AlSb-GaSb (Aluminium gallium antimonide, AlGaSb)

4 datasets, together covering 0.207–2.48 µm. Default: Ferrini et al. 1998: n,k 0.207–2.480 µm; 10% Al.

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Tick datasets in the list to add them to the plot (up to 12).

Datasets

Use it in Lightsmith

Load this data in Python, simulate in one more line

pip install lightsmith

import lightsmith as ls

# AlSb-GaSb (Aluminium gallium antimonide, AlGaSb): Ferrini et al. 1998: n,k 0.207–2.480 µm; 10% Al
alsb_gasb = ls.fetch_refractiveindex("other", "AlSb-GaSb", "Ferrini-10", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(alsb_gasb.range_nm)  # (207, 2480) nm
eps = alsb_gasb.eps([633])  # complex permittivity

Downloads the original record once (pinned to the imported snapshot) and caches it.

import json, urllib.request
import lightsmith as ls

url = "https://materials.lightsmith.dev/v1/datasets/ds_6ee1bb0e02e1/lightsmith"
alsb_gasb = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(alsb_gasb.source)  # citation and provenance travel with the data

Any dataset here, as the library's Tabulated material (alsb-gasb/ferrini-1998-10).

# ... load alsb_gasb as above, then:
sim = ls.Simulation(
    particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=alsb_gasb)],
    medium_index=1.0,
    wavelengths=ls.WavelengthRange(start_nm=400, stop_nm=1000, num=81),
)
res = ls.solve(sim)  # exact Mie for a sphere
print(res.q_ext)     # extinction efficiency at each wavelength

Same spec runs with DDA, FDTD, BEM or T-matrix: ls.compare(sim, ["mie", "dda"]).

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Lightsmith is open source (MIT): Mie, T-matrix, BEM, DDA, FDTD, RCWA, TMM, mode solvers and inverse design behind one spec, on CPU or GPU. GitHub.

About AlSb-GaSb (Aluminium gallium antimonide, AlGaSb)

Other names: Aluminium gallium antimonide, AlGaSb, AlGaSb (Aluminium gallium antimonide)

API: /v1/materials/mat_dd6cee215d83 · slug alsb-gasb