JGonzalez
8eab3b5610
So, code is working, this case reproduce a Diko's peak with Poisson equation by changing the boundary conditions over time.
41 lines
1 KiB
Python
41 lines
1 KiB
Python
import readPhi
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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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m_i = 1.9712e-25
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paths = ['../quasiNeutral_fullAblation/','../Poisson_fullAblation/']
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# paths = ['../quasiNeutral_partialAblation/','../Poisson_partialAblation/']
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for path in paths:
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filesCum_i = sorted(glob.glob(path+'time_*_fCum_i.csv'))
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start = 0
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end = len(filesCum_i)
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every = 100
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for fileCum_i in filesCum_i[start:end:every]:
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time, x, v, f_i = readF.read(fileCum_i)
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plt.plot(v**2*m_i*0.5/e, f_i[0]*e/m_i/v, label='{:.3f} ns'.format(time*1e9))
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time, x, v, f_i = readF.read(filesCum_i[-1])
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plt.plot(v**2*m_i*0.5/e, f_i[0]*e/m_i/v, label='{:.3f} ns'.format(time*1e9), color='k')
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plt.yscale('log')
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plt.ylim([1e18,1e24])
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plt.ylabel('Sum f(e) / sqrt(e) (m^-3 eV^-1)')
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plt.xscale('log')
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plt.xlim([1e0,1e4])
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plt.xlabel('e (eV)')
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plt.legend()
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plt.title('r = {:.1f} mm, time_max={:.1f} ns '.format(x[0]*1e3, time*1e9) + path)
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plt.show()
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