def plot_flux_absorption_ratio(plot_title, plot_filename):
fig, ax = plib.set_plot_style((4.5, 3.5))
icol = 3
E, flux_HI = read_flux_from_file('spectrum-PionDecayAbsorption-HI-1TeV-1PeV-16.txt', icol)
E, flux_H2 = read_flux_from_file('spectrum-PionDecayAbsorption-H2-1TeV-1PeV-16.txt', icol)
y_w = flux_HI + flux_H2
E, flux_HI = read_flux_from_file('spectrum-PionDecay-HI-1TeV-1PeV-16.txt', icol)
E, flux_H2 = read_flux_from_file('spectrum-PionDecay-H2-1TeV-1PeV-16.txt', icol)
y_no = flux_HI + flux_H2
r = (y_w - y_no) / y_no
ax.plot(E, r - max(r))
ax.set_xscale('log')
ax.set_xlabel(r'E [GeV]', fontsize=12)
ax.set_xlim([1e3, 1e6])
# ax.set_yscale('log')
ax.set_ylabel(r'Flux relative ratio', fontsize=12)
ax.set_ylim([-1, 0])
ax.set_title(plot_title, fontsize=11)
ax.legend(fontsize=7)
plib.savefig(plt, plot_filename)
def plot_map(fits_map_filename, imap, output_filename, title):
fig, ax = plib.set_plot_style((4.5, 4))
h = get_header(fits_map_filename)
img = get_img(fits_map_filename, imap)
n_lon = h["NAXIS1"]
n_lat = h["NAXIS2"]
b = np.linspace(-90., +90., n_lat)
l = np.linspace(-180., +190., n_lon)
logImg = np.log10(img + 1e-20)
print (np.max(logImg), np.max(logImg) - 2.5)
image = ax.pcolor(l, b, logImg,
cmap='Blues',
vmax=np.max(logImg),
vmin=np.max(logImg) - 2.5,
shading='auto',
edgecolors='face')
make_cbar(fig, image)
#ax.invert_xaxis()
ax.set_title(title, pad=5, fontsize=11)
#ax.grid(True)
ax.set_xlabel(r'l [deg]')
ax.set_ylabel(r'b [deg]')
plt.savefig(output_filename + ".png")
def plot_map(fits_map_filename, output_filename, title, min_map, max_map):
fig, ax = plib.set_plot_style((4.5, 4))
nside, E_gamma = get_header_info(fits_map_filename)
map = get_map(fits_map_filename)
b = np.linspace(-80., +80., 160 * 2)
l = np.linspace(-150., +150., 300 * 2)
map_2d = convert_map_2D(map, nside, E_gamma, b, l)
image = ax.pcolor(l,
b,
map_2d,
cmap='jet',
vmin=min_map,
vmax=max_map,
shading='auto',
edgecolors='face')
make_cbar(fig, image)
ax.invert_xaxis()
ax.set_title(title, pad=5, fontsize=11)
#ax.grid(True)
ax.set_xlabel(r'l [deg]')
ax.set_ylabel(r'b [deg]')
plib.savefig(plt, output_filename)
def plot_longbetadecays():
fig, ax = plib.set_plot_style()
R = np.logspace(-1, 3, 1000)
plot_decay(ax, 4, 10, R, 1.51 * Myr, r'$\beta^-$(1.51 Myr) : $^{10}$Be $\rightarrow$ $^{10}$B', 'tab:blue')
plot_decay(ax, 6, 14, R, 5.7 * kyr, r'$\beta^-$(5.7 kyr) : $^{14}$C $\rightarrow$ $^{14}$N', 'tab:orange')
plot_decay(ax, 11, 22, R, 4.8 * Myr, r'$\beta^+$(4.8 Myr) : $^{22}$Na $\rightarrow$ $^{22}$Ne', 'tab:pink')
plot_decay(ax, 13, 26, R, 0.91 * Myr, r'$\beta^+$(0.91 Myr) : $^{26}$Al $\rightarrow$ $^{26}$Mg', 'tab:green')
plot_decay(ax, 17, 36, R, 0.307 * Myr, r'$\beta^-$(0.307 Myr) : $^{36}$Cl $\rightarrow$ $^{36}$Ar', 'tab:red')
plot_decay(ax, 25, 54, R, 0.63 * Myr, r'$\beta^+$(0.63 Myr) : $^{54}$Mn $\rightarrow$ $^{54}$Fe', 'tab:brown')
plot_decay(ax, 28, 56, R, 0.051 * Myr, r'$\beta^+$(51 kyr) : $^{56}$Ni $\rightarrow$ $^{56}$Fe', 'tab:olive')
plot_decay(ax, 26, 60, R, 2.6 * Myr, r'$\beta^-$(2.6 Myr) : $^{60}$Fe $\rightarrow$ $^{60}$Co $\rightarrow$ $^{60}$Ni', 'tab:cyan')
ax.legend(fontsize=14)
tdiff = 5. / (1e-5 + 1e-5 * np.power(R, 0.54)) # [kyr]
ax.plot(R, tdiff, color='k')
ax.fill_between(R, 2. / 5. * tdiff, 10. / 5. * tdiff, facecolor='k', alpha=0.3, zorder=1)
ax.set_yscale('log')
ax.set_xscale('log')
ax.set_xlabel(r'R [GV]')
ax.set_ylabel('t [kyr]')
#ax.plot([1, 1e3], [1, 1], ':', color='k')
ax.set_xlim([1e0, 1e3])
ax.set_ylim([1e-1, 1e8])
plt.savefig('longbetadecays.pdf')
def plot_flux_absorption(plot_title, plot_filename):
fig, ax = plib.set_plot_style((4.5, 3.5))
icol = 3
E, flux_HI = read_flux_from_file('spectrum-PionDecayAbsorption-HI-1TeV-1PeV-16.txt', icol)
E, flux_H2 = read_flux_from_file('spectrum-PionDecayAbsorption-H2-1TeV-1PeV-16.txt', icol)
ax.plot(E, E * E * (flux_HI + flux_H2), color='tab:blue', linestyle='-', label=r'Pion Decay')
E, flux_HI = read_flux_from_file('spectrum-PionDecay-HI-1TeV-1PeV-16.txt', icol)
E, flux_H2 = read_flux_from_file('spectrum-PionDecay-H2-1TeV-1PeV-16.txt', icol)
ax.plot(E, E * E * (flux_HI + flux_H2), color='tab:blue', linestyle='--', label=r'Pion Decay (no absorption)')
ax.set_xscale('log')
ax.set_xlabel(r'E [GeV]', fontsize=12)
ax.set_xlim([1e3, 1e6])
ax.set_yscale('log')
ax.set_ylabel(r'E$^2$ Flux [GeV m$^{-2}$ s$^{-1}$ sr$^{-1}$]', fontsize=12)
ax.set_ylim([1e-7, 1e-2])
ax.set_title(plot_title, fontsize=11)
ax.legend(fontsize=7)
plib.savefig(plt, plot_filename)
def plot_flux_HE(icol, plot_title, plot_filename):
fig, ax = plib.set_plot_style((4.5, 3.5))
E, flux_HI = read_flux_from_file('spectrum-PionDecay-HI-1TeV-1PeV-64.txt', icol)
E, flux_H2 = read_flux_from_file('spectrum-PionDecay-H2-1TeV-1PeV-64.txt', icol)
ax.plot(E, E * E * (flux_HI + flux_H2), color='tab:green', linestyle='-', label=r'Pion Decay ($\gamma$)')
E, flux_HI = read_flux_from_file('spectrum-PionDecayNu-HI-1TeV-1PeV-64.txt', icol)
E, flux_H2 = read_flux_from_file('spectrum-PionDecayNu-H2-1TeV-1PeV-64.txt', icol)
ax.plot(E, E * E * (flux_HI + flux_H2), color='tab:orange', linestyle='--', label=r'Pion Decay ($\nu$ all-flavours)')
E, flux_DM = read_flux_from_file('spectrum-DarkMatter-1TeV-30TeV-256.txt', icol)
ax.plot(E, E * E * 10. * flux_DM, color='tab:red', linestyle='-', label='Dark Matter (prompt)')
E, flux_DM = read_flux_from_file('spectrum-DarkMatterSecondary-1TeV-30TeV-64.txt', icol)
ax.plot(E, E * E * 10. * flux_DM, color='tab:red', linestyle='--', label='Dark Matter (secondary)')
ax.set_xscale('log')
ax.set_xlabel(r'E [GeV]', fontsize=12)
ax.set_xlim([1e3, 1e6])
ax.set_yscale('log')
ax.set_ylabel(r'E$^2$ Flux [GeV m$^{-2}$ s$^{-1}$ sr$^{-1}$]', fontsize=12)
ax.set_ylim([1e-8, 1e-2])
ax.set_title(plot_title, fontsize=11)
ax.legend(fontsize=7)
plib.savefig(plt, plot_filename)
def plot_flux(icol, plot_title, plot_filename):
fig, ax = plib.set_plot_style((4.5, 3.5))
E, flux_HI = read_flux_from_file('spectrum-PionDecay-HI-100MeV-1TeV-64.txt', icol)
ax.plot(E, E * E * flux_HI, color='tab:green', linestyle='--', label='Pion Decay (HI)')
E, flux_H2 = read_flux_from_file('spectrum-PionDecay-H2-100MeV-1TeV-64.txt', icol)
ax.plot(E, E * E * flux_H2, color='tab:green', linestyle=':', label='Pion Decay (H2)')
ax.plot(E, E * E * (flux_HI + flux_H2), color='tab:green', linestyle='-', label='Pion Decay (total)')
E, flux_IC = read_flux_from_file('spectrum-InverseCompton-100MeV-1TeV-64.txt', icol)
ax.plot(E, E * E * flux_IC, color='tab:red', linestyle='-', label='Inverse Compton')
E, flux_Bremss_HI = read_flux_from_file('spectrum-Bremsstrahlung-HI-100MeV-1TeV-64.txt', icol)
E, flux_Bremss_H2 = read_flux_from_file('spectrum-Bremsstrahlung-HI-100MeV-1TeV-64.txt', icol)
ax.plot(E, E * E * (flux_Bremss_HI + flux_Bremss_H2), color='tab:orange', linestyle='-', label='Bremsstrahlung')
flux = flux_Bremss_HI + flux_Bremss_H2 + flux_HI + flux_H2 + flux_IC
ax.plot(E, E * E * flux, color='tab:blue', linestyle='-', label='Total')
ax.set_xscale('log')
ax.set_xlabel(r'E [GeV]', fontsize=12)
ax.set_xlim([0.1, 1e3])
ax.set_yscale('log')
ax.set_ylabel(r'E$^2$ Flux [GeV m$^{-2}$ s$^{-1}$ sr$^{-1}$]', fontsize=12)
ax.set_ylim([1e-5, 1])
ax.set_title(plot_title, fontsize=11)
ax.legend(fontsize=7)
plib.savefig(plt, plot_filename)
def plot_ghostdecays():
fig, ax = plib.set_plot_style()
filename = '../data/ghost_list.txt'
f = open(filename, "r")
lines = f.readlines()
for line in lines[1:]:
line = line.split()
Zp = plib.str_to_Z(line[0])
Ap = int(line[1])
Zd = plib.str_to_Z(line[2])
Ad = int(line[3])
#ax.plot([Zp, Zd], [Ap, Ad])
rect = patches.Rectangle((Zp,Ap),1,1,linewidth=0,edgecolor='tab:gray',facecolor='tab:gray',alpha=0.3)
ax.add_patch(rect)
if (Zd - Zp) > 0:
ax.arrow(Zp + 0.5, Ap + 0.5, (Zd - Zp) * 0.8, (Ad - Ap) * 0.8, length_includes_head=True,
head_width=0.3, head_length=0.2, fc='tab:orange', ec='tab:orange')
else:
ax.arrow(Zp + 0.5, Ap + 0.5, (Zd - Zp) * 0.8, (Ad - Ap) * 0.8, length_includes_head=True,
head_width=0.3, head_length=0.2, fc='tab:green', ec='tab:green')
filename = '../data/crchart_Z28_2020.txt'
f = open(filename, "r")
lines = f.readlines()
for line in lines[1:]:
line = line.split()
Z = int(line[0])
A = int(line[1])
mode = line[3]
if (mode == 'BETA+'):
rect = patches.Rectangle((Z,A),1,1,linewidth=0,edgecolor='tab:purple',facecolor='tab:purple',alpha=0.7)
ax.add_patch(rect)
elif (mode == 'BETA-'):
rect = patches.Rectangle((Z,A),1,1,linewidth=0,edgecolor='tab:red',facecolor='tab:red',alpha=0.7)
ax.add_patch(rect)
else:
rect = patches.Rectangle((Z,A),1,1,linewidth=0,edgecolor='tab:blue',facecolor='tab:blue',alpha=0.7)
ax.add_patch(rect)
ax.text(12, 12, r'409 ghost nuclei', fontsize=20)
ax.text(12, 7, r'with msec $< \tau_{1/2} <$ kyr', fontsize=20)
ax.text(4, 70, r'$\beta+$ ghost', color='tab:green', fontsize=18)
ax.text(4, 65, r'$\beta-$ ghost', color='tab:orange', fontsize=18)
ax.text(4, 60, r'$\beta+$ long-lived', color='tab:purple', fontsize=18)
ax.text(4, 55, r'$\beta-$ long-lived', color='tab:red', fontsize=18)
ax.text(4, 50, r'Stable', color='tab:blue', fontsize=18)
ax.set_xlim([0, 32])
ax.set_ylim([0, 80])
ax.set_xlabel('Z')
ax.set_ylabel('A')
plt.savefig('ghostdecays.pdf')
def plot_radiospectra(icol, plot_title, plot_filename):
fig, ax = plib.set_plot_style((4.5, 3.5))
freq, flux = read_spectrum_from_file('spectrum-Synchro-64.txt', icol)
ax.plot(freq,
freq * freq * flux,
label='Synchrotron (B regular + B turbulent)',
color='tab:blue')
freq, flux = read_spectrum_from_file('spectrum-Synchro-noturb-64.txt',
icol)
ax.plot(freq,
freq * freq * flux,
linestyle=':',
label='Synchrotron (B regular only)',
color='tab:blue')
freq, flux = read_spectrum_from_file('spectrum-Synchro-absorption-64.txt',
icol)
ax.plot(freq,
freq * freq * flux,
linestyle='--',
label='Synchrotron (including absorption)',
color='tab:orange')
freq, flux = read_spectrum_from_file('spectrum-FreeFree-64.txt', icol)
ax.plot(freq, freq * freq * flux, color='tab:red', label='Free-free')
ax.set_xscale('log')
ax.set_xlabel(r'$\nu$ [MHz]', fontsize=12)
ax.set_xlim([1, 1e5])
ax.set_yscale('log')
ax.set_ylabel(r'$\nu^2$ T$_{\rm b}$ [MHz$^2$ K]', fontsize=12)
ax.set_ylim([1e2, 1e8])
ax.set_title(plot_title, fontsize=11)
ax.legend(fontsize=9, loc='lower left')
plib.savefig(plt, plot_filename)
plt.ylabel(r'n$_e$ [cm$^{-3}$]')
plt.title(title, fontsize=25)
plt.legend(['YMW'])
return 'ne_los.pdf'
def plot_B(filename, title):
d, B_perp, B_tot = np.loadtxt(filename, skiprows=1, usecols=(0, 1, 2), unpack=True)
plt.plot(d, B_perp, 'r')
plt.plot(d, B_tot, 'r:')
plt.xlabel(r'd [pc]')
plt.ylabel(r'B [$\mu$G]')
plt.title(title, fontsize=25)
return 'B_los.pdf'
pl.set_plot_style()
filename = 'output/HESSJ1640-465.los'
# plotname = plot_ne(filename, 'HESSJ1640-465')
plotname = plot_B(filename, 'HESSJ1640-465')
# plt.show()
plt.savefig(plotname)
pad=4,
bottom=True,
top=True,
left=True,
right=True)
cb.outline.set_linewidth(0.8)
# MAIN
output_filename = 'SynchrotronSlope-408MHz-cartesian-128'
title = r'Synchrotron Slope'
units = r'$\beta$'
min_map, max_map = -3.1, -2.9
fig, ax = plib.set_plot_style((4.5, 4))
nside = get_header_info('fits/map-Synchro-408MHz-128.fits.gz')
map_nu1 = get_map('fits/map-Synchro-noturb-408MHz-128.fits.gz')
map_nu2 = get_map('fits/map-Synchro-noturb-412MHz-128.fits.gz')
nu1, nu2 = 408., 412.
b = np.linspace(-80., +80., 160 * 2)
l = np.linspace(-150., +150., 300 * 2)
map_2d = compute_map_slope(map_nu1, map_nu2, nu1, nu2, b, l)
image = ax.pcolor(l,
b,
map_2d,