I'm stupid and I deleted the previous repository...

So, code is working, this case reproduce a Diko's peak with Poisson
equation by changing the boundary conditions over time.

scripts_python/plotCumF.py

@@ -0,0 +1,41 @@
+import readPhi
+import readF
+import matplotlib.pyplot as plt
+import glob
+import numpy as np
+from scipy.constants import e, k
+
+
+m_i = 1.9712e-25
+
+paths = ['../quasiNeutral_fullAblation/','../Poisson_fullAblation/']
+#  paths = ['../quasiNeutral_partialAblation/','../Poisson_partialAblation/']
+for path in paths:
+    filesCum_i = sorted(glob.glob(path+'time_*_fCum_i.csv'))
+    start = 0
+    end   = len(filesCum_i)
+    every = 100
+
+    for fileCum_i in filesCum_i[start:end:every]:
+        time, x, v, f_i = readF.read(fileCum_i)
+
+        plt.plot(v**2*m_i*0.5/e, f_i[0]*e/m_i/v, label='{:.3f} ns'.format(time*1e9))
+
+    time, x, v, f_i = readF.read(filesCum_i[-1])
+
+    plt.plot(v**2*m_i*0.5/e, f_i[0]*e/m_i/v, label='{:.3f} ns'.format(time*1e9), color='k')
+
+    plt.yscale('log')
+    plt.ylim([1e18,1e24])
+    plt.ylabel('Sum f(e) / sqrt(e) (m^-3 eV^-1)')
+    plt.xscale('log')
+    plt.xlim([1e0,1e4])
+    plt.xlabel('e (eV)')
+
+    plt.legend()
+
+    plt.title('r = {:.1f} mm, time_max={:.1f} ns '.format(x[0]*1e3, time*1e9) + path)
+
+    plt.show()
+ 
+