Beispiel #1
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    def test_shift_blm_s2a4(self):
        # Test if copolar beam does what we expect.
        blmm2 = np.array([0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1j, 0, 0, 0],
                         dtype=np.complex128)
        blmp2 = np.zeros_like(blmm2)
        blmm2, blmp2 = tools.shift_blm(blmm2, blmp2, 4, eb=False)

        blmm2_exp = np.zeros_like(blmm2)
        blmp2_exp = np.array([0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, -1j, 0, 0, 0],
                             dtype=np.complex128)

        np.testing.assert_almost_equal(blmm2, blmm2_exp)
        np.testing.assert_almost_equal(blmp2, blmp2_exp)
Beispiel #2
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    def test_shift_nlm_mimic_unpol2pol(self):
        # Test if shift by -2 is equal to unpol2pol.
        blm = np.array([1, 1, 1, 1, 1, 2, 2, 2, 2j, 3, 3, 3j, 4, 4j, 5j],
                       dtype=np.complex128)
        blmm2, blmp2 = tools.shift_blm(blm, blm, -2, eb=False)
        blmm2_exp, blmp2_exp = tools.unpol2pol(blm)

        # Comparison is not perfect, because unpol2pol will set
        # all l=0 and l=1 elemets to zero. shift_blm does not
        # have that restriction. So, let us manually fix that.
        blmm2[5] = 0

        np.testing.assert_almost_equal(blmm2, blmm2_exp)
        np.testing.assert_almost_equal(blmp2, blmp2_exp)
Beispiel #3
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    def test_shift_blm_shift0(self):

        # Test if shift of 0 leaves input unchanged.
        lmax = 5
        blmE = np.random.randn(hp.Alm.getsize(lmax)).astype(np.complex128)
        blmE += 1j * np.random.randn(hp.Alm.getsize(lmax))
        blmB = np.random.randn(hp.Alm.getsize(lmax)).astype(np.complex128)
        blmB += 1j * np.random.randn(hp.Alm.getsize(lmax))

        blmE[:lmax + 1] = np.real(blmE[:lmax + 1])
        blmB[:lmax + 1] = np.real(blmB[:lmax + 1])

        blmE_new, blmB_new = tools.shift_blm(blmE, blmB, 0)

        np.testing.assert_almost_equal(blmE_new, blmE)
        np.testing.assert_almost_equal(blmB_new, blmB)
Beispiel #4
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    def test_shift_blm_undo_unpol2pol(self):
        # Test if shift by +2 undoes unpol2pol operation.
        blm = np.array([1, 1, 1, 1, 1, 2, 2, 2, 2j, 3, 3, 3j, 4, 4j, 5j],
                       dtype=np.complex128)
        blmm2, blmp2 = tools.unpol2pol(blm)

        blmm2, blmp2 = tools.shift_blm(blmm2, blmp2, 2, eb=False)

        # We now expect that blmm2 and blmp2 are equal to blm again.
        # The only difference is that we have lost some l=0 and l=1
        # elements and some imaginary parts along the way.

        blmm2_exp = np.array([0, 0, 1, 1, 1, 0, 0, 2, 2j, 0, 0, 3j, 0, 0, 0])
        blmp2_exp = np.array([0, 0, 1, 1, 1, 0, 2, 2, 2j, 3, 3, 3j, 4, 4j, 5j])

        np.testing.assert_almost_equal(blmm2, blmm2_exp)
        np.testing.assert_almost_equal(blmp2, blmp2_exp)
Beispiel #5
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    def test_shift_blm_shift4(self):

        blmp2 = np.array([0, 0, -1j, -1j, -1j, 0, 2, 2, 2, 3, 3, 3, 4, 4, 5],
                         dtype=np.complex128)
        blmm2 = np.array(
            [0, 0, 1j, 1j, 1j, 0, 2j, 2j, 2j, 3j, 3j, 3j, 4j, 4j, 5j],
            dtype=np.complex128)

        blmm2_new, blmp2_new = tools.shift_blm(blmm2, blmp2, 4, eb=False)

        blmp2_exp = np.array(
            [0, 0, 0, 0, -5j, 0, 0, 4j, 4j, -3j, -3j, -3j, 2j, 2j, -1j],
            dtype=np.complex128)

        blmm2_exp = np.array([0, 0, 0, 0, 5j, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
                             dtype=np.complex128)

        np.testing.assert_almost_equal(blmm2_new, blmm2_exp)
        np.testing.assert_almost_equal(blmp2_new, blmp2_exp)