Beer-Lambert calculation tutorial

[FilipeFcp]

Hi guys,

I’ve recently received a few questions from users about how to convert the absorption coefficient into a complex refractive index and how to calculate absorbed power, so I decided to create this quick tutorial to demonstrate these features.

[github-actions]

Spell Check Report

BeerLambert.ipynb:

Cell 1, Line 1: 'Beer-Lambert'
  > # Simulating the Beer-Lambert Law with Tidy3D
Cell 3, Line 7: 'Beer-Lambert'
  > We can relate $k$ to the absorption coefficient from the Beer-Lambert law:
Cell 6, Line 1: 'conductivity-based'
  > # Equivalent conductivity-based definition to verify consistency
Cell 7, Line 1: 'Beer-Lambert'
  > ## Simulating the Beer-Lambert Law
Cell 14, Line 5: 'Beer-Lambert'
  > And compare with the analytical results, from Beer-Lambert law:
Cell 17, Line 1: 'Beer-Lambert'
  > # Cumulative absorption along z to compare with Beer-Lambert prediction

---

Checked 1 notebook(s). Found spelling errors in 1 file(s).
Generated by GitHub Action run: https://github.com/flexcompute/tidy3d-notebooks/actions/runs/19109406087

[alec-flexcompute]

Great notebook - super useful reference and awesome agreement with analytic solutions.

The only thing I'd suggest is maybe highlighting in the comments that you're using td.EPSILON_0, which is not 1. This caused me several minutes of confusion when I was converting loss to nk mediums. This is an optional suggestion, though.

[tomflexcompute]

Great addition @FilipeFcp !

[FilipeFcp]

Thanks all!