Optical constants
Refractive index of (C5H8O2)n (Poly(methyl methacrylate), PMMA)
Sultanova et al. 2009: n 0.437–1.052 µm
- Data
- formula 2
- Range
- 0.4368–1.052 µm
- Temperature
- 293 K
- Licence
- CC0-1.0
Plot
Click the plot to set the calculator wavelength.
At one wavelength
- Refractive index n
- 1.49062
- Extinction coefficient k
- 0
- Permittivity ε1
- 2.22194
- Permittivity ε2
- 0
- Absorption coefficient α
- 0 cm⁻¹
- Penetration depth δ = λ/(2πk)
- — nm
- Abbe number Vd
- 53.176
- Chromatic dispersion dn/dλ
- -0.0472589 µm⁻¹
- Group index ng
- 1.51839
- Group velocity dispersion
- 90.0627 fs²/mm
- Dispersion parameter D
- -491.34 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
# (C5H8O2)n (Poly(methyl methacrylate), PMMA): Sultanova et al. 2009: n 0.437–1.052 µm
mat = ls.fetch_refractiveindex("organic", "poly_methyl_methacrylate", "Sultanova", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(mat.range_nm) # (436.8, 1052) nm
eps = mat.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_181f877ceea4/lightsmith"
mat = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(mat.source) # citation and provenance travel with the data
Any dataset here, as the library's Tabulated material (poly-methyl-methacrylate/sultanova-2009).
# ... load mat as above, then:
sim = ls.Simulation(
particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=mat)],
medium_index=1.0,
wavelengths=ls.WavelengthRange(start_nm=437, 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_181f877ceea4/lightsmith?model=drude_lorentz"
mat_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 (C in µm²) (formula 2), λ in µmValid from 0.4368 to 1.052 µm.
Coefficients as stored
| Ci | Value |
|---|---|
| C1 | 0.0 |
| C2 | 1.1819 |
| C3 | 0.011313 |
Comments and conditions
Conditions
- temperature
- 293 K
References
(fit of the experimental data with the Sellmeier dispersion formula: Mikhail Polyanskiy)
Cite
N. Sultanova, S. Kasarova, I. Nikolov. Dispersion properties of optical polymers. Acta Physica Polonica A 116, 585-587 (2009); 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 |
|---|---|
| 0.4368 | 1.502131 |
| 0.437763 | 1.502015 |
| 0.438729 | 1.5019 |
| 0.439696 | 1.501785 |
| 0.440666 | 1.501671 |
| 0.441638 | 1.501557 |
| 0.442612 | 1.501444 |
| 0.443588 | 1.501332 |
| 0.444566 | 1.50122 |
| 0.445547 | 1.501108 |
| 0.446529 | 1.500997 |
| 0.447514 | 1.500887 |
| 0.448501 | 1.500777 |
| 0.44949 | 1.500668 |
| 0.450481 | 1.500559 |
| 0.451475 | 1.500451 |
| 0.45247 | 1.500343 |
| 0.453468 | 1.500236 |
| 0.454468 | 1.500129 |
| 0.455471 | 1.500023 |
| 0.456475 | 1.499918 |
| 0.457482 | 1.499812 |
| 0.458491 | 1.499708 |
| 0.459502 | 1.499604 |
| 0.460515 | 1.4995 |
| 0.461531 | 1.499397 |
| 0.462549 | 1.499294 |
| 0.463569 | 1.499192 |
| 0.464591 | 1.499091 |
| 0.465616 | 1.49899 |
| 0.466643 | 1.498889 |
| 0.467672 | 1.498789 |
| 0.468703 | 1.498689 |
| 0.469737 | 1.49859 |
| 0.470773 | 1.498491 |
| 0.471811 | 1.498393 |
| 0.472851 | 1.498295 |
| 0.473894 | 1.498198 |
| 0.474939 | 1.498101 |
| 0.475987 | 1.498005 |
| 0.477037 | 1.497909 |
| 0.478089 | 1.497813 |
| 0.479143 | 1.497718 |
| 0.4802 | 1.497624 |
| 0.481259 | 1.49753 |
| 0.48232 | 1.497436 |
| 0.483384 | 1.497343 |
| 0.48445 | 1.49725 |
| 0.485518 | 1.497158 |
| 0.486589 | 1.497066 |
| 0.487662 | 1.496974 |
| 0.488737 | 1.496883 |
| 0.489815 | 1.496793 |
| 0.490895 | 1.496703 |
| 0.491978 | 1.496613 |
| 0.493063 | 1.496524 |
| 0.49415 | 1.496435 |
| 0.49524 | 1.496346 |
| 0.496332 | 1.496258 |
| 0.497427 | 1.496171 |
| 0.498524 | 1.496084 |
| 0.499623 | 1.495997 |
| 0.500725 | 1.495911 |
| 0.50183 | 1.495825 |
| 0.502936 | 1.495739 |
| 0.504045 | 1.495654 |
| 0.505157 | 1.495569 |
| 0.506271 | 1.495485 |
| 0.507388 | 1.495401 |
| 0.508507 | 1.495318 |
| 0.509628 | 1.495234 |
| 0.510752 | 1.495152 |
| 0.511878 | 1.495069 |
| 0.513007 | 1.494988 |
| 0.514139 | 1.494906 |
| 0.515273 | 1.494825 |
| 0.516409 | 1.494744 |
| 0.517548 | 1.494664 |
| 0.518689 | 1.494584 |
| 0.519833 | 1.494504 |
| 0.520979 | 1.494425 |
| 0.522128 | 1.494346 |
| 0.52328 | 1.494267 |
| 0.524434 | 1.494189 |
| 0.52559 | 1.494111 |
| 0.52675 | 1.494034 |
| 0.527911 | 1.493957 |
| 0.529076 | 1.49388 |
| 0.530242 | 1.493804 |
| 0.531412 | 1.493728 |
| 0.532584 | 1.493652 |
| 0.533758 | 1.493577 |
| 0.534935 | 1.493502 |
| 0.536115 | 1.493428 |
| 0.537297 | 1.493354 |
| 0.538482 | 1.49328 |
| 0.53967 | 1.493206 |
| 0.54086 | 1.493133 |
| 0.542053 | 1.49306 |
| 0.543248 | 1.492988 |
| 0.544446 | 1.492916 |
| 0.545647 | 1.492844 |
| 0.54685 | 1.492772 |
| 0.548056 | 1.492701 |
| 0.549265 | 1.492631 |
| 0.550476 | 1.49256 |
| 0.55169 | 1.49249 |
| 0.552907 | 1.49242 |
| 0.554126 | 1.492351 |
| 0.555349 | 1.492282 |
| 0.556573 | 1.492213 |
| 0.557801 | 1.492144 |
| 0.559031 | 1.492076 |
| 0.560264 | 1.492008 |
| 0.561499 | 1.491941 |
| 0.562738 | 1.491874 |
| 0.563979 | 1.491807 |
| 0.565222 | 1.49174 |
| 0.566469 | 1.491674 |
| 0.567718 | 1.491608 |
| 0.56897 | 1.491542 |
| 0.570225 | 1.491477 |
| 0.571483 | 1.491412 |
| 0.572743 | 1.491347 |
| 0.574006 | 1.491283 |
| 0.575272 | 1.491219 |
| 0.576541 | 1.491155 |
| 0.577812 | 1.491091 |
| 0.579086 | 1.491028 |
| 0.580364 | 1.490965 |
| 0.581643 | 1.490902 |
| 0.582926 | 1.49084 |
| 0.584212 | 1.490778 |
| 0.5855 | 1.490716 |
| 0.586791 | 1.490655 |
| 0.588085 | 1.490593 |
| 0.589382 | 1.490533 |
| 0.590682 | 1.490472 |
| 0.591985 | 1.490412 |
| 0.59329 | 1.490351 |
| 0.594599 | 1.490292 |
| 0.59591 | 1.490232 |
| 0.597224 | 1.490173 |
| 0.598541 | 1.490114 |
| 0.599861 | 1.490055 |
| 0.601184 | 1.489997 |
| 0.60251 | 1.489939 |
| 0.603839 | 1.489881 |
| 0.605171 | 1.489823 |
| 0.606505 | 1.489766 |
| 0.607843 | 1.489709 |
| 0.609183 | 1.489652 |
| 0.610527 | 1.489595 |
| 0.611873 | 1.489539 |
| 0.613223 | 1.489483 |
| 0.614575 | 1.489427 |
| 0.61593 | 1.489372 |
| 0.617289 | 1.489316 |
| 0.61865 | 1.489261 |
| 0.620014 | 1.489207 |
| 0.621382 | 1.489152 |
| 0.622752 | 1.489098 |
| 0.624126 | 1.489044 |
| 0.625502 | 1.48899 |
| 0.626882 | 1.488937 |
| 0.628264 | 1.488884 |
| 0.62965 | 1.488831 |
| 0.631038 | 1.488778 |
| 0.63243 | 1.488725 |
| 0.633825 | 1.488673 |
| 0.635222 | 1.488621 |
| 0.636623 | 1.488569 |
| 0.638027 | 1.488518 |
| 0.639434 | 1.488466 |
| 0.640845 | 1.488415 |
| 0.642258 | 1.488364 |
| 0.643674 | 1.488314 |
| 0.645094 | 1.488263 |
| 0.646516 | 1.488213 |
| 0.647942 | 1.488163 |
| 0.649371 | 1.488114 |
| 0.650803 | 1.488064 |
| 0.652239 | 1.488015 |
| 0.653677 | 1.487966 |
| 0.655119 | 1.487917 |
| 0.656563 | 1.487869 |
| 0.658011 | 1.48782 |
| 0.659463 | 1.487772 |
| 0.660917 | 1.487724 |
| 0.662374 | 1.487677 |
| 0.663835 | 1.487629 |
| 0.665299 | 1.487582 |
| 0.666766 | 1.487535 |
| 0.668237 | 1.487488 |
| 0.669711 | 1.487442 |
| 0.671188 | 1.487395 |
| 0.672668 | 1.487349 |
| 0.674151 | 1.487303 |
| 0.675638 | 1.487258 |
| 0.677128 | 1.487212 |
| 0.678621 | 1.487167 |
| 0.680118 | 1.487122 |
| 0.681618 | 1.487077 |
| 0.683121 | 1.487032 |
| 0.684628 | 1.486988 |
| 0.686138 | 1.486943 |
| 0.687651 | 1.486899 |
| 0.689167 | 1.486855 |
| 0.690687 | 1.486812 |
| 0.69221 | 1.486768 |
| 0.693737 | 1.486725 |
| 0.695267 | 1.486682 |
| 0.6968 | 1.486639 |
| 0.698337 | 1.486596 |
| 0.699877 | 1.486554 |
| 0.70142 | 1.486512 |
| 0.702967 | 1.486469 |
| 0.704518 | 1.486428 |
| 0.706071 | 1.486386 |
| 0.707628 | 1.486344 |
| 0.709189 | 1.486303 |
| 0.710753 | 1.486262 |
| 0.712321 | 1.486221 |
| 0.713892 | 1.48618 |
| 0.715466 | 1.48614 |
| 0.717044 | 1.486099 |
| 0.718625 | 1.486059 |
| 0.72021 | 1.486019 |
| 0.721798 | 1.485979 |
| 0.72339 | 1.485939 |
| 0.724985 | 1.4859 |
| 0.726584 | 1.485861 |
| 0.728187 | 1.485821 |
| 0.729793 | 1.485783 |
| 0.731402 | 1.485744 |
| 0.733015 | 1.485705 |
| 0.734632 | 1.485667 |
| 0.736252 | 1.485629 |
| 0.737875 | 1.48559 |
| 0.739503 | 1.485553 |
| 0.741134 | 1.485515 |
| 0.742768 | 1.485477 |
| 0.744406 | 1.48544 |
| 0.746048 | 1.485403 |
| 0.747693 | 1.485366 |
| 0.749342 | 1.485329 |
| 0.750995 | 1.485292 |
| 0.752651 | 1.485256 |
| 0.754311 | 1.485219 |
| 0.755974 | 1.485183 |
| 0.757642 | 1.485147 |
| 0.759312 | 1.485111 |
| 0.760987 | 1.485075 |
| 0.762665 | 1.48504 |
| 0.764347 | 1.485004 |
| 0.766033 | 1.484969 |
| 0.767722 | 1.484934 |
| 0.769415 | 1.484899 |
| 0.771112 | 1.484865 |
| 0.772813 | 1.48483 |
| 0.774517 | 1.484796 |
| 0.776225 | 1.484761 |
| 0.777937 | 1.484727 |
| 0.779653 | 1.484693 |
| 0.781372 | 1.484659 |
| 0.783095 | 1.484626 |
| 0.784822 | 1.484592 |
| 0.786553 | 1.484559 |
| 0.788288 | 1.484526 |
| 0.790026 | 1.484493 |
| 0.791769 | 1.48446 |
| 0.793515 | 1.484427 |
| 0.795265 | 1.484394 |
| 0.797019 | 1.484362 |
| 0.798776 | 1.48433 |
| 0.800538 | 1.484297 |
| 0.802303 | 1.484265 |
| 0.804073 | 1.484234 |
| 0.805846 | 1.484202 |
| 0.807623 | 1.48417 |
| 0.809404 | 1.484139 |
| 0.811189 | 1.484107 |
| 0.812978 | 1.484076 |
| 0.814771 | 1.484045 |
| 0.816568 | 1.484014 |
| 0.818369 | 1.483984 |
| 0.820174 | 1.483953 |
| 0.821983 | 1.483923 |
| 0.823795 | 1.483892 |
| 0.825612 | 1.483862 |
| 0.827433 | 1.483832 |
| 0.829258 | 1.483802 |
| 0.831086 | 1.483772 |
| 0.832919 | 1.483743 |
| 0.834756 | 1.483713 |
| 0.836597 | 1.483684 |
| 0.838442 | 1.483655 |
| 0.840291 | 1.483626 |
| 0.842144 | 1.483597 |
| 0.844002 | 1.483568 |
| 0.845863 | 1.483539 |
| 0.847728 | 1.48351 |
| 0.849598 | 1.483482 |
| 0.851472 | 1.483454 |
| 0.853349 | 1.483425 |
| 0.855231 | 1.483397 |
| 0.857117 | 1.483369 |
| 0.859008 | 1.483342 |
| 0.860902 | 1.483314 |
| 0.862801 | 1.483286 |
| 0.864704 | 1.483259 |
| 0.866611 | 1.483232 |
| 0.868522 | 1.483204 |
| 0.870437 | 1.483177 |
| 0.872357 | 1.48315 |
| 0.874281 | 1.483124 |
| 0.876209 | 1.483097 |
| 0.878141 | 1.48307 |
| 0.880078 | 1.483044 |
| 0.882019 | 1.483017 |
| 0.883964 | 1.482991 |
| 0.885913 | 1.482965 |
| 0.887867 | 1.482939 |
| 0.889825 | 1.482913 |
| 0.891788 | 1.482887 |
| 0.893754 | 1.482862 |
| 0.895725 | 1.482836 |
| 0.897701 | 1.482811 |
| 0.89968 | 1.482786 |
| 0.901665 | 1.48276 |
| 0.903653 | 1.482735 |
| 0.905646 | 1.48271 |
| 0.907643 | 1.482686 |
| 0.909645 | 1.482661 |
| 0.911651 | 1.482636 |
| 0.913662 | 1.482612 |
| 0.915677 | 1.482587 |
| 0.917696 | 1.482563 |
| 0.91972 | 1.482539 |
| 0.921748 | 1.482515 |
| 0.923781 | 1.482491 |
| 0.925818 | 1.482467 |
| 0.92786 | 1.482443 |
| 0.929906 | 1.482419 |
| 0.931957 | 1.482396 |
| 0.934012 | 1.482373 |
| 0.936072 | 1.482349 |
| 0.938137 | 1.482326 |
| 0.940205 | 1.482303 |
| 0.942279 | 1.48228 |
| 0.944357 | 1.482257 |
| 0.94644 | 1.482234 |
| 0.948527 | 1.482211 |
| 0.950619 | 1.482189 |
| 0.952715 | 1.482166 |
| 0.954816 | 1.482144 |
| 0.956922 | 1.482122 |
| 0.959032 | 1.482099 |
| 0.961147 | 1.482077 |
| 0.963267 | 1.482055 |
| 0.965392 | 1.482033 |
| 0.967521 | 1.482012 |
| 0.969654 | 1.48199 |
| 0.971793 | 1.481968 |
| 0.973936 | 1.481947 |
| 0.976084 | 1.481925 |
| 0.978236 | 1.481904 |
| 0.980394 | 1.481883 |
| 0.982556 | 1.481862 |
| 0.984723 | 1.481841 |
| 0.986894 | 1.48182 |
| 0.989071 | 1.481799 |
| 0.991252 | 1.481778 |
| 0.993438 | 1.481757 |
| 0.995629 | 1.481737 |
| 0.997825 | 1.481716 |
| 1.00003 | 1.481696 |
| 1.00223 | 1.481676 |
| 1.00444 | 1.481656 |
| 1.00666 | 1.481635 |
| 1.00888 | 1.481615 |
| 1.0111 | 1.481595 |
| 1.01333 | 1.481576 |
| 1.01557 | 1.481556 |
| 1.01781 | 1.481536 |
| 1.02005 | 1.481517 |
| 1.0223 | 1.481497 |
| 1.02455 | 1.481478 |
| 1.02681 | 1.481458 |
| 1.02908 | 1.481439 |
| 1.03135 | 1.48142 |
| 1.03362 | 1.481401 |
| 1.0359 | 1.481382 |
| 1.03819 | 1.481363 |
| 1.04048 | 1.481344 |
| 1.04277 | 1.481326 |
| 1.04507 | 1.481307 |
| 1.04738 | 1.481288 |
| 1.04969 | 1.48127 |
| 1.052 | 1.481252 |
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
- —
20 °C