fig = plt.figure(2)
plt.errorbar(
energy_bin_median, [rad2deg * i for i in phase_avg], xerr=[energy_err_lower, energy_err_upper], fmt="o"
)
ax = fig.axes[0]
ax.axis("on")
tPars = {"fontsize": 16}
# ax.set_ylim(-210,200)
ax.set_xlabel(r"$\log_{10}(E/\mathrm{GeV})", **tPars)
ax.set_ylabel(r"Phase Amplitude", **tPars)
if args.output:
if args.plotname:
outFile = args.outDir + args.plotname
else:
if args.lmax == 1:
name = "phase_dipolefit"
elif args.lmax == 2:
name = "phase_quadrupolefit"
elif args.lmax == 3:
name = "phase_octupolefit"
else:
name = "phase_data"
outFile = args.outDir + name
plt.savefig(outFile + "." + args.ext, dpi=300, bbox_inches="tight")
dipole_vec = getDipole()
if not args.noshow:
plt.show()
# Produce dipole expansion coeeficient plot
#fig = plt.figure(1)
labels = [r'$l=1$',r'$l=2$',r'$l=3$']
#for i in range(1):
for l in range(1,args.lmax+1):
amplitude = []
amplitude_err = []
phase = []
phase_err = []
for i in range(len(maps)):
# Read in (multiple) input files
data, bg, local = np.sum([hp.read_map(f, range(3), verbose=False)\
for f in maps[i]], axis=0)
p = multifit(l, data, bg, alpha, **opts)
#print('p = {}'.format(np.sqrt(p['Y(1,0)']**2+p['Y(1,1)']**2+p['Y(1,-1)']**2)))
dipole = getDipole(p)
#print('dipole = {}'.format(dipole))
#print('dipole[0] = {}'.format(dipole[0]))
amplitude.append(dipole[0])
amplitude_err.append(dipole[1])
phase.append(dipole[2])
phase_err.append(dipole[3])
fig = plt.figure(l)
plt.errorbar(energy_bin_median,amplitude,xerr=[energy_err_lower,energy_err_upper],\
yerr=amplitude_err,marker='.',markersize=10,linestyle='None')
plt.title(r'$l_{} = $ {}'.format('{max}',l))
ax = fig.axes[0]
ax.axis('on')
tPars = {'fontsize':16}
ax.set_xlim(3.5,7.5)
