ZH: improve some plots

simulations/airshower_beacon_simulation/ba_beacon_phases.py

@@ -134,7 +134,7 @@ if __name__ == "__main__":
                 myt = np.linspace(min(traces[0]), max(traces[0]), 10*len(traces[0]))
                 ax.plot(t_trace, traces[-1], marker='.', label='trace')
                 ax.plot(myt, lib.sine_beacon(frequency, myt, amplitude=amplitude, phase=phase), ls='dashed', label='simulated')
-                ax.set_title(f"Beacon at antenna {h5ant}\nF:{frequency}, P:{phase}, A:{amplitude}")
+                ax.set_title(f"Beacon at antenna {h5ant.attrs['name']}\nF:{frequency:.2e}, P:{phase:.4f}, A:{amplitude:.1e}")
                 ax.legend()
 
             # save to file

simulations/airshower_beacon_simulation/show_beacon_amplitude_antennas.py

@@ -17,6 +17,9 @@ if __name__ == "__main__":
     import os.path as path
 
     fname = "ZH_airshower/mysim.sry"
+
+    plot_phase_field = True
+    plot_tx = False
     
     ####
     fname_dir = path.dirname(fname)
@@ -24,11 +27,15 @@ if __name__ == "__main__":
 
     f_beacon, tx, antennas = beacon.read_beacon_hdf5(antennas_fname)
 
-    subtitle = ""
+    pretitle = ""
     if True:
-        beacon_frequencies = np.array([ant.attrs['beacon_freq'] for ant in antennas])
+        freq_name = list(antennas[0].beacon_info.keys())[0]
-        beacon_amplitudes = np.array([ant.attrs['beacon_amplitude'] for ant in antennas])
+        beacon_frequencies = np.array([ant.beacon_info[freq_name]['freq'] for ant in antennas])
-        beacon_phases = np.array([lib.phase_mod(ant.attrs['beacon_phase_measured']) for ant in antennas])
+        beacon_amplitudes = np.array([ant.beacon_info[freq_name]['amplitude'] for ant in antennas])
+        beacon_phases = lib.phase_mod(np.array([ant.beacon_info[freq_name]['phase'] for ant in antennas]))
+
+        if 'true_phase' in antennas[0].beacon_info[freq_name]:
+            beacon_true_phases = lib.phase_mod(np.array([ant.beacon_info[freq_name]['true_phase'] for ant in antennas]))
     else:
         subtitle = " Phases from t0"
         beacon_frequencies = np.array([ f_beacon for ant in antennas ])
@@ -41,6 +48,11 @@ if __name__ == "__main__":
         vals = beacon_phases
         colorlabel = '$\\varphi$'
         sizes = 64*(beacon_amplitudes/np.max(beacon_amplitudes))**2
+    elif True: # True Phases
+        vals = beacon_true_phases
+        colorlabel = '$\\sigma_\\varphi$'
+        plot_phase_field = False
+        plot_tx = False
     else:
         vals = beacon_amplitudes
         colorlabel = "[$\\mu$V/m]"
@@ -51,13 +63,14 @@ if __name__ == "__main__":
     #####
 
     fig, axs = plt.subplots()
-    axs.set_title(f"Amplitude at beacon frequency at each antenna\nf at A0: {beacon_frequencies[0]}GHz" + subtitle)
+    axs.set_title(pretitle + f"Beacon frequency at A0: {beacon_frequencies[0]:.3e}GHz")
     axs.set_aspect('equal', 'datalim')
     axs.set_xlabel('[m]')
     axs.set_ylabel('[m]')
 
     if True:
-        if True:
+        vmax, vmin = None, None
+        if plot_phase_field:
             # underlie a calculate phase field
             if True: # only fill for antennas
                 xs = np.linspace( np.min(x), np.max(x), 4*np.ceil(len(antennas)**0.5) -1 )
@@ -67,12 +80,19 @@ if __name__ == "__main__":
                 ys = np.linspace( (tx.y - np.min(y))/2, np.max(y), 500)
 
             phases, (xs, ys) = lib.phase_field_from_tx(xs, ys, tx, f_beacon*1e9,return_meshgrid=False)
-            sc2 = axs.scatter(xs, ys, c=phases, alpha=0.5, zorder=-5, cmap='Spectral_r')
+
+            vmax, vmin = max(np.max(phases), np.max(vals)), min(np.min(phases), np.min(vals))
+            sc2 = axs.scatter(xs, ys, c=phases, alpha=0.5, zorder=-5, cmap='Spectral_r', vmin=vmin, vmax=vmax)
+
+        if False:
+            # do not share the same colours
             fig.colorbar(sc2, ax=axs)
+            vmax, vmin = None, None
     
-        sc = axs.scatter(x, y, c=vals, s=sizes, cmap='Spectral_r', edgecolors='k', marker='X')
+        sc = axs.scatter(x, y, c=vals, s=sizes, cmap='Spectral_r', edgecolors='k', marker='X', vmin=vmin, vmax=vmax)
-    
+   
-        axs.plot(tx.x, tx.y, marker='X', color='k')
+        if plot_tx:
+            axs.plot(tx.x, tx.y, marker='X', color='k')
     
         #for i, freq in enumerate(beacon_frequencies):
         #    axs.text(f"{freq:.2e}", (x[i], y[i]))
@@ -91,6 +111,6 @@ if __name__ == "__main__":
 
         fig.colorbar(sc, ax=axs, label=colorlabel)
 
-
+    if not True:
-    fig.savefig(__file__ + ".pdf")
+        fig.savefig(__file__ + ".pdf")
     plt.show()

simulations/airshower_beacon_simulation/view_beaconed_antenna.py

@@ -58,13 +58,15 @@ if __name__ == "__main__":
 
         axs[0].axvline(ant.t[0], color='k', alpha=0.5)
 
-        if not True:
+        if True: # total E field
+            mydict = dict(AxB=ant.E_AxB)
+        elif False: # polarisations
             mydict = dict(x=ant.Ex, y=ant.Ex, z=ant.Ez)
-        else:
+        else: # beacon
-            mydict = dict(E=ant.E_AxB, b=ant.beacon)
+            mydict = dict(b=ant.beacon)
 
         for j, (direction, trace) in enumerate(mydict.items()):
-            l = axs[0].plot(ant.t, trace, label=f"E{direction} {ant.name}")
+            l = axs[0].plot(ant.t, trace, label=f"$E_{{{direction}}}$ {ant.name}", alpha=0.8)
 
             #if False and j == 0 and 't0' in ant.attrs:
             #    axs[0].axvline(ant.attrs['t0'], color=l[0].get_color(), alpha=0.5)
@@ -87,19 +89,25 @@ if __name__ == "__main__":
 
                 print(amp)
                 phase = np.arctan2(cft[0],cft[1])
-                axs[1].plot(f_beacon, amp, color=l[0].get_color(), marker='3')
+                axs[1].plot(f_beacon, amp, color=l[0].get_color(), marker='3', alpha=0.8, ms=30)
-                axs[2].plot(f_beacon, phase, color=l[0].get_color(), marker='3')
+                axs[2].plot(f_beacon, phase, color=l[0].get_color(), marker='3', alpha=0.8, ms=30)
 
     if plot_ft_amplitude:
-        fig1.legend(loc='center right', ncol=min(3, len(idx)))
+        fig1.legend(loc='center right', ncol=min(2, len(idx)))
     else:
         fig1.legend(loc='upper right', ncol=min(3, len(idx)))
 
     if plot_geometry:
+        if len(mydict) == 1:
+            geom_colorlist = colorlist
+        else:
+            # only take the colour belonging to mydict[0]
+            geom_colorlist = [ colorlist[len(mydict)*(i)] for i in range(len(colorlist)//len(mydict)) ]
+
         fig2, axs2 = plt.subplots(1)
         plot_antenna_geometry(antennas, ax=axs2, plot_max_values=False, color='grey', plot_names=False)
-        for j, _ in enumerate(mydict):
+        plot_antenna_geometry([ antennas[i] for i in idx], ax=axs2, colors=geom_colorlist, plot_max_values=False)
-            plot_antenna_geometry([ antennas[i] for i in idx], ax=axs2, colors=colorlist[j + len(colorlist)//len(mydict)], plot_max_values=False)
+
         axs2.plot(tx.x, tx.y, marker='X', color='k')
         axs2.set_title("Geometry with selected antennas")