Optical constants
Refractive index of MgAl2O4 (Magnesium aluminate, spinel)
Tropf and Thomas 1991: n 0.35–5.5 µm
- Data
- formula 1
- Range
- 0.35–5.5 µm
- Licence
- CC0-1.0
Plot
Click the plot to set the calculator wavelength.
At one wavelength
- Refractive index n
- 1.71621
- Extinction coefficient k
- 0
- Permittivity ε1
- 2.94537
- Permittivity ε2
- 0
- Absorption coefficient α
- 0 cm⁻¹
- Penetration depth δ = λ/(2πk)
- — nm
- Abbe number Vd
- 60.667
- Chromatic dispersion dn/dλ
- -0.0611922 µm⁻¹
- Group index ng
- 1.75216
- Group velocity dispersion
- 105.241 fs²/mm
- Dispersion parameter D
- -574.146 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
# MgAl2O4 (Magnesium aluminate, spinel): Tropf and Thomas 1991: n 0.35–5.5 µm
mgal2o4 = ls.fetch_refractiveindex("main", "MgAl2O4", "Tropf", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(mgal2o4.range_nm) # (350, 5500) nm
eps = mgal2o4.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_8b18cffcf24f/lightsmith"
mgal2o4 = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(mgal2o4.source) # citation and provenance travel with the data
Any dataset here, as the library's Tabulated material (mgal2o4/tropf-thomas-1991).
# ... load mgal2o4 as above, then:
sim = ls.Simulation(
particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=mgal2o4)],
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_8b18cffcf24f/lightsmith?model=drude_lorentz"
mgal2o4_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 0.35 to 5.5 µm.
Coefficients as stored
| Ci | Value |
|---|---|
| C1 | 0.0 |
| C2 | 1.8938 |
| C3 | 0.09942 |
| C4 | 3.0755 |
| C5 | 15.826 |
Comments and conditions
- no primary reference in the source file
References
2) Handbook of Optics, 3rd edition, Vol. 4. McGraw-Hill 2009
* Ref. 2 provides improved Sellmeier equation based on data from Ref. 1
Cite
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 |
|---|---|
| 0.35 | 1.748861 |
| 0.352425 | 1.748147 |
| 0.354866 | 1.747444 |
| 0.357324 | 1.746751 |
| 0.3598 | 1.74607 |
| 0.362292 | 1.745399 |
| 0.364802 | 1.744738 |
| 0.367329 | 1.744087 |
| 0.369874 | 1.743446 |
| 0.372436 | 1.742814 |
| 0.375016 | 1.742193 |
| 0.377614 | 1.74158 |
| 0.38023 | 1.740977 |
| 0.382864 | 1.740383 |
| 0.385517 | 1.739798 |
| 0.388187 | 1.739221 |
| 0.390877 | 1.738653 |
| 0.393585 | 1.738094 |
| 0.396311 | 1.737543 |
| 0.399057 | 1.737 |
| 0.401821 | 1.736465 |
| 0.404605 | 1.735938 |
| 0.407408 | 1.735419 |
| 0.41023 | 1.734908 |
| 0.413072 | 1.734403 |
| 0.415933 | 1.733907 |
| 0.418815 | 1.733417 |
| 0.421716 | 1.732935 |
| 0.424638 | 1.73246 |
| 0.427579 | 1.731991 |
| 0.430541 | 1.731529 |
| 0.433524 | 1.731074 |
| 0.436527 | 1.730626 |
| 0.439551 | 1.730184 |
| 0.442596 | 1.729748 |
| 0.445663 | 1.729319 |
| 0.44875 | 1.728895 |
| 0.451859 | 1.728478 |
| 0.454989 | 1.728066 |
| 0.458141 | 1.727661 |
| 0.461315 | 1.727261 |
| 0.464511 | 1.726866 |
| 0.467728 | 1.726478 |
| 0.470969 | 1.726094 |
| 0.474231 | 1.725716 |
| 0.477517 | 1.725343 |
| 0.480825 | 1.724976 |
| 0.484156 | 1.724613 |
| 0.48751 | 1.724256 |
| 0.490887 | 1.723903 |
| 0.494288 | 1.723556 |
| 0.497712 | 1.723213 |
| 0.50116 | 1.722874 |
| 0.504631 | 1.722541 |
| 0.508127 | 1.722211 |
| 0.511647 | 1.721887 |
| 0.515192 | 1.721566 |
| 0.518761 | 1.72125 |
| 0.522355 | 1.720938 |
| 0.525973 | 1.720631 |
| 0.529617 | 1.720327 |
| 0.533286 | 1.720027 |
| 0.53698 | 1.719732 |
| 0.5407 | 1.71944 |
| 0.544446 | 1.719152 |
| 0.548218 | 1.718868 |
| 0.552016 | 1.718587 |
| 0.55584 | 1.718311 |
| 0.55969 | 1.718037 |
| 0.563568 | 1.717768 |
| 0.567472 | 1.717501 |
| 0.571403 | 1.717238 |
| 0.575361 | 1.716979 |
| 0.579347 | 1.716722 |
| 0.583361 | 1.716469 |
| 0.587402 | 1.716219 |
| 0.591471 | 1.715972 |
| 0.595569 | 1.715729 |
| 0.599695 | 1.715488 |
| 0.603849 | 1.71525 |
| 0.608032 | 1.715015 |
| 0.612244 | 1.714783 |
| 0.616486 | 1.714554 |
| 0.620757 | 1.714327 |
| 0.625057 | 1.714103 |
| 0.629387 | 1.713882 |
| 0.633747 | 1.713664 |
| 0.638137 | 1.713448 |
| 0.642558 | 1.713234 |
| 0.64701 | 1.713023 |
| 0.651492 | 1.712814 |
| 0.656005 | 1.712608 |
| 0.66055 | 1.712404 |
| 0.665126 | 1.712203 |
| 0.669733 | 1.712003 |
| 0.674373 | 1.711806 |
| 0.679045 | 1.711611 |
| 0.683749 | 1.711418 |
| 0.688486 | 1.711228 |
| 0.693255 | 1.711039 |
| 0.698058 | 1.710852 |
| 0.702893 | 1.710667 |
| 0.707763 | 1.710485 |
| 0.712666 | 1.710304 |
| 0.717603 | 1.710125 |
| 0.722574 | 1.709947 |
| 0.72758 | 1.709772 |
| 0.73262 | 1.709598 |
| 0.737695 | 1.709426 |
| 0.742806 | 1.709256 |
| 0.747952 | 1.709087 |
| 0.753133 | 1.70892 |
| 0.758351 | 1.708754 |
| 0.763604 | 1.70859 |
| 0.768894 | 1.708427 |
| 0.774221 | 1.708266 |
| 0.779584 | 1.708107 |
| 0.784985 | 1.707948 |
| 0.790423 | 1.707792 |
| 0.795898 | 1.707636 |
| 0.801412 | 1.707482 |
| 0.806964 | 1.707329 |
| 0.812554 | 1.707177 |
| 0.818183 | 1.707027 |
| 0.823851 | 1.706877 |
| 0.829559 | 1.706729 |
| 0.835305 | 1.706582 |
| 0.841092 | 1.706436 |
| 0.846919 | 1.706291 |
| 0.852786 | 1.706147 |
| 0.858694 | 1.706004 |
| 0.864642 | 1.705862 |
| 0.870632 | 1.705721 |
| 0.876664 | 1.705581 |
| 0.882737 | 1.705442 |
| 0.888852 | 1.705304 |
| 0.895009 | 1.705166 |
| 0.90121 | 1.70503 |
| 0.907453 | 1.704894 |
| 0.913739 | 1.704759 |
| 0.920069 | 1.704624 |
| 0.926443 | 1.704491 |
| 0.932861 | 1.704357 |
| 0.939324 | 1.704225 |
| 0.945831 | 1.704093 |
| 0.952383 | 1.703962 |
| 0.958981 | 1.703831 |
| 0.965624 | 1.703701 |
| 0.972314 | 1.703572 |
| 0.979049 | 1.703443 |
| 0.985832 | 1.703314 |
| 0.992661 | 1.703186 |
| 0.999538 | 1.703058 |
| 1.00646 | 1.702931 |
| 1.01343 | 1.702803 |
| 1.02046 | 1.702677 |
| 1.02752 | 1.70255 |
| 1.03464 | 1.702424 |
| 1.04181 | 1.702298 |
| 1.04903 | 1.702173 |
| 1.05629 | 1.702047 |
| 1.06361 | 1.701922 |
| 1.07098 | 1.701797 |
| 1.0784 | 1.701672 |
| 1.08587 | 1.701547 |
| 1.09339 | 1.701422 |
| 1.10097 | 1.701298 |
| 1.10859 | 1.701173 |
| 1.11627 | 1.701048 |
| 1.12401 | 1.700924 |
| 1.13179 | 1.700799 |
| 1.13963 | 1.700674 |
| 1.14753 | 1.700549 |
| 1.15548 | 1.700424 |
| 1.16348 | 1.700299 |
| 1.17154 | 1.700174 |
| 1.17966 | 1.700048 |
| 1.18783 | 1.699923 |
| 1.19606 | 1.699797 |
| 1.20435 | 1.699671 |
| 1.21269 | 1.699544 |
| 1.22109 | 1.699417 |
| 1.22955 | 1.69929 |
| 1.23807 | 1.699163 |
| 1.24664 | 1.699035 |
| 1.25528 | 1.698906 |
| 1.26398 | 1.698778 |
| 1.27273 | 1.698649 |
| 1.28155 | 1.698519 |
| 1.29043 | 1.698389 |
| 1.29937 | 1.698258 |
| 1.30837 | 1.698127 |
| 1.31743 | 1.697995 |
| 1.32656 | 1.697862 |
| 1.33575 | 1.697729 |
| 1.345 | 1.697595 |
| 1.35432 | 1.697461 |
| 1.3637 | 1.697325 |
| 1.37315 | 1.697189 |
| 1.38266 | 1.697052 |
| 1.39224 | 1.696915 |
| 1.40189 | 1.696776 |
| 1.4116 | 1.696637 |
| 1.42138 | 1.696497 |
| 1.43122 | 1.696356 |
| 1.44114 | 1.696214 |
| 1.45112 | 1.69607 |
| 1.46117 | 1.695926 |
| 1.4713 | 1.695781 |
| 1.48149 | 1.695635 |
| 1.49175 | 1.695488 |
| 1.50209 | 1.695339 |
| 1.51249 | 1.69519 |
| 1.52297 | 1.695039 |
| 1.53352 | 1.694887 |
| 1.54414 | 1.694734 |
| 1.55484 | 1.69458 |
| 1.56561 | 1.694424 |
| 1.57646 | 1.694267 |
| 1.58738 | 1.694108 |
| 1.59838 | 1.693948 |
| 1.60945 | 1.693787 |
| 1.6206 | 1.693624 |
| 1.63183 | 1.69346 |
| 1.64313 | 1.693294 |
| 1.65451 | 1.693127 |
| 1.66598 | 1.692958 |
| 1.67752 | 1.692787 |
| 1.68914 | 1.692615 |
| 1.70084 | 1.692441 |
| 1.71262 | 1.692265 |
| 1.72449 | 1.692087 |
| 1.73643 | 1.691908 |
| 1.74846 | 1.691727 |
| 1.76057 | 1.691544 |
| 1.77277 | 1.691359 |
| 1.78505 | 1.691172 |
| 1.79742 | 1.690983 |
| 1.80987 | 1.690792 |
| 1.82241 | 1.690599 |
| 1.83503 | 1.690403 |
| 1.84774 | 1.690206 |
| 1.86055 | 1.690006 |
| 1.87343 | 1.689804 |
| 1.88641 | 1.6896 |
| 1.89948 | 1.689394 |
| 1.91264 | 1.689185 |
| 1.92589 | 1.688973 |
| 1.93923 | 1.68876 |
| 1.95267 | 1.688543 |
| 1.96619 | 1.688324 |
| 1.97981 | 1.688103 |
| 1.99353 | 1.687879 |
| 2.00734 | 1.687652 |
| 2.02125 | 1.687423 |
| 2.03525 | 1.68719 |
| 2.04935 | 1.686955 |
| 2.06354 | 1.686717 |
| 2.07784 | 1.686476 |
| 2.09223 | 1.686232 |
| 2.10673 | 1.685985 |
| 2.12132 | 1.685735 |
| 2.13602 | 1.685481 |
| 2.15082 | 1.685225 |
| 2.16572 | 1.684965 |
| 2.18072 | 1.684702 |
| 2.19583 | 1.684435 |
| 2.21104 | 1.684165 |
| 2.22635 | 1.683892 |
| 2.24178 | 1.683615 |
| 2.25731 | 1.683334 |
| 2.27295 | 1.68305 |
| 2.28869 | 1.682761 |
| 2.30455 | 1.68247 |
| 2.32051 | 1.682174 |
| 2.33659 | 1.681874 |
| 2.35277 | 1.68157 |
| 2.36907 | 1.681263 |
| 2.38548 | 1.680951 |
| 2.40201 | 1.680634 |
| 2.41865 | 1.680314 |
| 2.43541 | 1.679989 |
| 2.45228 | 1.67966 |
| 2.46927 | 1.679326 |
| 2.48637 | 1.678988 |
| 2.5036 | 1.678645 |
| 2.52094 | 1.678297 |
| 2.5384 | 1.677945 |
| 2.55599 | 1.677587 |
| 2.5737 | 1.677225 |
| 2.59152 | 1.676858 |
| 2.60948 | 1.676485 |
| 2.62756 | 1.676107 |
| 2.64576 | 1.675724 |
| 2.66409 | 1.675335 |
| 2.68254 | 1.674941 |
| 2.70113 | 1.674542 |
| 2.71984 | 1.674136 |
| 2.73868 | 1.673725 |
| 2.75765 | 1.673308 |
| 2.77676 | 1.672885 |
| 2.79599 | 1.672456 |
| 2.81536 | 1.672021 |
| 2.83487 | 1.67158 |
| 2.8545 | 1.671132 |
| 2.87428 | 1.670677 |
| 2.89419 | 1.670216 |
| 2.91424 | 1.669749 |
| 2.93443 | 1.669274 |
| 2.95476 | 1.668793 |
| 2.97523 | 1.668304 |
| 2.99584 | 1.667808 |
| 3.01659 | 1.667305 |
| 3.03749 | 1.666795 |
| 3.05853 | 1.666277 |
| 3.07972 | 1.665751 |
| 3.10105 | 1.665217 |
| 3.12254 | 1.664676 |
| 3.14417 | 1.664126 |
| 3.16595 | 1.663569 |
| 3.18788 | 1.663002 |
| 3.20997 | 1.662428 |
| 3.2322 | 1.661844 |
| 3.2546 | 1.661252 |
| 3.27714 | 1.660651 |
| 3.29984 | 1.66004 |
| 3.3227 | 1.659421 |
| 3.34572 | 1.658792 |
| 3.3689 | 1.658153 |
| 3.39224 | 1.657505 |
| 3.41574 | 1.656846 |
| 3.4394 | 1.656178 |
| 3.46323 | 1.655499 |
| 3.48722 | 1.65481 |
| 3.51138 | 1.65411 |
| 3.5357 | 1.653399 |
| 3.5602 | 1.652677 |
| 3.58486 | 1.651944 |
| 3.6097 | 1.651199 |
| 3.6347 | 1.650443 |
| 3.65988 | 1.649675 |
| 3.68524 | 1.648895 |
| 3.71077 | 1.648102 |
| 3.73647 | 1.647297 |
| 3.76236 | 1.646479 |
| 3.78842 | 1.645648 |
| 3.81466 | 1.644804 |
| 3.84109 | 1.643947 |
| 3.8677 | 1.643076 |
| 3.89449 | 1.64219 |
| 3.92147 | 1.641291 |
| 3.94864 | 1.640377 |
| 3.97599 | 1.639448 |
| 4.00354 | 1.638504 |
| 4.03127 | 1.637545 |
| 4.0592 | 1.63657 |
| 4.08732 | 1.635579 |
| 4.11564 | 1.634572 |
| 4.14415 | 1.633549 |
| 4.17286 | 1.632508 |
| 4.20176 | 1.631451 |
| 4.23087 | 1.630376 |
| 4.26018 | 1.629283 |
| 4.28969 | 1.628172 |
| 4.31941 | 1.627042 |
| 4.34933 | 1.625893 |
| 4.37946 | 1.624725 |
| 4.4098 | 1.623538 |
| 4.44035 | 1.62233 |
| 4.47111 | 1.621102 |
| 4.50209 | 1.619853 |
| 4.53328 | 1.618582 |
| 4.56468 | 1.61729 |
| 4.5963 | 1.615976 |
| 4.62814 | 1.614639 |
| 4.66021 | 1.613279 |
| 4.69249 | 1.611895 |
| 4.725 | 1.610487 |
| 4.75773 | 1.609055 |
| 4.79069 | 1.607597 |
| 4.82388 | 1.606114 |
| 4.8573 | 1.604605 |
| 4.89094 | 1.603069 |
| 4.92483 | 1.601505 |
| 4.95894 | 1.599914 |
| 4.9933 | 1.598294 |
| 5.02789 | 1.596645 |
| 5.06272 | 1.594967 |
| 5.09779 | 1.593257 |
| 5.13311 | 1.591517 |
| 5.16867 | 1.589745 |
| 5.20447 | 1.587941 |
| 5.24053 | 1.586103 |
| 5.27683 | 1.584231 |
| 5.31339 | 1.582325 |
| 5.3502 | 1.580383 |
| 5.38726 | 1.578404 |
| 5.42458 | 1.576389 |
| 5.46216 | 1.574335 |
| 5.5 | 1.572242 |
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
- —
Room temperature