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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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6
scripts_python/plotCumF.py
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@ -16,7 +16,7 @@ m_i = 1.9712e-25
# paths = ['../2024-12-10_18.45.17/', '../Poisson_50ns_T30Z11/']
# paths = ['../2024-12-11_12.38.27/', '../Poisson_polytropic_fa_T30Z11/', '../Poisson_fa_T30Z11/']
# paths = ['../Poisson_partialAblation/','../Poisson_partialAblation_lowerT/','../Poisson_partialAblation_lowT/','../Poisson_partialAblation_highT/']
paths = ['../polytropic_80ns_T60/']
paths = ['../polytropic_80ns_T30/']
labels = [path[3:-1] for path in paths]
for path, label in zip(paths, labels):
@ -26,10 +26,12 @@ for path, label in zip(paths, labels):
sumF = np.zeros(len(v))
for Z in Zlist:
filesCum_i = sorted(glob.glob(path+'time_*_Z{:.0f}000_fCum_i.csv'.format(Z)))
filename='time_*_Z_{:.1f}_fCum_i.csv'.format(Z)
filesCum_i = sorted(glob.glob(path+filename))
time, x, v, f_i = readF.read(filesCum_i[-1])
sumF += f_i[0]
plt.plot(v**2*m_i*0.5/e, f_i[0]*e/m_i/v, label=Z)
print(time)
plt.plot(v**2*m_i*0.5/e, sumF*e/m_i/v, label='sum', color='k', linestyle='dashed')
plt.yscale('log')