コード例 #1
0
def test_combine_fsf():
    lbrange = [4750.0, 9350.0]
    beta_pol = [
        0.425572268419153, -0.963126218379342, -0.0014311681713689742,
        -0.0064324103352929405, 0.09098701358534873, 2.0277399948419843
    ]
    fwhm_pol = [
        0.6321570666462952, -0.06284858095522032, 0.04282359923274102,
        0.045673032671778586, -0.1864068502712748, 0.3693082688212182
    ]
    fsf1 = MoffatModel2(fwhm_pol, beta_pol, lbrange, 0.2)

    fwhm_pol = [
        0.6539648695212446, -0.09803896219961082, 0.0768935513209841,
        0.13029884613164275, -0.30890727537189494, 0.4420737174631386
    ]
    beta_pol = [
        1.3422018214910905, -1.0824007679002177, 0.0654899276450118,
        0.5566091154793532, -0.4488955513549307, 1.7496593644278122
    ]
    fsf2 = MoffatModel2(fwhm_pol, beta_pol, lbrange, 0.2)

    fsf, cube = combine_fsf([fsf1, fsf1])
    assert_allclose(fsf.get_fwhm(7000), fsf1.get_fwhm(7000), rtol=1.e-6)
    assert_allclose(fsf.get_beta(7000), fsf1.get_beta(7000), rtol=1.e-6)

    fsf, cube = combine_fsf([fsf1, fsf2])
    assert_allclose(fsf.get_fwhm(7000), 0.397959, rtol=1.e-2)
    assert_allclose(fsf.get_beta(7000), 1.843269, rtol=1.e-2)
コード例 #2
0
ファイル: test_fsf.py プロジェクト: musevlt/mpdaf
def test_fsf_model_errors():
    # This cube has no FSF info
    with pytest.raises(ValueError):
        FSFModel.read(get_data_file('sdetect', 'minicube.fits'))

    with pytest.raises(ValueError):
        find_model_cls(fits.Header({'FSFMODE': 5}))

    with pytest.raises(ValueError):
        MoffatModel2.from_header(fits.Header(), 0)

    for hdr in [fits.Header(),
                fits.Header({'FSFLB1': 5000, 'FSFLB2': 9000}),
                fits.Header({'FSFLB1': 9000, 'FSFLB2': 5000})]:
        with pytest.raises(ValueError):
            MoffatModel2.from_header(hdr, 0)
コード例 #3
0
ファイル: test_fsf.py プロジェクト: musevlt/mpdaf
def test_fsf_convolve():
    lbrange = [4750.0, 9350.0]
    beta_pol = [0.425572268419153, -0.963126218379342, -0.0014311681713689742,
                -0.0064324103352929405, 0.09098701358534873, 2.0277399948419843]
    fwhm_pol = [0.6321570666462952, -0.06284858095522032, 0.04282359923274102,
                0.045673032671778586, -0.1864068502712748, 0.3693082688212182]
    fsf = MoffatModel2(fwhm_pol, beta_pol, lbrange, 0.2)

    fsf2 = fsf.convolve(cfwhm=0.1)
    assert_allclose(fsf2.get_fwhm(7000), 0.3919, rtol=1e-3)
    assert_allclose(fsf2.get_beta(7000), 2.1509, rtol=1e-3)