Optical constants
Refractive index of Optorez 1330
Sultanova et al. 2009: n 0.4368–1.052 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
- 1.50946
- Extinction coefficient k
- 0
- Permittivity ε1
- 2.27847
- Permittivity ε2
- 0
- Absorption coefficient α
- 0 cm⁻¹
- Penetration depth δ = λ/(2πk)
- — nm
- Abbe number Vd
- 51.42
- Chromatic dispersion dn/dλ
- -0.0507359 µm⁻¹
- Group index ng
- 1.53927
- Group velocity dispersion
- 96.8184 fs²/mm
- Dispersion parameter D
- -528.196 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
# Optorez 1330: Sultanova et al. 2009: n 0.4368–1.052 µm
optorez1330 = ls.fetch_refractiveindex("other", "Optorez1330", "Sultanova", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(optorez1330.range_nm) # (436.8, 1052) nm
eps = optorez1330.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_9367336d7d9c/lightsmith"
optorez1330 = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(optorez1330.source) # citation and provenance travel with the data
Any dataset here, as the library's Tabulated material (optorez1330/sultanova-2009).
# ... load optorez1330 as above, then:
sim = ls.Simulation(
particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=optorez1330)],
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_9367336d7d9c/lightsmith?model=drude_lorentz"
optorez1330_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 | 1.235 |
| C3 | 0.01174 |
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 and 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 | 1.521833 |
| 0.437763 | 1.521708 |
| 0.438729 | 1.521584 |
| 0.439696 | 1.521461 |
| 0.440666 | 1.521338 |
| 0.441638 | 1.521216 |
| 0.442612 | 1.521094 |
| 0.443588 | 1.520973 |
| 0.444566 | 1.520853 |
| 0.445547 | 1.520733 |
| 0.446529 | 1.520614 |
| 0.447514 | 1.520495 |
| 0.448501 | 1.520377 |
| 0.44949 | 1.52026 |
| 0.450481 | 1.520143 |
| 0.451475 | 1.520026 |
| 0.45247 | 1.51991 |
| 0.453468 | 1.519795 |
| 0.454468 | 1.519681 |
| 0.455471 | 1.519566 |
| 0.456475 | 1.519453 |
| 0.457482 | 1.51934 |
| 0.458491 | 1.519227 |
| 0.459502 | 1.519116 |
| 0.460515 | 1.519004 |
| 0.461531 | 1.518893 |
| 0.462549 | 1.518783 |
| 0.463569 | 1.518673 |
| 0.464591 | 1.518564 |
| 0.465616 | 1.518455 |
| 0.466643 | 1.518347 |
| 0.467672 | 1.518239 |
| 0.468703 | 1.518132 |
| 0.469737 | 1.518026 |
| 0.470773 | 1.517919 |
| 0.471811 | 1.517814 |
| 0.472851 | 1.517709 |
| 0.473894 | 1.517604 |
| 0.474939 | 1.5175 |
| 0.475987 | 1.517397 |
| 0.477037 | 1.517293 |
| 0.478089 | 1.517191 |
| 0.479143 | 1.517089 |
| 0.4802 | 1.516987 |
| 0.481259 | 1.516886 |
| 0.48232 | 1.516785 |
| 0.483384 | 1.516685 |
| 0.48445 | 1.516586 |
| 0.485518 | 1.516486 |
| 0.486589 | 1.516388 |
| 0.487662 | 1.516289 |
| 0.488737 | 1.516192 |
| 0.489815 | 1.516094 |
| 0.490895 | 1.515997 |
| 0.491978 | 1.515901 |
| 0.493063 | 1.515805 |
| 0.49415 | 1.51571 |
| 0.49524 | 1.515615 |
| 0.496332 | 1.51552 |
| 0.497427 | 1.515426 |
| 0.498524 | 1.515332 |
| 0.499623 | 1.515239 |
| 0.500725 | 1.515146 |
| 0.50183 | 1.515054 |
| 0.502936 | 1.514962 |
| 0.504045 | 1.514871 |
| 0.505157 | 1.51478 |
| 0.506271 | 1.514689 |
| 0.507388 | 1.514599 |
| 0.508507 | 1.514509 |
| 0.509628 | 1.51442 |
| 0.510752 | 1.514331 |
| 0.511878 | 1.514243 |
| 0.513007 | 1.514155 |
| 0.514139 | 1.514067 |
| 0.515273 | 1.51398 |
| 0.516409 | 1.513893 |
| 0.517548 | 1.513807 |
| 0.518689 | 1.513721 |
| 0.519833 | 1.513635 |
| 0.520979 | 1.51355 |
| 0.522128 | 1.513465 |
| 0.52328 | 1.513381 |
| 0.524434 | 1.513297 |
| 0.52559 | 1.513214 |
| 0.52675 | 1.51313 |
| 0.527911 | 1.513048 |
| 0.529076 | 1.512965 |
| 0.530242 | 1.512883 |
| 0.531412 | 1.512802 |
| 0.532584 | 1.512721 |
| 0.533758 | 1.51264 |
| 0.534935 | 1.512559 |
| 0.536115 | 1.512479 |
| 0.537297 | 1.5124 |
| 0.538482 | 1.51232 |
| 0.53967 | 1.512241 |
| 0.54086 | 1.512163 |
| 0.542053 | 1.512085 |
| 0.543248 | 1.512007 |
| 0.544446 | 1.511929 |
| 0.545647 | 1.511852 |
| 0.54685 | 1.511775 |
| 0.548056 | 1.511699 |
| 0.549265 | 1.511623 |
| 0.550476 | 1.511547 |
| 0.55169 | 1.511472 |
| 0.552907 | 1.511397 |
| 0.554126 | 1.511323 |
| 0.555349 | 1.511248 |
| 0.556573 | 1.511175 |
| 0.557801 | 1.511101 |
| 0.559031 | 1.511028 |
| 0.560264 | 1.510955 |
| 0.561499 | 1.510882 |
| 0.562738 | 1.51081 |
| 0.563979 | 1.510738 |
| 0.565222 | 1.510667 |
| 0.566469 | 1.510596 |
| 0.567718 | 1.510525 |
| 0.56897 | 1.510454 |
| 0.570225 | 1.510384 |
| 0.571483 | 1.510314 |
| 0.572743 | 1.510245 |
| 0.574006 | 1.510176 |
| 0.575272 | 1.510107 |
| 0.576541 | 1.510038 |
| 0.577812 | 1.50997 |
| 0.579086 | 1.509902 |
| 0.580364 | 1.509835 |
| 0.581643 | 1.509767 |
| 0.582926 | 1.5097 |
| 0.584212 | 1.509634 |
| 0.5855 | 1.509567 |
| 0.586791 | 1.509501 |
| 0.588085 | 1.509436 |
| 0.589382 | 1.50937 |
| 0.590682 | 1.509305 |
| 0.591985 | 1.50924 |
| 0.59329 | 1.509176 |
| 0.594599 | 1.509112 |
| 0.59591 | 1.509048 |
| 0.597224 | 1.508984 |
| 0.598541 | 1.508921 |
| 0.599861 | 1.508858 |
| 0.601184 | 1.508795 |
| 0.60251 | 1.508733 |
| 0.603839 | 1.508671 |
| 0.605171 | 1.508609 |
| 0.606505 | 1.508547 |
| 0.607843 | 1.508486 |
| 0.609183 | 1.508425 |
| 0.610527 | 1.508364 |
| 0.611873 | 1.508304 |
| 0.613223 | 1.508244 |
| 0.614575 | 1.508184 |
| 0.61593 | 1.508124 |
| 0.617289 | 1.508065 |
| 0.61865 | 1.508006 |
| 0.620014 | 1.507947 |
| 0.621382 | 1.507889 |
| 0.622752 | 1.50783 |
| 0.624126 | 1.507773 |
| 0.625502 | 1.507715 |
| 0.626882 | 1.507657 |
| 0.628264 | 1.5076 |
| 0.62965 | 1.507543 |
| 0.631038 | 1.507487 |
| 0.63243 | 1.50743 |
| 0.633825 | 1.507374 |
| 0.635222 | 1.507318 |
| 0.636623 | 1.507263 |
| 0.638027 | 1.507208 |
| 0.639434 | 1.507152 |
| 0.640845 | 1.507098 |
| 0.642258 | 1.507043 |
| 0.643674 | 1.506989 |
| 0.645094 | 1.506935 |
| 0.646516 | 1.506881 |
| 0.647942 | 1.506827 |
| 0.649371 | 1.506774 |
| 0.650803 | 1.506721 |
| 0.652239 | 1.506668 |
| 0.653677 | 1.506616 |
| 0.655119 | 1.506563 |
| 0.656563 | 1.506511 |
| 0.658011 | 1.506459 |
| 0.659463 | 1.506408 |
| 0.660917 | 1.506356 |
| 0.662374 | 1.506305 |
| 0.663835 | 1.506254 |
| 0.665299 | 1.506204 |
| 0.666766 | 1.506153 |
| 0.668237 | 1.506103 |
| 0.669711 | 1.506053 |
| 0.671188 | 1.506003 |
| 0.672668 | 1.505954 |
| 0.674151 | 1.505904 |
| 0.675638 | 1.505855 |
| 0.677128 | 1.505807 |
| 0.678621 | 1.505758 |
| 0.680118 | 1.50571 |
| 0.681618 | 1.505661 |
| 0.683121 | 1.505613 |
| 0.684628 | 1.505566 |
| 0.686138 | 1.505518 |
| 0.687651 | 1.505471 |
| 0.689167 | 1.505424 |
| 0.690687 | 1.505377 |
| 0.69221 | 1.50533 |
| 0.693737 | 1.505284 |
| 0.695267 | 1.505238 |
| 0.6968 | 1.505192 |
| 0.698337 | 1.505146 |
| 0.699877 | 1.5051 |
| 0.70142 | 1.505055 |
| 0.702967 | 1.50501 |
| 0.704518 | 1.504965 |
| 0.706071 | 1.50492 |
| 0.707628 | 1.504875 |
| 0.709189 | 1.504831 |
| 0.710753 | 1.504787 |
| 0.712321 | 1.504743 |
| 0.713892 | 1.504699 |
| 0.715466 | 1.504656 |
| 0.717044 | 1.504612 |
| 0.718625 | 1.504569 |
| 0.72021 | 1.504526 |
| 0.721798 | 1.504484 |
| 0.72339 | 1.504441 |
| 0.724985 | 1.504399 |
| 0.726584 | 1.504357 |
| 0.728187 | 1.504315 |
| 0.729793 | 1.504273 |
| 0.731402 | 1.504231 |
| 0.733015 | 1.50419 |
| 0.734632 | 1.504149 |
| 0.736252 | 1.504108 |
| 0.737875 | 1.504067 |
| 0.739503 | 1.504026 |
| 0.741134 | 1.503986 |
| 0.742768 | 1.503945 |
| 0.744406 | 1.503905 |
| 0.746048 | 1.503865 |
| 0.747693 | 1.503826 |
| 0.749342 | 1.503786 |
| 0.750995 | 1.503747 |
| 0.752651 | 1.503707 |
| 0.754311 | 1.503668 |
| 0.755974 | 1.50363 |
| 0.757642 | 1.503591 |
| 0.759312 | 1.503553 |
| 0.760987 | 1.503514 |
| 0.762665 | 1.503476 |
| 0.764347 | 1.503438 |
| 0.766033 | 1.5034 |
| 0.767722 | 1.503363 |
| 0.769415 | 1.503325 |
| 0.771112 | 1.503288 |
| 0.772813 | 1.503251 |
| 0.774517 | 1.503214 |
| 0.776225 | 1.503177 |
| 0.777937 | 1.503141 |
| 0.779653 | 1.503104 |
| 0.781372 | 1.503068 |
| 0.783095 | 1.503032 |
| 0.784822 | 1.502996 |
| 0.786553 | 1.50296 |
| 0.788288 | 1.502924 |
| 0.790026 | 1.502889 |
| 0.791769 | 1.502854 |
| 0.793515 | 1.502819 |
| 0.795265 | 1.502784 |
| 0.797019 | 1.502749 |
| 0.798776 | 1.502714 |
| 0.800538 | 1.50268 |
| 0.802303 | 1.502645 |
| 0.804073 | 1.502611 |
| 0.805846 | 1.502577 |
| 0.807623 | 1.502543 |
| 0.809404 | 1.50251 |
| 0.811189 | 1.502476 |
| 0.812978 | 1.502443 |
| 0.814771 | 1.502409 |
| 0.816568 | 1.502376 |
| 0.818369 | 1.502343 |
| 0.820174 | 1.50231 |
| 0.821983 | 1.502278 |
| 0.823795 | 1.502245 |
| 0.825612 | 1.502213 |
| 0.827433 | 1.502181 |
| 0.829258 | 1.502149 |
| 0.831086 | 1.502117 |
| 0.832919 | 1.502085 |
| 0.834756 | 1.502053 |
| 0.836597 | 1.502022 |
| 0.838442 | 1.50199 |
| 0.840291 | 1.501959 |
| 0.842144 | 1.501928 |
| 0.844002 | 1.501897 |
| 0.845863 | 1.501866 |
| 0.847728 | 1.501836 |
| 0.849598 | 1.501805 |
| 0.851472 | 1.501775 |
| 0.853349 | 1.501745 |
| 0.855231 | 1.501714 |
| 0.857117 | 1.501684 |
| 0.859008 | 1.501655 |
| 0.860902 | 1.501625 |
| 0.862801 | 1.501595 |
| 0.864704 | 1.501566 |
| 0.866611 | 1.501537 |
| 0.868522 | 1.501507 |
| 0.870437 | 1.501478 |
| 0.872357 | 1.50145 |
| 0.874281 | 1.501421 |
| 0.876209 | 1.501392 |
| 0.878141 | 1.501364 |
| 0.880078 | 1.501335 |
| 0.882019 | 1.501307 |
| 0.883964 | 1.501279 |
| 0.885913 | 1.501251 |
| 0.887867 | 1.501223 |
| 0.889825 | 1.501195 |
| 0.891788 | 1.501168 |
| 0.893754 | 1.50114 |
| 0.895725 | 1.501113 |
| 0.897701 | 1.501085 |
| 0.89968 | 1.501058 |
| 0.901665 | 1.501031 |
| 0.903653 | 1.501004 |
| 0.905646 | 1.500978 |
| 0.907643 | 1.500951 |
| 0.909645 | 1.500925 |
| 0.911651 | 1.500898 |
| 0.913662 | 1.500872 |
| 0.915677 | 1.500846 |
| 0.917696 | 1.50082 |
| 0.91972 | 1.500794 |
| 0.921748 | 1.500768 |
| 0.923781 | 1.500742 |
| 0.925818 | 1.500717 |
| 0.92786 | 1.500691 |
| 0.929906 | 1.500666 |
| 0.931957 | 1.500641 |
| 0.934012 | 1.500615 |
| 0.936072 | 1.50059 |
| 0.938137 | 1.500566 |
| 0.940205 | 1.500541 |
| 0.942279 | 1.500516 |
| 0.944357 | 1.500491 |
| 0.94644 | 1.500467 |
| 0.948527 | 1.500443 |
| 0.950619 | 1.500418 |
| 0.952715 | 1.500394 |
| 0.954816 | 1.50037 |
| 0.956922 | 1.500346 |
| 0.959032 | 1.500323 |
| 0.961147 | 1.500299 |
| 0.963267 | 1.500275 |
| 0.965392 | 1.500252 |
| 0.967521 | 1.500228 |
| 0.969654 | 1.500205 |
| 0.971793 | 1.500182 |
| 0.973936 | 1.500159 |
| 0.976084 | 1.500136 |
| 0.978236 | 1.500113 |
| 0.980394 | 1.50009 |
| 0.982556 | 1.500068 |
| 0.984723 | 1.500045 |
| 0.986894 | 1.500023 |
| 0.989071 | 1.5 |
| 0.991252 | 1.499978 |
| 0.993438 | 1.499956 |
| 0.995629 | 1.499934 |
| 0.997825 | 1.499912 |
| 1.00003 | 1.49989 |
| 1.00223 | 1.499868 |
| 1.00444 | 1.499847 |
| 1.00666 | 1.499825 |
| 1.00888 | 1.499804 |
| 1.0111 | 1.499782 |
| 1.01333 | 1.499761 |
| 1.01557 | 1.49974 |
| 1.01781 | 1.499719 |
| 1.02005 | 1.499698 |
| 1.0223 | 1.499677 |
| 1.02455 | 1.499656 |
| 1.02681 | 1.499635 |
| 1.02908 | 1.499615 |
| 1.03135 | 1.499594 |
| 1.03362 | 1.499574 |
| 1.0359 | 1.499554 |
| 1.03819 | 1.499533 |
| 1.04048 | 1.499513 |
| 1.04277 | 1.499493 |
| 1.04507 | 1.499473 |
| 1.04738 | 1.499453 |
| 1.04969 | 1.499433 |
| 1.052 | 1.499414 |
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