41 lines
1.5 KiB
Python
41 lines
1.5 KiB
Python
import readPhi
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import readMom
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import readF
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import matplotlib.pyplot as plt
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import glob
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import numpy as np
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from scipy.constants import e, k
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# paths = ['../quasiNeutral_fullAblation/','../2024-09-26_11.48.04/']
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# paths = ['../2024-09-26_12.47.11/']
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# paths = ['../quasiNeutral_partialAblation/','../Poisson_partialAblation/']
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# paths = ['../2024-10-02_14.30.44/']
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# paths = ['../quasiNeutral_fullAblation/','../Poisson_fullAblation/']
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paths = ['../2024-11-18_08.57.04/']
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labels = [path[3:-1] for path in paths]
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for path, label in zip(paths, labels):
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filesPhi = sorted(glob.glob(path+'time_*_phi.csv'))
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filesMom_i = sorted(glob.glob(path+'time_*_mom_i.csv'))
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start = 500
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end = len(filesMom_i)
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every = 200
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fig, ax = plt.subplots(4, sharex='all')
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for fileMom_i, filePhi in zip(filesMom_i[start:end+1:every], filesPhi[start:end+1:every]):
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time, r, phi, E, n_e = readPhi.read(filePhi)
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time, r, n_i, u_i, T_i, Zave = readMom.read(fileMom_i)
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# ax[0].plot(r, phi, label='t = {:.1f} ns'.format(time*1e9))
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ax[0].plot(r, E, label='t = {:.1f} ns'.format(time*1e9))
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# ax[0].plot(r, (Zave*n_i - n_e)/n_e, label='t = {:.1f} ns'.format(time*1e9))
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ax[1].set_yscale('log')
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ax[1].set_ylim([1e20,2e25])
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ax[1].plot(r, Zave*n_i)
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ax[1].plot(r, n_e, color='k', linestyle='dashed')
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ax[2].plot(r, u_i)
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ax[3].plot(r, T_i)
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ax[0].set_title(label)
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ax[0].legend()
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plt.show()
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