Пример #1
0
def do_analysis(minuit_new=False):
    global emin,emax
    if method=='polychord':
        polychord=True
    else:
        polychord=False
    b.run_tag = run_tag_energy
    tri = fa.make_triangle(b,run_tag_energy,edep=True,polychord=polychord,minuit_new=minuit_new)
    tri.make_triangle()

    sle = fa.save_log_evidence(b,edep=True,polychord=polychord)


    spect_dir = work_dir + 'data/spect/'
    if not os.path.exists(spect_dir):
        os.mkdir(spect_dir)
    if save_norm_label != 'False' and save_norm_label != 'false':
        cs = fa.compute_spectra(b,run_tag_energy,f.CTB_en_bins[0],f.CTB_en_bins[-1],edep=True,plane_mask=plot_plane_mask,band_mask_range = [-plot_pmval,plot_pmval],lcut=plot_lcut,lmin=plot_lmin,lmax=plot_lmax,bcut=plot_bcut,bmin=plot_bmin,bmax=plot_bmax,mask_ring=plot_mask_ring,outer=plot_outer,inner=plot_inner,minuit_new = minuit_new,input_mask=force_ps_mask,the_input_mask=b.mask_total) # spectra over the whole energy range
        cs.mask_total_dict['bubs']=np.logical_not(b.templates_dict_nested['bubs']['summed_templates_not_compressed'])
        cs.make_spectra_dict()
        cs.make_norm_dict()
        cs.save_spectra_dict(spect_dir + save_spect_label,emin,emax,over_write= False)
        cs.save_norm_dict(spect_dir + save_norm_label,emin,emax,over_write= False)
    else:
        cs = fa.compute_edep_spectra(b,run_tag_energy,b.CTB_en_bins,polychord=polychord,plane_mask=plot_plane_mask,band_mask_range = [-plot_pmval,plot_pmval],lcut=plot_lcut,lmin=plot_lmin,lmax=plot_lmax,bcut=plot_bcut,bmin=plot_bmin,bmax=plot_bmax,mask_ring=plot_mask_ring,outer=plot_outer,inner=plot_inner,minuit_new = minuit_new,input_mask=force_ps_mask,the_input_mask=b.mask_total) #,edep=True)
        cs.make_spectra_dict()
        cs.save_spectra_dict(spect_dir + save_spect_label)

    if n_ebins>1:
        ##plot spectrum
        msp_inst = msp.make_spectra_plot(spect_dir + save_spect_label + '.npy')
        if not fixed_background:
            msp_inst.plot_spectra_median('back',color='Orange',label='back',linestyle='-')
        if nfw_dm:
            msp_inst.plot_spectra_median('nfw',color='Chartreuse',label='nfw',linestyle='-')
        if not fixed_background:
            msp_inst.plot_spectra_band('back',interpolate=True, alpha=0.5,linewidth=0,facecolor='Orange')
        if nfw_dm:
            msp_inst.plot_spectra_band('nfw',interpolate=True, alpha=0.5,linewidth=0,facecolor='Chartreuse')
        if not poiss:
            colors=['Blue','Green','Purple'][0:len(ps_list)]
            for mod,color in map(None,ps_list,colors):
                msp_inst.plot_spectra_median(mod + '-np',color=color,label=mod+'-np',linestyle='--')
                msp_inst.plot_spectra_band(mod + '-np',interpolate=True, alpha=0.5,linewidth=0,facecolor=color)

        plt.axhline(y=0.,color='k',ls='dashed')
        plt.xscale('log')
        plt.xlabel('E [GeV]', fontsize=14)
        plt.ylabel('$E^2 dN / dE$  [GeV / cm$^2$ / s / sr]', fontsize=18)
        plt.title('Spectrum',fontsize=14)
        plt.legend(fontsize=12,loc=3)
        plt.savefig(b.plots_dir_for_run + save_spect_label + '.pdf',bbox_inches='tight')
        plt.close()
    if not poiss:
        print 'medians: ', b.medians_not_log
        print 'norm_non_poiss: ', b.norms_non_poiss
        ##save PS templates/medians
        if len(ps_save_list)>0:
            for comp, filename in map(None,ps_save_list,ps_save_filename_list):
                spti=fa.save_ps_template_info(b,run_tag_energy,edep=True,polychord=polychord,minuit_new = minuit_new)
                spti.save_ps_template(comp,filename)
        ##plot dn/ds across energies
        for ebin_num in range(b.number_energy_bins):
            p3FGL = fa.plot_3FGL(f,CTB_en_min=b.CTB_en_bins[ebin_num],CTB_en_max=b.CTB_en_bins[ebin_num+1],plane_mask=plot_plane_mask,band_mask_range = [-plot_pmval,plot_pmval],lcut=plot_lcut,lmin=plot_lmin,lmax=plot_lmax,bcut=plot_bcut,bmin=plot_bmin,bmax=plot_bmax,mask_ring=plot_mask_ring,outer=plot_outer,inner=plot_inner,input_mask=force_ps_mask,the_input_mask=b.mask_total)
            p3FGL.configure_3FGL(flux_min=10**-12,flux_max=10**-8,n_flux_bins = 25,only_gal = not(high_lat),error_range = 0.68) 
            pdnds = fa.plot_dnds(b,plane_mask=plot_plane_mask,band_mask_range = [-plot_pmval,plot_pmval],lcut=plot_lcut,lmin=plot_lmin,lmax=plot_lmax,bcut=plot_bcut,bmin=plot_bmin,bmax=plot_bmax,mask_ring=plot_mask_ring,outer=plot_outer,inner=plot_inner,input_mask=force_ps_mask,the_input_mask=b.mask_total)
            plt.figure(figsize=(8,6))
            p3FGL.plot_3FGL(fmt = 'o', color='black',markersize=7,label='3FGL PS')
            colors=['Orange','Chartreuse','Blue'][0:len(ps_list)]
            line_colors=['Red','Green','Purple'][0:len(ps_list)]
            alpha_list=[1,0.75,0.5][0:len(ps_list)]
            for mod,color,line_color,alpha in map(None,ps_list,colors,line_colors,alpha_list):
                print 'plotting source-count function for ', mod
                pdnds.plot_source_count_band(mod,edep=True,ebin=ebin_num,nsteps=100,calculate_dnds=True,facecolor=color,interpolate=True, alpha=alpha,linewidth=0)
                pdnds.plot_source_count_median(mod,edep=True,ebin=ebin_num,color=line_color,linestyle='--',label=mod + ' (median)')
            if len(ps_fixed_filename_list) > 0:
                for comp in map(None,ps_fixed_list):
                    pdnds.plot_fixed_source_count(comp,ebin=ebin_num,linestyle='-',label=comp + ' (fixed)')
            plt.xscale('log')
            plt.yscale('log')
            plt.ylim((2*10**(5),10**12))
            plt.xlim(10**-12., 10**-8.)
            plt.tick_params(axis='x', length=5,width=2,labelsize=18)
            plt.tick_params(axis='y',length=5,width=2,labelsize=18)
            plt.xlabel('$F$  [photons / cm$^2$ / s]', fontsize=18)
            plt.ylabel('$dN/dF$  [photons$^{-1}$ cm$^2$ s deg$^{-2}$]', fontsize=18)
            plt.legend(fontsize=15)
            plt.title('Energy: '+str(np.round(b.CTB_en_bins[ebin_num],3)) + '-'+str(np.round(b.CTB_en_bins[ebin_num+1],3)),fontsize=15)
            plt.savefig(b.plots_dir_for_run + 'dnds_plot_en_'+str(np.round(b.CTB_en_bins[ebin_num],3)) + '-'+str(np.round(b.CTB_en_bins[ebin_num+1],3)) + '.pdf',bbox_inches='tight')
            plt.close()
#perform scan / load scan
if run:
    print 'The nside for this scan is ', b.nside
    b.perform_scan(run_tag = run_tag_energy)
if analysis:
    b.run_tag = run_tag_energy
    #make triangle plot
    tri = fa.make_triangle(b,run_tag_energy,edep=True)
    tri.make_triangle()

    sle = fa.save_log_evidence(b,edep=True)
    spect_dir = work_dir + 'data/spect/' 
    if not os.path.exists(spect_dir):
        os.mkdir(spect_dir)
    if computing_spectra:
        #(self,b,run_tag,En_min,En_max,edep=False,ebin=0,*args,**kwargs)
        cs = fa.compute_spectra(b,run_tag_energy,b.CTB_en_bins[0],b.CTB_en_bins[-1], band_mask_range = [-mask_b_plot,mask_b_plot],mask_ring = False,edep=True) 
        cs.mask_total_dict['bubs']=np.logical_not(b.templates_dict_nested['bubs']['summed_templates_not_compressed'])
        cs.make_spectra_dict()
        cs.make_norm_dict()
        if save_spect_label != 'False' or save_spect_label != 'false':
            cs.save_spectra_dict(spect_dir + save_spect_label,emin,emax,over_write= False)
        if save_norm_label != 'False' or save_norm_label != 'false':
            cs.save_norm_dict(spect_dir + save_norm_label,emin,emax,over_write= False)
    else:
        cs = fa.compute_edep_spectra(b,run_tag_energy,b.CTB_en_bins,band_mask_range = [-mask_b_plot,mask_b_plot],mask_ring=False,edep=True) #spectra over whole energy range
        cs.make_spectra_dict()
        cs.save_spectra_dict(spect_dir + save_spect_label)


        b.perform_scan_polychord(run_tag = run_tag_energy)
    else:
        b.perform_scan(run_tag = run_tag_energy)
if analysis:
    b.run_tag = run_tag_energy
    #make triangle plot
    tri = fa.make_triangle(b,run_tag_energy,edep=True,polychord=polychord)
    tri.make_triangle()

    sle = fa.save_log_evidence(b,edep=True,polychord=polychord)

    
    spect_dir = work_dir + 'data/spect/' 
    if not os.path.exists(spect_dir):
        os.mkdir(spect_dir)
    cs = fa.compute_edep_spectra(b,run_tag_energy,b.CTB_en_bins,polychord=polychord,band_mask_range = [-mask_b_plot,mask_b_plot],mask_ring = True,outer=outer_plot) #spectra over whole energy range
    #cs.mask_total_dict['bubs']=np.logical_not(b.templates_dict_nested['bubs']['summed_templates_not_compressed'])
    cs.make_spectra_dict()
    cs.save_spectra_dict(spect_dir + save_spect_label)

    ##plot spectrum
    msp_inst = msp.make_spectra_plot(spect_dir + save_spect_label + '.npy')
    if not fixed_background:
        msp_inst.plot_spectra_median('back',color='Orange',label='back',linestyle='-')
    if nfw_dm:
        msp_inst.plot_spectra_median('nfw',color='Chartreuse',label='nfw',linestyle='-')
    if not fixed_background:
        msp_inst.plot_spectra_band('back',interpolate=True, alpha=0.5,linewidth=0,facecolor='Orange')
    if nfw_dm:
        msp_inst.plot_spectra_band('nfw',interpolate=True, alpha=0.5,linewidth=0,facecolor='Chartreuse')
    if not poiss: