SLiCAPshell.py

This module creates a shell around basic SLiCAP instructions. This yields a strongly simplified and reduced set of SLiCAP user commands.

General instruction format

result = do<Instruction>(cir, transfer=None, source=’circuit’, detector=’circuit’, lgref=’circuit’, convtype=None, pardefs=None, numeric=False, stepdict=None),

where <Instruction> describes the analysis to be performed. Below an overview of instructions that have been implemented in SLiCAP.

  1. Network equations:

    • doMatrix() : matrix equation of the circuit

  2. Complex frequency domain (Laplace) analysis:

    • doLaplace_vi() : Laplace Transform of the detector voltage or current

    • doLaplace() : transfer function (Laplace expression)

    • doNumer() : numerator of a transfer function

    • doDenom() : denominator of a transfer function

    • doSolve() : Laplace Transform of the network solution

  3. Complex frequency domain analysis: Poles and zeros of transfer functions:

    • doPoles() : poles of a transfer, including non-controllable and non-observable (complex frequency solutions of Denom)

    • doZeros() : zeros of a transfer (complex frequency solutions of Numer)

    • doPZ() : DC value, poles and zeros of a transfer (with pole-zero canceling)

  4. Noise analysis:

    • doNoise() : spectral densities of detector and source-referred noise

  5. Time domain analysis, based on the Inverse Laplace Transform:

    • doTime() : detector voltage or current

    • doImpulse() : unit-impulse response of a transfer

    • doStep() : unit-step response of a transfer

    • doTimeSolve() : Time-domain solution of a network

  6. DC (zero-frequency) analysis:

    • doDC_vi() : DC detector voltage or current

    • doDC() : Zero-frequency value of a transfer

    • doDCsolve() : DC network solution

    • doDCvar() : detector-referred and source-referred DC variance

  7. Parametric sweep

    • doParams() : Parametric sweep, used for plots only.

Some analysis types require definitions of a signal source, a signal detector, and/or a loop gain reference. Souce, detector and loop gain reference are specified with the circuit.

  • A detector specification is NOT required for the instructions:

    • doMatrix()

    • doDenom()

    • doPoles()

    • doSolve()

    • doDCsolve()

    • doTimeSolve()

    AND for transfer types:

    • loopgain

    • servo

    In all other cases a definition of a detector is required.

  • A source specification is required for transfers: ‘gain’, ‘direct’, and ‘asymptotic’.

    If a source definition is given, instructions ‘doNoise()’ and ‘doDCvar()’ also return the source-referred noise and source referred DC variance, respectively.

  • A loop gain reference specification is required for the transfers: ‘ asymptotic’, direct’, ‘loopgain’, and ‘servo’.

param cir:

Circuit object that will be used for the analysis. The signal source, the signal detector, the loop gain reference, and definitions of circuit parameters are attributes the circuit.

type circuit:

SLiCAPprotos.circuit() object

param source:

  • ‘circuit’: signal source as defined in the netlist

  • str: name (refDes) of independent source

  • list: list with two names of independent sources

param detector:

  • ‘circuit’: signal detector as defined in the netlist

  • str: name a dependent variable

  • list: list with two names of dependent variables

param lgref:

  • ‘circuit’: loop gain reference as defined in the netlist

  • str: name a controlled source

  • list: list with two names of controlled sources

param transfer:

  • None: calculation of detector voltage or current

  • ‘gain’: calculation of complex ratio of detector voltage/current and source voltage/current

  • ‘asymptotic’: as gain with loop gain reference replace with a nullor

  • ‘loopgain’: gain enclosed in the loop involving the loop gain reference

  • ‘servo’ :-L/(1-L), where L is the loop gain

  • ‘direct’: as gain with the transfer of the loop gain reference set to zero

Defaults to ‘gain’.

In some analysis types the transfer value is ignored and considered None

type transfer:

  • NoneType, str

param convType:

  • None: No matrix conversion takes place

  • ‘all’: Dependent variables and independent variables will be grouped in differential-mode and common-mode variables. The circuit matrix dimension is not changed.

  • ‘dd’: After grouping of the vaiables in differential-mode and common-mode variables, only the differential-mode variables of both dependent and independent variables are considered.

    The matrix equation describes the differential- mode behavior of the circuit.

  • ‘cc’: After grouping of the vaiables in differential-mode and common-mode variables, only the common-mode variables of both dependent and independent variables are considered.

    The matrix equation describes the common-mode behavior of the circuit.

  • ‘dc’: After grouping of the vaiables in differential-mode and common-mode variables, only the differential-mode dependent variables and the common-mode independent variables are considered.

    The matrix equation describes the common-mode to differential-mode conversion of the circuit.

  • ‘cd’: After grouping of the vaiables in differential-mode and common-mode variables, only the common-mode dependent variables and the differential-mode independent ariables are c onsidered.

    The matrix equation describes the differential-mode to common-mode conversion of the circuit.

Defaults to None

type convType:

str

param pardefs:

  1. None:

    Analysis is performed with circuit element values or expressions.

  2. ‘circuit’:

    Analysis is performed with circuit element values or expressions in which parameters defined with the circuit are recursively substituted.

  3. A dictionary with key-value pairs:

    • key = parameter name (sympy.Symbol),

    • value = parameter expression (sympy.Expr) or a numeric value (int, float).

    Analysis is performed with circuit element values or expressions in which parameters defined in the dictionary are recursively substituted.

Defaults to None

type pardefs:

NoneType, str or dict

param numeric:

  1. True: results will be returned in float format with pi substituted with its numeric value and numerically evaluated functions.

  2. False: results will be returned with rational numbers and without numeric evaluation of functions or constants.

Defaults to False

type numeric:

Bool

param stepdict:

Parameter stepping is implemented for plotting. <stepdict> defines if stepping will be applied.

  1. None: no parameter(s) will be stepped.

  2. A dictionary with key-value pairs of stepping parameters: this will invoke parameter stepping. Keys and possible associated values are given below.

  • stepmethod (str); ‘lin’, ‘log’, ‘list’, ‘array’

  • params : (str, sympy.Symbol) for stepmethod: lin’, ‘log’, and ‘list’ (list of str or sympy.Symbol) for stepmethod: ‘array’

  • start : (float, int, str): start value for linear and log stepping

  • stop : (float, int, str): stop value for lin and log stepping

  • num : (int), number of steps for lin and log stepping

  • values : (list of int, float, or str) step values for stepmethod: ‘list’ (list of lists of int, float, or str) step values for stepmethod: ‘array’

doDC(cir, source='circuit', detector='circuit', lgref='circuit', transfer='gain', convtype=None, pardefs=None, numeric=False, stepdict=None)

Returns the zero-frequency value (DC value) of a transfer or a detector voltge or current.

Returns:

SLiCAP results object of which the following attributes with be set as a result of this instruction:

Return type:

SLiCAP.SLiCAPprotos.allResults object

Return value attributes

  • doDC(<circuit>).M: MNA matrix (sympy.Matrix)

  • doDC(<circuit>.Iv: Vector with independent variables (sympy.Matrix)

  • doDC(<circuit>).Dv: Vector with dependent variables (sympy.Matrix)

  • doDC(<circuit>).numer: Numerator of the DC voltage transfer from V1 to V_out (sympy.Expr)

  • doDC<circuit>).denom: Denominator of the DC voltage transfer from V1 to V_out (sympy.Expr)

  • doDC(<circuit>).laplace: DC voltage transfer from V1 to V_out (sympy.Expr)

If parameter stepping is applied, all above attributes are lists of values or expressions for each step.

Parameters

See section General instruction format.

Example

import SLiCAP as sl
sl.initProject("My First RC Network")
# Generate the circuit object from the netlist
cir = sl.makeCircuit("myFirstRCnetwork.cir")
# Obtain the DC voltage transfer from V1 to V_out:
V_DCgain = sl.doDC(cir).laplace
doDCsolve(cir, source=None, detector=None, lgref=None, transfer=None, convtype=None, pardefs=None, numeric=False, stepdict=None)

Returns the DC solution of the circuit.

The dc values of all independent sources are taken as input signals.

The arguments for source, detector, lgref and transfer will be ignored and considered: None.

Returns:

SLiCAP results object of which the following attributes with be set as a result of this instruction:

Return type:

SLiCAP.SLiCAPprotos.allResults object

Return value attributes

  • doDCSolve(<circuit>).M: MNA matrix (sympy.Matrix)

  • doDCSolve(<circuit>.Iv: Vector with independent variables (sympy.Matrix)

  • doDCSolve(<circuit>).Dv: Vector with dependent variables (sympy.Matrix)

  • doDCSolve(<circuit>).dcSolve: Vector with DC solutions of dependent variables (sympy.Matrix)

If parameter stepping is applied, all above attributes are lists of values or expressions for each step.

Parameters

See section General instruction format.

Example

import SLiCAP as sl
sl.initProject("My First RC Network")
# Generate the circuit object from the netlist
cir = sl.makeCircuit("myFirstRCnetwork.cir")
# Obtain the DC network solution:
DCsolution = sl.doDCsolve(cir).DCsolve
doDCvar(cir, source='circuit', detector='circuit', lgref='circuit', transfer=None, convtype=None, pardefs=None, numeric=False, stepdict=None)

Evaluates the variance of the detector DC voltage or current and the individual contributions of all noise sources to it.

If a signal source is specified, it also calculates the source-referred DC variance and the individual contributions of all DC sources and resistors to it.

The DC variance of all independent sources and resistors are taken as inputs. Correlation can be accounted for using matching and tracking specifications.

The arguments for lgref and transfer will be ignored and considered: None.

Returns:

SLiCAP results object of which the following attributes with be set as a result of this instruction:

Return type:

SLiCAP.SLiCAPprotos.allResults object

Return value attributes

  • doDCvar(<circuit>).M: MNA matrix (sympy.Matrix)

  • doDCvar(<circuit>).Iv: Vector with independent variables (sympy.Matrix)

  • doDCvar(<circuit>).Dv: Vector with dependent variables (sympy.Matrix)

  • doDCvar(<circuit>).ovar: detector-referred DC variance in V^2 or A^2 (sympy.Expr)

  • doDCvar(<circuit>).ovarTerms: dictionary with key-value pairs:

    • key (str): name of the variance source, the variance of the current associated with a resistor ‘Rx’ is referred to as ‘I_dcvar_Rx’

    • value (sympy.Expr): contribution of this source to the detector- referred variance in V^2 or A^2

  • doDCvar(<circuit>).ivar: source-referred DC variance in V^2 or A^2 (sympy.Expr)

  • doDCvar(<circuit>).inoiseTerms: dictionary with key-value pairs:

    • key (str): name of the variance source, the variance of the current associated with a resistor ‘Rx’ is referred to as ‘I_dcvar_Rx’

    • value (sympy.Expr): contribution of this source to the source- referred variance in V^2 or A^2

If parameter stepping is applied, all above attributes are lists of values or expressions for each step.

Parameters

See section General instruction format.

doDenom(cir, source='circuit', detector='circuit', lgref='circuit', transfer='gain', convtype=None, pardefs=None, numeric=False, stepdict=None)

Returns the denominator of a transfer or a detector voltage or current.

Returns:

SLiCAP results object of which the following attributes with be set as a result of this instruction:

Return type:

SLiCAP.SLiCAPprotos.allResults object

Return value attributes

  • doLaplace(<circuit>).M: MNA matrix (sympy.Matrix)

  • doLaplace(<circuit>).Dv: Vector with dependent variables (sympy.Matrix)

  • doLaplace(<circuit>).denom: Denominator of the voltage transfer from V1 to V_out (sympy.Expr)

If parameter stepping is applied, all above attributes are lists of values or expressions for each step.

Parameters

See section General instruction format.

Example

import SLiCAP as sl
sl.initProject("My First RC Network")
# Generate the circuit object from the netlist
cir = sl.makeCircuit("myFirstRCnetwork.cir")
# Obtain the numerator od the voltage transfer from V1 to V_out:
V_gain = sl.doNumer(cir).laplace
doImpulse(cir, source='circuit', detector='circuit', lgref='circuit', transfer='gain', convtype=None, pardefs=None, numeric=False, stepdict=None)

Returns the unit-impulse response of a transfer (ILT of a transfer function). The argument ‘transfer’ will be set to gain if None is given.

Returns:

SLiCAP results object of which the following attributes with be set as a result of this instruction:

Return type:

SLiCAP.SLiCAPprotos.allResults object

Return value attributes

  • doImpulse(<circuit>).M: MNA matrix (sympy.Matrix)

  • doImpulse(<circuit>.Iv: Vector with independent variables (sympy.Matrix)

  • doImpulse(<circuit>).Dv: Vector with dependent variables (sympy.Matrix)

  • doImpulse(<circuit>).numer: Numerator of the voltage transfer from V1 to V_out (sympy.Expr)

  • doImpulse(<circuit>).denom: Denominator of the voltage transfer from V1 to V_out (sympy.Expr)

  • doImpulse(<circuit>).laplace: Voltage transfer from V1 to V_out (sympy.Expr)

  • doImpulse(<circuit>).impulse: Unit-impulse response of the Voltage transfer from V1 to V_out (sympy.Expr)

If parameter stepping is applied, all above attributes are lists of values or expressions for each step.

Parameters

See section General instruction format.

Example

import SLiCAP as sl
sl.initProject("My First RC Network")
# Generate the circuit object from the netlist
cir = sl.makeCircuit("myFirstRCnetwork.cir")
# Obtain the unit impulse response of the transfer from V1 to V_out:
h_t = sl.doImpulse(cir).impulse
doLaplace(cir, source='circuit', detector='circuit', lgref='circuit', transfer='gain', convtype=None, pardefs=None, numeric=False, stepdict=None)

Returns a transfer function or a detector voltage or current.

Returns:

SLiCAP results object of which the following attributes with be set as a result of this instruction:

Return type:

SLiCAP.SLiCAPprotos.allResults object

Return value attributes

  • doLaplace(<circuit>).M: MNA matrix (sympy.Matrix)

  • doLaplace(<circuit>.Iv: Vector with independent variables (sympy.Matrix)

  • doLaplace(<circuit>).Dv: Vector with dependent variables (sympy.Matrix)

  • doLaplace(<circuit>).numer: Numerator of the voltage transfer from V1 to V_out (sympy.Expr)

  • doLaplace(<circuit>).denom: Denominator of the voltage transfer from V1 to V_out (sympy.Expr)

  • doLaplace(<circuit>).laplace: Voltage transfer from V1 to V_out (sympy.Expr)

If parameter stepping is applied, all above attributes are lists of values or expressions for each step.

Parameters

See section General instruction format.

Example

import SLiCAP as sl
sl.initProject("My First RC Network")
# Generate the circuit object from the netlist
cir = sl.makeCircuit("myFirstRCnetwork.cir")
# Obtain the voltage transfer from V1 to V_out:
V_gain = sl.doLaplace(cir).laplace
doMatrix(cir, source='circuit', detector='circuit', lgref='circuit', transfer=None, convtype=None, pardefs=None, numeric=False, stepdict=None)

Returns the MNA matrix, the vector with dependent variables and the vector with independent variables.

Returns:

SLiCAP results object of which the following attributes with be set as a result of this instruction:

Return type:

SLiCAP.SLiCAPprotos.allResults object

Return value attributes

  • doMatrix(<circuit>).M: MNA matrix (sympy.Matrix)

  • doMatrix(<circuit>.Iv: Vector with independent variables (sympy.Matrix)

  • doMatrix(<circuit>).Dv: Vector with dependent variables (sympy.Matrix)

Parameters

See section General instruction format.

Example

import SLiCAP as sl
sl.initProject("My First RC Network")
# Generate the circuit object from the netlist
cir = sl.makeCircuit("myFirstRCnetwork.cir")
# Obtain the matrix equation of the circuit
matrixResult = sl.doMatrix(cir)
# Create an HTML page for displaying the results
sl.htmlPage("Matrix equation")
sl.matrices2html(matrixResult)
# assign the MNA matris to the variable M
M  = matrixResult.M  
# assign the vector with independent variables to Iv
Iv = matrixResult.Iv
# assign the vector with dependent variables to Dv
Dv = matrixResult.Dv 
# Print the result of the matrix multiplication to the active HTML page
sl.eqn2html(Iv, M*Dv))
doNoise(cir, source='circuit', detector='circuit', lgref=None, transfer=None, convtype=None, pardefs=None, numeric=False, stepdict=None)

Evaluates the detector noise spectral density and the individual contributions of all noise sources to it.

If a signal source is specified, it also calculates the source-referred noise spectral density and the individual contributions of all noise sources to it.

The noise of all independent sources, the noise temperatures and the flicker noise corner frequencies of resistors are taken as inputs. All noise sources are assumed to be uncorrelated. Correlation can modeled with transfer functions (controlled sources).

The arguments for lgref and transfer will be ignored and considered: None.

Returns:

SLiCAP results object of which the following attributes with be set as a result of this instruction:

Return type:

SLiCAP.SLiCAPprotos.allResults object

Return value attributes

  • doNoise(<circuit>).M: MNA matrix (sympy.Matrix)

  • doNoise(<circuit>).Iv: Vector with independent variables (sympy.Matrix)

  • doNoise(<circuit>).Dv: Vector with dependent variables (sympy.Matrix)

  • doNoise(<circuit>).onoise: detector-referred noise spectrum in V^2/Hz or A^2/Hz (sympy.Expr)

  • doNoise(<circuit>).onoiseTerms: dictionary with key-value pairs:

    • key (str): name of the noise source, the noise source associated with a resistor ‘Rx’ is referred to as ‘I_noise_Rx’

    • value (sympy.Expr): contribution of this source to the detector- referred noise in V^2/Hz or A^2/Hz

  • doNoise(<circuit>).inoise: source-referred noise spectrum in V^2/Hz or A^2/Hz (sympy.Expr)

  • doNoise(<circuit>).inoiseTerms: dictionary with key-value pairs:

    • key (str): name of the noise source, the noise source associated with a resistor ‘Rx’ is referred to as ‘I_noise_Rx’

    • value (sympy.Expr): contribution of this source to the source-referred noise in V^2/Hz or A^2/Hz

If parameter stepping is applied, all above attributes are lists of values or expressions for each step.

Parameters

See section General instruction format.

doNumer(cir, source='circuit', detector='circuit', lgref='circuit', transfer='gain', convtype=None, pardefs=None, numeric=False, stepdict=None)

Returns the numerator of a transfer or of a detector voltage or current.

Returns:

SLiCAP results object of which the following attributes with be set as a result of this instruction:

Return type:

SLiCAP.SLiCAPprotos.allResults object

Return value attributes

  • doLaplace(<circuit>).M: MNA matrix (sympy.Matrix)

  • doLaplace(<circuit>.Iv: Vector with independent variables (sympy.Matrix)

  • doLaplace(<circuit>).Dv: Vector with dependent variables (sympy.Matrix)

  • doLaplace(<circuit>).numer: Numerator of the voltage transfer from V1 to V_out (sympy.Expr)

If parameter stepping is applied, all above attributes are lists of values or expressions for each step.

Parameters

See section General instruction format.

Example

import SLiCAP as sl
sl.initProject("My First RC Network")
# Generate the circuit object from the netlist
cir = sl.makeCircuit("myFirstRCnetwork.cir")
# Obtain the numerator od the voltage transfer from V1 to V_out:
V_gain = sl.doNumer(cir).laplace
doPZ(cir, source='circuit', detector='circuit', lgref='circuit', transfer='gain', convtype=None, pardefs=None, numeric=False, stepdict=None)

Returns the DC value, the zeros, and the poles of a transfer function. Poles and zeros that coincide within the diaplay accuracy (ini.disp) are canceled.

Returns:

SLiCAP results object of which the following attributes with be set as a result of this instruction:

Return type:

SLiCAP.SLiCAPprotos.allResults object

Return value attributes

  • doPZ(<circuit>).M: MNA matrix (sympy.Matrix)

  • doPZ(<circuit>.Iv: Vector with independent variables (sympy.Matrix)

  • doPZ(<circuit>).Dv: Vector with dependent variables (sympy.Matrix)

  • doPZ(<circuit>).numer: Numerator of the voltage transfer from V1 to V_out (sympy.Expr)

  • doPZ(<circuit>).denom: Denominator of the voltage transfer from V1 to V_out (sympy.Expr)

  • doPZ(<circuit>).zeros: List with solutions of numer=0 for the Laplace variable (ini.laplace) (list with sympy.Expr or floats)

  • doPZ(<circuit>).poles: List with solutions of denom=0 for the Laplace variable (ini.laplace) (list with sympy.Expr or floats)

  • doPZ(<circuit>).DCvalue: Zero frequency value of the voltage transfer from V1 to V_out (sympy.Expr)

If parameter stepping is applied, all above attributes are lists of values or expressions for each step.

Frequencies of poles and zeros are always in radians per seconds. The setting of ini.hz only affects the diplay of tables in the console (listPZ()), on HTML pages (pz2httml()), or in LaTeX and RST reports.

Parameters

See section General instruction format.

Example

import SLiCAP as sl
sl.initProject("My First RC Network")
# Generate the circuit object from the netlist
cir = sl.makeCircuit("myFirstRCnetwork.cir")
# Obtain the zeros of the transfer from V1 to V_out:
Zeros = sl.doZeros(cir).zeros
doParams(cir, source='circuit', detector='circuit', lgref='circuit', transfer=None, convtype=None, pardefs='circuit', numeric=True, stepdict=None)

This function can be used in combination with plotSweep(funcType=’param’) It only needs the circuit object argument and returns the SLiCAP results object with the circuit object as attribute. This is used by plotSweep() to plot parameters against each other.

doPoles(cir, source='circuit', detector='circuit', lgref='circuit', transfer='gain', convtype=None, pardefs=None, numeric=False, stepdict=None)

Returns the poles of a transfer function.

Returns:

SLiCAP results object of which the following attributes with be set as a result of this instruction:

Return type:

SLiCAP.SLiCAPprotos.allResults object

Return value attributes

  • doPoles(<circuit>).M: MNA matrix (sympy.Matrix)

  • doPoles(<circuit>).Dv: Vector with dependent variables (sympy.Matrix)

  • doPoles(<circuit>).denom: Denominator of the voltage transfer from V1 to V_out (sympy.Expr)

  • doPoles(<circuit>).poles: List with solutions of denom=0 for the Laplace variable (ini.laplace) (list with sympy.Expr or floats)

If parameter stepping is applied, all above attributes are lists of values or expressions for each step.

Frequencies of poles are always in radians per seconds. The setting of ini.hz only affects the diplay of tables in the console (listPZ()), on HTML pages (pz2httml()), or in LaTeX and RST reports.

Parameters

See section General instruction format.

Example

import SLiCAP as sl
sl.initProject("My First RC Network")
# Generate the circuit object from the netlist
cir = sl.makeCircuit("myFirstRCnetwork.cir")
# Obtain the poles of the transfer from V1 to V_out:
Poles = sl.doPoles(cir).poles
doSolve(cir, source=None, detector=None, lgref=None, transfer=None, convtype=None, pardefs=None, numeric=False, stepdict=None)

Returns the (Laplace) solution of the circuit.

The (Laplace) values of all independent sources are taken as input signals. The application of initial conditions has not yet been implemented.

The arguments for source, detector, lgref and transfer will be ignored and considered: None.

Returns:

SLiCAP results object of which the following attributes with be set as a result of this instruction:

Return type:

SLiCAP.SLiCAPprotos.allResults object

Return value attributes

  • doSolve(<circuit>).M: MNA matrix (sympy.Matrix)

  • doSolve(<circuit>.Iv: Vector with independent variables (sympy.Matrix)

  • doSolve(<circuit>).Dv: Vector with dependent variables (sympy.Matrix)

  • doSolve(<circuit>).solve Vector with solutions of dependent variables (sympy.Matrix)

If parameter stepping is applied, all above attributes are lists of values or expressions for each step.

Parameters

See section General instruction format.

Example

import SLiCAP as sl
sl.initProject("My First RC Network")
# Generate the circuit object from the netlist
cir = sl.makeCircuit("myFirstRCnetwork.cir")
# Obtain the network solution:
solution = sl.doSolve(cir).solve
doStep(cir, source='circuit', detector='circuit', lgref='circuit', transfer='gain', convtype=None, pardefs=None, numeric=False, stepdict=None)

Returns the unit-step response of a transfer (based upon the ILT). The argument ‘transfer’ will be set to gain if None is given.

Returns:

SLiCAP results object of which the following attributes with be set as a result of this instruction:

Return type:

SLiCAP.SLiCAPprotos.allResults object

Return value attributes

  • doStep(<circuit>).M: MNA matrix (sympy.Matrix)

  • doStep(<circuit>.Iv: Vector with independent variables (sympy.Matrix)

  • doStep(<circuit>).Dv: Vector with dependent variables (sympy.Matrix)

  • doStep(<circuit>).numer: Numerator of the voltage transfer from V1 to V_out (sympy.Expr)

  • doStep(<circuit>).denom: Denominator of the voltage transfer from V1 to V_out (sympy.Expr)

  • doStep(<circuit>).laplace: Voltage transfer from V1 to V_out (sympy.Expr)

  • doStep(<circuit>).stepResp: Unit-step response of the Voltage transfer from V1 to V_out (sympy.Expr)

If parameter stepping is applied, all above attributes are lists of values or expressions for each step.

Parameters

See section General instruction format.

Example

import SLiCAP as sl
sl.initProject("My First RC Network")
# Generate the circuit object from the netlist
cir = sl.makeCircuit("myFirstRCnetwork.cir")
# Obtain the unit-step response of the transfer from V1 to V_out:
a_t = sl.doStep(cir).stepResp
doTime(cir, source='circuit', detector='circuit', lgref='circuit', transfer=None, convtype=None, pardefs=None, numeric=False, stepdict=None)

Returns the detector voltage or current (Inverse Laplace Transform).

The (Laplace) values of all independent sources are taken as input signals. Application of initial conditions has not yet ben implemented.

The arguments for source and transfer will be ignored and both considered: None).

Returns:

SLiCAP results object of which the following attributes with be set as a result of this instruction:

Return type:

SLiCAP.SLiCAPprotos.allResults object

Return value attributes

  • doTime<circuit>).M: MNA matrix (sympy.Matrix)

  • doLaplaceVI(<circuit>.Iv: Vector with independent variables (sympy.Matrix)

  • doTime<circuit>).Dv: Vector with dependent variables (sympy.Matrix)

  • doTime(<circuit>).numer: Numerator of the Laplace Transform of the detector voltage or current (sympy.Expr)

  • doTime<circuit>).denom: Denominator of the Laplace Transfor of the detector voltage or current (sympy.Expr)

  • doTime(<circuit>).laplace: Laplace Transform of the detector voltage or current (sympy.Expr)

  • doTime(<circuit>).time: Detector voltage or current

If parameter stepping is applied, all above attributes are lists of values or expressions for each step.

Parameters

See section General instruction format.

Example

import SLiCAP as sl
sl.initProject("My First RC Network")
# Generate the circuit object from the netlist
cir = sl.makeCircuit("myFirstRCnetwork.cir")
# Obtain the Lapace transform of the detector voltage V_out:
V_out = sl.doLaplaceVI(cir).laplace
doTimeSolve(cir, source=None, detector=None, lgref=None, transfer=None, convtype=None, pardefs=None, numeric=False, stepdict=None)

Returns the time-domain solution of the circuit, using the Inverse Laplace Transform.

The (Laplace) values of all independent sources are taken as input signals. The application of initial conditions has not yet been implemented.

The arguments for source, detector, lgref and transfer will be ignored and considered: None.

Returns:

SLiCAP results object of which the following attributes with be set as a result of this instruction:

Return type:

SLiCAP.SLiCAPprotos.allResults object

Return value attributes

  • doTimeSolve(<circuit>).M: MNA matrix (sympy.Matrix)

  • doTimeSolve(<circuit>.Iv: Vector with independent variables (sympy.Matrix)

  • doTimeSolve(<circuit>).Dv: Vector with dependent variables (sympy.Matrix)

  • doTimeSolve<circuit>).timeSolve Vector with Dtime-domain solutions of dependent variables (sympy.Matrix)

If parameter stepping is applied, all above attributes are lists of values or expressions for each step.

Parameters

See section General instruction format.

Example

import SLiCAP as sl
sl.initProject("My First RC Network")
# Generate the circuit object from the netlist
cir = sl.makeCircuit("myFirstRCnetwork.cir")
# Obtain the DC network solution:
timeSolution = sl.doTimeSolve(cir).DCsolve
doZeros(cir, source='circuit', detector='circuit', lgref='circuit', transfer='gain', convtype=None, pardefs=None, numeric=False, stepdict=None)

Returns the zeros of a transfer function.

Returns:

SLiCAP results object of which the following attributes with be set as a result of this instruction:

Return type:

SLiCAP.SLiCAPprotos.allResults object

Return value attributes

  • doZeros(<circuit>).M: MNA matrix (sympy.Matrix)

  • doZeros(<circuit>.Iv: Vector with independent variables (sympy.Matrix)

  • doZeros(<circuit>).Dv: Vector with dependent variables (sympy.Matrix)

  • doZeros(<circuit>).numer: Numerator of the voltage transfer from V1 to V_out (sympy.Expr)

  • doZeros(<circuit>).zeros: List with solutions of numer=0 for the Laplace variable (ini.laplace) (list with sympy.Expr or floats)

If parameter stepping is applied, all above attributes are lists of values or expressions for each step.

Frequencies of zeros are always in radians per seconds. The setting of ini.hz only affects the diplay of tables in the console (listPZ()), on HTML pages (pz2httml()), or in LaTeX and RST reports.

Parameters

See section General instruction format.

Example

import SLiCAP as sl
sl.initProject("My First RC Network")
# Generate the circuit object from the netlist
cir = sl.makeCircuit("myFirstRCnetwork.cir")
# Obtain the zeros of the transfer from V1 to V_out:
Zeros = sl.doZeros(cir).zeros
makeCircuit(fileName, update=True, cirTitle=None, imgWidth=500, expansion=True, description=None)

  1. Creates and returns a circuit object from:

    • A netlist file (“.cir” file: always in the cir folder of the project folder)

    • A KiCAD schematic file (“.kicad_sch” file, full path or relative to project folder)

    • An LTspice schematic file (“.asc” file, full path or relative to project folder)

    • A Lepton-eda schematic file (“.sch” file, full path or relative to project folder; Linux and maxOS only)

    • A gschem schematic file (“.sch” file, full path or relative to script; MSWindows only)

  2. Creates drawing size PDF and SVG image files of the schematics diagram (KiCAD and Lepton-eda only, KiCAD requires installation of Inkscape) and puts these images in the ini.img_path folder.

  3. Creates an HTML page with circuit information.

Parameters:

  • fileName (str) –

    Circuit file name, netlist files “.cir” are located in the ini.cir directory, which can be altered in the SLiCAP.ini file in the project directory.

    Schematic files from KiCAD, LTspice, Lepton-eda or gschem should be given with their path relative to the project folder or with their absolute path.

  • udate –

    • True: a new netlist and image will be created

    • False: existing netlist and image will be used

    Defaults to True

  • cirTitle (str) –

    Title of the circuit if no title is given for netlist generation:

    • KiCAD: uses Title field on schematic or the filename without “.kicad_sch”

    • LTspice, gschem, lepton-eda use the filename without extension “.asc” or “.sch”.

    Defaults to None

  • imgWidth (int, None) –

    • Width of the circuit image in pixels (for placement on the HTML page with circuit data)

    • None: No image file will be placed on the HTML page with circuit data

    Defaults to 500

  • expansion (Bool) –

    • True: expanded netlist and parameter definitions are shown on the “Circuit Data” HTML page

    • False: only the circuit image and the circuit netlist are shown on the “Circuit Data” HTML page

  • description (str) –

    Name of the file with a HTML Description of the circuit. It will be included in the HTML page with the circuit data.

    SLiCAP will look for this text file in the ini.txt directory (default ‘./txt/’)