Optical constants
Refractive index of MgF2 (Magnesium fluoride)
Zheng et al. 2023: n(e) 0.22–1.7 µm; 368 °C
- Data
- formula 1
- Range
- 0.22–1.7 µm
- Temperature
- 641.05 K
- Optical axis
- e
- State
- crystalline
- Licence
- CC0-1.0
Uniaxial crystal, axes: e
Plot
Click the plot to set the calculator wavelength.
At one wavelength
- Refractive index n
- 1.38786
- Extinction coefficient k
- 0
- Permittivity ε1
- 1.92615
- Permittivity ε2
- 0
- Absorption coefficient α
- 0 cm⁻¹
- Penetration depth δ = λ/(2πk)
- — nm
- Abbe number Vd
- 105.05
- Chromatic dispersion dn/dλ
- -0.0192409 µm⁻¹
- Group index ng
- 1.39916
- Group velocity dispersion
- 31.5631 fs²/mm
- Dispersion parameter D
- -172.193 ps/(nm·km)
- Photon energy
- 2.11001 eV
ε = (n + ik)², α = 4πk/λ, ng = n − λ dn/dλ, GVD = λ³/(2πc²) d²n/dλ², D = −(λ/c) d²n/dλ². Group-velocity dispersion is given for formula data only.
Use it in Lightsmith
Load this data in Python, simulate in one more line
pip install lightsmith
import lightsmith as ls
# MgF2 (Magnesium fluoride): Zheng et al. 2023: n(e) 0.22–1.7 µm; 368 °C
mgf2 = ls.fetch_refractiveindex("main", "MgF2", "Zheng-e-368C", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(mgf2.range_nm) # (220, 1700) nm
eps = mgf2.eps([633]) # 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_b49e804e522c/lightsmith"
mgf2 = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(mgf2.source) # citation and provenance travel with the data
Any dataset here, as the library's Tabulated material (mgf2/zheng-2023-e-368c).
# ... load mgf2 as above, then:
sim = ls.Simulation(
particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=mgf2)],
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 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_b49e804e522c/lightsmith?model=drude_lorentz"
mgf2_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.
Dispersion formula
Sellmeier (formula 1), λ in µmValid from 0.22 to 1.7 µm.
Coefficients as stored
| Ci | Value |
|---|---|
| C1 | 0.0 |
| C2 | 0.41342 |
| C3 | 0.036843 |
| C4 | 0.50039 |
| C5 | 0.090762 |
| C6 | 2.4905 |
| C7 | 23.772 |
Comments and conditions
Conditions
- temperature
- 641.05 K
- direction
- e
References
- doi:10.1364/ome.496246 Temperature-dependent optical properties of monocrystalline CaF<sub>2</sub>, BaF<sub>2</sub>, and MgF<sub>2</sub>, Optical Materials Express (2023)
Cite
Qifan Zheng, Xinchao Wang and Dakotah Thompson. Temperature-dependent optical properties of monocrystalline CaF<sub>2</sub>, BaF<sub>2</sub>, and MgF<sub>2</sub>. Optical Materials Express, 13, 2380 (2023), doi:10.1364/ome.496246; Data from the refractiveindex.info database (M. N. Polyanskiy, Sci. Data 11, 94 (2024), doi:10.1038/s41597-023-02898-2)
Data
Computed on 400 wavelengths, the same grid as the API and the library| λ (µm) | n |
|---|---|
| 0.22 | 1.424135 |
| 0.22113 | 1.423649 |
| 0.222266 | 1.423169 |
| 0.223408 | 1.422695 |
| 0.224556 | 1.422228 |
| 0.22571 | 1.421767 |
| 0.22687 | 1.421313 |
| 0.228035 | 1.420864 |
| 0.229207 | 1.420421 |
| 0.230385 | 1.419985 |
| 0.231568 | 1.419554 |
| 0.232758 | 1.419129 |
| 0.233954 | 1.418709 |
| 0.235156 | 1.418295 |
| 0.236364 | 1.417886 |
| 0.237578 | 1.417483 |
| 0.238799 | 1.417085 |
| 0.240026 | 1.416692 |
| 0.241259 | 1.416305 |
| 0.242499 | 1.415922 |
| 0.243745 | 1.415544 |
| 0.244997 | 1.415171 |
| 0.246256 | 1.414803 |
| 0.247521 | 1.41444 |
| 0.248793 | 1.414081 |
| 0.250071 | 1.413727 |
| 0.251356 | 1.413377 |
| 0.252647 | 1.413032 |
| 0.253945 | 1.412691 |
| 0.25525 | 1.412354 |
| 0.256562 | 1.412022 |
| 0.25788 | 1.411694 |
| 0.259205 | 1.41137 |
| 0.260536 | 1.41105 |
| 0.261875 | 1.410734 |
| 0.263221 | 1.410422 |
| 0.264573 | 1.410113 |
| 0.265932 | 1.409809 |
| 0.267299 | 1.409508 |
| 0.268672 | 1.409211 |
| 0.270052 | 1.408918 |
| 0.27144 | 1.408628 |
| 0.272834 | 1.408342 |
| 0.274236 | 1.408059 |
| 0.275645 | 1.40778 |
| 0.277061 | 1.407504 |
| 0.278485 | 1.407232 |
| 0.279916 | 1.406962 |
| 0.281354 | 1.406697 |
| 0.282799 | 1.406434 |
| 0.284252 | 1.406174 |
| 0.285713 | 1.405918 |
| 0.287181 | 1.405664 |
| 0.288656 | 1.405414 |
| 0.290139 | 1.405167 |
| 0.29163 | 1.404922 |
| 0.293128 | 1.404681 |
| 0.294634 | 1.404442 |
| 0.296148 | 1.404206 |
| 0.29767 | 1.403973 |
| 0.299199 | 1.403743 |
| 0.300736 | 1.403515 |
| 0.302282 | 1.40329 |
| 0.303835 | 1.403068 |
| 0.305396 | 1.402848 |
| 0.306965 | 1.402631 |
| 0.308542 | 1.402417 |
| 0.310127 | 1.402205 |
| 0.311721 | 1.401995 |
| 0.313322 | 1.401788 |
| 0.314932 | 1.401583 |
| 0.31655 | 1.401381 |
| 0.318176 | 1.40118 |
| 0.319811 | 1.400983 |
| 0.321454 | 1.400787 |
| 0.323106 | 1.400594 |
| 0.324766 | 1.400403 |
| 0.326435 | 1.400214 |
| 0.328112 | 1.400027 |
| 0.329798 | 1.399843 |
| 0.331492 | 1.39966 |
| 0.333195 | 1.39948 |
| 0.334907 | 1.399301 |
| 0.336628 | 1.399125 |
| 0.338357 | 1.398951 |
| 0.340096 | 1.398778 |
| 0.341843 | 1.398608 |
| 0.343599 | 1.398439 |
| 0.345365 | 1.398273 |
| 0.347139 | 1.398108 |
| 0.348923 | 1.397945 |
| 0.350716 | 1.397784 |
| 0.352517 | 1.397624 |
| 0.354329 | 1.397467 |
| 0.356149 | 1.397311 |
| 0.357979 | 1.397157 |
| 0.359818 | 1.397004 |
| 0.361667 | 1.396854 |
| 0.363525 | 1.396705 |
| 0.365393 | 1.396557 |
| 0.36727 | 1.396412 |
| 0.369157 | 1.396267 |
| 0.371054 | 1.396125 |
| 0.37296 | 1.395984 |
| 0.374876 | 1.395844 |
| 0.376803 | 1.395706 |
| 0.378738 | 1.39557 |
| 0.380684 | 1.395435 |
| 0.38264 | 1.395301 |
| 0.384606 | 1.395169 |
| 0.386582 | 1.395038 |
| 0.388568 | 1.394909 |
| 0.390565 | 1.394781 |
| 0.392572 | 1.394655 |
| 0.394589 | 1.39453 |
| 0.396616 | 1.394406 |
| 0.398654 | 1.394283 |
| 0.400702 | 1.394162 |
| 0.402761 | 1.394042 |
| 0.40483 | 1.393924 |
| 0.40691 | 1.393806 |
| 0.409001 | 1.39369 |
| 0.411102 | 1.393575 |
| 0.413214 | 1.393462 |
| 0.415337 | 1.393349 |
| 0.417471 | 1.393238 |
| 0.419616 | 1.393128 |
| 0.421772 | 1.393019 |
| 0.423939 | 1.392911 |
| 0.426117 | 1.392804 |
| 0.428306 | 1.392699 |
| 0.430507 | 1.392594 |
| 0.432719 | 1.392491 |
| 0.434942 | 1.392389 |
| 0.437177 | 1.392287 |
| 0.439423 | 1.392187 |
| 0.441681 | 1.392088 |
| 0.44395 | 1.39199 |
| 0.446231 | 1.391892 |
| 0.448524 | 1.391796 |
| 0.450828 | 1.391701 |
| 0.453144 | 1.391607 |
| 0.455472 | 1.391513 |
| 0.457813 | 1.391421 |
| 0.460165 | 1.39133 |
| 0.462529 | 1.391239 |
| 0.464905 | 1.39115 |
| 0.467294 | 1.391061 |
| 0.469695 | 1.390973 |
| 0.472108 | 1.390886 |
| 0.474534 | 1.3908 |
| 0.476972 | 1.390715 |
| 0.479422 | 1.390631 |
| 0.481886 | 1.390547 |
| 0.484362 | 1.390464 |
| 0.48685 | 1.390382 |
| 0.489351 | 1.390301 |
| 0.491866 | 1.390221 |
| 0.494393 | 1.390142 |
| 0.496933 | 1.390063 |
| 0.499486 | 1.389985 |
| 0.502052 | 1.389908 |
| 0.504632 | 1.389831 |
| 0.507225 | 1.389756 |
| 0.509831 | 1.389681 |
| 0.51245 | 1.389606 |
| 0.515083 | 1.389533 |
| 0.517729 | 1.38946 |
| 0.520389 | 1.389388 |
| 0.523063 | 1.389316 |
| 0.525751 | 1.389245 |
| 0.528452 | 1.389175 |
| 0.531167 | 1.389106 |
| 0.533896 | 1.389037 |
| 0.536639 | 1.388968 |
| 0.539396 | 1.388901 |
| 0.542168 | 1.388834 |
| 0.544953 | 1.388767 |
| 0.547753 | 1.388702 |
| 0.550567 | 1.388637 |
| 0.553396 | 1.388572 |
| 0.556239 | 1.388508 |
| 0.559097 | 1.388445 |
| 0.56197 | 1.388382 |
| 0.564857 | 1.38832 |
| 0.567759 | 1.388258 |
| 0.570676 | 1.388197 |
| 0.573608 | 1.388136 |
| 0.576555 | 1.388076 |
| 0.579518 | 1.388016 |
| 0.582495 | 1.387957 |
| 0.585488 | 1.387899 |
| 0.588496 | 1.387841 |
| 0.59152 | 1.387783 |
| 0.594559 | 1.387726 |
| 0.597614 | 1.38767 |
| 0.600684 | 1.387613 |
| 0.60377 | 1.387558 |
| 0.606872 | 1.387503 |
| 0.60999 | 1.387448 |
| 0.613124 | 1.387394 |
| 0.616275 | 1.38734 |
| 0.619441 | 1.387287 |
| 0.622623 | 1.387234 |
| 0.625822 | 1.387181 |
| 0.629038 | 1.387129 |
| 0.63227 | 1.387077 |
| 0.635518 | 1.387026 |
| 0.638783 | 1.386975 |
| 0.642065 | 1.386925 |
| 0.645364 | 1.386875 |
| 0.64868 | 1.386825 |
| 0.652013 | 1.386776 |
| 0.655363 | 1.386727 |
| 0.65873 | 1.386678 |
| 0.662114 | 1.38663 |
| 0.665516 | 1.386582 |
| 0.668936 | 1.386535 |
| 0.672373 | 1.386488 |
| 0.675827 | 1.386441 |
| 0.679299 | 1.386394 |
| 0.68279 | 1.386348 |
| 0.686298 | 1.386303 |
| 0.689824 | 1.386257 |
| 0.693368 | 1.386212 |
| 0.69693 | 1.386167 |
| 0.700511 | 1.386123 |
| 0.70411 | 1.386078 |
| 0.707728 | 1.386034 |
| 0.711364 | 1.385991 |
| 0.715019 | 1.385947 |
| 0.718693 | 1.385904 |
| 0.722385 | 1.385861 |
| 0.726097 | 1.385819 |
| 0.729827 | 1.385777 |
| 0.733577 | 1.385735 |
| 0.737346 | 1.385693 |
| 0.741134 | 1.385651 |
| 0.744942 | 1.38561 |
| 0.74877 | 1.385569 |
| 0.752617 | 1.385528 |
| 0.756483 | 1.385488 |
| 0.76037 | 1.385448 |
| 0.764277 | 1.385407 |
| 0.768204 | 1.385368 |
| 0.77215 | 1.385328 |
| 0.776118 | 1.385289 |
| 0.780105 | 1.385249 |
| 0.784113 | 1.38521 |
| 0.788142 | 1.385171 |
| 0.792191 | 1.385133 |
| 0.796262 | 1.385094 |
| 0.800353 | 1.385056 |
| 0.804465 | 1.385018 |
| 0.808598 | 1.38498 |
| 0.812752 | 1.384942 |
| 0.816928 | 1.384905 |
| 0.821125 | 1.384868 |
| 0.825344 | 1.38483 |
| 0.829585 | 1.384793 |
| 0.833847 | 1.384756 |
| 0.838131 | 1.38472 |
| 0.842437 | 1.384683 |
| 0.846766 | 1.384647 |
| 0.851116 | 1.38461 |
| 0.855489 | 1.384574 |
| 0.859885 | 1.384538 |
| 0.864303 | 1.384502 |
| 0.868743 | 1.384466 |
| 0.873207 | 1.38443 |
| 0.877693 | 1.384395 |
| 0.882203 | 1.384359 |
| 0.886735 | 1.384324 |
| 0.891291 | 1.384289 |
| 0.89587 | 1.384253 |
| 0.900473 | 1.384218 |
| 0.9051 | 1.384183 |
| 0.90975 | 1.384148 |
| 0.914424 | 1.384114 |
| 0.919122 | 1.384079 |
| 0.923845 | 1.384044 |
| 0.928591 | 1.38401 |
| 0.933362 | 1.383975 |
| 0.938158 | 1.383941 |
| 0.942978 | 1.383906 |
| 0.947823 | 1.383872 |
| 0.952693 | 1.383837 |
| 0.957587 | 1.383803 |
| 0.962507 | 1.383769 |
| 0.967453 | 1.383735 |
| 0.972423 | 1.383701 |
| 0.977419 | 1.383667 |
| 0.982441 | 1.383632 |
| 0.987489 | 1.383598 |
| 0.992562 | 1.383564 |
| 0.997662 | 1.38353 |
| 1.00279 | 1.383496 |
| 1.00794 | 1.383462 |
| 1.01312 | 1.383428 |
| 1.01832 | 1.383394 |
| 1.02356 | 1.383361 |
| 1.02881 | 1.383327 |
| 1.0341 | 1.383293 |
| 1.03941 | 1.383259 |
| 1.04475 | 1.383225 |
| 1.05012 | 1.383191 |
| 1.05552 | 1.383157 |
| 1.06094 | 1.383122 |
| 1.06639 | 1.383088 |
| 1.07187 | 1.383054 |
| 1.07738 | 1.38302 |
| 1.08291 | 1.382986 |
| 1.08848 | 1.382952 |
| 1.09407 | 1.382917 |
| 1.09969 | 1.382883 |
| 1.10534 | 1.382849 |
| 1.11102 | 1.382814 |
| 1.11673 | 1.38278 |
| 1.12247 | 1.382745 |
| 1.12823 | 1.38271 |
| 1.13403 | 1.382676 |
| 1.13986 | 1.382641 |
| 1.14571 | 1.382606 |
| 1.1516 | 1.382571 |
| 1.15752 | 1.382536 |
| 1.16346 | 1.382501 |
| 1.16944 | 1.382466 |
| 1.17545 | 1.38243 |
| 1.18149 | 1.382395 |
| 1.18756 | 1.382359 |
| 1.19366 | 1.382324 |
| 1.19979 | 1.382288 |
| 1.20596 | 1.382252 |
| 1.21215 | 1.382216 |
| 1.21838 | 1.38218 |
| 1.22464 | 1.382144 |
| 1.23093 | 1.382107 |
| 1.23726 | 1.382071 |
| 1.24361 | 1.382034 |
| 1.25 | 1.381997 |
| 1.25643 | 1.38196 |
| 1.26288 | 1.381923 |
| 1.26937 | 1.381886 |
| 1.27589 | 1.381848 |
| 1.28245 | 1.381811 |
| 1.28904 | 1.381773 |
| 1.29566 | 1.381735 |
| 1.30232 | 1.381697 |
| 1.30901 | 1.381659 |
| 1.31573 | 1.38162 |
| 1.32249 | 1.381581 |
| 1.32929 | 1.381543 |
| 1.33612 | 1.381503 |
| 1.34298 | 1.381464 |
| 1.34988 | 1.381425 |
| 1.35682 | 1.381385 |
| 1.36379 | 1.381345 |
| 1.37079 | 1.381305 |
| 1.37784 | 1.381265 |
| 1.38492 | 1.381224 |
| 1.39203 | 1.381183 |
| 1.39918 | 1.381142 |
| 1.40637 | 1.381101 |
| 1.4136 | 1.381059 |
| 1.42086 | 1.381017 |
| 1.42816 | 1.380975 |
| 1.4355 | 1.380933 |
| 1.44288 | 1.38089 |
| 1.45029 | 1.380848 |
| 1.45774 | 1.380805 |
| 1.46523 | 1.380761 |
| 1.47276 | 1.380717 |
| 1.48032 | 1.380673 |
| 1.48793 | 1.380629 |
| 1.49557 | 1.380585 |
| 1.50326 | 1.38054 |
| 1.51098 | 1.380495 |
| 1.51875 | 1.380449 |
| 1.52655 | 1.380403 |
| 1.53439 | 1.380357 |
| 1.54228 | 1.380311 |
| 1.5502 | 1.380264 |
| 1.55816 | 1.380217 |
| 1.56617 | 1.380169 |
| 1.57422 | 1.380122 |
| 1.5823 | 1.380074 |
| 1.59043 | 1.380025 |
| 1.59861 | 1.379976 |
| 1.60682 | 1.379927 |
| 1.61507 | 1.379877 |
| 1.62337 | 1.379827 |
| 1.63171 | 1.379777 |
| 1.6401 | 1.379726 |
| 1.64852 | 1.379675 |
| 1.65699 | 1.379623 |
| 1.66551 | 1.379572 |
| 1.67406 | 1.379519 |
| 1.68267 | 1.379466 |
| 1.69131 | 1.379413 |
| 1.7 | 1.379359 |
Optical transmission calculator
Free-standing sample in vacuum, normal incidence- Transmittance T
- —
- Reflectance R
- —
Fresnel reflection calculator
- Rp
- —
- Rs
- —
- R = (Rp+Rs)/2
- —
- Phase φp
- —
- Phase φs
- —
- Brewster angle θB
- —
- Critical angle θC
- —
Extraordinary ray (e). 367.9 °C. The supplementary materials of the original publication contain coefficients of the Sellmeier formula for multiple temperatures in the range of 21 °C to 368 °C.