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)
Esempio n. 2
0
 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)
Esempio n. 5
0
 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)
Esempio n. 6
0
 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]))
Esempio n. 7
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)
Esempio n. 8
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)
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)
Esempio n. 10
0
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)