Commit a2fd4983 authored by Andrea Giannetti's avatar Andrea Giannetti
Browse files

Updated POC script to produce figures and tables

parent 3cf798dc
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+5 −1
Original line number Diff line number Diff line
@@ -69,7 +69,11 @@ def main(ratios_to_fit: Union[List[str], None] = None):
        plt.scatter(data_clean[_column_to_fit], data_clean['avg_nh2'], marker='+', alpha=0.1, color='red')
        for components in x0[ratio_string]:
            plt.plot(x_reg, approx(x_reg, *components), color='cyan')
        plt.show()
        plt.savefig(os.path.join('..',
        'publications',
        '6373bb408e4040043398e495',
        'referee',
        f'analytical_expressions_comparison_{ratio_string}.png'))


if __name__ == '__main__':
+2 −2
Original line number Diff line number Diff line
@@ -86,7 +86,7 @@ def make_volume_densities_comparison_figure(df_full: pd.DataFrame):
                 df_merge['best_fit'],
                 yerr=uncertainty_array,
                 fmt='none')
    plt.plot([2e4, 8e5], [2e4, 8e6], color='red')
    plt.plot([2e4, 2e6], [2e4, 2e6], color='red')
    plt.loglog()
    plt.xlabel('<$n$(H$_{2, dust}$)> [cm$^{-3}$]')
    plt.ylabel('<$n$(H$_{2, SAK}$)> [cm$^{-3}$]')
@@ -98,10 +98,10 @@ def make_volume_densities_comparison_figure(df_full: pd.DataFrame):
def main():
    df_full = get_poc_results(line_fit_filename='ch3oh_data_top35.csv')
    df_full.rename(columns={'class_phys': 'Class'}, inplace=True)
    make_volume_densities_comparison_figure(df_full=df_full)
    df_full = df_full[(df_full['mass'] < 10000) & (df_full['mass'] > 300)]
    make_ecdf_figure(df_full=df_full)
    make_violin_figure(df_full=df_full)
    make_volume_densities_comparison_figure(df_full=df_full)


if __name__ == '__main__':
+11 −11
Original line number Diff line number Diff line
@@ -61,21 +61,21 @@ remap_columns = OrderedDict([
    ('hpd_interval', ('67\%  HPD', density_format)),
    ('mass', ('Mass', '$[10^2 \mathrm{M_\odot}]$')),
    ('distance', ('Distance', '[kpc]')),
    ('tpeak_86', ('$T_{MB, 86}$', '[K]')),
    ('tpeak_86', ('$T_{MB,(2_{-1}-1_{-1})}$', '[K]')),
    ('linewidth_86', ('$FWHM_{(2_K-1_K)}$', fwhm_units)),
    ('tpeak_87', ('$T_{MB, 87}$', '[K]')),
    ('tpeak_87', ('$T_{MB,(2_{0}-1_{0})}$', '[K]')),
    ('linewidth_87', ('$FWHM_{87}$', '[km s$^{-1}]$')),
    ('tpeak_88', ('$T_{MB, 88}$', '[K]')),
    ('tpeak_88', ('$T_{MB,(2_{1}-1_{1})}$', '[K]')),
    ('linewidth_88', ('$FWHM_{88}$', '[km s$^{-1}]$')),
    # ('rms_noise_86', ('$\sigma_{96.7GHz}$', '[K]')),
    ('tpeak_256', ('$T_{MB, 256}$', '[K]')),
    ('tpeak_256', ('$T_{MB,(5_{0}-4_{0})}$', '[K]')),
    ('linewidth_256', ('$FWHM_{256}$', fwhm_units)),
    ('tpeak_257', ('$T_{MB, 257}$', '[K]')),
    ('tpeak_257', ('$T_{MB,(5_{-1}-4_{-1})}$', '[K]')),
    ('linewidth_257', ('$FWHM_{(5_K-4_K)}$', fwhm_units)),
    # ('rms_noise_256', ('$\sigma_{241.7GHz}$', '[K]')),
    ('tpeak_380', ('$T_{MB, 380}$', '[K]')),
    ('tpeak_380', ('$T_{MB,(7_{0}-6_{0})}$', '[K]')),
    ('linewidth_380', ('$FWHM_{380}$', fwhm_units)),
    ('tpeak_381', ('$T_{MB, 381}$', '[K]')),
    ('tpeak_381', ('$T_{MB,(7_{-1}-6_{-1})}$', '[K]')),
    ('linewidth_381', ('$FWHM_{(7_K-6_K)}$', fwhm_units)),
    # ('rms_noise_380', ('$\sigma_{338.3GHz}$', '[K]')),
])
@@ -98,14 +98,14 @@ with open(os.path.join('prs', 'output', 'poc_tables', 'fit_results.tex'), 'w') a
    outfile.write(latex_table)

table_cols = [
    [('Source', ''), ('$T_{MB, 86}$', '[K]'), ('$T_{MB, 87}$', '[K]'), ('$T_{MB, 88}$', '[K]'), ('$FWHM_{(2_K-1_K)}$',
    [('Source', ''), ('$T_{MB,(2_{-1}-1_{-1})}$', '[K]'), ('$T_{MB,(2_{0}-1_{0})}$', '[K]'), ('$T_{MB,(2_{1}-1_{1})}$', '[K]'), ('$FWHM_{(2_K-1_K)}$',
                                                                                                 fwhm_units)],
    [('Source', ''), ('$T_{MB, 256}$', '[K]'), ('$T_{MB, 257}$', '[K]'), ('$FWHM_{(5_K-4_K)}$', fwhm_units), ('$T_{MB, 380}$', '[K]'), ('$T_{MB, 381}$', '[K]'), ('$FWHM_{(7_K-6_K)}$',
    [('Source', ''), ('$T_{MB,(5_{0}-4_{0})}$', '[K]'), ('$T_{MB,(5_{-1}-4_{-1})}$', '[K]'), ('$FWHM_{(5_K-4_K)}$', fwhm_units), ('$T_{MB,(7_{0}-6_{0})}$', '[K]'), ('$T_{MB,(7_{-1}-6_{-1})}$', '[K]'), ('$FWHM_{(7_K-6_K)}$',
                                                                                                                                                         fwhm_units), ]
]
captions = [
    'Line properties of the lines in the $(2_K-1_K)$ methanol band. Only one FWHM is listed because the fit is performed forcing all lines to have the same width. A non-detection is indicated with three dots.',
    'Line properties of the lines in the $(5_K-4_K)$ and $(7_K-6_K)$ methanol bands. Only one FWHM is listed per band because the fit is performed forcing all lines to have the same width. A non-detection is indicated with three dots, while missing data are indicated with \'N/A\'.',
    "Line properties of the lines in the $(2_K-1_K)$ methanol band. Only one FWHM is listed because the fit is performed forcing all lines to have the same width. The main-beam temperature of the lines is indicated as $T_{MB,J_K-J',_K'}$. A non-detection is indicated with three dots.",
    "Line properties of the lines in the $(5_K-4_K)$ and $(7_K-6_K)$ methanol bands. Only one FWHM is listed per band because the fit is performed forcing all lines to have the same width. The main-beam temperature of the lines is indicated as $T_{MB,J_K-J',_K'}$. A non-detection is indicated with three dots, while missing data are indicated with \'N/A\'.",
]
labels = [
    'tab:poc_lines_3mm',