mirror of
https://gitlab.science.ru.nl/mthesis-edeboone/m-thesis-introduction.git
synced 2024-11-14 02:23:32 +01:00
58 lines
1.4 KiB
Python
Executable file
58 lines
1.4 KiB
Python
Executable file
#!/usr/bin/env python3
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# vim: fdm=indent ts=4
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"""
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Do a reconstruction of airshower after correcting for the
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clock offsets.
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"""
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import matplotlib.pyplot as plt
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from mpl_toolkits.mplot3d import Axes3D # required for projection='3d' on old matplotliblib versions
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import numpy as np
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from os import path
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import pickle
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import aa_generate_beacon as beacon
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import lib
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from lib import rit
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if __name__ == "__main__":
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import sys
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import os
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import matplotlib
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if os.name == 'posix' and "DISPLAY" not in os.environ:
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matplotlib.use('Agg')
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from scriptlib import MyArgumentParser
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parser = MyArgumentParser()
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args = parser.parse_args()
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fname = "ZH_airshower/mysim.sry"
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fig_dir = "./figures/"
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show_plots = args.show_plots
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####
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fname_dir = path.dirname(fname)
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antennas_fname = path.join(fname_dir, beacon.antennas_fname)
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pickle_fname = path.join(fname_dir, 'res.pkl')
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# create fig_dir
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if fig_dir:
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os.makedirs(fig_dir, exist_ok=True)
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# Load res from pickle
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with open(pickle_fname, 'rb') as f:
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res = pickle.load(f)
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##
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# Longitudinal figures
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##
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for i in range(2):
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mode = ['grammage', 'distance'][i]
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fig = rit.longitudinal_figure(res.dl[0], res.dX[0], res.profile_rit[0], mode=mode)
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if fig_dir:
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fig.savefig(path.join(fig_dir, path.basename(__file__) + f".{mode}.pdf"))
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