def plot_dnds():
kwargs_spectrum={ 'band_mask_range': [-1,1],'mask_ring': True, 'outer': 10}
if just_disk:
p3FGL = fa.plot_3FGL(f,only_gal=False,CTB_en_min=b_disk.CTB_en_min,CTB_en_max=b_disk.CTB_en_max,**kwargs_spectrum)
p3FGL.configure_3FGL(flux_min=flux_min,flux_max=flux_max,n_flux_bins = n_flux_bins,error_range = error_range)
pdnds_disk_only = fa.plot_dnds(b_disk,**kwargs_spectrum) #again, same kwargs
plt.figure(figsize=(8,6))
#plot medians
pdnds_disk_only.plot_source_count_median('disk',smin=0.01,smax=1000,nsteps=1000,calculate_dnds=True,edep=True,ebin=0,color='orange',label='disk')
#plot band
pdnds_disk_only.plot_source_count_band('disk',smin=0.01,smax=1000,nsteps=1000,calculate_dnds=True,edep=True,ebin=0,qs=[0.16,0.5,0.84],color='orange',label='disk',alpha=0.5)
#also show 3FGL
p3FGL.plot_3FGL(fmt = 'o', color='black',markersize=7,label='3FGL')
plt.legend(fontsize=16)
plt.yscale('log')
plt.xscale('log')
plt.xlim([5e-11,5e-9])
plt.ylim([1e6,1e11])
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.savefig(b_disk.plots_dir_for_run + 'dnds.pdf',bbox_inches='tight')
plt.close()
if plus_IPS:
p3FGL = fa.plot_3FGL(f,only_gal=False,CTB_en_min=b_plus_IPS.CTB_en_min,CTB_en_max=b_plus_IPS.CTB_en_max,**kwargs_spectrum)
p3FGL.configure_3FGL(flux_min=flux_min,flux_max=flux_max,n_flux_bins = n_flux_bins,error_range = error_range)
pdnds_plus_iso = fa.plot_dnds(b_plus_IPS,**kwargs_spectrum) #again, same kwargs
########fist plot with disk, NFW, iso
plt.figure(figsize=(8,6))
#plot medians
pdnds_plus_iso.plot_source_count_median('nfw',smin=0.01,smax=1000,nsteps=1000,calculate_dnds=True,edep=True,ebin=0,color='blue',label='nfw')
pdnds_plus_iso.plot_source_count_median('disk',smin=0.01,smax=1000,nsteps=1000,calculate_dnds=True,edep=True,ebin=0,color='orange',label='disk')
#plot band
pdnds_plus_iso.plot_source_count_band('nfw',smin=0.01,smax=1000,nsteps=1000,calculate_dnds=True,edep=True,ebin=0,qs=[0.16,0.5,0.84],color='blue',label='nfw',alpha=0.5)
pdnds_plus_iso.plot_source_count_band('disk',smin=0.01,smax=1000,nsteps=1000,calculate_dnds=True,edep=True,ebin=0,qs=[0.16,0.5,0.84],color='orange',label='disk',alpha=0.5)
#also show 3FGL
p3FGL.plot_3FGL(fmt = 'o', color='black',markersize=7,label='3FGL')
plt.legend(fontsize=16)
plt.yscale('log')
plt.xscale('log')
plt.xlim([5e-11,5e-9])
plt.ylim([1e6,1e11])
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.savefig(b_plus_IPS.plots_dir_for_run + 'dnds.pdf',bbox_inches='tight')
plt.close()
def analysis():
fake_data_key_path = NDI_plots_dir + 'FD_key.txt.gz'
p3FGL = fa.plot_3FGL(f_NDI,CTB_en_min=f_NDI.CTB_en_bins[0],CTB_en_max=f_NDI.CTB_en_bins[-1],band_mask_range = [-2,2], mask_ring = True, outer = 10)
p3FGL.configure_3FGL(flux_min=10**-12,flux_max=10**-8,n_flux_bins = 25,only_gal = True,error_range = 0.68)
plt.figure(figsize=(8,6))
p3FGL.plot_3FGL(fmt = 'o', color='black',markersize=7,label='3FGL PS')
pfake3FGL = sa.make_flux_histogram(fake_data_key_path,f_NDI.CTB_exposure_maps,band_mask_range = [-2,2], mask_ring = True, outer = 10)
pfake3FGL.make_fake_data_flux_histogram(0.1,500,25)
pfake3FGL.plot_fake_data_histogram(fmt = 'o', color='blue',markersize=5,label='sim PS')
plt.yscale('log')
plt.xscale('log')
plt.yscale('log')
plt.xscale('log')
plt.xlim([5e-11,5e-9])
plt.ylim([1e6,1e11])
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=16)
plt.savefig(NDI_plots_dir + 'dnds_fake_data.pdf')
plt.close()
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()
plt.figure(figsize=(8,6))
pflux = fa.plot_flux_fraction(b,band_mask_range = [-mask_b_plot,mask_b_plot], mask_ring = True, outer = outer_plot)
pflux.plot_flux_fraction_poiss('nfw',color_vert = 'Red',drawstyle='steps-mid',label = 'NFW DM',color='Red')
plt.legend(fontsize=18)
plt.xlabel('fraction of flux [%]', fontsize=18)
plt.ylabel('posterior probability', fontsize=18)
plt.tick_params(axis='x', length=5,width=2,labelsize=18)
plt.tick_params(axis='y', length=5,width=2,labelsize=18)
plt.ylabel('posterior probability', fontsize=18)
plt.ylim(0, 0.25)
plt.xlim(0, 20.3)
plt.savefig(b.plots_dir_for_run + 'flux_fraction_plot.pdf')
plt.close()
else:
###plot dn/ds
p3FGL = fa.plot_3FGL(f,band_mask_range = [-mask_b_plot,mask_b_plot], mask_ring = True, outer = outer_plot)
p3FGL.configure_3FGL(flux_min=10**-12,flux_max=10**-9,n_flux_bins = 25,only_gal = True,error_range = 0.68) #flux_min=10**-11,flux_max=10**-8,
pdnds = fa.plot_dnds(b,band_mask_range = [-mask_b_plot,mask_b_plot], mask_ring = True, outer = outer_plot)
plt.figure(figsize=(8,6))
p3FGL.plot_3FGL(fmt = 'o', color='black',markersize=7,label='3FGL PS')
pdnds.plot_source_count_band('nfw',nsteps=10000,calculate_dnds=True,facecolor='Orange',interpolate=True, alpha=1,linewidth=0)
pdnds.plot_source_count_median('nfw',color='Red',linestyle='--',label='3FGL masked (median)')
pdnds.plot_source_count_mean('nfw',color='Red',label='3FGL masked (mean)')
plt.xscale('log')
plt.yscale('log')
plt.ylim((2*10**(7),10**12))
plt.xlim(10**-12., 10**-9.)
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)
fake_data_key_path = '/tigress/nrodd/NPTFWorking/FindPS/plots/' + keyfile
CTB_start_bin=0
CTB_end_bin=28
nside=512
data_type='p8'
band_mask_range_plot = [-0.5,0.5]
mask_ring_plot = True
outer_plot = 10
f = sim.fake_fermi_data(maps_dir,CTB_en_min=CTB_start_bin,CTB_en_max=CTB_end_bin,nside=nside,data_name=data_type)
p3FGL = fa.plot_3FGL(f,CTB_en_min=f.CTB_en_bins[0],CTB_en_max=f.CTB_en_bins[-1],band_mask_range = band_mask_range_plot, mask_ring = mask_ring_plot, outer = outer_plot)
p3FGL.configure_3FGL(flux_min=10**-12,flux_max=10**-5,n_flux_bins = 50,only_gal = True,error_range = 0.68)
plt.figure(figsize=(8,6))
p3FGL.plot_3FGL(fmt = 'o', color='black',markersize=7,label='3FGL PS')
pfake3FGL = sa.make_flux_histogram(fake_data_key_path,f.CTB_exposure_maps,band_mask_range = band_mask_range_plot, mask_ring = mask_ring_plot, outer = outer_plot)
pfake3FGL.make_fake_data_flux_histogram(0.1,5000,50)
pfake3FGL.plot_fake_data_histogram(fmt = 'o', color='blue',markersize=5,label='sim PS')
plt.yscale('log')
plt.xscale('log')
plt.yscale('log')
plt.xscale('log')
plt.xlim([5e-11,5e-5])
plt.ylim([1e2,1e11])
def plot_dnds():
kwargs_spectrum = {"band_mask_range": [-1, 1], "mask_ring": True, "outer": 10}
if just_disk:
p3FGL = fa.plot_3FGL(
f, only_gal=False, CTB_en_min=b_disk.CTB_en_min, CTB_en_max=b_disk.CTB_en_max, **kwargs_spectrum
)
p3FGL.configure_3FGL(flux_min=flux_min, flux_max=flux_max, n_flux_bins=n_flux_bins, error_range=error_range)
pdnds_disk_only = fa.plot_dnds(b_disk, **kwargs_spectrum) # again, same kwargs
plt.figure(figsize=(8, 6))
# plot medians
pdnds_disk_only.plot_source_count_median(
"disk",
smin=0.01,
smax=1000,
nsteps=1000,
calculate_dnds=True,
edep=True,
ebin=0,
color="orange",
label="disk",
)
pdnds_disk_only.plot_source_count_median(
"iso", smin=0.01, smax=1000, nsteps=1000, calculate_dnds=True, edep=True, ebin=0, color="green", label="iso"
)
# plot band
pdnds_disk_only.plot_source_count_band(
"disk",
smin=0.01,
smax=1000,
nsteps=1000,
calculate_dnds=True,
edep=True,
ebin=0,
qs=[0.16, 0.5, 0.84],
color="orange",
label="disk",
alpha=0.5,
)
pdnds_disk_only.plot_source_count_band(
"iso",
smin=0.01,
smax=1000,
nsteps=1000,
calculate_dnds=True,
edep=True,
ebin=0,
qs=[0.16, 0.5, 0.84],
color="green",
label="iso",
alpha=0.5,
)
# also show 3FGL
p3FGL.plot_3FGL(fmt="o", color="black", markersize=7, label="3FGL")
plt.legend(fontsize=16)
plt.yscale("log")
plt.xscale("log")
plt.xlim([5e-11, 5e-9])
plt.ylim([1e6, 1e11])
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.savefig(b_disk.plots_dir_for_run + "dnds.pdf", bbox_inches="tight")
plt.close()
if plus_IPS:
p3FGL = fa.plot_3FGL(
f, only_gal=False, CTB_en_min=b_plus_IPS.CTB_en_min, CTB_en_max=b_plus_IPS.CTB_en_max, **kwargs_spectrum
)
p3FGL.configure_3FGL(flux_min=flux_min, flux_max=flux_max, n_flux_bins=n_flux_bins, error_range=error_range)
pdnds_plus_iso = fa.plot_dnds(b_plus_IPS, **kwargs_spectrum) # again, same kwargs
########fist plot with disk, NFW, iso
plt.figure(figsize=(8, 6))
# plot medians
pdnds_plus_iso.plot_source_count_median(
"nfw", smin=0.01, smax=1000, nsteps=1000, calculate_dnds=True, edep=True, ebin=0, color="blue", label="nfw"
)
pdnds_plus_iso.plot_source_count_median(
"disk",
smin=0.01,
smax=1000,
nsteps=1000,
calculate_dnds=True,
edep=True,
ebin=0,
color="orange",
label="disk",
)
pdnds_plus_iso.plot_source_count_median(
"iso", smin=0.01, smax=1000, nsteps=1000, calculate_dnds=True, edep=True, ebin=0, color="green", label="iso"
)
# plot band
pdnds_plus_iso.plot_source_count_band(
"nfw",
smin=0.01,
smax=1000,
nsteps=1000,
calculate_dnds=True,
edep=True,
ebin=0,
qs=[0.16, 0.5, 0.84],
color="blue",
label="nfw",
alpha=0.5,
)
pdnds_plus_iso.plot_source_count_band(
"disk",
smin=0.01,
smax=1000,
nsteps=1000,
calculate_dnds=True,
edep=True,
ebin=0,
qs=[0.16, 0.5, 0.84],
color="orange",
label="disk",
alpha=0.5,
)
pdnds_plus_iso.plot_source_count_band(
"iso",
smin=0.01,
smax=1000,
nsteps=1000,
calculate_dnds=True,
edep=True,
ebin=0,
qs=[0.16, 0.5, 0.84],
color="green",
label="iso",
alpha=0.5,
)
# also show 3FGL
p3FGL.plot_3FGL(fmt="o", color="black", markersize=7, label="3FGL")
plt.legend(fontsize=16)
plt.yscale("log")
plt.xscale("log")
plt.xlim([5e-11, 5e-9])
plt.ylim([1e6, 1e11])
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.savefig(b_plus_IPS.plots_dir_for_run + "dnds.pdf", bbox_inches="tight")
plt.close()
plt.yscale('log')
plt.xlabel('E [GeV]', fontsize=14)
plt.ylabel('$E^2 dN / dE$ [GeV / cm$^2$ / s / sr]', fontsize=18)
# plt.ylim([10**-7,10**-5])
# #plt.ylim([10**-9,10**-4])
# plt.xlim(xlim)
plt.title('Spectrum',fontsize=14)
#: $|b| \geq 1$ within $10^\circ$ of GC, with 300 brightest PS\'s masked',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:
###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],band_mask_range = [-mask_b_plot,mask_b_plot], mask_ring = False)
p3FGL.configure_3FGL(flux_min=10**-12,flux_max=10**-8,n_flux_bins = 25,only_gal = False,error_range = 0.68) #flux_min=10**-11,flux_max=10**-8,
#pdnds = fa.plot_dnds(b,band_mask_range = [-mask_b_plot,mask_b_plot], mask_ring = True, outer = outer_plot)
pdnds = fa.plot_dnds(b,band_mask_range = [-mask_b_plot,mask_b_plot], mask_ring = False)
plt.figure(figsize=(8,6))
p3FGL.plot_3FGL(fmt = 'o', color='black',markersize=7,label='3FGL PS')
pdnds.plot_source_count_band('iso',edep=True,ebin=ebin_num,nsteps=1000,calculate_dnds=True,facecolor='Orange',interpolate=True, alpha=1,linewidth=0)
pdnds.plot_source_count_median('iso',edep=True,ebin=ebin_num,color='Red',linestyle='--',label='3FGL masked (median)')
pdnds.plot_source_count_mean('iso',edep=True,ebin=ebin_num,color='Red',label='3FGL masked (mean)')
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)