Now, if no normal is provided to an injection in the input file, the
velocity direction of the particles is chosen to be the surface normal.
This allows to inject particles from curves, corners... without having
to provide a direction or declaring multiple injections.
This assigns the correct random cell when a particle is created from the
ionization boundary.
Also, the number of possible ionizations is reduced by one if there is a
suscesful ionization. This has no impact on the results.
During the improve performant step, an error in the electrostatic
pushers was introduced, resulting in these using the minimum time step
and not the species time step when calculating the acceleration.
While testing the examples distributed with the code, a few errors were
found and fixed, mostly related with the K matrix in 1D geometry and
reading values from initial conditions for species.
Finalysing first step of performance improvement focusing on reducing
iteration CPU time by improving calculation of basic element functions,
which took a lot of the CPU time
I noticed that phy2logquad had a lot of overhead. Trying to reducing it
by simplifying calls to fPsi, dPsi and such.
The function for fPsi has been made so no memory is allocated and works
under the assumption that the input array has the right size (1:numNodes)
Ionization and recombination collisions have been modified to have the
right products accounting for the possibility that primary electron and
target particle have different weight.
Now particles can be split to increase statistics when they enter a
smaller cell. However, this only has an effect for collisions.
Still, I have to rethink a lot about this feature.
An issue in the node volume calculation in cylindrical coordinates was
found. This was causing wrong conservation of current. Still to test
with ALPHIE_Grid case.
Still to check triangular element.
Still to theck 1D radial geometry
New input variables to activate the average scheme.
Still only computing the mean, no the standard deviation.
Output checked with ALPHIE Grid example. Looks good.
No impact on CPU time, although testing is still required.
Output for the example ALPHIE_Grid.
Found an issue when multiple injections were used with species with
different time steps.
Modification to the way to compute the ionization boundary:
The maximum number of ionizations is computed by eRel/eThreshold
(relative energy / threshold of ionization)
For each possible ionization, the probability of ionization is
computed based on the density of neutrals, cross section and effective
time divided by the number of maximum ionizations.
If an ionization takes place, the ionization energy is substracted
from the relative energy.
Documentation adapted to the new way to define geometry and pushers.
Examples are currently being tested and small modifications are being
done to include a reference output.
