PLaSK User Manual

ThresholdSearch2D Class

class meta.shockley.ThresholdSearch2D(name='')

Solver for threshold search of semiconductor laser.

This solver performs thermo-electrical computations followed by determination ot threshold current and optical analysis in order to determine the threshold of a semiconductor laser. The search is performed by scipy root finding algorithm in order to determine the voltage and electric current ensuring no optical loss in the laser cavity.

The computations can be executed using compute method, after which the results may be save to the HDF5 file with save or presented visually using plot_... methods. If save parameter of the compute() method is True the fields are saved automatically after the computations. The file name is based on the name of the executed script with suffix denoting either the launch time or the identifier of a batch job if a batch system (like SLURM, OpenPBS, or SGE) is used.

Methods

compute([save, invalidate, group, stepsave]) Execute the algorithm.
compute_thermoelectric() Perform thermo-electric calculations.
get_gain_spectrum(lams[, pos, junction]) Get gain spectrum for specified junction.
get_junction_concentrations([interpolation]) Get carriers concentration at the active regions.
get_junction_currents([refine, interpolation]) Get current densities at the active regions.
get_junction_gains([axis, interpolation]) Get gain at the active regions.
get_lam()
get_nng() Get approximate effective index for optical computations.
get_optical_determinant(neff) Function computing determinant of the optical solver.
get_optical_field([resolution]) Get computed optical mode field at threshold.
get_optical_field_horizontal([resolution, …]) Get horizontal distribution of the computed optical mode field at threshold.
get_optical_field_vertical([pos, offset, …]) Plot vertical distribution of the computed optical mode field at threshold and refractive index profile.
get_temperature() Get temperature on a thermal mesh.
get_total_current([nact]) Get total current flowing through active region [mA]
get_vert_optical_determinant(vneff) Function computing ‘vertical determinant’ of the optical solver.
get_vertical_voltage([at]) Get computed voltage along the vertical axis.
get_voltage() Get voltage on an electrical mesh.
initialize() Initialize solver.
invalidate() Set the solver back to uninitialized state.
plot_gain_spectrum(lams[, pos, junction, comp]) Plot gain spectrum for specified junction.
plot_junction_concentration([bounds, …]) Plot carriers concentration at the active region.
plot_junction_current([refine, bounds, …]) Plot current density at the active region.
plot_junction_gain([axis, bounds, …]) Plot gain at the active region.
plot_optical_determinant(neffs, **kwargs) Function plotting determinant of the optical solver.
plot_optical_field([resolution, …]) Plot computed optical mode field at threshold.
plot_optical_field_horizontal([resolution, …]) Plot horizontal distribution of the computed optical mode field at threshold.
plot_optical_field_vertical([pos, offset, …]) Plot vertical distribution of the computed optical mode field at threshold and refractive index profile.
plot_temperature([geometry_color, …]) Plot computed temperature to the current axes.
plot_vert_optical_determinant(vneffs, **kwargs) Function plotting ‘vertical determinant’ of the optical solver.
plot_vertical_voltage([at]) Plot computed voltage along the vertical axis.
plot_voltage([geometry_color, mesh_color, …]) Plot computed voltage to the current axes.
reconnect() Reconnect all internal solvers.
save([filename, group, optical_resolution]) Save the computation results to the HDF5 file.
step(volt[, save]) Function performing one step of the threshold search.

Attributes

Providers

outCarriersConcentration Provider of the computed carriers concentration [1/cm³].
outConductivity Provider of the computed electrical conductivity [S/m].
outCurrentDensity Provider of the computed current density [kA/cm²].
outGain Provider of the computed material gain [1/cm].
outHeat Provider of the computed heat sources density [W/m³].
outHeatFlux Provider of the computed heat flux [W/m²].
outLightE Provider of the computed electric field [V/m].
outLightMagnitude Provider of the computed optical field magnitude [W/m²].
outLoss Provider of the computed modal extinction [1/cm].
outNeff Provider of the computed effective index [-].
outRefractiveIndex Provider of the computed refractive index [-].
outTemperature Provider of the computed temperature [K].
outThermalConductivity Provider of the computed thermal conductivity [W/(m×K)].
outVoltage Provider of the computed voltage [V].

Other

diffusion electrical.diffusion.Diffusion2D solver used for electrical calculations.
dneff Effective index step.
electrical electrical.shockley.Shockley2D solver used for electrical calculations.
gain gain.freecarrier.FreeCarrier2D solver used for gain calculations.
id Id of the solver object.
initialized True if the solver has been initialized.
maxiter Maximum number of root finding iterations.
mn Lateral mode number $n$.
optical optical.effective.EffectiveIndex2D solver used for optical calculations.
optical_resolution Number of points along the horizontal and vertical axes for the saved and plotted optical field.
quick
skip_thermal Skip thermal computations.
tfreq Number of electrical iterations per single thermal step.
thermal thermal.static.Static2D solver used for thermal calculations.
vmax Maximum voltage to search threshold for.
vmin Minimum voltage to search threshold for.
vtol Tolerance on voltage in the root search.
wavelength Emission wavelength [nm].

Descriptions

Method Details

ThresholdSearch2D.compute(save=True, invalidate=False, group='ThresholdSearch', stepsave=False)

Execute the algorithm.

In the beginning the solvers are invalidated and next, the self- consistent loop of thermal, electrical, gain, and optical calculations are run within the root-finding algorithm until the mode is found with zero optical losses.

Parameters:
  • save (bool or str) – If True the computed fields are saved to the HDF5 file named after the script name with the suffix denoting either the batch job id or the current time if no batch system is used. The filename can be overridden by setting this parameter as a string.
  • invalidate (bool) – If this flag is set, solvers are invalidated in the beginning of the computations.
  • group (str) – HDF5 group to save the data under.
  • stepsave (bool) – If True the computed fields are saved to the HDF5 file after each computations step.
Returns:

The voltage set to ivolt boundary condition for the threshold. The threshold current can be then obtained by calling:

>>> solver.get_total_current()
123.0

ThresholdSearch2D.compute_thermoelectric()

Perform thermo-electric calculations.

This method may be called manually to perform thermo-electric calculations. Afterwards, one may investigate gain spectrum or verify settings of the optical solver.

ThresholdSearch2D.get_gain_spectrum(lams, pos=0.0, junction=0)

Get gain spectrum for specified junction.

Parameters:
  • lams (array of floats) – Wavelengths for which the spectrum should be plotted.
  • pos (float) – Lateral position fo the point in which the spectrum is plotted.
  • junction (int) – Junction number to take gain from.
Returns:

Gain spectrum.

Return type:

Data

ThresholdSearch2D.get_junction_concentrations(interpolation='linear')

Get carriers concentration at the active regions.

Parameters:interpolation (str) – Interpolation used when retrieving current density.
Returns:
Dictionary of junction current density data.
Keys are the junction number.
Return type:dict
ThresholdSearch2D.get_junction_currents(refine=16, interpolation='linear')

Get current densities at the active regions.

Parameters:
  • refine (int) – Number of points in the plot between each two points in the computational mesh.
  • interpolation (str) – Interpolation used when retrieving current density.
Returns:

Dictionary of junction current density data.

Keys are the junction number.

Return type:

dict

ThresholdSearch2D.get_junction_gains(axis=None, interpolation='linear')

Get gain at the active regions.

Parameters:axis – Points along horizontal axis to plot gain at. Defaults to the optical mesh.
Returns:
Dictionary of junction current density data.
Keys are the junction number.
Return type:dict
ThresholdSearch2D.get_lam()
ThresholdSearch2D.get_nng()

Get approximate effective index for optical computations.

This method returns approximate wavelength for optical computations. By default if browses the wavelength range starting from maxneff, decreasing it by dneff until lateral mode mn is found.

You can override this method to use custom mode approximation.

Example

>>> solver = ThresholdSearch2D()
>>> solver.get_nng = lambda: 3.5
>>> solver.compute()
ThresholdSearch2D.get_optical_determinant(neff)

Function computing determinant of the optical solver.

Parameters:neff (float or array) – Effective index to compute the determinant for.
Returns:Optical determinant.
Return type:float or array
ThresholdSearch2D.get_optical_field(resolution=None)

Get computed optical mode field at threshold.

Parameters:resolution (tuple of ints) – Number of points in horizontal and vertical directions.
ThresholdSearch2D.get_optical_field_horizontal(resolution=None, interpolation='linear')

Get horizontal distribution of the computed optical mode field at threshold.

Parameters:
  • resolution (int) – Number of points in horizontal direction.
  • interpolation (str) – Interpolation used when retrieving current density.
ThresholdSearch2D.get_optical_field_vertical(pos=0.01, offset=0.5, resolution=None, interpolation='linear')

Plot vertical distribution of the computed optical mode field at threshold and refractive index profile.

Parameters:
  • resolution (int) – Number of points in horizontal direction.
  • pos (float) – Horizontal position to get the field at.
  • offset (float) – Distance above and below geometry boundary to include into the plot.
  • interpolation (str) – Interpolation used when retrieving current density.
ThresholdSearch2D.get_temperature()

Get temperature on a thermal mesh.

ThresholdSearch2D.get_total_current(nact=0)

Get total current flowing through active region [mA]

ThresholdSearch2D.get_vert_optical_determinant(vneff)

Function computing ‘vertical determinant’ of the optical solver.

Parameters:vneff (float or array) – Effective index to compute the vertical determinant for.
Returns:Optical determinant.
Return type:float or array
ThresholdSearch2D.get_vertical_voltage(at=0)

Get computed voltage along the vertical axis.

Parameters:at (float) – Horizontal position of the axis at which the voltage is plotted.
ThresholdSearch2D.get_voltage()

Get voltage on an electrical mesh.

ThresholdSearch2D.initialize()

Initialize solver.

This method manually initialized the solver and sets initialized to True. Normally calling it is not necessary, as each solver automatically initializes itself when needed.

Returns:solver initialized state prior to this method call.
Return type:bool
ThresholdSearch2D.invalidate()

Set the solver back to uninitialized state.

This method frees the memory allocated by the solver and sets initialized to False.

ThresholdSearch2D.plot_gain_spectrum(lams, pos=0.0, junction=0, comp=None, **kwargs)

Plot gain spectrum for specified junction.

Parameters:
  • lams (array of floats) – Wavelengths for which the spectrum should be plotted.
  • pos (float) – Lateral position fo the point in which the spectrum is plotted.
  • junction (int) – Junction number to take gain from.
  • comp (int or str) – Spectrum component to plot
  • **kwargs – Keyword arguments passed to the plot function.
ThresholdSearch2D.plot_junction_concentration(bounds=True, interpolation='linear', label=None, **kwargs)

Plot carriers concentration at the active region.

Parameters:
  • bounds (bool) – If True then the geometry objects boundaries are plotted.
  • interpolation (str) – Interpolation used when retrieving current density.
  • label (str or sequence) – Label for each junction. It can be a sequence of consecutive labels for each junction, or a string in which case the same label is used for each junction. If omitted automatic label is generated.
  • **kwargs – Keyword arguments passed to the plot function.
ThresholdSearch2D.plot_junction_current(refine=16, bounds=True, interpolation='linear', label=None, **kwargs)

Plot current density at the active region.

Parameters:
  • refine (int) – Number of points in the plot between each two points in the computational mesh.
  • bounds (bool) – If True then the geometry objects boundaries are plotted.
  • interpolation (str) – Interpolation used when retrieving current density.
  • label (str or sequence) – Label for each junction. It can be a sequence of consecutive labels for each junction, or a string in which case the same label is used for each junction. If omitted automatic label is generated.
  • **kwargs – Keyword arguments passed to the plot function.
ThresholdSearch2D.plot_junction_gain(axis=None, bounds=True, interpolation='linear', label=None, **kwargs)

Plot gain at the active region.

Parameters:
  • axis (mesh or sequence) – Points along horizontal axis to plot gain at. Defaults to the optical mesh.
  • bounds (bool) – If True then the geometry objects boundaries are plotted.
  • interpolation (str) – Interpolation used when retrieving current density.
  • label (str or sequence) – Label for each junction. It can be a sequence of consecutive labels for each junction, or a string in which case the same label is used for each junction. If omitted automatic label is generated.
  • **kwargs – Keyword arguments passed to the plot function.
ThresholdSearch2D.plot_optical_determinant(neffs, **kwargs)

Function plotting determinant of the optical solver.

Parameters:
  • neffs (array) – Array of effective indices to plot the determinant for.
  • **kwargs – Keyword arguments passed to the plot function.
ThresholdSearch2D.plot_optical_field(resolution=None, geometry_color='0.75', geometry_alpha=0.35, geometry_lw=1.0, **kwargs)

Plot computed optical mode field at threshold.

Parameters:
  • resolution (tuple of ints) – Number of points in horizontal and vertical directions.
  • geometry_color (str or None) – Matplotlib color specification for the geometry. If None, structure is not plotted.
  • geometry_alpha (float) – Geometry opacity (1 — fully opaque, 0 – invisible).
  • geometry_lw (float) – Line width for geometry.
  • **kwargs – Keyword arguments passed to the plot function.
ThresholdSearch2D.plot_optical_field_horizontal(resolution=None, bounds=True, interpolation='linear', **kwargs)

Plot horizontal distribution of the computed optical mode field at threshold.

Parameters:
  • resolution (int) – Number of points in horizontal direction.
  • bounds (bool) – If True then the geometry objects boundaries are plotted.
  • interpolation (str) – Interpolation used when retrieving current density.
  • **kwargs – Keyword arguments passed to the plot function.
ThresholdSearch2D.plot_optical_field_vertical(pos=0.01, offset=0.5, resolution=None, interpolation='linear', **kwargs)

Plot vertical distribution of the computed optical mode field at threshold and refractive index profile.

Parameters:
  • resolution (int) – Number of points in horizontal direction.
  • pos (float) – Horizontal position to get the field at.
  • offset (float) – Distance above and below geometry boundary to include into the plot.
  • interpolation (str) – Interpolation used when retrieving current density.
  • **kwargs – Keyword arguments passed to the plot function.
ThresholdSearch2D.plot_temperature(geometry_color='0.75', mesh_color=None, geometry_alpha=0.35, mesh_alpha=0.15, geometry_lw=1.0, mesh_lw=1.0, **kwargs)

Plot computed temperature to the current axes.

Parameters:
  • geometry_color (str or None) – Matplotlib color specification for the geometry. If None, structure is not plotted.
  • mesh_color (str or None) – Matplotlib color specification for the mesh. If None, the mesh is not plotted.
  • geometry_alpha (float) – Geometry opacity (1 — fully opaque, 0 – invisible).
  • mesh_alpha (float) – Mesh opacity (1 — fully opaque, 0 – invisible).
  • geometry_lw (float) – Line width for geometry.
  • mesh_lw (float) – Line width for mesh.
  • **kwargs – Keyword arguments passed to the plot function.

See also

plask.plot_field() : Plot any field obtained from receivers

ThresholdSearch2D.plot_vert_optical_determinant(vneffs, **kwargs)

Function plotting ‘vertical determinant’ of the optical solver.

Parameters:
  • vneffs (array) – Array of effective indices to plot the vertical determinant for.
  • **kwargs – Keyword arguments passed to the plot function.
ThresholdSearch2D.plot_vertical_voltage(at=0.0, **kwargs)

Plot computed voltage along the vertical axis.

Parameters:
  • at (float) – Horizontal position of the axis at which the voltage is plotted.
  • **kwargs – Keyword arguments passed to the plot function.
ThresholdSearch2D.plot_voltage(geometry_color='0.75', mesh_color=None, geometry_alpha=0.35, mesh_alpha=0.15, geometry_lw=1.0, mesh_lw=1.0, **kwargs)

Plot computed voltage to the current axes.

Parameters:
  • geometry_color (str or None) – Matplotlib color specification for the geometry. If None, structure is not plotted.
  • mesh_color (str or None) – Matplotlib color specification for the mesh. If None, the mesh is not plotted.
  • geometry_alpha (float) – Geometry opacity (1 — fully opaque, 0 – invisible).
  • mesh_alpha (float) – Mesh opacity (1 — fully opaque, 0 – invisible).
  • geometry_lw (float) – Line width for geometry.
  • mesh_lw (float) – Line width for mesh.
  • **kwargs – Keyword arguments passed to the plask.plot_field().

See also

plask.plot_field() : Plot any field obtained from receivers

ThresholdSearch2D.reconnect()

Reconnect all internal solvers.

This method should be called if some of the internal solvers were changed manually.

ThresholdSearch2D.save(filename=None, group='ThresholdSearch', optical_resolution=None)

Save the computation results to the HDF5 file.

Parameters:
  • filename (str) – The file name to save to. If omitted, the file name is generated automatically based on the script name with suffix denoting either the batch job id or the current time if no batch system is used.
  • group (str) – HDF5 group to save the data under.
  • optical_resolution (tuple of ints) – Number of points in horizontal and vertical directions for optical field.
ThresholdSearch2D.step(volt, save=False)

Function performing one step of the threshold search.

Parameters:
  • volt (float) – Voltage on a specified boundary condition [V].
  • save (bool) – If True the computed fields are saved to the HDF5 file after each computations step.
Returns:

Loss of a specified mode

Return type:

float

Provider Details

ThresholdSearch2D.outCarriersConcentration(n=0, mesh, interpolation='default')

Provider of the computed carriers concentration [1/cm³].

Parameters:
  • type (str) – Detailed information which carriers are returned. It can be ‘majority’ to return majority carriers in given material, ‘pairs’ for the concentration of electron-hole pairs, ‘electrons’, or ‘holes’ for particular carriers type.
  • mesh (mesh) – Target mesh to get the field at.
  • interpolation (str) – Requested interpolation method.
Returns:

Data with the carriers concentration on the specified mesh [1/cm³].

You may obtain the number of different values this provider can return by testing its length.

Example

Connect the provider to a receiver in some other solver:

>>> other_solver.inCarriersConcentration = solver.outCarriersConcentration

Obtain the provided field:

>>> solver.outCarriersConcentration(0, mesh)
<plask.Data at 0x1234567>

Test the number of provided values:

>>> len(solver.outCarriersConcentration)
3
ThresholdSearch2D.outConductivity(mesh, interpolation='default')

Provider of the computed electrical conductivity [S/m].

Parameters:
  • mesh (mesh) – Target mesh to get the field at.
  • interpolation (str) – Requested interpolation method.
Returns:

Data with the electrical conductivity on the specified mesh [S/m].

Example

Connect the provider to a receiver in some other solver:

>>> other_solver.inConductivity = solver.outConductivity

Obtain the provided field:

>>> solver.outConductivity(mesh)
<plask.Data at 0x1234567>

See also

Provider class: plask.flow.ConductivityProvider2D

Receciver class: plask.flow.ConductivityReceiver2D

ThresholdSearch2D.outCurrentDensity(mesh, interpolation='default')

Provider of the computed current density [kA/cm²].

Parameters:
  • mesh (mesh) – Target mesh to get the field at.
  • interpolation (str) – Requested interpolation method.
Returns:

Data with the current density on the specified mesh [kA/cm²].

Example

Connect the provider to a receiver in some other solver:

>>> other_solver.inCurrentDensity = solver.outCurrentDensity

Obtain the provided field:

>>> solver.outCurrentDensity(mesh)
<plask.Data at 0x1234567>
ThresholdSearch2D.outGain(n=0, mesh, wavelength, interpolation='default')

Provider of the computed material gain [1/cm].

Parameters:
  • deriv (str) – Gain derivative to return. can be ‘’ (empty) or ‘conc’. In the latter case, the gain derivative over carriers concentration is returned.
  • mesh (mesh) – Target mesh to get the field at.
  • interpolation (str) – Requested interpolation method.
  • wavelength (float) – The wavelength at which the gain is computed [nm].
Returns:

Data with the material gain on the specified mesh [1/cm].

You may obtain the number of different values this provider can return by testing its length.

Example

Connect the provider to a receiver in some other solver:

>>> other_solver.inGain = solver.outGain

Obtain the provided field:

>>> solver.outGain(0, mesh, wavelength)
<plask.Data at 0x1234567>

Test the number of provided values:

>>> len(solver.outGain)
3

See also

Provider class: plask.flow.GainProvider2D

Receciver class: plask.flow.GainReceiver2D

ThresholdSearch2D.outHeat(mesh, interpolation='default')

Provider of the computed heat sources density [W/m³].

Parameters:
  • mesh (mesh) – Target mesh to get the field at.
  • interpolation (str) – Requested interpolation method.
Returns:

Data with the heat sources density on the specified mesh [W/m³].

Example

Connect the provider to a receiver in some other solver:

>>> other_solver.inHeat = solver.outHeat

Obtain the provided field:

>>> solver.outHeat(mesh)
<plask.Data at 0x1234567>

See also

Provider class: plask.flow.HeatProvider2D

Receciver class: plask.flow.HeatReceiver2D

ThresholdSearch2D.outHeatFlux(mesh, interpolation='default')

Provider of the computed heat flux [W/m²].

Parameters:
  • mesh (mesh) – Target mesh to get the field at.
  • interpolation (str) – Requested interpolation method.
Returns:

Data with the heat flux on the specified mesh [W/m²].

Example

Connect the provider to a receiver in some other solver:

>>> other_solver.inHeatFlux = solver.outHeatFlux

Obtain the provided field:

>>> solver.outHeatFlux(mesh)
<plask.Data at 0x1234567>

See also

Provider class: plask.flow.HeatFluxProvider2D

Receciver class: plask.flow.HeatFluxReceiver2D

ThresholdSearch2D.outLightE(n=0, mesh, interpolation='default')

Provider of the computed electric field [V/m].

Parameters:
  • n (int) – Value number.
  • mesh (mesh) – Target mesh to get the field at.
  • interpolation (str) – Requested interpolation method.
Returns:

Data with the electric field on the specified mesh [V/m].

You may obtain the number of different values this provider can return by testing its length.

Example

Connect the provider to a receiver in some other solver:

>>> other_solver.inLightE = solver.outLightE

Obtain the provided field:

>>> solver.outLightE(0, mesh)
<plask.Data at 0x1234567>

Test the number of provided values:

>>> len(solver.outLightE)
3

See also

Provider class: plask.flow.LightEProvider2D

Receciver class: plask.flow.LightEReceiver2D

ThresholdSearch2D.outLightMagnitude(n=0, mesh, interpolation='default')

Provider of the computed optical field magnitude [W/m²].

Parameters:
  • n (int) – Computed mode number.
  • mesh (mesh) – Target mesh to get the field at.
  • interpolation (str) – Requested interpolation method.
Returns:

Data with the optical field magnitude on the specified mesh [W/m²].

You may obtain the number of different values this provider can return by testing its length.

Example

Connect the provider to a receiver in some other solver:

>>> other_solver.inLightMagnitude = solver.outLightMagnitude

Obtain the provided field:

>>> solver.outLightMagnitude(0, mesh)
<plask.Data at 0x1234567>

Test the number of provided values:

>>> len(solver.outLightMagnitude)
3
ThresholdSearch2D.outLoss(n=0)

Provider of the computed modal extinction [1/cm].

Parameters:n (int) – Value number.
Returns:Value of the modal extinction [1/cm].

You may obtain the number of different values this provider can return by testing its length.

Example

Connect the provider to a receiver in some other solver:

>>> other_solver.inModalLoss = solver.outLoss

Obtain the provided value:

>>> solver.outLoss(n=0)
1000

Test the number of provided values:

>>> len(solver.outLoss)
3

See also

Provider class: plask.flow.ModalLossProvider

Receciver class: plask.flow.ModalLossReceiver

ThresholdSearch2D.outNeff(n=0)

Provider of the computed effective index [-].

Parameters:n (int) – Value number.
Returns:Value of the effective index [-].

You may obtain the number of different values this provider can return by testing its length.

Example

Connect the provider to a receiver in some other solver:

>>> other_solver.inEffectiveIndex = solver.outNeff

Obtain the provided value:

>>> solver.outNeff(n=0)
1000

Test the number of provided values:

>>> len(solver.outNeff)
3

See also

Provider class: plask.flow.EffectiveIndexProvider

Receciver class: plask.flow.EffectiveIndexReceiver

ThresholdSearch2D.outRefractiveIndex(mesh, interpolation='default')

Provider of the computed refractive index [-].

Parameters:
  • mesh (mesh) – Target mesh to get the field at.
  • interpolation (str) – Requested interpolation method.
Returns:

Data with the refractive index on the specified mesh [-].

Example

Connect the provider to a receiver in some other solver:

>>> other_solver.inRefractiveIndex = solver.outRefractiveIndex

Obtain the provided field:

>>> solver.outRefractiveIndex(mesh)
<plask.Data at 0x1234567>
ThresholdSearch2D.outTemperature(mesh, interpolation='default')

Provider of the computed temperature [K].

Parameters:
  • mesh (mesh) – Target mesh to get the field at.
  • interpolation (str) – Requested interpolation method.
Returns:

Data with the temperature on the specified mesh [K].

Example

Connect the provider to a receiver in some other solver:

>>> other_solver.inTemperature = solver.outTemperature

Obtain the provided field:

>>> solver.outTemperature(mesh)
<plask.Data at 0x1234567>

See also

Provider class: plask.flow.TemperatureProvider2D

Receciver class: plask.flow.TemperatureReceiver2D

ThresholdSearch2D.outThermalConductivity(mesh, interpolation='default')

Provider of the computed thermal conductivity [W/(m×K)].

Parameters:
  • mesh (mesh) – Target mesh to get the field at.
  • interpolation (str) – Requested interpolation method.
Returns:

Data with the thermal conductivity on the specified mesh [W/(m×K)].

Example

Connect the provider to a receiver in some other solver:

>>> other_solver.inThermalConductivity = solver.outThermalConductivity

Obtain the provided field:

>>> solver.outThermalConductivity(mesh)
<plask.Data at 0x1234567>
ThresholdSearch2D.outVoltage(mesh, interpolation='default')

Provider of the computed voltage [V].

Parameters:
  • mesh (mesh) – Target mesh to get the field at.
  • interpolation (str) – Requested interpolation method.
Returns:

Data with the voltage on the specified mesh [V].

Example

Connect the provider to a receiver in some other solver:

>>> other_solver.inVoltage = solver.outVoltage

Obtain the provided field:

>>> solver.outVoltage(mesh)
<plask.Data at 0x1234567>

See also

Provider class: plask.flow.VoltageProvider2D

Receciver class: plask.flow.VoltageReceiver2D

Attribute Details

ThresholdSearch2D.diffusion = Diffusion2D()

electrical.diffusion.Diffusion2D solver used for electrical calculations.

ThresholdSearch2D.dneff = 0.02

Effective index step.

Step, by which the effective index is swept while searching for the approximate mode.

ThresholdSearch2D.electrical = Shockley2D()

electrical.shockley.Shockley2D solver used for electrical calculations.

ThresholdSearch2D.gain = FreeCarrier2D()

gain.freecarrier.FreeCarrier2D solver used for gain calculations.

ThresholdSearch2D.id

Id of the solver object. (read only)

Example

>>> mysolver.id
mysolver:category.type
ThresholdSearch2D.initialized

True if the solver has been initialized. (read only)

Solvers usually get initialized at the beginning of the computations. You can clean the initialization state and free the memory by calling the invalidate() method.

ThresholdSearch2D.maxiter = 50

Maximum number of root finding iterations.

ThresholdSearch2D.mn = 1

Lateral mode number $n$.

ThresholdSearch2D.optical = EffectiveIndex2D()

optical.effective.EffectiveIndex2D solver used for optical calculations.

ThresholdSearch2D.optical_resolution = (800, 600)

Number of points along the horizontal and vertical axes for the saved and plotted optical field.

ThresholdSearch2D.quick = False
ThresholdSearch2D.skip_thermal = False

Skip thermal computations.

The structure is assumed to have a constant temperature. This can be used to look for the threshold under pulse laser operation.

ThresholdSearch2D.tfreq = 6.0

Number of electrical iterations per single thermal step.

As temperature tends to converge faster, it is reasonable to repeat thermal solution less frequently.

ThresholdSearch2D.thermal = Static2D()

thermal.static.Static2D solver used for thermal calculations.

ThresholdSearch2D.vmax = None

Maximum voltage to search threshold for.

It should be above the threshold.

ThresholdSearch2D.vmin = None

Minimum voltage to search threshold for.

It should be below the threshold.

ThresholdSearch2D.vtol = 1e-05

Tolerance on voltage in the root search.

ThresholdSearch2D.wavelength = None

Emission wavelength [nm].