# ParticleTracker

class plasmapy.simulation.particletracker.ParticleTracker(plasma, particle_type='p', n_particles=1, scaling=1, dt=<Quantity inf s>, nt=inf, integrator='explicit_boris')

Bases: object

Object representing a species of particles: ions, electrons, or simply a group of particles with a particular initial velocity distribution.

Parameters:
x

Current position. Shape (n, 3).

Type:

astropy.units.Quantity

v

Current velocity. Shape (n, 3).

Type:

astropy.units.Quantity

position_history

History of position. Shape (nt, n, 3).

Type:

astropy.units.Quantity

velocity_history

History of velocity. Shape (nt, n, 3).

Type:

astropy.units.Quantity

q

Charge of particle.

Type:

astropy.units.Quantity

m

Mass of particle.

Type:

astropy.units.Quantity

eff_q

Total charge of macroparticle.

Type:

astropy.units.Quantity

eff_m

Total mass of macroparticle.

Type:

astropy.units.Quantity

Examples

Attributes Summary

 integrators kinetic_energy_history Calculate the kinetic energy history for each particle.

Methods Summary

 boris_push([init]) Implement the Boris algorithm for moving particles and updating their velocities. plot_time_trajectories([plot]) Draw position history versus time. Draw trajectory history. Run a simulation instance. Test conservation of kinetic energy.

Attributes Documentation

integrators = {'explicit_boris': <function boris_push>}
kinetic_energy_history

Calculate the kinetic energy history for each particle.

Returns:

Array of kinetic energies, shape (nt, n).

Return type:

Quantity

Methods Documentation

boris_push(init=False)

Implement the Boris algorithm for moving particles and updating their velocities.

Parameters:

init (bool, optional) – If True, does not change the particle positions and sets dt to -dt/2.

Notes

The Boris algorithm is the standard energy particle movement in plasma physics. See pages 58–63 of Birdsall and Langdon [2004] for more details.

Conceptually, the algorithm has three phases:

1. Add half the impulse from electric field.

2. Rotate the particle velocity about the direction of the magnetic field.

3. Add the second half of the impulse from the electric field.

This ends up causing the magnetic field action to be properly “centered” in time, and the algorithm conserves energy.

plot_time_trajectories(plot='xyz')

Draw position history versus time.

Parameters:

plot (str, optional) – Enable plotting of position component x, y, z for each of these letters included in plot.

plot_trajectories()

Draw trajectory history.

run()

Run a simulation instance.

test_kinetic_energy()

Test conservation of kinetic energy.