Пример #1
0
                input("?")

            plt.savefig(plot_savename)

            plot_savename = osjoin(
                plot_folder, "{0}.pspec_wbeam_traceplot.pdf".format(
                    filename.rstrip(".fits")))
            plt.savefig(plot_savename)

            plt.close()

            # OneD spectrum by itself

            plt.figure(figsize=(4.2, 2.9))

            phys_freqs = pspec._spatial_freq_unit_conversion(
                pspec.freqs, u.pc**-1).value

            phys_scales = 1 / phys_freqs

            plt.loglog(phys_scales, pspec.ps1D, 'k', zorder=-10)

            beam_amp = 10**(max(out[0][0], out[0][2]) - 1.)

            plt.loglog(phys_scales[fit_mask],
                       fit_model(freqs, *out[0]),
                       'r--',
                       linewidth=3,
                       label='Fit')
            plt.loglog(phys_scales[fit_mask],
                       beam_amp * beam_model(freqs),
                       'r:',
Пример #2
0
        #     os.system("rm -f {}".format(osjoin(data_path, 'raw', save_name)))

        pspec = PowerSpectrum(proj)  # , distance=dist)
        pspec.run(verbose=False, beam_correct=False, fit_2D=False,
                  high_cut=0.1 / u.pix,
                  use_pyfftw=False, threads=1,)
                  # apodize_kernel=fitinfo_dict[name]['apod_kern'])

        # Plot 2D spec, 1D pspec, img

        im0 = ax[0].imshow(np.log10(pspec.ps2D), origin='lower', cmap='viridis')
        fig.colorbar(im0, ax=ax[0])

        # Convert to angular units
        xunit = u.arcsec**-1
        ang_freqs = pspec._spatial_freq_unit_conversion(pspec.freqs, xunit).value

        ax[1].loglog(ang_freqs, pspec.ps1D)
        ax[1].set_xlabel("Spat freq (1/arcsec)")
        ax[1].set_title(name)

        major = fitinfo_dict[name]['beam'].major.to(u.arcsec)
        ax[1].axvline(1 / major.value, linestyle='--', color='k')

        im2 = ax[2].imshow(proj.value, origin='lower', cmap='viridis',
                           vmax=np.nanpercentile(proj.value, 99),
                           vmin=np.nanpercentile(proj.value, 10))
        fig.colorbar(im2, ax=ax[2])

        one_ax.loglog(ang_freqs, pspec.ps1D, label=name)
        one_ax.set_xlabel("Spat freq (1/arcsec)")
        fit_pspec_model(freqs, ps1D,
                        ps1D_stddev,
                        beam_model=beam_model,
                        nsamp=nsamp,
                        fixB=fixB,
                        noise_term=noise_term)

    print(out)

    tr_plot = pm.traceplot(trace)

    corn_plot = pm.pairplot(trace)

    fig = plt.figure(figsize=(8.4, 2.9))

    phys_freqs = pspec_sat._spatial_freq_unit_conversion(
        pspec_sat.freqs, u.pc**-1).value

    phys_scales = 1 / phys_freqs

    # Saturated HI pspec w/fit
    ax = fig.add_subplot(121)

    ax.loglog(phys_scales, pspec_sat.ps1D, 'k', zorder=-10)

    beam_amp = 10**(max(out[0][0], out[0][2]) - 1.)

    ax.loglog(phys_scales[fit_mask],
              fit_model(freqs, *out[0]),
              'r--',
              linewidth=3,
              label='Fit')
        plot_folder,
        "{0}_spire500.deproj.pspec_wbeam_traceplot.png".format(gal))
    plt.savefig(plot_savename)

    plt.close()

    # (2) Both power-spectra with their respective fits.

    plt.figure(figsize=(4.2, 2.9))

    phys_freqs = pspec._spatial_freq_unit_conversion(pspec.freqs,
                                                     u.pc**-1).value

    phys_scales = 1 / phys_freqs

    phys_freqs_dep = pspec_dep._spatial_freq_unit_conversion(
        pspec_dep.freqs, u.pc**-1).value

    phys_scales_dep = 1 / phys_freqs_dep

    plt.loglog(phys_scales, pspec.ps1D, 'k', zorder=-10, label='Original')
    plt.loglog(phys_scales_dep,
               pspec_dep.ps1D,
               'k--',
               zorder=-10,
               label='Deprojected')

    # beam_amp = 10**(max(out[0][0], out[0][2]) - 1.)

    logA = fit_results['logA'][-2]
    ind = fit_results['ind'][-2]
    pars = [logA, ind]