n_e as boundary condition
Now n_e is given as the density at the boundary and n_i at the boundary is calculated once Z is known. This aims to eliminate the iterative process.
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6 changed files with 38 additions and 38 deletions
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@ -12,15 +12,15 @@ from scipy.constants import e, k
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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 = ['../2025-04-08_09.36.52/']
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paths = ['../2025-04-09_16.45.52/']
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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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Zlist = readZlist.read(path+'ZList.csv')
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filesPhi = sorted(glob.glob(path+'time_*_phi.csv'))
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start = 0
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end = 20#len(filesPhi)
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every = 5
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start = 80
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end = 85#len(filesPhi)
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every = 1
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fig, ax = plt.subplots(4, sharex='all')
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ax[1].set_yscale('log')
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ax[1].set_ylim(bottom=1e10, top=1e24)
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@ -30,7 +30,8 @@ for path, label in zip(paths, labels):
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ave_ui = np.zeros(len(r))
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ave_Ti = np.zeros(len(r))
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for Z in Zlist:
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filesMom_i = sorted(glob.glob(path+'time_*_Z{:.0f}000_mom_i.csv'.format(Z)))
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filename='time_*_Z_{:.1f}_mom_i.csv'.format(Z)
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filesMom_i = sorted(glob.glob(path+filename))
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fileMom_i = filesMom_i[t]
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time, r, n_i, u_i, T_i, Zave = readMom.read(fileMom_i)
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sum_Zni += Zave*n_i
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