示例#1
0
def al_zs1_to_zs2(ai, ZLENS, ZSRC1, ZSRC2):
    '''
        rescale angular movements when the source plane moves from redshif zs1 to zs2.
        Inputs:
            * ai is the deflection angles when lens plane is at zl and source plane is at as, in the units of arcsec.
            * ZLENS is the redshift of lens plane
            * ZSRC1 is the redshift of old source plane
            * ZSRC2 is the redshift of new source plane
        Outputs:
            * res is the new angular movements, in the units of arcsec.
    '''
    res = cm.Da(ZSRC1)/cm.Da2(ZLENS,ZSRC1) * cm.Da2(ZLENS,ZSRC2)/cm.Da(ZSRC2) * ai
    return res
示例#2
0
def ah_to_ai(ah,ZLENS,ZSRC):
    '''
        convert physical deflection angles to angular movements.
        Inputs:
            * ah is the physical deflection angles due to to gravitational lensing, in the units of arcsec.
            * ZLENS is the redshift of lens plane
            * ZSRC is the redshift of source plane
        Outputs:
            * res is the angular movements, in the units of arcsec.
    '''
    res = cm.Da2(ZLENS,ZSRC)/cm.Da(ZSRC) * ah
    return res
示例#3
0
    def _rec_read_xj(self, alpha1_array, alpha2_array, zln, zs, n):

        xx1 = self.inp.xi1
        xx2 = self.inp.xi2
        dsi = self.inp.dsx_arc
        nx1 = self.inp.nnn
        nx2 = self.inp.nnn

        if n == 0:
            return xx1 * 0.0, xx2 * 0.0

        if n == 1:
            xx1.astype('double').tofile(self.inp.xj_path + str(n - 1) +
                                        "_xj1.bin")
            xx2.astype('double').tofile(self.inp.xj_path + str(n - 1) +
                                        "_xj2.bin")
            return xx1, xx2

        if n == 2:
            z2 = zln[1]
            z1 = zln[0]
            z0 = 0

            x01 = xx1 * 0.0
            x02 = xx2 * 0.0

            try:
                x11 = np.fromfile(self.inp.xj_path + str(n - 2) + "_xj1.bin",
                                  dtype='double').reshape((nx1, nx2))
                x12 = np.fromfile(self.inp.xj_path + str(n - 2) + "_xj2.bin",
                                  dtype='double').reshape((nx1, nx2))
            except:
                self.print(
                    "No {} files, recalculate XJ...".format(self.inp.xj_path +
                                                            str(n - 2) +
                                                            "_xj1.bin"))
                x11 = xx1
                x12 = xx2

            aim11 = alpha1_array[n - 2]
            aim12 = alpha2_array[n - 2]

            ahm11 = cf.ai_to_ah(aim11, z1, zs)
            ahm12 = cf.ai_to_ah(aim12, z1, zs)

            bij = cm.Da(z1) * cm.Da2(z0, z2) / (cm.Da(z2) * cm.Da2(z0, z1))
            x21 = x11 * bij - (bij - 1) * x01 - ahm11 * cm.Da2(z1,
                                                               z2) / cm.Da(z2)
            x22 = x12 * bij - (bij - 1) * x02 - ahm12 * cm.Da2(z1,
                                                               z2) / cm.Da(z2)

            x21.astype('double').tofile(self.inp.xj_path + str(n - 1) +
                                        "_xj1.bin")
            x22.astype('double').tofile(self.inp.xj_path + str(n - 1) +
                                        "_xj2.bin")

            return x21, x22

        if n > 2:
            zi = zln[n - 1]
            zim1 = zln[n - 2]
            zim2 = zln[n - 3]

            try:
                xjm21 = np.fromfile(self.inp.xj_path + str(n - 3) + "_xj1.bin",
                                    dtype='double').reshape((nx1, nx2))
                xjm22 = np.fromfile(self.inp.xj_path + str(n - 3) + "_xj2.bin",
                                    dtype='double').reshape((nx1, nx2))
            except:
                self.print(
                    "No {} files, recalculate XJ...".format(self.inp.xj_path +
                                                            str(n - 3) +
                                                            "_xj1.bin"))
                xjm21, xjm22 = self._rec_read_xj(alpha1_array, alpha2_array,
                                                 zln, zs, n - 2)

            try:
                xjm11 = np.fromfile(self.inp.xj_path + str(n - 2) + "_xj1.bin",
                                    dtype='double').reshape((nx1, nx2))
                xjm12 = np.fromfile(self.inp.xj_path + str(n - 2) + "_xj2.bin",
                                    dtype='double').reshape((nx1, nx2))
            except:
                self.print(
                    "No {} files, recalculate XJ...".format(self.inp.xj_path +
                                                            str(n - 2) +
                                                            "_xj1.bin"))
                xjm11, xjm12 = self._rec_read_xj(alpha1_array, alpha2_array,
                                                 zln, zs, n - 1)

            aijm11 = cf.call_inverse_cic(alpha1_array[n - 2], 0.0, 0.0, xjm11,
                                         xjm12, dsi)
            aijm12 = cf.call_inverse_cic(alpha2_array[n - 2], 0.0, 0.0, xjm11,
                                         xjm12, dsi)

            ahjm11 = cf.ai_to_ah(aijm11, zim1, zs)
            ahjm12 = cf.ai_to_ah(aijm12, zim1, zs)

            bij = cm.Da(zim1) * cm.Da2(zim2, zi) / cm.Da(zi) / cm.Da2(
                zim2, zim1)
            xj1 = xjm11 * bij - (bij - 1) * xjm21 - ahjm11 * cm.Da2(
                zim1, zi) / cm.Da(zi)
            xj2 = xjm12 * bij - (bij - 1) * xjm22 - ahjm12 * cm.Da2(
                zim1, zi) / cm.Da(zi)

            xj1.astype('double').tofile(self.inp.xj_path + str(n - 1) +
                                        "_xj1.bin")
            xj2.astype('double').tofile(self.inp.xj_path + str(n - 1) +
                                        "_xj2.bin")

            return xj1, xj2
示例#4
0
    def raytrace_grid_maps_for_zs(self, ZS=None):
        """
        Performs ray tracing at the source planes at redshift ZS. Note: the output files will be closed after
        this function executes, so if needed to be called again, this object will need to be re-initialized.
        Also note that the ray-tracing resolution is set to match that of the density estaimation (there will)
        be a ray traced back to the image plane per-pixel of the density map).

        Parameters
        ----------
        ZS : float array, optional
            redshifts at which to perform ray tracing on the grid points. If None, then use the 
            higher redshift edge of each lens plane in the grid maps as a source plane. Defaults 
            to None. For the single-plane use case, this must be passed and is no longer optional
        """

        self.print(
            '\n---------- creating ray trace maps for halo {} ---------- '.
            format(self.inp.halo_id))
        assert self.kappa_zs0 is not None, "read_grid_maps_zs0() must be called before ray-tracing"

        # define source redshifts at the lens plane edges if not supplied
        ZS0 = self.inp.zs0
        ncc = self.inp.nnn
        if (ZS is None and self.multiplane):
            ZS = self.z_lens_planes
        elif (ZS is None and not self.multiplane):
            raise ValueError('ZS must be specified for a sinlge-plane run!')

        # loop over source redshifts
        for i in range(len(ZS)):

            # check if this lens plane contains the halo
            if (self.multiplane):
                lens_plane_bounds = [
                    self.inp.lens_plane_edges[i],
                    self.inp.lens_plane_edges[i + 1]
                ]
                if lens_plane_bounds[0] < self.inp.halo_redshift and \
                   lens_plane_bounds[1] > self.inp.halo_redshift:
                    group_prefix = 'halo_plane'
                else:
                    group_prefix = 'plane'
            else:
                lens_plane_bounds = None
                group_prefix = 'halo_plane'

            # ------------------------ rescale Lens Data (zs0->zs) --------------------------
            zs = ZS[i]
            zl_array = self.zmedian_lens_planes[self.zmedian_lens_planes <= (
                zs)]
            nzlp = len(zl_array)

            alpha1_array = np.zeros((nzlp, ncc, ncc))
            alpha2_array = np.zeros((nzlp, ncc, ncc))
            kappa0_array = np.zeros((nzlp, ncc, ncc))
            shear1_array = np.zeros((nzlp, ncc, ncc))
            shear2_array = np.zeros((nzlp, ncc, ncc))

            for j in range(nzlp):
                # rescale = conversion from reduced deflection at zs0 and zs
                rescale = cm.Da(ZS0) / cm.Da2(zl_array[j], ZS0) * cm.Da2(
                    zl_array[j], zs) / cm.Da(zs)  # --> check
                kappa0_array[j] = self.kappa_zs0[j] * rescale
                alpha1_array[j] = self.alpha1_zs0[j] * rescale
                alpha2_array[j] = self.alpha2_zs0[j] * rescale
                shear1_array[j] = self.shear1_zs0[j] * rescale
                shear2_array[j] = self.shear2_zs0[j] * rescale

            # ---------------------------- ray-tracing ---------------------------------------

            self.print(
                '-------- ray tracing at source plane {:.3f} --------'.format(
                    zs))
            af1, af2, kf0, sf1, sf2 = self._ray_tracing_all(
                alpha1_array, alpha2_array, kappa0_array, shear1_array,
                shear2_array, zl_array, zs)
            self.print('max values:')
            self.print("kf0 = {}".format(np.max(kf0)))
            self.print("af1 = {}".format(np.max(af1)))
            self.print("af2 = {}".format(np.max(af2)))
            self.print("sf1 = {}".format(np.max(sf1)))
            self.print("sf2 = {}".format(np.max(sf2)))

            # Save Outputs

            if (self.multiplane): zs_group = '{}{}'.format(group_prefix, i)
            else: zs_group = group_prefix
            self.out_file.create_group(zs_group)
            self.out_file[zs_group]['zs'] = np.atleast_1d(zs).astype('float32')
            self.out_file[zs_group]['alpha1'] = af1.astype('float32')
            self.out_file[zs_group]['alpha2'] = af2.astype('float32')
            self.out_file[zs_group]['shear1'] = sf1.astype('float32')
            self.out_file[zs_group]['shear2'] = sf2.astype('float32')
            self.out_file[zs_group]['kappa0'] = kf0.astype('float32')

        self.out_file.close()
        self.print('done')