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Update non_linear_analysis.md

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modules/module_2_50GHz_MPA/part_3_nonlinear_analysis/non_linear_analysis.md
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@ -73,43 +73,13 @@ The expected table output is shown below:
As seen in the results table, the simulation has run successfully. This confirms that the **sweeping parameter**, **frequency axis**, and **raw data** are correctly recorded.
Within the **part_3_non_linear_analysis** section, a folder named **python** contains a script designed to facilitate post-processing. This script aims to provide an easy way to **plot gain vs. input power** and **output power vs. input power**.
Within the **part_3_non_linear_analysis** section, a folder named **python** contains a jupyter lab script designed to facilitate post-processing. This script aims to provide an easy way to **plot gain vs. input power** and **output power vs. input power**. In order to use this extract the I/O current and voltages. This should be done by instantiating a cartesian plot founder under diagrams:
<p align="center"> <img src="../../../media/module_2/diagram_main_dock.png" width="350" height="550" /> </p>
**Note:** There may be potential issues with the script, so adjustments might be required depending on the data format or specific cases encountered.
To use the script, navigate to its location and run the following command:
and plot the I/O current and voltages. This is done by double clicking the plot and selecting the appropriate data.
```
python3 plot_xyce.py
```
this will print the following information, to show functionality:
```
This script processes and extracts variables from a specified dataset file.
You can use the script in the following ways:
1. To list all independent and dependent variables in the dataset:
python3 script.py <file_path>
2. To print all values for a specific variable:
python3 script.py <file_path> <variable_name>
3. To run the analysis and generate plots, pass the following arguments:
python3 script.py <file_path> <vout_var> <vin_var> <iin_var> <iout_var> <sweep_var> <freq_interest> [xlim_min xlim_max]
```
From here, navigate to the simulation directory containing the dataset file and execute the following command:
```
python3 ../../python/plot_xyce.py load_pull.dat.xyce "V(VOUT)" "V(VIN)" "I(PR2)" "I(PR3)" "Y" 50e9 -30 -10 -1 16
```
This command generates a readable plot of **gain vs. input power**. For **output power vs. input power**, adjust the boundaries accordingly.
If the naming conventions of the variables differ in your schematic, use the following command to list all available parameters in the dataset:
```
python3 ../../python/plot_xyce.py load_pull.dat.xyce
```
Once the script runs successfully, the **gain vs. input power** plot should resemble the following:
<p align="center"> <img src="../../../media/module_2/gain_vs_input_power_2.png" width="600" height="500" /> </p>
<p align="center"> <img src="../../../media/module_2/output_power_vs_input_power.png" width="600" height="500" /> </p>
<p align="center"> <img src="../../../media/module_2/edit_diagram_properties.png" width="400" height="450" /> </p>
## Performing Load Pull