):
# Much of the time we're closer than 1mas, but there are a few which hit higher values.
# This is consistent with the errors/values reported by oorb directly in testEphemerides.
print('max JPL errors', deltaRA.max(), deltaDec.max())
print('std of JPL errors', np.std(deltaRA), np.std(deltaDec))
self.assertLess(np.max(deltaRA), 25)
self.assertLess(np.max(deltaDec), 10)
self.assertLess(np.std(deltaRA), 3)
self.assertLess(np.std(deltaDec), 2)
