mirror of
https://gitlab.science.ru.nl/mthesis-edeboone/m-thesis-introduction.git
synced 2024-11-13 10:03:32 +01:00
138 lines
3.8 KiB
Python
Executable file
138 lines
3.8 KiB
Python
Executable file
#!/usr/bin/env python3
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import numpy as np
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import json
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import h5py
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from earsim import REvent, Antenna
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import lib
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tx_fname = 'tx.json'
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clocks_fname = 'clocks.csv'
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beacon_fname = 'beacons.hdf5'
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def write_beacon_file(fname, tx, f_beacon):
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with open(fname, 'w') as fp:
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return json.dump(
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dict(
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f_beacon=f_beacon,
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tx=dict(
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x=tx.x,
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y=tx.y,
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z=tx.z,
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name=tx.name
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)
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),
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fp
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)
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def read_beacon_file(fname):
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with open(fname, 'r') as fp:
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data = json.load(fp)
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f_beacon = data['f_beacon']
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tx = Antenna(**data['tx'])
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return tx, f_beacon
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def read_beacon_hdf5(fname):
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with h5py.File(fname, 'r') as h5:
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tx_attrs = h5['tx'].attrs
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f_beacon = tx_attrs.get('f_beacon')
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mydict = { k:tx_attrs.get(k) for k in ['x', 'y', 'z', 'name'] }
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tx = Antenna(**mydict)
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antennas = []
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for k, ant in h5['antennas'].items():
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mydict = { k:ant.attrs.get(k) for k in ['x', 'y', 'z', 'name'] }
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antenna = Antenna(**mydict)
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antenna.t = ant['traces'][0]
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antenna.beacon = ant['traces'][1]
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antennas.append(antenna)
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return f_beacon, tx, antennas
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def init_beacon_hdf5(fname, tx, f_beacon):
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with h5py.File(fname, 'w') as fp:
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tx_group = fp.create_group('tx')
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tx_group['f_beacon'] = f_beacon
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tx_group['x'] = tx.x
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tx_group['y'] = tx.y
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tx_group['z'] = tx.z
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tx_group['name'] = tx.name
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return fname
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def append_beacon_hdf5(fname, antenna, *datasets, clock_offset=None, overwrite=False):
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with h5py.File(fname, 'a') as fp:
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if 'antennas' not in fp.keys():
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group = fp.create_group('antennas')
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else:
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group = fp['antennas']
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if overwrite:
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raise NotImplementedError
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ant_group = group.create_group(antenna.name)
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ant_group['x'] = antenna.x
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ant_group['y'] = antenna.y
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ant_group['z'] = antenna.z
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ant_group['name'] = antenna.name
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if clock_offset is not None:
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ant_group['clock_offset'] = clock_offset
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dset = ant_group.create_dataset('traces', (len(datasets)+1, len(antenna.t)), dtype='f')
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dset[0] = antenna.t
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for i, mydset in enumerate(datasets,1):
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dset[i] = mydset
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if __name__ == "__main__":
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from os import path
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max_clock_offset = 100# ns
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remake_tx = False
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remake_clock_offsets = False
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seed = 12345
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rng = np.random.default_rng(seed)
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fname = "ZH_airshower/mysim.sry"
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tx = Antenna(x=-500,y=0,z=0,name='tx')
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f_beacon = 50e-3 # GHz
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####
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fname_dir = path.dirname(fname)
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tx_fname = path.join(fname_dir, tx_fname)
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clocks_fname = path.join(fname_dir, clocks_fname)
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beacon_fname = path.join(fname_dir, beacon_fname)
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if not path.isfile(tx_fname) or remake_tx:
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write_beacon_file(tx_fname, tx, f_beacon)
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else:
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tx, f_beacon = read_beacon_file(tx_fname)
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# read in antennas
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ev = REvent(fname)
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N_antennas = len(ev.antennas)
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if not path.isfile(clocks_fname) or remake_clock_offsets:
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clock_offsets = max_clock_offset * (2*rng.uniform(size=N_antennas) - 1)
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np.savetxt(clocks_fname, clock_offsets)
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else:
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clock_offsets = np.loadtxt(clocks_fname)
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# make beacon per antenna
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init_beacon_hdf5(beacon_fname, tx, f_beacon)
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for i, antenna in enumerate(ev.antennas):
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append_beacon_hdf5(
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beacon_fname,
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antenna,
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lib.beacon_from(tx, antenna, f_beacon, antenna.t, t0=clock_offsets[i]),
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clock_offset=clock_offsets[i],
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)
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