x_res module
This XStep is used to extract resistances from I(V) data. It is explicitly made to be subclassed. Input : I(V) Data Outpout : Resistance parameter with name as specified in the constructor.
Author: Markus Müller Markus.Mueller3@tu-dresden.de
- class DMT.extraction.x_res.XRes(name, mcard, lib, op_definition, model, res_name, col_voltage, col_current, **kwargs)[source]
Bases:
XStepBase class for resistance extractions.
- Parameters:
- name
str Name of this specific xres object.
- mcard
McParameterCollection This parameter collection needs to hold all relevant parameters of the model and is used for simulations or model equation calculations.
- lib
DutLiborlist[DutView] Library or list of devices with the measured resistance.
- op_definition{
keyfloat,tupleorlist} Defines how to filter the given data in the duts by setting either a single value (float), a range (2-element tuple) or a list of values (list) for each variable to filter.
- model
Model Model object with all model equations used for this extraction step.
- res_name
str Parameter name for the resistance to be extracted.
- col_voltage
SpecifierStr Voltage to use for the extraction.
- col_current
SpecifierStr Current to use.
- name
- ensure_input_correct_per_dataframe(dataframe, **_kwargs)[source]
Search for all required columns in the data frames.
- fit(line, paras_model)[source]
- The input data_model is a list of dicts [{‘x’:np.ndarray(), ‘y’:np.ndarray()}].The x-values are already correct (bounds considered), however this function needs to write the y values.This method needs to either:- Calculate the data_model’s y values for the x-values, if the x-step uses a ModelEquation- Return the data_model’s y values for the x-values, if the x-step uses a dut+sweep combination.In this cases, XStep already carried out dut+sweep simulations with the parameters before calling the function. Promised.Reason: This allows to use DMT’s multithreading capabilities, speeding up the extraction significantly.
- get_tex()[source]
Return a tex Representation of the Model that is beeing fitted. This can then be displayed in the UI.
- init_data_reference_per_dataframe(dataframe, t_meas, dut=None, key=None)[source]
Find the required data in the user supplied dataframe or database and write them into data_model attribute of XStep object. In this case we want to optimize dVBE/dP !
- model_resistance(v=None, res=None, _constant=0, **_kwargs)[source]
Method to extract a resistance from a current/voltage dependence.