Acrylic double matching liquid (Cargille)
Liquids supplier-datasheet Supplier: Cargille
1 dataset, together covering 0.31–1.55 µm. Default: Acrylic double matching liquid.
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Use it in Lightsmith
Load this data in Python, simulate in one more line
pip install lightsmith
import lightsmith as ls
# Acrylic double matching liquid (Cargille): Acrylic double matching liquid
mat = ls.fetch_refractiveindex("specs", "Cargille", "acrylic_double_matching_liquid", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(mat.range_nm) # (310, 1550) nm
eps = mat.eps([633]) # complex permittivityDownloads 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_af8729132f97/lightsmith"
mat = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(mat.source) # citation and provenance travel with the dataAny dataset here, as the library's Tabulated material (cargille-acrylic-double-matching-liquid/cargille).
# ... load mat as above, then:
sim = ls.Simulation(
particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=mat)],
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 wavelengthSame spec runs with DDA, FDTD, BEM or T-matrix: ls.compare(sim, ["mie", "dda"]).
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 Acrylic double matching liquid (Cargille)
An index-matching material is usually used to create an optical contact with minimum reflection between optical components.
Other names: acrylic_double_matching_liquid, Index-matching materials
API: /v1/materials/mat_69d64badf181 · slug cargille-acrylic-double-matching-liquid