Optical constants
Refractive index of (C8H8)n (Polystyrene, PS)
Sultanova et al. 2009: n 0.437–1.05 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
- 1.59163
- Extinction coefficient k
- 0
- Permittivity ε1
- 2.53327
- Permittivity ε2
- 0
- Absorption coefficient α
- 0 cm⁻¹
- Penetration depth δ = λ/(2πk)
- — nm
- Abbe number Vd
- 29.531
- Chromatic dispersion dn/dλ
- -0.10196 µm⁻¹
- Group index ng
- 1.65154
- Group velocity dispersion
- 200.185 fs²/mm
- Dispersion parameter D
- -1092.11 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
# (C8H8)n (Polystyrene, PS): Sultanova et al. 2009: n 0.437–1.05 µm
polystyrene = ls.fetch_refractiveindex("organic", "polystyrene", "Sultanova", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(polystyrene.range_nm) # (436.8, 1052) nm
eps = polystyrene.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_62de37cb1e4e/lightsmith"
polystyrene = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(polystyrene.source) # citation and provenance travel with the data
Any dataset here, as the library's Tabulated material (polystyrene/sultanova-2009).
# ... load polystyrene as above, then:
sim = ls.Simulation(
particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=polystyrene)],
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_62de37cb1e4e/lightsmith?model=drude_lorentz"
polystyrene_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 | 1.4435 |
| C3 | 0.020216 |
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 | 1.616965 |
| 0.437763 | 1.616705 |
| 0.438729 | 1.616446 |
| 0.439696 | 1.616189 |
| 0.440666 | 1.615933 |
| 0.441638 | 1.615679 |
| 0.442612 | 1.615425 |
| 0.443588 | 1.615173 |
| 0.444566 | 1.614923 |
| 0.445547 | 1.614674 |
| 0.446529 | 1.614426 |
| 0.447514 | 1.614179 |
| 0.448501 | 1.613934 |
| 0.44949 | 1.613689 |
| 0.450481 | 1.613447 |
| 0.451475 | 1.613205 |
| 0.45247 | 1.612965 |
| 0.453468 | 1.612726 |
| 0.454468 | 1.612488 |
| 0.455471 | 1.612251 |
| 0.456475 | 1.612016 |
| 0.457482 | 1.611782 |
| 0.458491 | 1.611549 |
| 0.459502 | 1.611317 |
| 0.460515 | 1.611087 |
| 0.461531 | 1.610858 |
| 0.462549 | 1.610629 |
| 0.463569 | 1.610402 |
| 0.464591 | 1.610177 |
| 0.465616 | 1.609952 |
| 0.466643 | 1.609729 |
| 0.467672 | 1.609506 |
| 0.468703 | 1.609285 |
| 0.469737 | 1.609065 |
| 0.470773 | 1.608846 |
| 0.471811 | 1.608629 |
| 0.472851 | 1.608412 |
| 0.473894 | 1.608197 |
| 0.474939 | 1.607982 |
| 0.475987 | 1.607769 |
| 0.477037 | 1.607557 |
| 0.478089 | 1.607346 |
| 0.479143 | 1.607135 |
| 0.4802 | 1.606927 |
| 0.481259 | 1.606719 |
| 0.48232 | 1.606512 |
| 0.483384 | 1.606306 |
| 0.48445 | 1.606101 |
| 0.485518 | 1.605898 |
| 0.486589 | 1.605695 |
| 0.487662 | 1.605493 |
| 0.488737 | 1.605293 |
| 0.489815 | 1.605093 |
| 0.490895 | 1.604895 |
| 0.491978 | 1.604697 |
| 0.493063 | 1.6045 |
| 0.49415 | 1.604305 |
| 0.49524 | 1.60411 |
| 0.496332 | 1.603917 |
| 0.497427 | 1.603724 |
| 0.498524 | 1.603532 |
| 0.499623 | 1.603342 |
| 0.500725 | 1.603152 |
| 0.50183 | 1.602963 |
| 0.502936 | 1.602776 |
| 0.504045 | 1.602589 |
| 0.505157 | 1.602403 |
| 0.506271 | 1.602218 |
| 0.507388 | 1.602034 |
| 0.508507 | 1.601851 |
| 0.509628 | 1.601669 |
| 0.510752 | 1.601487 |
| 0.511878 | 1.601307 |
| 0.513007 | 1.601127 |
| 0.514139 | 1.600949 |
| 0.515273 | 1.600771 |
| 0.516409 | 1.600595 |
| 0.517548 | 1.600419 |
| 0.518689 | 1.600244 |
| 0.519833 | 1.600069 |
| 0.520979 | 1.599896 |
| 0.522128 | 1.599724 |
| 0.52328 | 1.599552 |
| 0.524434 | 1.599382 |
| 0.52559 | 1.599212 |
| 0.52675 | 1.599043 |
| 0.527911 | 1.598875 |
| 0.529076 | 1.598707 |
| 0.530242 | 1.598541 |
| 0.531412 | 1.598375 |
| 0.532584 | 1.59821 |
| 0.533758 | 1.598046 |
| 0.534935 | 1.597883 |
| 0.536115 | 1.597721 |
| 0.537297 | 1.597559 |
| 0.538482 | 1.597399 |
| 0.53967 | 1.597239 |
| 0.54086 | 1.597079 |
| 0.542053 | 1.596921 |
| 0.543248 | 1.596763 |
| 0.544446 | 1.596607 |
| 0.545647 | 1.59645 |
| 0.54685 | 1.596295 |
| 0.548056 | 1.596141 |
| 0.549265 | 1.595987 |
| 0.550476 | 1.595834 |
| 0.55169 | 1.595682 |
| 0.552907 | 1.59553 |
| 0.554126 | 1.595379 |
| 0.555349 | 1.595229 |
| 0.556573 | 1.59508 |
| 0.557801 | 1.594932 |
| 0.559031 | 1.594784 |
| 0.560264 | 1.594637 |
| 0.561499 | 1.59449 |
| 0.562738 | 1.594345 |
| 0.563979 | 1.5942 |
| 0.565222 | 1.594056 |
| 0.566469 | 1.593912 |
| 0.567718 | 1.593769 |
| 0.56897 | 1.593627 |
| 0.570225 | 1.593486 |
| 0.571483 | 1.593345 |
| 0.572743 | 1.593205 |
| 0.574006 | 1.593066 |
| 0.575272 | 1.592927 |
| 0.576541 | 1.592789 |
| 0.577812 | 1.592652 |
| 0.579086 | 1.592515 |
| 0.580364 | 1.592379 |
| 0.581643 | 1.592244 |
| 0.582926 | 1.592109 |
| 0.584212 | 1.591975 |
| 0.5855 | 1.591842 |
| 0.586791 | 1.591709 |
| 0.588085 | 1.591577 |
| 0.589382 | 1.591445 |
| 0.590682 | 1.591315 |
| 0.591985 | 1.591184 |
| 0.59329 | 1.591055 |
| 0.594599 | 1.590926 |
| 0.59591 | 1.590798 |
| 0.597224 | 1.59067 |
| 0.598541 | 1.590543 |
| 0.599861 | 1.590417 |
| 0.601184 | 1.590291 |
| 0.60251 | 1.590166 |
| 0.603839 | 1.590041 |
| 0.605171 | 1.589917 |
| 0.606505 | 1.589794 |
| 0.607843 | 1.589671 |
| 0.609183 | 1.589549 |
| 0.610527 | 1.589427 |
| 0.611873 | 1.589306 |
| 0.613223 | 1.589186 |
| 0.614575 | 1.589066 |
| 0.61593 | 1.588947 |
| 0.617289 | 1.588828 |
| 0.61865 | 1.58871 |
| 0.620014 | 1.588592 |
| 0.621382 | 1.588475 |
| 0.622752 | 1.588359 |
| 0.624126 | 1.588243 |
| 0.625502 | 1.588128 |
| 0.626882 | 1.588013 |
| 0.628264 | 1.587899 |
| 0.62965 | 1.587785 |
| 0.631038 | 1.587672 |
| 0.63243 | 1.587559 |
| 0.633825 | 1.587447 |
| 0.635222 | 1.587336 |
| 0.636623 | 1.587225 |
| 0.638027 | 1.587114 |
| 0.639434 | 1.587004 |
| 0.640845 | 1.586895 |
| 0.642258 | 1.586786 |
| 0.643674 | 1.586678 |
| 0.645094 | 1.58657 |
| 0.646516 | 1.586463 |
| 0.647942 | 1.586356 |
| 0.649371 | 1.58625 |
| 0.650803 | 1.586144 |
| 0.652239 | 1.586039 |
| 0.653677 | 1.585934 |
| 0.655119 | 1.58583 |
| 0.656563 | 1.585726 |
| 0.658011 | 1.585622 |
| 0.659463 | 1.58552 |
| 0.660917 | 1.585417 |
| 0.662374 | 1.585316 |
| 0.663835 | 1.585214 |
| 0.665299 | 1.585113 |
| 0.666766 | 1.585013 |
| 0.668237 | 1.584913 |
| 0.669711 | 1.584814 |
| 0.671188 | 1.584715 |
| 0.672668 | 1.584616 |
| 0.674151 | 1.584518 |
| 0.675638 | 1.584421 |
| 0.677128 | 1.584324 |
| 0.678621 | 1.584227 |
| 0.680118 | 1.584131 |
| 0.681618 | 1.584035 |
| 0.683121 | 1.58394 |
| 0.684628 | 1.583845 |
| 0.686138 | 1.583751 |
| 0.687651 | 1.583657 |
| 0.689167 | 1.583563 |
| 0.690687 | 1.58347 |
| 0.69221 | 1.583378 |
| 0.693737 | 1.583286 |
| 0.695267 | 1.583194 |
| 0.6968 | 1.583103 |
| 0.698337 | 1.583012 |
| 0.699877 | 1.582921 |
| 0.70142 | 1.582831 |
| 0.702967 | 1.582742 |
| 0.704518 | 1.582653 |
| 0.706071 | 1.582564 |
| 0.707628 | 1.582476 |
| 0.709189 | 1.582388 |
| 0.710753 | 1.5823 |
| 0.712321 | 1.582213 |
| 0.713892 | 1.582127 |
| 0.715466 | 1.58204 |
| 0.717044 | 1.581955 |
| 0.718625 | 1.581869 |
| 0.72021 | 1.581784 |
| 0.721798 | 1.581699 |
| 0.72339 | 1.581615 |
| 0.724985 | 1.581531 |
| 0.726584 | 1.581448 |
| 0.728187 | 1.581365 |
| 0.729793 | 1.581282 |
| 0.731402 | 1.5812 |
| 0.733015 | 1.581118 |
| 0.734632 | 1.581036 |
| 0.736252 | 1.580955 |
| 0.737875 | 1.580875 |
| 0.739503 | 1.580794 |
| 0.741134 | 1.580714 |
| 0.742768 | 1.580635 |
| 0.744406 | 1.580555 |
| 0.746048 | 1.580476 |
| 0.747693 | 1.580398 |
| 0.749342 | 1.58032 |
| 0.750995 | 1.580242 |
| 0.752651 | 1.580165 |
| 0.754311 | 1.580088 |
| 0.755974 | 1.580011 |
| 0.757642 | 1.579935 |
| 0.759312 | 1.579859 |
| 0.760987 | 1.579783 |
| 0.762665 | 1.579708 |
| 0.764347 | 1.579633 |
| 0.766033 | 1.579558 |
| 0.767722 | 1.579484 |
| 0.769415 | 1.57941 |
| 0.771112 | 1.579337 |
| 0.772813 | 1.579263 |
| 0.774517 | 1.579191 |
| 0.776225 | 1.579118 |
| 0.777937 | 1.579046 |
| 0.779653 | 1.578974 |
| 0.781372 | 1.578903 |
| 0.783095 | 1.578831 |
| 0.784822 | 1.578761 |
| 0.786553 | 1.57869 |
| 0.788288 | 1.57862 |
| 0.790026 | 1.57855 |
| 0.791769 | 1.57848 |
| 0.793515 | 1.578411 |
| 0.795265 | 1.578342 |
| 0.797019 | 1.578274 |
| 0.798776 | 1.578206 |
| 0.800538 | 1.578138 |
| 0.802303 | 1.57807 |
| 0.804073 | 1.578003 |
| 0.805846 | 1.577936 |
| 0.807623 | 1.577869 |
| 0.809404 | 1.577803 |
| 0.811189 | 1.577737 |
| 0.812978 | 1.577671 |
| 0.814771 | 1.577605 |
| 0.816568 | 1.57754 |
| 0.818369 | 1.577475 |
| 0.820174 | 1.577411 |
| 0.821983 | 1.577347 |
| 0.823795 | 1.577283 |
| 0.825612 | 1.577219 |
| 0.827433 | 1.577156 |
| 0.829258 | 1.577093 |
| 0.831086 | 1.57703 |
| 0.832919 | 1.576967 |
| 0.834756 | 1.576905 |
| 0.836597 | 1.576843 |
| 0.838442 | 1.576782 |
| 0.840291 | 1.57672 |
| 0.842144 | 1.576659 |
| 0.844002 | 1.576598 |
| 0.845863 | 1.576538 |
| 0.847728 | 1.576478 |
| 0.849598 | 1.576418 |
| 0.851472 | 1.576358 |
| 0.853349 | 1.576299 |
| 0.855231 | 1.57624 |
| 0.857117 | 1.576181 |
| 0.859008 | 1.576122 |
| 0.860902 | 1.576064 |
| 0.862801 | 1.576006 |
| 0.864704 | 1.575948 |
| 0.866611 | 1.575891 |
| 0.868522 | 1.575833 |
| 0.870437 | 1.575776 |
| 0.872357 | 1.57572 |
| 0.874281 | 1.575663 |
| 0.876209 | 1.575607 |
| 0.878141 | 1.575551 |
| 0.880078 | 1.575496 |
| 0.882019 | 1.57544 |
| 0.883964 | 1.575385 |
| 0.885913 | 1.57533 |
| 0.887867 | 1.575275 |
| 0.889825 | 1.575221 |
| 0.891788 | 1.575167 |
| 0.893754 | 1.575113 |
| 0.895725 | 1.575059 |
| 0.897701 | 1.575006 |
| 0.89968 | 1.574953 |
| 0.901665 | 1.5749 |
| 0.903653 | 1.574847 |
| 0.905646 | 1.574795 |
| 0.907643 | 1.574742 |
| 0.909645 | 1.574691 |
| 0.911651 | 1.574639 |
| 0.913662 | 1.574587 |
| 0.915677 | 1.574536 |
| 0.917696 | 1.574485 |
| 0.91972 | 1.574434 |
| 0.921748 | 1.574384 |
| 0.923781 | 1.574333 |
| 0.925818 | 1.574283 |
| 0.92786 | 1.574233 |
| 0.929906 | 1.574184 |
| 0.931957 | 1.574134 |
| 0.934012 | 1.574085 |
| 0.936072 | 1.574036 |
| 0.938137 | 1.573988 |
| 0.940205 | 1.573939 |
| 0.942279 | 1.573891 |
| 0.944357 | 1.573843 |
| 0.94644 | 1.573795 |
| 0.948527 | 1.573747 |
| 0.950619 | 1.5737 |
| 0.952715 | 1.573653 |
| 0.954816 | 1.573606 |
| 0.956922 | 1.573559 |
| 0.959032 | 1.573512 |
| 0.961147 | 1.573466 |
| 0.963267 | 1.57342 |
| 0.965392 | 1.573374 |
| 0.967521 | 1.573328 |
| 0.969654 | 1.573283 |
| 0.971793 | 1.573238 |
| 0.973936 | 1.573192 |
| 0.976084 | 1.573148 |
| 0.978236 | 1.573103 |
| 0.980394 | 1.573058 |
| 0.982556 | 1.573014 |
| 0.984723 | 1.57297 |
| 0.986894 | 1.572926 |
| 0.989071 | 1.572883 |
| 0.991252 | 1.572839 |
| 0.993438 | 1.572796 |
| 0.995629 | 1.572753 |
| 0.997825 | 1.57271 |
| 1.00003 | 1.572667 |
| 1.00223 | 1.572625 |
| 1.00444 | 1.572583 |
| 1.00666 | 1.57254 |
| 1.00888 | 1.572499 |
| 1.0111 | 1.572457 |
| 1.01333 | 1.572415 |
| 1.01557 | 1.572374 |
| 1.01781 | 1.572333 |
| 1.02005 | 1.572292 |
| 1.0223 | 1.572251 |
| 1.02455 | 1.57221 |
| 1.02681 | 1.57217 |
| 1.02908 | 1.57213 |
| 1.03135 | 1.57209 |
| 1.03362 | 1.57205 |
| 1.0359 | 1.57201 |
| 1.03819 | 1.571971 |
| 1.04048 | 1.571931 |
| 1.04277 | 1.571892 |
| 1.04507 | 1.571853 |
| 1.04738 | 1.571815 |
| 1.04969 | 1.571776 |
| 1.052 | 1.571738 |
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