Example #1
0
def test_lsst_y_focus():
    # Check that applying reasonable focus depth (from O'Connor++06) indeed leads to smaller spot
    # size for LSST y-band.
    rng = galsim.BaseDeviate(9876543210)
    bandpass = galsim.Bandpass("LSST_y.dat", wave_type='nm')
    sed = galsim.SED("1", wave_type='nm', flux_type='flambda')
    obj = galsim.Gaussian(fwhm=1e-5)
    oversampling = 32
    photon_ops0 = [
        galsim.WavelengthSampler(sed, bandpass, rng=rng),
        galsim.FRatioAngles(1.234, 0.606, rng=rng),
        galsim.FocusDepth(0.0),
        galsim.Refraction(3.9)
    ]
    img0 = obj.drawImage(
        sensor=galsim.SiliconSensor(),
        method='phot',
        n_photons=100000,
        photon_ops=photon_ops0,
        scale=0.2/oversampling,
        nx=32*oversampling,
        ny=32*oversampling,
        rng=rng
    )
    T0 = img0.calculateMomentRadius()
    T0 *= 10*oversampling/0.2  # arcsec => microns

    # O'Connor finds minimum spot size when the focus depth is ~ -12 microns.  Our sensor isn't
    # necessarily the same as the one there though; our minimum seems to be around -6 microns.
    # That could be due to differences in the design of the sensor though.  We just use -6 microns
    # here, which is still useful to test the sign of the `depth` parameter and the interaction of
    # the 4 different surface operators required to produce this effect, and is roughly consistent
    # with O'Connor.

    depth1 = -6.  # microns, negative means surface is intrafocal
    depth1 /= 10  # microns => pixels
    photon_ops1 = [
        galsim.WavelengthSampler(sed, bandpass, rng=rng),
        galsim.FRatioAngles(1.234, 0.606, rng=rng),
        galsim.FocusDepth(depth1),
        galsim.Refraction(3.9)
    ]
    img1 = obj.drawImage(
        sensor=galsim.SiliconSensor(),
        method='phot',
        n_photons=100000,
        photon_ops=photon_ops1,
        scale=0.2/oversampling,
        nx=32*oversampling,
        ny=32*oversampling,
        rng=rng
    )
    T1 = img1.calculateMomentRadius()
    T1 *= 10*oversampling/0.2  # arcsec => microns
    np.testing.assert_array_less(T1, T0)
Example #2
0
bd = galsim.BaseDeviate(12)
depths = np.linspace(-25, 25, 41)  # microns
obj = galsim.Gaussian(sigma=1e-4)
sed = galsim.SED("1", wave_type='nm', flux_type='flambda')

fig, ax = plt.subplots()
oversampling = 16
for filter in ['g', 'z', 'y']:
    bandpass = galsim.Bandpass("LSST_{}.dat".format(filter), wave_type='nm')
    Ts = []
    for depth in depths:
        depth_pix = depth / 10
        surface_ops = [
            galsim.WavelengthSampler(sed, bandpass, rng=bd),
            galsim.FRatioAngles(1.234, 0.606, rng=bd),
            galsim.FocusDepth(depth_pix),
            galsim.Refraction(3.9)  # approx number for Silicon
        ]
        img = obj.drawImage(
            sensor=galsim.SiliconSensor(),
            method='phot',
            n_photons=1_000_000,
            surface_ops=surface_ops,
            scale=0.2 /
            oversampling,  # oversample pixels to better resolve PSF size
            nx=32 * oversampling,  # 6.4 arcsec stamp
            ny=32 * oversampling,
        )
        Ts.append(img.calculateMomentRadius())
    Ts = np.array(Ts) / 0.2 * 10 * oversampling  # convert arcsec -> micron
    ax.scatter(depths, Ts, label=filter)
Example #3
0
def test_focus_depth():
    bd = galsim.BaseDeviate(1234)
    for _ in range(100):
        # Test that FocusDepth is additive
        photon_array = galsim.PhotonArray(1000)
        photon_array2 = galsim.PhotonArray(1000)
        photon_array.x = 0.0
        photon_array.y = 0.0
        photon_array2.x = 0.0
        photon_array2.y = 0.0
        galsim.FRatioAngles(1.234, obscuration=0.606,
                            rng=bd).applyTo(photon_array)
        photon_array2.dxdz[:] = photon_array.dxdz
        photon_array2.dydz[:] = photon_array.dydz
        fd1 = galsim.FocusDepth(1.1)
        fd2 = galsim.FocusDepth(2.2)
        fd3 = galsim.FocusDepth(3.3)
        fd1.applyTo(photon_array)
        fd2.applyTo(photon_array)
        fd3.applyTo(photon_array2)
        np.testing.assert_allclose(photon_array.x,
                                   photon_array2.x,
                                   rtol=0,
                                   atol=1e-15)
        np.testing.assert_allclose(photon_array.y,
                                   photon_array2.y,
                                   rtol=0,
                                   atol=1e-15)
        # Assuming focus is at x=y=0, then
        #   intrafocal (depth < 0) => (x > 0 => dxdz < 0)
        #   extrafocal (depth > 0) => (x > 0 => dxdz > 0)
        # We applied an extrafocal operation above, so check for corresponding
        # relation between x, dxdz
        np.testing.assert_array_less(0, photon_array.x * photon_array.dxdz)

        # transforming by depth and -depth is null
        fd4 = galsim.FocusDepth(-3.3)
        fd4.applyTo(photon_array)
        np.testing.assert_allclose(photon_array.x, 0.0, rtol=0, atol=1e-15)
        np.testing.assert_allclose(photon_array.y, 0.0, rtol=0, atol=1e-15)

    # Check that invalid photon array is trapped
    pa = galsim.PhotonArray(10)
    fd = galsim.FocusDepth(1.0)
    with np.testing.assert_raises(galsim.GalSimError):
        fd.applyTo(pa)

    # Check that we can infer depth from photon positions before and after...
    for _ in range(100):
        photon_array = galsim.PhotonArray(1000)
        photon_array2 = galsim.PhotonArray(1000)
        ud = galsim.UniformDeviate(bd)
        ud.generate(photon_array.x)
        ud.generate(photon_array.y)
        photon_array.x -= 0.5
        photon_array.y -= 0.5
        galsim.FRatioAngles(1.234, obscuration=0.606,
                            rng=bd).applyTo(photon_array)
        photon_array2.x[:] = photon_array.x
        photon_array2.y[:] = photon_array.y
        photon_array2.dxdz[:] = photon_array.dxdz
        photon_array2.dydz[:] = photon_array.dydz
        depth = ud() - 0.5
        galsim.FocusDepth(depth).applyTo(photon_array2)
        np.testing.assert_allclose(
            (photon_array2.x - photon_array.x) / photon_array.dxdz, depth)
        np.testing.assert_allclose(
            (photon_array2.y - photon_array.y) / photon_array.dydz, depth)
        np.testing.assert_allclose(photon_array.dxdz, photon_array2.dxdz)
        np.testing.assert_allclose(photon_array.dydz, photon_array2.dydz)