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n_e as boundary condition

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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.
This commit is contained in:
Jorge Gonzalez 2025-04-10 08:49:01 +02:00
commit 0c27b98e2e
6 changed files with 38 additions and 38 deletions
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12
scripts_python/plotBC.py
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@ -4,15 +4,17 @@ import numpy as np
import readBC
paths = ['../polytropic_80ns_T30/']
time, n, u, T, Zinj = readBC.read(paths[0] + 'bc.csv')
paths = ['../2025-04-10_08.40.09/']
time, n_i, u_i, T_i, Zinj, Z_Tne = readBC.read(paths[0] + 'bc.csv')
fig, ax = plt.subplots()
n_e = n_i * Zinj
plt.plot(time, n / n[0], label = f"$n_i$ ($\\times {n[0] * 1e-6:.0e} \\; cm^{{-3}})$")
plt.plot(time, T / T[0], label = f"$T \\; (\\times{T[0]:.1f} \\; eV)$")
plt.plot(time, Zinj, label = "Injection species")
plt.plot(time, n_e / n_e[0], label = f"$n_e$ ($\\times {n_e[0] * 1e-6:.0e} \\; cm^{{-3}})$")
plt.plot(time, T_i / T_i[0], label = f"$T \\; (\\times{T_i[0]:.1f} \\; eV)$")
plt.plot(time, Zinj, label = "Zinj")
plt.plot(time, Z_Tne, label = "Z_Tne")
plt.semilogy()
plt.legend()
plt.show()