Optical constants
Refractive index of (C16H14O3)n (Polycarbonate, PC)
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
- 1.58476
- Extinction coefficient k
- 0
- Permittivity ε1
- 2.51146
- Permittivity ε2
- 0
- Absorption coefficient α
- 0 cm⁻¹
- Penetration depth δ = λ/(2πk)
- — nm
- Abbe number Vd
- 27.858
- Chromatic dispersion dn/dλ
- -0.106735 µm⁻¹
- Group index ng
- 1.64748
- Group velocity dispersion
- 210.365 fs²/mm
- Dispersion parameter D
- -1147.65 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
# (C16H14O3)n (Polycarbonate, PC): Sultanova et al. 2009: n 0.437–1.05 µm
polycarbonate = ls.fetch_refractiveindex("organic", "polycarbonate", "Sultanova", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(polycarbonate.range_nm) # (436.8, 1052) nm
eps = polycarbonate.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_fb870ca2ddf7/lightsmith"
polycarbonate = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(polycarbonate.source) # citation and provenance travel with the data
Any dataset here, as the library's Tabulated material (polycarbonate/sultanova-2009).
# ... load polycarbonate as above, then:
sim = ls.Simulation(
particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=polycarbonate)],
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_fb870ca2ddf7/lightsmith?model=drude_lorentz"
polycarbonate_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 | 1.4182 |
| C3 | 0.021304 |
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 | 1.611353 |
| 0.437763 | 1.61108 |
| 0.438729 | 1.610808 |
| 0.439696 | 1.610537 |
| 0.440666 | 1.610268 |
| 0.441638 | 1.61 |
| 0.442612 | 1.609734 |
| 0.443588 | 1.609469 |
| 0.444566 | 1.609205 |
| 0.445547 | 1.608943 |
| 0.446529 | 1.608682 |
| 0.447514 | 1.608422 |
| 0.448501 | 1.608164 |
| 0.44949 | 1.607908 |
| 0.450481 | 1.607652 |
| 0.451475 | 1.607398 |
| 0.45247 | 1.607146 |
| 0.453468 | 1.606894 |
| 0.454468 | 1.606644 |
| 0.455471 | 1.606396 |
| 0.456475 | 1.606148 |
| 0.457482 | 1.605902 |
| 0.458491 | 1.605657 |
| 0.459502 | 1.605414 |
| 0.460515 | 1.605171 |
| 0.461531 | 1.60493 |
| 0.462549 | 1.604691 |
| 0.463569 | 1.604452 |
| 0.464591 | 1.604215 |
| 0.465616 | 1.603979 |
| 0.466643 | 1.603744 |
| 0.467672 | 1.603511 |
| 0.468703 | 1.603278 |
| 0.469737 | 1.603047 |
| 0.470773 | 1.602817 |
| 0.471811 | 1.602589 |
| 0.472851 | 1.602361 |
| 0.473894 | 1.602135 |
| 0.474939 | 1.601909 |
| 0.475987 | 1.601685 |
| 0.477037 | 1.601462 |
| 0.478089 | 1.601241 |
| 0.479143 | 1.60102 |
| 0.4802 | 1.600801 |
| 0.481259 | 1.600582 |
| 0.48232 | 1.600365 |
| 0.483384 | 1.600149 |
| 0.48445 | 1.599934 |
| 0.485518 | 1.59972 |
| 0.486589 | 1.599507 |
| 0.487662 | 1.599296 |
| 0.488737 | 1.599085 |
| 0.489815 | 1.598876 |
| 0.490895 | 1.598667 |
| 0.491978 | 1.59846 |
| 0.493063 | 1.598254 |
| 0.49415 | 1.598048 |
| 0.49524 | 1.597844 |
| 0.496332 | 1.597641 |
| 0.497427 | 1.597439 |
| 0.498524 | 1.597238 |
| 0.499623 | 1.597038 |
| 0.500725 | 1.596839 |
| 0.50183 | 1.596641 |
| 0.502936 | 1.596443 |
| 0.504045 | 1.596247 |
| 0.505157 | 1.596052 |
| 0.506271 | 1.595858 |
| 0.507388 | 1.595665 |
| 0.508507 | 1.595473 |
| 0.509628 | 1.595282 |
| 0.510752 | 1.595092 |
| 0.511878 | 1.594903 |
| 0.513007 | 1.594714 |
| 0.514139 | 1.594527 |
| 0.515273 | 1.594341 |
| 0.516409 | 1.594155 |
| 0.517548 | 1.593971 |
| 0.518689 | 1.593787 |
| 0.519833 | 1.593605 |
| 0.520979 | 1.593423 |
| 0.522128 | 1.593242 |
| 0.52328 | 1.593063 |
| 0.524434 | 1.592884 |
| 0.52559 | 1.592706 |
| 0.52675 | 1.592528 |
| 0.527911 | 1.592352 |
| 0.529076 | 1.592177 |
| 0.530242 | 1.592002 |
| 0.531412 | 1.591829 |
| 0.532584 | 1.591656 |
| 0.533758 | 1.591484 |
| 0.534935 | 1.591313 |
| 0.536115 | 1.591143 |
| 0.537297 | 1.590973 |
| 0.538482 | 1.590805 |
| 0.53967 | 1.590637 |
| 0.54086 | 1.59047 |
| 0.542053 | 1.590304 |
| 0.543248 | 1.590139 |
| 0.544446 | 1.589975 |
| 0.545647 | 1.589811 |
| 0.54685 | 1.589648 |
| 0.548056 | 1.589487 |
| 0.549265 | 1.589325 |
| 0.550476 | 1.589165 |
| 0.55169 | 1.589006 |
| 0.552907 | 1.588847 |
| 0.554126 | 1.588689 |
| 0.555349 | 1.588532 |
| 0.556573 | 1.588375 |
| 0.557801 | 1.58822 |
| 0.559031 | 1.588065 |
| 0.560264 | 1.587911 |
| 0.561499 | 1.587758 |
| 0.562738 | 1.587605 |
| 0.563979 | 1.587453 |
| 0.565222 | 1.587302 |
| 0.566469 | 1.587152 |
| 0.567718 | 1.587002 |
| 0.56897 | 1.586854 |
| 0.570225 | 1.586705 |
| 0.571483 | 1.586558 |
| 0.572743 | 1.586411 |
| 0.574006 | 1.586266 |
| 0.575272 | 1.58612 |
| 0.576541 | 1.585976 |
| 0.577812 | 1.585832 |
| 0.579086 | 1.585689 |
| 0.580364 | 1.585547 |
| 0.581643 | 1.585405 |
| 0.582926 | 1.585264 |
| 0.584212 | 1.585124 |
| 0.5855 | 1.584984 |
| 0.586791 | 1.584845 |
| 0.588085 | 1.584707 |
| 0.589382 | 1.584569 |
| 0.590682 | 1.584432 |
| 0.591985 | 1.584296 |
| 0.59329 | 1.584161 |
| 0.594599 | 1.584026 |
| 0.59591 | 1.583891 |
| 0.597224 | 1.583758 |
| 0.598541 | 1.583625 |
| 0.599861 | 1.583493 |
| 0.601184 | 1.583361 |
| 0.60251 | 1.58323 |
| 0.603839 | 1.5831 |
| 0.605171 | 1.58297 |
| 0.606505 | 1.582841 |
| 0.607843 | 1.582712 |
| 0.609183 | 1.582584 |
| 0.610527 | 1.582457 |
| 0.611873 | 1.58233 |
| 0.613223 | 1.582204 |
| 0.614575 | 1.582079 |
| 0.61593 | 1.581954 |
| 0.617289 | 1.58183 |
| 0.61865 | 1.581706 |
| 0.620014 | 1.581583 |
| 0.621382 | 1.581461 |
| 0.622752 | 1.581339 |
| 0.624126 | 1.581218 |
| 0.625502 | 1.581097 |
| 0.626882 | 1.580977 |
| 0.628264 | 1.580858 |
| 0.62965 | 1.580739 |
| 0.631038 | 1.580621 |
| 0.63243 | 1.580503 |
| 0.633825 | 1.580386 |
| 0.635222 | 1.580269 |
| 0.636623 | 1.580153 |
| 0.638027 | 1.580038 |
| 0.639434 | 1.579923 |
| 0.640845 | 1.579808 |
| 0.642258 | 1.579694 |
| 0.643674 | 1.579581 |
| 0.645094 | 1.579468 |
| 0.646516 | 1.579356 |
| 0.647942 | 1.579244 |
| 0.649371 | 1.579133 |
| 0.650803 | 1.579023 |
| 0.652239 | 1.578913 |
| 0.653677 | 1.578803 |
| 0.655119 | 1.578694 |
| 0.656563 | 1.578585 |
| 0.658011 | 1.578478 |
| 0.659463 | 1.57837 |
| 0.660917 | 1.578263 |
| 0.662374 | 1.578157 |
| 0.663835 | 1.578051 |
| 0.665299 | 1.577945 |
| 0.666766 | 1.57784 |
| 0.668237 | 1.577736 |
| 0.669711 | 1.577632 |
| 0.671188 | 1.577529 |
| 0.672668 | 1.577426 |
| 0.674151 | 1.577323 |
| 0.675638 | 1.577221 |
| 0.677128 | 1.57712 |
| 0.678621 | 1.577019 |
| 0.680118 | 1.576918 |
| 0.681618 | 1.576818 |
| 0.683121 | 1.576719 |
| 0.684628 | 1.57662 |
| 0.686138 | 1.576521 |
| 0.687651 | 1.576423 |
| 0.689167 | 1.576325 |
| 0.690687 | 1.576228 |
| 0.69221 | 1.576131 |
| 0.693737 | 1.576035 |
| 0.695267 | 1.575939 |
| 0.6968 | 1.575844 |
| 0.698337 | 1.575749 |
| 0.699877 | 1.575654 |
| 0.70142 | 1.57556 |
| 0.702967 | 1.575467 |
| 0.704518 | 1.575373 |
| 0.706071 | 1.575281 |
| 0.707628 | 1.575188 |
| 0.709189 | 1.575097 |
| 0.710753 | 1.575005 |
| 0.712321 | 1.574914 |
| 0.713892 | 1.574824 |
| 0.715466 | 1.574734 |
| 0.717044 | 1.574644 |
| 0.718625 | 1.574555 |
| 0.72021 | 1.574466 |
| 0.721798 | 1.574377 |
| 0.72339 | 1.574289 |
| 0.724985 | 1.574202 |
| 0.726584 | 1.574115 |
| 0.728187 | 1.574028 |
| 0.729793 | 1.573942 |
| 0.731402 | 1.573856 |
| 0.733015 | 1.57377 |
| 0.734632 | 1.573685 |
| 0.736252 | 1.5736 |
| 0.737875 | 1.573516 |
| 0.739503 | 1.573432 |
| 0.741134 | 1.573348 |
| 0.742768 | 1.573265 |
| 0.744406 | 1.573182 |
| 0.746048 | 1.5731 |
| 0.747693 | 1.573018 |
| 0.749342 | 1.572936 |
| 0.750995 | 1.572855 |
| 0.752651 | 1.572774 |
| 0.754311 | 1.572694 |
| 0.755974 | 1.572614 |
| 0.757642 | 1.572534 |
| 0.759312 | 1.572455 |
| 0.760987 | 1.572376 |
| 0.762665 | 1.572297 |
| 0.764347 | 1.572219 |
| 0.766033 | 1.572141 |
| 0.767722 | 1.572064 |
| 0.769415 | 1.571986 |
| 0.771112 | 1.57191 |
| 0.772813 | 1.571833 |
| 0.774517 | 1.571757 |
| 0.776225 | 1.571681 |
| 0.777937 | 1.571606 |
| 0.779653 | 1.571531 |
| 0.781372 | 1.571456 |
| 0.783095 | 1.571382 |
| 0.784822 | 1.571308 |
| 0.786553 | 1.571235 |
| 0.788288 | 1.571161 |
| 0.790026 | 1.571088 |
| 0.791769 | 1.571016 |
| 0.793515 | 1.570943 |
| 0.795265 | 1.570872 |
| 0.797019 | 1.5708 |
| 0.798776 | 1.570729 |
| 0.800538 | 1.570658 |
| 0.802303 | 1.570587 |
| 0.804073 | 1.570517 |
| 0.805846 | 1.570447 |
| 0.807623 | 1.570377 |
| 0.809404 | 1.570308 |
| 0.811189 | 1.570239 |
| 0.812978 | 1.570171 |
| 0.814771 | 1.570102 |
| 0.816568 | 1.570034 |
| 0.818369 | 1.569967 |
| 0.820174 | 1.569899 |
| 0.821983 | 1.569832 |
| 0.823795 | 1.569765 |
| 0.825612 | 1.569699 |
| 0.827433 | 1.569633 |
| 0.829258 | 1.569567 |
| 0.831086 | 1.569501 |
| 0.832919 | 1.569436 |
| 0.834756 | 1.569371 |
| 0.836597 | 1.569307 |
| 0.838442 | 1.569242 |
| 0.840291 | 1.569178 |
| 0.842144 | 1.569115 |
| 0.844002 | 1.569051 |
| 0.845863 | 1.568988 |
| 0.847728 | 1.568925 |
| 0.849598 | 1.568863 |
| 0.851472 | 1.5688 |
| 0.853349 | 1.568739 |
| 0.855231 | 1.568677 |
| 0.857117 | 1.568615 |
| 0.859008 | 1.568554 |
| 0.860902 | 1.568493 |
| 0.862801 | 1.568433 |
| 0.864704 | 1.568373 |
| 0.866611 | 1.568313 |
| 0.868522 | 1.568253 |
| 0.870437 | 1.568193 |
| 0.872357 | 1.568134 |
| 0.874281 | 1.568075 |
| 0.876209 | 1.568017 |
| 0.878141 | 1.567958 |
| 0.880078 | 1.5679 |
| 0.882019 | 1.567843 |
| 0.883964 | 1.567785 |
| 0.885913 | 1.567728 |
| 0.887867 | 1.567671 |
| 0.889825 | 1.567614 |
| 0.891788 | 1.567557 |
| 0.893754 | 1.567501 |
| 0.895725 | 1.567445 |
| 0.897701 | 1.567389 |
| 0.89968 | 1.567334 |
| 0.901665 | 1.567279 |
| 0.903653 | 1.567224 |
| 0.905646 | 1.567169 |
| 0.907643 | 1.567115 |
| 0.909645 | 1.56706 |
| 0.911651 | 1.567007 |
| 0.913662 | 1.566953 |
| 0.915677 | 1.566899 |
| 0.917696 | 1.566846 |
| 0.91972 | 1.566793 |
| 0.921748 | 1.56674 |
| 0.923781 | 1.566688 |
| 0.925818 | 1.566636 |
| 0.92786 | 1.566584 |
| 0.929906 | 1.566532 |
| 0.931957 | 1.56648 |
| 0.934012 | 1.566429 |
| 0.936072 | 1.566378 |
| 0.938137 | 1.566327 |
| 0.940205 | 1.566277 |
| 0.942279 | 1.566226 |
| 0.944357 | 1.566176 |
| 0.94644 | 1.566126 |
| 0.948527 | 1.566077 |
| 0.950619 | 1.566027 |
| 0.952715 | 1.565978 |
| 0.954816 | 1.565929 |
| 0.956922 | 1.56588 |
| 0.959032 | 1.565832 |
| 0.961147 | 1.565783 |
| 0.963267 | 1.565735 |
| 0.965392 | 1.565687 |
| 0.967521 | 1.56564 |
| 0.969654 | 1.565592 |
| 0.971793 | 1.565545 |
| 0.973936 | 1.565498 |
| 0.976084 | 1.565451 |
| 0.978236 | 1.565405 |
| 0.980394 | 1.565358 |
| 0.982556 | 1.565312 |
| 0.984723 | 1.565266 |
| 0.986894 | 1.56522 |
| 0.989071 | 1.565175 |
| 0.991252 | 1.56513 |
| 0.993438 | 1.565084 |
| 0.995629 | 1.565039 |
| 0.997825 | 1.564995 |
| 1.00003 | 1.56495 |
| 1.00223 | 1.564906 |
| 1.00444 | 1.564862 |
| 1.00666 | 1.564818 |
| 1.00888 | 1.564774 |
| 1.0111 | 1.564731 |
| 1.01333 | 1.564688 |
| 1.01557 | 1.564644 |
| 1.01781 | 1.564601 |
| 1.02005 | 1.564559 |
| 1.0223 | 1.564516 |
| 1.02455 | 1.564474 |
| 1.02681 | 1.564432 |
| 1.02908 | 1.56439 |
| 1.03135 | 1.564348 |
| 1.03362 | 1.564307 |
| 1.0359 | 1.564265 |
| 1.03819 | 1.564224 |
| 1.04048 | 1.564183 |
| 1.04277 | 1.564142 |
| 1.04507 | 1.564102 |
| 1.04738 | 1.564061 |
| 1.04969 | 1.564021 |
| 1.052 | 1.563981 |
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