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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@ -4,11 +4,12 @@ def read(filename):
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# Get time
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df = pandas.read_csv(filename)
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time = df['t (s)'].to_numpy()
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n = df['n (m^-3)'].to_numpy()
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u = df['u (m s^-1)'].to_numpy()
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T = df['T (eV)'].to_numpy()
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n = df['n_i (m^-3)'].to_numpy()
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u = df['u_i (m s^-1)'].to_numpy()
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T = df['T_i (eV)'].to_numpy()
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Zinj = df['Zinj'].to_numpy()
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Z_Tne = df['Z_Tne'].to_numpy()
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return time, n, u, T, Zinj
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return time, n, u, T, Zinj, Z_Tne
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