solprop.backends.numpy_ref.envelope_plasma#

Evaluate compiled envelope plasma as separate current-source streams.

Functions

`envelope_populations`(field_t, assembly, ...)	Recompute each node's final population and peak cycle-averaged rate.
`envelope_sources`(field_t, assembly, scalars, ...)	Form two windowed sources from independently recomputed channel populations.

solprop.backends.numpy_ref.envelope_plasma.envelope_populations(field_t, assembly, initials, dt)[source]#

Recompute each node’s final population and peak cycle-averaged rate.

Parameters:

field_tnumpy.ndarray: Physical V/m envelopes, shape (n_nodes, n_pol, n_to).
assemblyEnvelopePlasmaAssembly: Compiled channels in population order.
initialstuple of float: Initial fractions at this position in channel order.
dtfloat: Fine time spacing in s.

Returns:

tuple of numpy.ndarray: Final fractions and peak cycle-averaged rates in s^-1, both shaped (n_channels, n_nodes). Every call scans the supplied field afresh.

solprop.backends.numpy_ref.envelope_plasma.envelope_sources(field_t, assembly, scalars, dt, window)[source]#

Form two windowed sources from independently recomputed channel populations.

Parameters:

field_tnumpy.ndarray: Physical complex V/m envelope, shape (n_nodes, n_pol, n_to).
assemblyEnvelopePlasmaAssembly: Labelled channels and validated cycle data.
scalarsStageScalars: Density and pre-ionisation at this RHS position in channel order.
dtfloat: Fine time spacing in s.
windownumpy.ndarray: Material-source collar, shape (n_to,).

Returns:

tuple of numpy.ndarray: Drude drive in A m^-2 s^-1 and loss current in A m^-2, each with the field’s shape. Projection and temporal FFT follow this function.