Norland NOA 61
2 datasets, together covering 0.2458–1.688 µm. Default: Norland spec sheet: Cured; n 0.450–1.55 µm.
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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
# Norland NOA 61: Norland spec sheet: Cured; n 0.450–1.55 µm
norland_noa_61 = ls.fetch_refractiveindex("other", "Norland_NOA-61", "Norland", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(norland_noa_61.range_nm) # (450, 1550) nm
eps = norland_noa_61.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_cd6c97f40171/lightsmith"
norland_noa_61 = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(norland_noa_61.source) # citation and provenance travel with the dataAny dataset here, as the library's Tabulated material (norland-noa-61/norland).
# ... load norland_noa_61 as above, then:
sim = ls.Simulation(
particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=norland_noa_61)],
medium_index=1.0,
wavelengths=ls.WavelengthRange(start_nm=450, 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 Norland NOA 61
Other names: Norland_NOA-61, NOA-61
API: /v1/materials/mat_834546629f68 · slug norland-noa-61