Laser Etch Monitor Simulation in Python: Difference between revisions

Revision as of 07:55, 14 November 2017

Python script to simulate a Laser Etch Monitor (aka. Laser Endpoint Detection).

Make sure you have a Python installation running, that includes scientific libraries. The easiest method is to use the all-in-one installer "Anaconda". This also installs the Matlab-like IDE "Spyder".
Download the EMpy repository by Lorenzo Bolla: https://github.com/lbolla/EMpy
Move "ex_laser_etch_monitor.py" & "nk.py" out of the examples folder, so they're in the same directory as the "EMpy" library folder.
Edit "ex_laser_etch_monitor.py" to reflect your structure.
1. Set up your materials, layers, and then multi-layer stack.
2. Refer to the file nk.py for material refractive index/dispersion models, or enter your own. You only need to know n & k at a single wavelength.
3. You can use multipliers to produce repeating layers, as so:
  1. layers = [air] + 5 * [GaAs_DBR, AlGaAs_DBR] + [GaAs_substrate]
In Spyder, run the script with "Interact with shell after execution" enabled. This allows you to keep messing with the figure and objects after execution, like in Matlab.

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 Python script to simulate a Laser Etch Monitor (aka. Laser Endpoint Detection).
-* [https://github.com/lbolla/EMpy/blob/master/examples/ex_laser_etch_monitor.py Example: Laser Etch Monitor on EMpy repository]
+* [https://github.com/lbolla/EMpy/blob/master/examples/ex_laser_etch_monitor.py Laser Etch Monitor example on EMpy repository]
 * [[File:Laser Etch Monitor v2 - AlGaAs stack.png|alt= Simulated Laser Monitor Signal vs. Etch Depth.|none|thumb|400x400px|Simulated Laser Monitor Signal for a GaAs/AlGaAs periodic stack.]]