Ar (Argon)
22 datasets, together covering 0.117–2.059 µm. Default: Bideau-Mehu et al. 1981: n 0.140–0.568 µm.
Compare datasets
Tick datasets in the list to add them to the plot (up to 12).
Datasets
Gas
Liquid
- Sinnock and Smith 1969: Liquid at 90 K; n 0.361–0.644 µm
- Sinnock and Smith 1969: Liquid at 88 K; n 0.361–0.644 µm
- Sinnock and Smith 1969: Liquid at 86 K; n 0.361–0.644 µm
- Sinnock and Smith 1969: Liquid at 83.81 K; n 0.361–0.644 µm
- Grace et al 2017: Liquid at 90 K; n 0.117–0.660 µm
- Grace et al 2017: Liquid at 83.81 K; n 0.117–0.660 µm
Solid
- Sinnock and Smith 1969: Solid at 83.81 K; n 0.361–0.644 µm
- Sinnock and Smith 1969: Solid at 80 K; n 0.361–0.644 µm
- Sinnock and Smith 1969: Solid at 70 K; n 0.361–0.644 µm
- Sinnock and Smith 1969: Solid at 60 K; n 0.361–0.644 µm
- Sinnock and Smith 1969: Solid at 50 K; n 0.361–0.644 µm
- Sinnock and Smith 1969: Solid at 40 K; n 0.361–0.644 µm
- Sinnock and Smith 1969: Solid at 30 K; n 0.361–0.644 µm
- Sinnock and Smith 1969: Solid at 20 K; n 0.361–0.644 µm
- Grace et al 2017: Solid at 83.81 K; n 0.117–0.660 µm
- Grace et al 2017: Solid at 20 K; n 0.117–0.660 µm
Use it in Lightsmith
Load this data in Python, simulate in one more line
pip install lightsmith
import lightsmith as ls
# Ar (Argon): Bideau-Mehu et al. 1981: n 0.140–0.568 µm
ar = ls.fetch_refractiveindex("main", "Ar", "Bideau-Mehu", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(ar.range_nm) # (140.4, 567.7) nm
eps = ar.eps([282]) # 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_52d59331b091/lightsmith"
ar = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(ar.source) # citation and provenance travel with the dataAny dataset here, as the library's Tabulated material (ar/bideau-mehu-1981).
# ... load ar as above, then:
sim = ls.Simulation(
particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=ar)],
medium_index=1.0,
wavelengths=ls.WavelengthRange(start_nm=400, stop_nm=567, 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 Ar (Argon)
Argon (Ar) is a noble gas with an atomic number of 18, and it's one of the most abundant gases in the Earth's atmosphere. It is colorless, odorless, and generally chemically inert, conforming to the behavior of noble gases. In the optical domain, argon is best known for its applications in gas lasers, specifically argon-ion lasers, which emit light in the ultraviolet to visible range. These lasers are employed in a variety of applications, from scientific research to medical procedures and even in some types of laser light shows. Argon is also commonly used as a shielding gas in various types of arc welding, as its inert properties prevent the oxidation of metal being welded. In low-temperature applications, liquid argon serves as a cryogen, and in specialized optical applications, it can be used as a fill gas for windows or other optical elements to prevent fogging and reduce thermal conduction. Although argon is not notable for any particularly strong optical absorption or emission features in the bulk phase, its stable and inert nature makes it a versatile component in a variety of optical and industrial applications.
Other names: Argon
API: /v1/materials/mat_15dd1cc54f93 · slug ar