Optical constants
Refractive index of MgO (Magnesium monoxide)
Stephens and Malitson 1952: n 0.405–0.768 µm
- Data
- formula 4
- Range
- 0.4047–0.7679 µm
- Licence
- CC0-1.0
Plot
Click the plot to set the calculator wavelength.
At one wavelength
- Refractive index n
- 1.7376
- Extinction coefficient k
- 0
- Permittivity ε1
- 3.01924
- Permittivity ε2
- 0
- Absorption coefficient α
- 0 cm⁻¹
- Penetration depth δ = λ/(2πk)
- — nm
- Abbe number Vd
- 53.508
- Chromatic dispersion dn/dλ
- -0.070895 µm⁻¹
- Group index ng
- 1.77925
- Group velocity dispersion
- 128.564 fs²/mm
- Dispersion parameter D
- -701.386 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
# MgO (Magnesium monoxide): Stephens and Malitson 1952: n 0.405–0.768 µm
mgo = ls.fetch_refractiveindex("main", "MgO", "Stephens-vis", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(mgo.range_nm) # (404.7, 767.9) nm
eps = mgo.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_99900b4c40fb/lightsmith"
mgo = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(mgo.source) # citation and provenance travel with the data
Any dataset here, as the library's Tabulated material (mgo/stephens-malitson-1952-vis).
# ... load mgo as above, then:
sim = ls.Simulation(
particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=mgo)],
medium_index=1.0,
wavelengths=ls.WavelengthRange(start_nm=405, stop_nm=767, 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.
Dispersion formula
RefractiveIndex.INFO (formula 4), λ in µmValid from 0.4047 to 0.7679 µm.
Coefficients as stored
| Ci | Value |
|---|---|
| C1 | 2.957019 |
| C2 | 0.0216485 |
| C3 | 0.0 |
| C4 | 0.015865 |
| C5 | 1.0 |
| C6 | 0.0 |
| C7 | 0.0 |
| C8 | 0.0 |
| C9 | 1.0 |
| C10 | -0.0101373 |
| C11 | 2.0 |
Comments and conditions
References
- doi:10.6028/jres.049.025 Index of refraction of magnesium oxide, Journal of Research of the National Bureau of Standards (1952)
Cite
R.E. Stephens and I.H. Malitson. Index of refraction of magnesium oxide. Journal of Research of the National Bureau of Standards, 49, 249 (1952), doi:10.6028/jres.049.025; 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 |
|---|---|
| 0.4047 | 1.761168 |
| 0.40535 | 1.76102 |
| 0.406001 | 1.760871 |
| 0.406654 | 1.760723 |
| 0.407307 | 1.760576 |
| 0.407961 | 1.760429 |
| 0.408617 | 1.760283 |
| 0.409273 | 1.760137 |
| 0.409931 | 1.759992 |
| 0.410589 | 1.759848 |
| 0.411249 | 1.759704 |
| 0.41191 | 1.75956 |
| 0.412572 | 1.759417 |
| 0.413234 | 1.759275 |
| 0.413898 | 1.759133 |
| 0.414563 | 1.758992 |
| 0.415229 | 1.758851 |
| 0.415896 | 1.75871 |
| 0.416565 | 1.758571 |
| 0.417234 | 1.758431 |
| 0.417904 | 1.758292 |
| 0.418576 | 1.758154 |
| 0.419248 | 1.758016 |
| 0.419922 | 1.757879 |
| 0.420596 | 1.757742 |
| 0.421272 | 1.757606 |
| 0.421949 | 1.75747 |
| 0.422627 | 1.757335 |
| 0.423306 | 1.7572 |
| 0.423986 | 1.757066 |
| 0.424667 | 1.756932 |
| 0.425349 | 1.756799 |
| 0.426032 | 1.756666 |
| 0.426717 | 1.756534 |
| 0.427402 | 1.756402 |
| 0.428089 | 1.756271 |
| 0.428777 | 1.75614 |
| 0.429466 | 1.756009 |
| 0.430156 | 1.75588 |
| 0.430847 | 1.75575 |
| 0.431539 | 1.755621 |
| 0.432232 | 1.755493 |
| 0.432927 | 1.755365 |
| 0.433622 | 1.755237 |
| 0.434319 | 1.75511 |
| 0.435017 | 1.754983 |
| 0.435716 | 1.754857 |
| 0.436416 | 1.754731 |
| 0.437117 | 1.754606 |
| 0.437819 | 1.754481 |
| 0.438522 | 1.754357 |
| 0.439227 | 1.754233 |
| 0.439933 | 1.754109 |
| 0.440639 | 1.753986 |
| 0.441347 | 1.753864 |
| 0.442056 | 1.753742 |
| 0.442767 | 1.75362 |
| 0.443478 | 1.753499 |
| 0.44419 | 1.753378 |
| 0.444904 | 1.753257 |
| 0.445619 | 1.753137 |
| 0.446335 | 1.753018 |
| 0.447052 | 1.752899 |
| 0.44777 | 1.75278 |
| 0.448489 | 1.752662 |
| 0.44921 | 1.752544 |
| 0.449932 | 1.752427 |
| 0.450654 | 1.75231 |
| 0.451379 | 1.752193 |
| 0.452104 | 1.752077 |
| 0.45283 | 1.751961 |
| 0.453558 | 1.751846 |
| 0.454286 | 1.751731 |
| 0.455016 | 1.751616 |
| 0.455747 | 1.751502 |
| 0.456479 | 1.751388 |
| 0.457213 | 1.751275 |
| 0.457947 | 1.751162 |
| 0.458683 | 1.75105 |
| 0.45942 | 1.750938 |
| 0.460158 | 1.750826 |
| 0.460897 | 1.750715 |
| 0.461638 | 1.750604 |
| 0.462379 | 1.750493 |
| 0.463122 | 1.750383 |
| 0.463866 | 1.750273 |
| 0.464612 | 1.750164 |
| 0.465358 | 1.750055 |
| 0.466106 | 1.749946 |
| 0.466854 | 1.749838 |
| 0.467604 | 1.74973 |
| 0.468356 | 1.749623 |
| 0.469108 | 1.749516 |
| 0.469862 | 1.749409 |
| 0.470617 | 1.749303 |
| 0.471373 | 1.749197 |
| 0.47213 | 1.749091 |
| 0.472889 | 1.748986 |
| 0.473648 | 1.748881 |
| 0.474409 | 1.748777 |
| 0.475171 | 1.748673 |
| 0.475935 | 1.748569 |
| 0.4767 | 1.748466 |
| 0.477465 | 1.748363 |
| 0.478232 | 1.74826 |
| 0.479001 | 1.748158 |
| 0.47977 | 1.748056 |
| 0.480541 | 1.747954 |
| 0.481313 | 1.747853 |
| 0.482086 | 1.747752 |
| 0.482861 | 1.747651 |
| 0.483637 | 1.747551 |
| 0.484414 | 1.747451 |
| 0.485192 | 1.747352 |
| 0.485971 | 1.747253 |
| 0.486752 | 1.747154 |
| 0.487534 | 1.747055 |
| 0.488317 | 1.746957 |
| 0.489102 | 1.746859 |
| 0.489888 | 1.746762 |
| 0.490675 | 1.746665 |
| 0.491463 | 1.746568 |
| 0.492253 | 1.746472 |
| 0.493044 | 1.746375 |
| 0.493836 | 1.74628 |
| 0.494629 | 1.746184 |
| 0.495424 | 1.746089 |
| 0.49622 | 1.745994 |
| 0.497017 | 1.7459 |
| 0.497815 | 1.745806 |
| 0.498615 | 1.745712 |
| 0.499416 | 1.745618 |
| 0.500219 | 1.745525 |
| 0.501022 | 1.745432 |
| 0.501827 | 1.74534 |
| 0.502633 | 1.745247 |
| 0.503441 | 1.745155 |
| 0.50425 | 1.745064 |
| 0.50506 | 1.744973 |
| 0.505871 | 1.744882 |
| 0.506684 | 1.744791 |
| 0.507498 | 1.7447 |
| 0.508313 | 1.74461 |
| 0.50913 | 1.744521 |
| 0.509948 | 1.744431 |
| 0.510767 | 1.744342 |
| 0.511588 | 1.744253 |
| 0.51241 | 1.744165 |
| 0.513233 | 1.744076 |
| 0.514058 | 1.743988 |
| 0.514883 | 1.743901 |
| 0.515711 | 1.743813 |
| 0.516539 | 1.743726 |
| 0.517369 | 1.743639 |
| 0.5182 | 1.743553 |
| 0.519033 | 1.743467 |
| 0.519867 | 1.743381 |
| 0.520702 | 1.743295 |
| 0.521538 | 1.74321 |
| 0.522376 | 1.743125 |
| 0.523216 | 1.74304 |
| 0.524056 | 1.742956 |
| 0.524898 | 1.742871 |
| 0.525741 | 1.742787 |
| 0.526586 | 1.742704 |
| 0.527432 | 1.74262 |
| 0.528279 | 1.742537 |
| 0.529128 | 1.742455 |
| 0.529978 | 1.742372 |
| 0.53083 | 1.74229 |
| 0.531683 | 1.742208 |
| 0.532537 | 1.742126 |
| 0.533392 | 1.742045 |
| 0.534249 | 1.741964 |
| 0.535108 | 1.741883 |
| 0.535967 | 1.741802 |
| 0.536828 | 1.741722 |
| 0.537691 | 1.741642 |
| 0.538555 | 1.741562 |
| 0.53942 | 1.741482 |
| 0.540286 | 1.741403 |
| 0.541154 | 1.741324 |
| 0.542024 | 1.741245 |
| 0.542895 | 1.741166 |
| 0.543767 | 1.741088 |
| 0.544641 | 1.74101 |
| 0.545516 | 1.740932 |
| 0.546392 | 1.740855 |
| 0.54727 | 1.740778 |
| 0.548149 | 1.740701 |
| 0.54903 | 1.740624 |
| 0.549912 | 1.740547 |
| 0.550795 | 1.740471 |
| 0.55168 | 1.740395 |
| 0.552566 | 1.740319 |
| 0.553454 | 1.740244 |
| 0.554343 | 1.740169 |
| 0.555234 | 1.740094 |
| 0.556126 | 1.740019 |
| 0.557019 | 1.739944 |
| 0.557914 | 1.73987 |
| 0.558811 | 1.739796 |
| 0.559708 | 1.739722 |
| 0.560608 | 1.739649 |
| 0.561508 | 1.739575 |
| 0.56241 | 1.739502 |
| 0.563314 | 1.739429 |
| 0.564219 | 1.739357 |
| 0.565125 | 1.739284 |
| 0.566033 | 1.739212 |
| 0.566943 | 1.73914 |
| 0.567854 | 1.739069 |
| 0.568766 | 1.738997 |
| 0.56968 | 1.738926 |
| 0.570595 | 1.738855 |
| 0.571512 | 1.738784 |
| 0.57243 | 1.738714 |
| 0.57335 | 1.738643 |
| 0.574271 | 1.738573 |
| 0.575193 | 1.738503 |
| 0.576117 | 1.738434 |
| 0.577043 | 1.738364 |
| 0.57797 | 1.738295 |
| 0.578899 | 1.738226 |
| 0.579829 | 1.738157 |
| 0.58076 | 1.738089 |
| 0.581693 | 1.738021 |
| 0.582628 | 1.737952 |
| 0.583564 | 1.737885 |
| 0.584501 | 1.737817 |
| 0.58544 | 1.737749 |
| 0.586381 | 1.737682 |
| 0.587323 | 1.737615 |
| 0.588267 | 1.737548 |
| 0.589212 | 1.737482 |
| 0.590158 | 1.737415 |
| 0.591106 | 1.737349 |
| 0.592056 | 1.737283 |
| 0.593007 | 1.737217 |
| 0.59396 | 1.737152 |
| 0.594914 | 1.737086 |
| 0.59587 | 1.737021 |
| 0.596827 | 1.736956 |
| 0.597786 | 1.736891 |
| 0.598747 | 1.736827 |
| 0.599709 | 1.736763 |
| 0.600672 | 1.736698 |
| 0.601637 | 1.736634 |
| 0.602604 | 1.736571 |
| 0.603572 | 1.736507 |
| 0.604541 | 1.736444 |
| 0.605513 | 1.736381 |
| 0.606486 | 1.736318 |
| 0.60746 | 1.736255 |
| 0.608436 | 1.736192 |
| 0.609413 | 1.73613 |
| 0.610392 | 1.736068 |
| 0.611373 | 1.736006 |
| 0.612355 | 1.735944 |
| 0.613339 | 1.735882 |
| 0.614324 | 1.735821 |
| 0.615311 | 1.735759 |
| 0.6163 | 1.735698 |
| 0.61729 | 1.735638 |
| 0.618282 | 1.735577 |
| 0.619275 | 1.735516 |
| 0.62027 | 1.735456 |
| 0.621267 | 1.735396 |
| 0.622265 | 1.735336 |
| 0.623264 | 1.735276 |
| 0.624266 | 1.735217 |
| 0.625269 | 1.735157 |
| 0.626273 | 1.735098 |
| 0.627279 | 1.735039 |
| 0.628287 | 1.73498 |
| 0.629297 | 1.734921 |
| 0.630308 | 1.734863 |
| 0.63132 | 1.734804 |
| 0.632335 | 1.734746 |
| 0.63335 | 1.734688 |
| 0.634368 | 1.73463 |
| 0.635387 | 1.734573 |
| 0.636408 | 1.734515 |
| 0.63743 | 1.734458 |
| 0.638454 | 1.734401 |
| 0.63948 | 1.734344 |
| 0.640508 | 1.734287 |
| 0.641537 | 1.734231 |
| 0.642567 | 1.734174 |
| 0.6436 | 1.734118 |
| 0.644634 | 1.734062 |
| 0.645669 | 1.734006 |
| 0.646707 | 1.73395 |
| 0.647746 | 1.733894 |
| 0.648786 | 1.733839 |
| 0.649829 | 1.733784 |
| 0.650873 | 1.733728 |
| 0.651918 | 1.733674 |
| 0.652966 | 1.733619 |
| 0.654015 | 1.733564 |
| 0.655065 | 1.73351 |
| 0.656118 | 1.733455 |
| 0.657172 | 1.733401 |
| 0.658228 | 1.733347 |
| 0.659285 | 1.733293 |
| 0.660344 | 1.73324 |
| 0.661405 | 1.733186 |
| 0.662468 | 1.733133 |
| 0.663532 | 1.733079 |
| 0.664598 | 1.733026 |
| 0.665666 | 1.732973 |
| 0.666735 | 1.732921 |
| 0.667807 | 1.732868 |
| 0.66888 | 1.732816 |
| 0.669954 | 1.732763 |
| 0.67103 | 1.732711 |
| 0.672109 | 1.732659 |
| 0.673188 | 1.732607 |
| 0.67427 | 1.732556 |
| 0.675353 | 1.732504 |
| 0.676438 | 1.732453 |
| 0.677525 | 1.732401 |
| 0.678613 | 1.73235 |
| 0.679704 | 1.732299 |
| 0.680796 | 1.732248 |
| 0.681889 | 1.732198 |
| 0.682985 | 1.732147 |
| 0.684082 | 1.732097 |
| 0.685181 | 1.732046 |
| 0.686282 | 1.731996 |
| 0.687385 | 1.731946 |
| 0.688489 | 1.731897 |
| 0.689595 | 1.731847 |
| 0.690703 | 1.731797 |
| 0.691813 | 1.731748 |
| 0.692924 | 1.731699 |
| 0.694037 | 1.731649 |
| 0.695152 | 1.7316 |
| 0.696269 | 1.731552 |
| 0.697388 | 1.731503 |
| 0.698508 | 1.731454 |
| 0.69963 | 1.731406 |
| 0.700754 | 1.731357 |
| 0.70188 | 1.731309 |
| 0.703008 | 1.731261 |
| 0.704137 | 1.731213 |
| 0.705269 | 1.731165 |
| 0.706402 | 1.731118 |
| 0.707537 | 1.73107 |
| 0.708673 | 1.731023 |
| 0.709812 | 1.730975 |
| 0.710952 | 1.730928 |
| 0.712094 | 1.730881 |
| 0.713238 | 1.730834 |
| 0.714384 | 1.730788 |
| 0.715532 | 1.730741 |
| 0.716682 | 1.730694 |
| 0.717833 | 1.730648 |
| 0.718986 | 1.730602 |
| 0.720141 | 1.730556 |
| 0.721298 | 1.73051 |
| 0.722457 | 1.730464 |
| 0.723618 | 1.730418 |
| 0.72478 | 1.730372 |
| 0.725945 | 1.730327 |
| 0.727111 | 1.730281 |
| 0.728279 | 1.730236 |
| 0.729449 | 1.730191 |
| 0.730621 | 1.730146 |
| 0.731795 | 1.730101 |
| 0.732971 | 1.730056 |
| 0.734148 | 1.730011 |
| 0.735328 | 1.729967 |
| 0.736509 | 1.729922 |
| 0.737693 | 1.729878 |
| 0.738878 | 1.729834 |
| 0.740065 | 1.72979 |
| 0.741254 | 1.729746 |
| 0.742445 | 1.729702 |
| 0.743637 | 1.729658 |
| 0.744832 | 1.729614 |
| 0.746029 | 1.729571 |
| 0.747227 | 1.729527 |
| 0.748428 | 1.729484 |
| 0.74963 | 1.729441 |
| 0.750835 | 1.729398 |
| 0.752041 | 1.729355 |
| 0.753249 | 1.729312 |
| 0.754459 | 1.729269 |
| 0.755671 | 1.729226 |
| 0.756885 | 1.729184 |
| 0.758101 | 1.729141 |
| 0.759319 | 1.729099 |
| 0.760539 | 1.729057 |
| 0.761761 | 1.729015 |
| 0.762985 | 1.728973 |
| 0.764211 | 1.728931 |
| 0.765439 | 1.728889 |
| 0.766668 | 1.728847 |
| 0.7679 | 1.728806 |
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
- —
30 °C. This formula gives more accurate values for visible than the other formula describing the entire transmission range.