mirror of
https://gitlab.science.ru.nl/mthesis-edeboone/m-thesis-introduction.git
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87 lines
2.2 KiB
Python
Executable file
87 lines
2.2 KiB
Python
Executable file
#!/usr/bin/env python3
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import numpy as np
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import matplotlib.pyplot as plt
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from earsim import REvent
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def plot_antenna_Efields(antenna, ax=None, plot_Ex=True, plot_Ey=True, plot_Ez=True, label_append="",**kwargs):
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"""Show waveforms from an antenna"""
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if ax is None:
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ax = plt.gca()
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default_kwargs = dict(alpha=0.6)
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kwargs = {**default_kwargs, **kwargs}
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i = antenna.name
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if plot_Ex:
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ax.plot(antenna.t, antenna.Ex, label=f"E{{x}}{label_append}".format(x='x', i=i), **kwargs)
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if plot_Ey:
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ax.plot(antenna.t, antenna.Ey, label=f"E{{x}}{label_append}".format(x='y', i=i), **kwargs)
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if plot_Ez:
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ax.plot(antenna.t, antenna.Ez, label=f"E{{x}}{label_append}".format(x='z', i=i), **kwargs)
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ax.set_xlabel("[ns]")
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ax.set_ylabel("[$\mu$V/m]")
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ax.set_title("Antenna {i}".format(i=i))
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ax.legend()
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return ax
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def plot_antenna_geometry(antennas, ax=None, log_max=False, plot_names=True, plot_max_values=True,**kwargs):
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"""Show the max values at each antenna."""
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default_kwargs = dict(
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cmap='Spectral_r'
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)
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kwargs = {**default_kwargs, **kwargs}
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x = [ a.x for a in antennas ]
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y = [ a.y for a in antennas ]
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if ax is None:
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ax = plt.gca()
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if plot_max_values:
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max_vals = np.asarray([ np.max([np.max(a.Ex), np.max(a.Ey), np.max(a.Ez)]) for a in antennas ])
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if log_max:
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max_vals = np.log10(max_vals)
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else:
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max_vals = None
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sc = ax.scatter(x, y, c=max_vals, **kwargs)
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if plot_max_values:
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fig = ax.get_figure()
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fig.colorbar(sc, ax=ax, label="[$\mu$V/m]")
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if plot_names:
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[ ax.annotate(a.name, (a.x, a.y), ha='center',va='center') for a in antennas ]
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ax.set_title("Maximum E field at each antenna")
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ax.set_ylabel("[m]")
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ax.set_xlabel("[m]")
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return ax
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if __name__ == "__main__":
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fname = "ZH_airshower/mysim.sry"
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i = 0
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ev = REvent(fname)
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if True:
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fig, ax1 = plt.subplots()
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plot_antenna_Efields(ev.antennas[i], ax=ax1)
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if True:
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fig2, ax2 = plt.subplots()
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plot_antenna_geometry(ev.antennas, ax=ax2, plot_max_values=True, plot_names=False)
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ax2.set_aspect('equal', 'datalim')
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plt.show()
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