def modb_along_orbit(self, ax=None, annotate=True, bg_color='dimgrey', cmap=None, vmin=0., vmax=20.):
if ax is None:
ax = plt.gca()
if cmap is None:
cmap = plt.cm.autumn
cmap.set_bad('dimgrey',0.)
cmap.set_under('dimgrey',0.)
td_cyclotron_list = [d for d in self.digitization_list if np.isfinite(d.td_cyclotron)]
plt.sca(ax)
mex.plot_planet(lw=3.)
mex.plot_bs(lw=1., ls='dashed', color='k')
mex.plot_mpb(lw=1., ls='dotted', color='k')
ax.set_aspect('equal','box')
plt.xlim(2,-2)
plt.autoscale(False,tight=True)
plt.ylim(0., 1.999)
if annotate:
plt.annotate('%d' % self.orbit, (0.05, 0.85),
xycoords='axes fraction', va='top')
def f_x(pos):
return pos[0] / mex.mars_mean_radius_km
def f_y(pos):
return np.sqrt(pos[1]**2. + pos[2]**2.) / mex.mars_mean_radius_km
# def f_y(pos):
# return pos[2] / mex.mars_mean_radius_km
plt.plot( f_x(self.mso_pos), f_y(self.mso_pos),
color=bg_color, lw=2., zorder=-10)
inx = np.interp(np.array([d.time for d in self.ionogram_list]),
self.t, np.arange(self.t.shape[0]))
inx = inx.astype(int)
plt.plot(f_x(self.mso_pos[:,inx]), f_y(self.mso_pos[:,inx]),
color=bg_color, ls='None',marker='o', ms=8., mew=0., mec=bg_color, zorder=-9)
if td_cyclotron_list:
val = np.empty_like(self.t) + np.nan
for t, v in [(float(f.time), 1E9 * ais_code.td_to_modb(f.td_cyclotron))
for f in td_cyclotron_list]:
val[np.abs(self.t - t) < ais_code.ais_spacing_seconds] = v
points = np.array([f_x(self.mso_pos), f_y(self.mso_pos)]).T.reshape(-1, 1, 2)
segments = np.concatenate([points[:-1], points[1:]], axis=1)
lc = LineCollection(segments, cmap=cmap,
norm=plt.Normalize(vmin=vmin, vmax=vmax, clip=True))
lc.set_array(val)
lc.set_linewidth(5)
plt.gca().add_collection(lc)
else:
lc = None
plt.ylabel(r'$\rho / R_M$')
# plt.ylabel(r'$z / R_M$')
plt.xlabel(r'$x / R_M$')
if lc:
old_ax = plt.gca()
plt.colorbar(lc, cax = celsius.make_colorbar_cax(offset=0.001, height=0.8)
).set_label(r'$|B| / nT$')
plt.sca(old_ax)
def density_along_orbit(self, ax=None, annotate=True, min_fp_local_length=0, bg_color='dimgrey', cmap=None, vmin=1., vmax=3.):
if cmap is None:
cmap = plt.cm.autumn
cmap.set_bad('dimgrey',0.)
cmap.set_under('dimgrey',0.)
if ax is None:
ax = plt.gca()
fp_local_list = [d for d in self.digitization_list if np.isfinite(d.fp_local)]
plt.sca(ax)
mex.plot_planet(lw=3.)
mex.plot_bs(lw=1., ls='dashed', color='k')
mex.plot_mpb(lw=1., ls='dotted', color='k')
ax.set_aspect('equal', 'box')
plt.xlim(2,-2)
plt.autoscale(False,tight=True)
plt.ylim(0,1.9999)
if annotate:
plt.annotate('%d' % self.orbit, (0.05, 0.85), xycoords='axes fraction', va='top')
def f_x(pos):
return pos[0] / mex.mars_mean_radius_km
def f_y(pos):
return np.sqrt(pos[1]**2. + pos[2]**2.) / mex.mars_mean_radius_km
# def f_y(pos):
# return pos[2] / mex.mars_mean_radius_km
plt.plot( f_x(self.mso_pos), f_y(self.mso_pos),
color=bg_color, lw=1., zorder=-10)
inx = np.interp(np.array([d.time for d in self.ionogram_list]), self.t, np.arange(self.t.shape[0]))
inx = inx.astype(int)
plt.plot( f_x(self.mso_pos[:,inx]), f_y(self.mso_pos[:,inx]),
color=bg_color, ls='None',marker='o', ms=8.,mew=0., mec=bg_color, zorder=-9)
if fp_local_list:
val = np.empty_like(self.t) + np.nan
# for t, v in [(float(f.time), np.log10(ais_code.fp_to_ne(f.maximum_fp_local))) for f in fp_local_list]:
# val[np.abs(self.t - t) < ais_code.ais_spacing_seconds] = v
for f in fp_local_list:
t = float(f.time)
# if (f.fp_local_error / f.fp_local) > 0.3:
# v = np.log10(20.)
# else:
v = np.log10(ais_code.fp_to_ne(f.fp_local))
# print t, ais_code.fp_to_ne(f.fp_local), f.fp_local_error/f.fp_local > 0.3
val[np.abs(self.t - t) < ais_code.ais_spacing_seconds] = v
points = np.array([f_x(self.mso_pos), f_y(self.mso_pos)]).T.reshape(-1, 1, 2)
segments = np.concatenate([points[:-1], points[1:]], axis=1)
lc = LineCollection(segments, cmap=cmap, norm=plt.Normalize(vmin=vmin, vmax=vmax, clip=True))
lc.set_array(val)
lc.set_linewidth(5)
plt.gca().add_collection(lc)
else:
lc = None
plt.ylabel(r'$\rho / R_M$')
# plt.ylabel(r'$z / R_M$')
plt.xlabel(r'$x / R_M$')
if lc:
ticks = [i for i in range(10) if ((float(i)+0.1) > vmin) & ((float(i)-0.1) < vmax)]
old_ax = plt.gca()
plt.colorbar(lc, cax = celsius.make_colorbar_cax(offset=0.001, height=0.8),
ticks=ticks).set_label(r'$log_{10}\;n_e / cm^{-3}$')
plt.sca(old_ax)
