Xe (Xenon)
22 datasets, together covering 0.1404–1 µm. Default: Bideau-Mehu et al. 1981: n 0.140–0.623 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 178 K; n 0.361–0.644 µm
- Sinnock and Smith 1969: Liquid at 174 K; n 0.361–0.644 µm
- Sinnock and Smith 1969: Liquid at 170 K; n 0.361–0.644 µm
- Sinnock and Smith 1969: Liquid at 166 K; n 0.361–0.644 µm
- Sinnock and Smith 1969: Liquid at 161.35 K; n 0.361–0.644 µm
- Grace et al. 2017: Liquid at 178 K; n 0.157–0.660 µm
- Grace et al. 2017: Liquid at 161.35 K; n 0.157–0.660 µm
Solid
- Sinnock and Smith 1969: Solid at 161.35 K; n 0.361–0.644 µm
- Sinnock and Smith 1969: Solid at 150 K; n 0.361–0.644 µm
- Sinnock and Smith 1969: Solid at 140 K; n 0.361–0.644 µm
- Sinnock and Smith 1969: Solid at 130 K; n 0.361–0.644 µm
- Sinnock and Smith 1969: Solid at 120 K; n 0.361–0.644 µm
- Sinnock and Smith 1969: Solid at 110 K; n 0.361–0.644 µm
- Sinnock and Smith 1969: Solid at 100 K; n 0.361–0.644 µm
- Sinnock and Smith 1969: Solid at 90 K; n 0.361–0.644 µm
- Sinnock and Smith 1969: Solid at 80 K; n 0.361–0.644 µm
- Grace et al. 2017: Solid at 161.35 K; n 0.157–0.660 µm
- Grace et al. 2017: Solid at 80 K; n 0.157–0.660 µm
Use it in Lightsmith
Load this data in Python, simulate in one more line
pip install lightsmith
import lightsmith as ls
# Xe (Xenon): Bideau-Mehu et al. 1981: n 0.140–0.623 µm
xe = ls.fetch_refractiveindex("main", "Xe", "Bideau-Mehu", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(xe.range_nm) # (140.4, 623.4) nm
eps = xe.eps([296]) # 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_8743fed710eb/lightsmith"
xe = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(xe.source) # citation and provenance travel with the data
Any dataset here, as the library's Tabulated material (xe/bideau-mehu-1981).
# ... load xe as above, then:
sim = ls.Simulation(
particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=xe)],
medium_index=1.0,
wavelengths=ls.WavelengthRange(start_nm=400, stop_nm=623, 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"]).
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 Xe (Xenon)
Xenon (Xe) is a noble gas that exists as a colorless, dense, odorless gas under standard conditions. It's one of the rare gases found in the Earth's atmosphere, representing only a tiny fraction of the air we breathe. Due to its heavy atomic weight and low reactivity, xenon is often used in specialized lighting, including powerful flash lamps, high-intensity arc-lamps, and as the propellant in ion engines for deep space missions. In medicine, xenon has been explored as an anesthetic and in imaging. Its isotopes also find use in various applications, such as the detection of neutrinos in particle physics experiments. Xenon can form compounds, albeit rarely, with highly electronegative elements like fluorine.
Other names: Xenon
API: /v1/materials/mat_dd473499db77 · slug xe