IG 2 (VITRON)
Glasses, oxides and dielectrics supplier-datasheet Supplier: VITRON
1 dataset, together covering 1–12 µm. Default: IG 2.
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Datasets
Use it in Lightsmith
Load this data in Python, simulate in one more line
pip install lightsmith
import lightsmith as ls
# IG 2 (VITRON): IG 2
vitron_ig2 = ls.fetch_refractiveindex("specs", "VITRON-infrared", "IG2", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(vitron_ig2.range_nm) # (1000, 12000) nm
eps = vitron_ig2.eps([3460]) # 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_58833d6d5511/lightsmith"
vitron_ig2 = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(vitron_ig2.source) # citation and provenance travel with the data
Any dataset here, as the library's Tabulated material (vitron-ig2/vitron).
# ... load vitron_ig2 as above, then:
sim = ls.Simulation(
particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=vitron_ig2)],
medium_index=1.0,
wavelengths=ls.WavelengthRange(start_nm=1000, stop_nm=12000, 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"]).
import json, urllib.request
import lightsmith as ls
url = "https://materials.lightsmith.dev/v1/datasets/ds_58833d6d5511/lightsmith?model=drude_lorentz"
vitron_ig2_dl = ls.DrudeLorentz.model_validate(json.load(urllib.request.urlopen(url)))
A dispersive Drude–Lorentz model for time-domain solvers.
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 IG 2 (VITRON)
Other names: IG2
API: /v1/materials/mat_12feadbcf5d0 · slug vitron-ig2