WUotD

simulations/airshower_beacon_simulation/aa_generate_beacon.py

@@ -1,4 +1,10 @@
 #!/usr/bin/env python3
+# vim: fdm=indent ts=4
+
+"""
+Add a beacon measurement on top of the
+simulated airshower.
+"""
 
 import numpy as np
 import json
@@ -36,7 +42,7 @@ def read_tx_file(fname):
 
     return tx, f_beacon
 
-def read_beacon_hdf5(fname):
+def read_beacon_hdf5(fname, traces_key='traces'):
     with h5py.File(fname, 'r') as h5:
         tx_attrs = h5['tx'].attrs
         f_beacon = tx_attrs.get('f_beacon')
@@ -48,12 +54,15 @@ def read_beacon_hdf5(fname):
         for k, ant in h5['antennas'].items():
             mydict = { k:ant.attrs.get(k) for k in ['x', 'y', 'z', 'name'] }
             antenna = Antenna(**mydict)
-            antenna.t = ant['traces'][0]
+            antenna.t = ant[traces_key][0]
-            antenna.Ex = ant['traces'][1]
+            antenna.Ex = ant[traces_key][1]
-            antenna.Ey = ant['traces'][2]
+            antenna.Ey = ant[traces_key][2]
-            antenna.Ez = ant['traces'][3]
+            antenna.Ez = ant[traces_key][3]
-            if len(ant['traces']) > 4:
+            if len(ant[traces_key]) > 4:
-                antenna.beacon = ant['traces'][4]
+                antenna.beacon = ant[traces_key][4]
+
+            if ant.attrs:
+                antenna.attrs = {**ant.attrs}
 
             antennas.append(antenna)
 
@@ -118,13 +127,23 @@ def append_antenna_hdf5(fname, antenna, columns = [], name='traces', prepend_tim
 if __name__ == "__main__":
     from os import path
 
-    remake_tx = False
+    remake_tx = True
 
     fname = "ZH_airshower/mysim.sry"
-    tx = Antenna(x=-500,y=0,z=0,name='tx')
+    tx = Antenna(x=-500,y=0,z=0,name='tx') # m
-    f_beacon = 50e-3 # GHz
+    f_beacon = 51.53e-3 # GHz
 
     beacon_amplitudes = 1e-6*np.array([1e2, 0, 0]) # mu V/m
+    beacon_radiate_rsq = True
+
+    if beacon_radiate_rsq:
+        # Move tx out, and magnify beacon_amplitude (at tx)
+        tx = Antenna(x=-20e3,y=0,z=0,name='tx') # m
+        dist = lib.distance(tx, Antenna(x=0, y=0, z=0))
+
+        ampl = dist**2
+
+        beacon_amplitudes *= ampl
 
     ####
     fname_dir = path.dirname(fname)
@@ -145,14 +164,15 @@ if __name__ == "__main__":
 
     # make beacon per antenna
     for i, antenna in enumerate(ev.antennas):
-        beacon = lib.beacon_from(tx, antenna, f_beacon, antenna.t)
+        beacon = lib.beacon_from(tx, antenna, f_beacon, antenna.t, radiate_rsq=beacon_radiate_rsq)
+
 
         E = np.array([antenna.Ex, antenna.Ey, antenna.Ez, beacon])
         append_antenna_hdf5( antennas_fname, antenna, E, name='orig_traces', prepend_time=True)
 
         # add to relevant polarisation
-        for i, _ in enumerate(beacon_amplitudes):
+        for j, _ in enumerate(beacon_amplitudes):
-            E[i] += beacon_amplitudes[i]*beacon
+            E[j] += beacon_amplitudes[j]*beacon
 
         append_antenna_hdf5( antennas_fname, antenna, E, name='traces', prepend_time=True)
 

simulations/airshower_beacon_simulation/ab_modify_clocks.py

@@ -1,4 +1,10 @@
 #!/usr/bin/env python3
+# vim: fdm=indent ts=4
+
+"""
+Add a uniformly sampled time offset
+to the clock of each antenna.
+"""
 
 import numpy as np
 import json
@@ -21,7 +27,7 @@ if __name__ == "__main__":
     import sys
 
     max_clock_offset = 100# ns
-    remake_clock_offsets = False
+    remake_clock_offsets = True
 
     seed = 12345
     rng = np.random.default_rng(seed)

simulations/airshower_beacon_simulation/ba_beacon_phases.py

@@ -0,0 +1,197 @@
+#!/usr/bin/env python3
+# vim: fdm=indent ts=4
+
+import numpy as np
+import h5py
+
+import lib
+
+import aa_generate_beacon as beacon
+
+from lib import direct_fourier_transform
+
+from numpy.polynomial import Polynomial
+
+def find_beacon_in_traces(
+        traces,
+        t_trace,
+        f_beacon_estimate = 50e6,
+        frequency_fit = False,
+        N_test_freqs = 5e2,
+        f_beacon_estimate_band = 0.01,
+        amp_cut = 0.8
+        ):
+    """
+    f_beacon_band is inclusive
+
+    traces is [trace, trace, trace, ..  ]
+    """
+
+    amplitudes = np.zeros(len(traces))
+    phases = np.zeros(len(traces))
+    frequencies = np.zeros(len(traces))
+
+    if frequency_fit: # fit frequency
+        test_freqs = f_beacon_estimate + f_beacon_estimate_band * np.linspace(-1, 1, int(N_test_freqs)+1)
+        ft_amp_gen = direct_fourier_transform(test_freqs, t_trace, (x for x in traces))
+
+        n_samples = len(t_trace)
+
+        for i, ft_amp in enumerate(ft_amp_gen):
+            real, imag = ft_amp
+            amps = 1/n_samples * ( real**2 + imag**2)**0.5
+
+            # find frequency peak and surrounding
+            # bins valid for parabola fitting
+            max_amp_idx = np.argmax(amps)
+            max_amp = amps[max_amp_idx]
+
+            if True:
+                frequencies[i] = test_freqs[max_amp_idx]
+                continue
+
+            valid_mask = amps >= amp_cut*max_amp
+
+            if True: # make sure not to use other peaks
+                lower_mask = valid_mask[0:max_amp_idx]
+                upper_mask = valid_mask[max_amp_idx:]
+
+                if any(lower_mask):
+                    lower_end = np.argmin(lower_mask[::-1])
+                else:
+                    lower_end = max_amp_idx
+
+                if any(upper_mask):
+                    upper_end = np.argmin(upper_mask)
+                else:
+                    upper_end = 0
+
+
+                valid_mask[0:(max_amp_idx - lower_end)] = False
+                valid_mask[(max_amp_idx + upper_end):] = False
+
+            if all(~valid_mask):
+                frequencies[i] = np.nan
+                continue
+
+            # fit Parabola
+            parafit = Polynomial.fit(test_freqs[valid_mask], amps[valid_mask], 2)
+            func = parafit.convert()
+
+            # find frequency where derivative is 0
+            deriv = func.deriv(1)
+            freq = deriv.roots()[0]
+
+            frequencies[i] = freq
+    else:
+        frequencies[:] = f_beacon_estimate
+
+    # evaluate fourier transform at freq for each trace
+    for i, freq in enumerate(frequencies):
+        if freq is np.nan:
+            phases[i] = np.nan
+            amplitudes[i] = np.nan
+            continue
+
+        real, imag = direct_fourier_transform(freq, t_trace, traces[i])
+
+        phases[i] = np.arctan2(real, imag)
+        amplitudes[i] = 1/len(t_trace) * (real**2 + imag**2)**0.5
+
+    return frequencies, phases, amplitudes
+
+if __name__ == "__main__":
+    from os import path
+    import sys
+
+    
+    f_beacon_band = (49e-3,55e-3) #GHz
+    allow_frequency_fitting = True
+    read_frequency_from_file = True
+
+    fname = "ZH_airshower/mysim.sry"
+
+    ####
+    fname_dir = path.dirname(fname)
+    antennas_fname = path.join(fname_dir, beacon.antennas_fname)
+
+    if not path.isfile(antennas_fname):
+        print("Antenna file cannot be found, did you try generating a beacon?")
+        sys.exit(1)
+
+    # read in antennas
+    with h5py.File(antennas_fname, 'a') as fp:
+        if 'antennas' not in fp.keys():
+            print("Antenna file corrupted? no antennas")
+            sys.exit(1)
+
+        group = fp['antennas']
+
+        f_beacon = None
+        if read_frequency_from_file and 'tx' in fp:
+            tx = fp['tx']
+            if 'f_beacon' in tx.attrs:
+                f_beacon = tx.attrs['f_beacon']
+            else:
+                print("No frequency found in file.")
+                sys.exit(2)
+            f_beacon_estimate_band = 0.01*f_beacon
+
+        elif allow_frequency_fitting:
+            f_beacon_estimate_band = (f_beacon_band[1] - f_beacon_band[0])/2
+            f_beacon = f_beacon_band[1] - f_beacon_estimate_band
+        else:
+            print("Not allowed to fit frequency and no tx group found in file.")
+            sys.exit(2)
+
+        N_antennas = len(group.keys())
+        # just for funzies
+        found_data = np.zeros((N_antennas, 3))
+
+        # Determine frequency and phase
+        for i, name in enumerate(group.keys()):
+            ant_group = group[name]
+
+            if 'traces' not in ant_group.keys():
+                print(f"Antenna file corrupted? no 'traces' in {name}")
+                sys.exit(1)
+
+            traces = ant_group['traces']
+
+            freqs, phases, amps = find_beacon_in_traces( 
+                    traces[1:-1], traces[0],
+                    f_beacon_estimate=f_beacon,
+                    frequency_fit=allow_frequency_fitting,
+                    f_beacon_estimate_band=f_beacon_estimate_band
+                    )
+
+            # only take Ex for now
+            frequency = freqs[-1]
+            phase = phases[-1]
+            amplitude = amps[-1]
+
+            print(frequency, phase, amplitude)
+
+            ant_group.attrs['beacon_freq'] = frequency
+            ant_group.attrs['beacon_phase'] = phase
+            ant_group.attrs['beacon_amplitude'] = amplitude
+            ant_group.attrs['beacon_orientation'] = 'Ex'
+
+            found_data[i] = frequency, phase, amplitude
+
+    # show histogram of found frequencies
+    if True:
+        import matplotlib.pyplot as plt
+        if True or allow_frequency_fitting:
+            fig, ax = plt.subplots()
+            ax.set_xlabel("Frequency")
+            ax.set_ylabel("Counts")
+            ax.hist(found_data[:,0], bins='auto', density=False)
+
+        if True:
+            fig, ax = plt.subplots()
+            ax.set_xlabel("Amplitudes")
+            ax.set_ylabel("Counts")
+            ax.hist(found_data[:,2], bins='auto', density=False)
+
+        plt.show()

simulations/airshower_beacon_simulation/show_beacon_amplitude_antennas.py

@@ -0,0 +1,65 @@
+#!/usr/bin/env python3
+# vim: fdm=indent ts=4
+
+__doc__ = \
+"""
+Show the beacon amplitude per antenna.
+"""
+
+import numpy as np
+import h5py
+import matplotlib.pyplot as plt
+
+import aa_generate_beacon as beacon
+import lib
+
+if __name__ == "__main__":
+    import os.path as path
+
+    fname = "ZH_airshower/mysim.sry"
+    
+    ####
+    fname_dir = path.dirname(fname)
+    antennas_fname = path.join(fname_dir, beacon.antennas_fname)
+
+    f_beacon, tx, antennas = beacon.read_beacon_hdf5(antennas_fname)
+
+    beacon_frequencies = np.array([ant.attrs['beacon_freq'] for ant in antennas])
+    beacon_amplitudes = np.array([ant.attrs['beacon_amplitude'] for ant in antennas])
+    beacon_phases = np.array([ant.attrs['beacon_phase'] for ant in antennas])
+
+    #####
+    sizes = 64
+    if True:
+        vals = beacon_phases
+        colorlabel = '$\\varphi$'
+        sizes = 64*(beacon_amplitudes/np.max(beacon_amplitudes))**2
+    else:
+        vals = beacon_amplitudes
+        colorlabel = "[$\\mu$V/m]"
+
+    x = [ a.x for a in antennas ]
+    y = [ a.y for a in antennas ]
+    #####
+
+    fig, axs = plt.subplots()
+    axs.set_title("Amplitude at beacon frequency at each antenna")
+    axs.set_aspect('equal', 'datalim')
+    axs.set_xlabel('[m]')
+    axs.set_ylabel('[m]')
+
+    if True:
+        # underlie a calculate phase field
+        xs = np.linspace( np.min(x), np.max(x), 50)
+        ys = np.linspace( np.min(y), np.max(y), 50)
+        phases, (xs, ys) = lib.phase_field_from_tx(xs, ys, tx, f_beacon, return_meshgrid=False)
+        sc2 = axs.scatter(xs, ys, c=phases, alpha=0.5, zorder=-5)
+        fig.colorbar(sc2, ax=axs)
+
+    sc = axs.scatter(x, y, c=vals, s=sizes)
+
+    axs.plot(tx.x, tx.y, marker='X', color='k')
+
+    fig.colorbar(sc, ax=axs, label=colorlabel)
+
+    plt.show()