Teaching materials for PTetra workshop (https://4dspace-uio.github.io/PTetraWorkshop/)
Try to use ParaView to visualize fields. Here’s a sugggestion: Choose the simulation with most frequent output of VTK files (the sixth simulation). This should also have a drift velocity. Then,
pictetra*.vtk
, and plot the potential in a 2D slice
perpendicular to the drift velocity (and the cylinder).pictetra*.vtk
scc*.vtk
, and choose to visualize the surface
current density.This particular animation is of a 0.5-Debye-length sphere at 1V. Your animation may be different.
Use Python and Langmuir to plot the IV characteristic of the object according to the OML theory (spherical assignment) or finite length theory (cylindrical assignment) for the Oxygen plasma representative of the F-layer:
plasma = [Electron(n=1e11, T=1000),
Oxygen(n=1e11, T=1000)]
-1V to 4V is a good range of voltages. Once you have done that, plot one marker
(or “dot”) for each of the three simulations with fixed voltages on top of the
IV-characteristic from Langmuir (it looks best if there’s no line connecting
the dots). The steady-state currents can be found by reading pictetra.hst
for
the simulations, taking the exponential moving average, and using the last
sample after averaging. Presumably, some functions in func.py
can be reused.
See func.py
and plot.py
for examples.
Include also a marker for the floating potential simulation. In this case the
voltage must be read from pictetra.hst
, preferrably by taking the last sample
after averaging. (For simplicity, it might be an option to read the voltage
from pictetra.hst
for all four simulations).
Questions: