Smilei includes binary collisions between various species, which can also generate ionization when one of the species is ions and the other one electrons. Smilei's website already gives a description of the approach, and provides results from various benchmarks.
The list of benchmarks, located in the benchmarks/collisions/
folder is briefly
described below. You may run any of these benchmarks depending on your interests.
An electron beam encounters a thermal ion population; e-i collisions slow the beam down and make it spread. Various electron velocities and ion charges are considered. For each case, the ratios of weights between electrons and ions is varied.
1. initial velocity = 0.05, ion charge = 1
beam_relaxation1.py
beam_relaxation2.py
beam_relaxation3.py
beam_relaxation123.py
2. initial velocity = 0.01, ion charge = 1
beam_relaxation4.py
beam_relaxation5.py
beam_relaxation6.py
beam_relaxation456.py
3. initial velocity = 0.01, ion charge = 3
beam_relaxation7.py
beam_relaxation8.py
beam_relaxation9.py
beam_relaxation789.py
Thermal electrons start with a different temperature from that of ions. The thermalization due to e-i collisions is monitored for three different weight ratios.
thermalisation_ei1.py
thermalisation_ei2.py
thermalisation_ei3.py
thermalisation_ei123.py
Non-isotropic thermal electrons are isotropized with e-e collisions.
temperature_isotropization1.py
temperature_isotropization2.py
temperature_isotropization.py
An electron population starting with a rectangular velocity distribution becomes maxwellian due to e-e collisions.
Maxwellianization1.py
Maxwellianization.py
The e-e slowing rate of test electrons passing through an electron plasma is monitored vs. time and compared to a theoretical stopping power.
Stopping_power1.py
: projectiles from 10 to 30 keVStopping_power2.py
: projectiles from 100 to 300 keVStopping_power3.py
: projectiles from 1 to 10 MeVStopping_power123.py
Drifting electrons in a cold Al plasma cause e-i impact ionization at a rate compared to theoretical values. The three inputs below correspond to various weight ratios between electrons and ions.
ionization_rate1.py
ionization_rate2.py
ionization_rate3.py
ionization_rate.py
The ionizing e-i slowing rate of test electrons passing through an Al plasma is monitored vs. time and compared to a theoretical stopping power.
ionization_stopping_power1.py
: measurement for electrons at various energiesionization_stopping_power2.py
:ionization_stopping_power3.py
: three examples to show the stopping dynamicsionization_stopping_power4.py
:ionization_stopping_power.py
The capability to ionize several times in one timestep is illustrated for five different materials. For each material, two cases are provided: the first is well resolved, while the second has a low time resolution requiring multiple ionization.
ionization_multipleC1.py
ionization_multipleC2.py
ionization_multipleAl1.py
ionization_multipleAl2.py
ionization_multipleZn1.py
ionization_multipleZn2.py
ionization_multipleSn1.py
ionization_multipleSn2.py
ionization_multipleAu1.py
ionization_multipleAu2.py
ionization_multiple.py
As recombination is not accounted for, we can expect excess ionization to occur indefinitely without being balanced to equilibrium. For picosecond laser interaction, we illustrate here that the recombination rate can be neglected, thus providing reasonable ionization state vs. temperature, in various materials.
ionization_equilibriumH.py
ionization_equilibriumAl.py
ionization_equilibriumZn.py
ionization_equilibriumAu.py
ionization_equilibrium.py