m-thesis-introduction/simulations/airshower_beacon_simulation/generate_beacon.py

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#!/usr/bin/env python3
import numpy as np
import json
import h5py
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import os.path as path
from copy import deepcopy as copy
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from earsim import REvent, Antenna
import lib
tx_fname = 'tx.json'
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antennas_fname = 'antennas.hdf5'
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def write_tx_file(fname, tx, f_beacon):
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with open(fname, 'w') as fp:
return json.dump(
dict(
f_beacon=f_beacon,
tx=dict(
x=tx.x,
y=tx.y,
z=tx.z,
name=tx.name
)
),
fp
)
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def read_tx_file(fname):
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with open(fname, 'r') as fp:
data = json.load(fp)
f_beacon = data['f_beacon']
tx = Antenna(**data['tx'])
return tx, f_beacon
def read_beacon_hdf5(fname):
with h5py.File(fname, 'r') as h5:
tx_attrs = h5['tx'].attrs
f_beacon = tx_attrs.get('f_beacon')
mydict = { k:tx_attrs.get(k) for k in ['x', 'y', 'z', 'name'] }
tx = Antenna(**mydict)
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antennas = []
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]
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antenna.Ex = ant['traces'][1]
antenna.Ey = ant['traces'][2]
antenna.Ez = ant['traces'][3]
antenna.beacon = ant['traces'][4]
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antennas.append(antenna)
return f_beacon, tx, antennas
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def init_antenna_hdf5(fname, tx = None, f_beacon = None):
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with h5py.File(fname, 'w') as fp:
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if tx is not None or f_beacon is not None:
tx_group = fp.create_group('tx')
tx_attrs = tx_group.attrs
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if f_beacon is not None:
tx_attrs['f_beacon'] = f_beacon
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if tx is not None:
tx_attrs['x'] = tx.x
tx_attrs['y'] = tx.y
tx_attrs['z'] = tx.z
tx_attrs['name'] = tx.name
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return fname
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def append_antenna_hdf5(fname, antenna, columns = [], name='traces', prepend_time=True, overwrite=True):
if not overwrite:
raise NotImplementedError
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with h5py.File(fname, 'a') as fp:
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if 'antennas' in fp.keys():
if not overwrite:
raise NotImplementedError
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group = fp['antennas']
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else:
group = fp.create_group('antennas')
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if antenna.name in group:
if not overwrite:
raise NotImplementedError
ant_group = group[antenna.name]
else:
ant_group = group.create_group(antenna.name)
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ant_attrs = ant_group.attrs
ant_attrs['x'] = antenna.x
ant_attrs['y'] = antenna.y
ant_attrs['z'] = antenna.z
ant_attrs['name'] = antenna.name
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if name in ant_group:
if not overwrite:
raise NotImplementedError
del ant_group[name]
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dset = ant_group.create_dataset(name, (len(columns) + 1*prepend_time, len(columns[0])), dtype='f')
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if prepend_time:
dset[0] = antenna.t
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for i, col in enumerate(columns, 1*prepend_time):
dset[i] = col
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if __name__ == "__main__":
from os import path
remake_tx = False
fname = "ZH_airshower/mysim.sry"
tx = Antenna(x=-500,y=0,z=0,name='tx')
f_beacon = 50e-3 # GHz
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beacon_amplitudes = 1e-6*np.array([1e2, 0, 0]) # mu V/m
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####
fname_dir = path.dirname(fname)
tx_fname = path.join(fname_dir, tx_fname)
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antennas_fname = path.join(fname_dir, antennas_fname)
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if not path.isfile(tx_fname) or remake_tx:
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write_tx_file(tx_fname, tx, f_beacon)
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else:
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tx, f_beacon = read_tx_file(tx_fname)
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# read in antennas
ev = REvent(fname)
N_antennas = len(ev.antennas)
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# initialize hdf5 file
init_antenna_hdf5(antennas_fname, tx, f_beacon)
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# make beacon per antenna
for i, antenna in enumerate(ev.antennas):
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beacon = lib.beacon_from(tx, antenna, f_beacon, antenna.t)
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E = np.array([antenna.Ex, antenna.Ey, antenna.Ez, beacon])
append_antenna_hdf5( antennas_fname, antenna, E, name='orig_traces', prepend_time=True)
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# add to relevant polarisation
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for i, _ in enumerate(beacon_amplitudes):
E[i] += beacon_amplitudes[i]*beacon
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append_antenna_hdf5( antennas_fname, antenna, E, name='traces', prepend_time=True)
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print("Antenna HDF5 file written as " + str(antennas_fname))