Optical constants
Refractive index of (C8H8)n-(C3H3N)m (Styrene-acrylonitrile, SAN)
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
- 1.56647
- Extinction coefficient k
- 0
- Permittivity ε1
- 2.45383
- Permittivity ε2
- 0
- Absorption coefficient α
- 0 cm⁻¹
- Penetration depth δ = λ/(2πk)
- — nm
- Abbe number Vd
- 33.556
- Chromatic dispersion dn/dλ
- -0.086066 µm⁻¹
- Group index ng
- 1.61704
- Group velocity dispersion
- 167.639 fs²/mm
- Dispersion parameter D
- -914.561 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-(C3H3N)m (Styrene-acrylonitrile, SAN): Sultanova et al. 2009: n 0.4368–1.052 µm
c8h8_n_c3h3n_m = ls.fetch_refractiveindex("other", "C8H8_n-C3H3N_m", "Sultanova", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(c8h8_n_c3h3n_m.range_nm) # (436.8, 1052) nm
eps = c8h8_n_c3h3n_m.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_bf0138885d0b/lightsmith"
c8h8_n_c3h3n_m = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(c8h8_n_c3h3n_m.source) # citation and provenance travel with the data
Any dataset here, as the library's Tabulated material (c8h8-n-c3h3n-m/sultanova-2009).
# ... load c8h8_n_c3h3n_m as above, then:
sim = ls.Simulation(
particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=c8h8_n_c3h3n_m)],
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_bf0138885d0b/lightsmith?model=drude_lorentz"
c8h8_n_c3h3n_m_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 | 1.3787 |
| C3 | 0.017842 |
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 | 1.587743 |
| 0.437763 | 1.587526 |
| 0.438729 | 1.58731 |
| 0.439696 | 1.587095 |
| 0.440666 | 1.586881 |
| 0.441638 | 1.586669 |
| 0.442612 | 1.586457 |
| 0.443588 | 1.586247 |
| 0.444566 | 1.586037 |
| 0.445547 | 1.585829 |
| 0.446529 | 1.585622 |
| 0.447514 | 1.585415 |
| 0.448501 | 1.58521 |
| 0.44949 | 1.585006 |
| 0.450481 | 1.584803 |
| 0.451475 | 1.584601 |
| 0.45247 | 1.5844 |
| 0.453468 | 1.5842 |
| 0.454468 | 1.584001 |
| 0.455471 | 1.583803 |
| 0.456475 | 1.583606 |
| 0.457482 | 1.58341 |
| 0.458491 | 1.583215 |
| 0.459502 | 1.583021 |
| 0.460515 | 1.582829 |
| 0.461531 | 1.582637 |
| 0.462549 | 1.582446 |
| 0.463569 | 1.582256 |
| 0.464591 | 1.582066 |
| 0.465616 | 1.581878 |
| 0.466643 | 1.581691 |
| 0.467672 | 1.581505 |
| 0.468703 | 1.58132 |
| 0.469737 | 1.581135 |
| 0.470773 | 1.580952 |
| 0.471811 | 1.58077 |
| 0.472851 | 1.580588 |
| 0.473894 | 1.580407 |
| 0.474939 | 1.580228 |
| 0.475987 | 1.580049 |
| 0.477037 | 1.579871 |
| 0.478089 | 1.579694 |
| 0.479143 | 1.579518 |
| 0.4802 | 1.579343 |
| 0.481259 | 1.579168 |
| 0.48232 | 1.578995 |
| 0.483384 | 1.578822 |
| 0.48445 | 1.57865 |
| 0.485518 | 1.578479 |
| 0.486589 | 1.578309 |
| 0.487662 | 1.57814 |
| 0.488737 | 1.577972 |
| 0.489815 | 1.577804 |
| 0.490895 | 1.577638 |
| 0.491978 | 1.577472 |
| 0.493063 | 1.577307 |
| 0.49415 | 1.577143 |
| 0.49524 | 1.576979 |
| 0.496332 | 1.576817 |
| 0.497427 | 1.576655 |
| 0.498524 | 1.576494 |
| 0.499623 | 1.576334 |
| 0.500725 | 1.576175 |
| 0.50183 | 1.576016 |
| 0.502936 | 1.575858 |
| 0.504045 | 1.575701 |
| 0.505157 | 1.575545 |
| 0.506271 | 1.57539 |
| 0.507388 | 1.575235 |
| 0.508507 | 1.575081 |
| 0.509628 | 1.574928 |
| 0.510752 | 1.574776 |
| 0.511878 | 1.574624 |
| 0.513007 | 1.574473 |
| 0.514139 | 1.574323 |
| 0.515273 | 1.574174 |
| 0.516409 | 1.574025 |
| 0.517548 | 1.573877 |
| 0.518689 | 1.57373 |
| 0.519833 | 1.573584 |
| 0.520979 | 1.573438 |
| 0.522128 | 1.573293 |
| 0.52328 | 1.573149 |
| 0.524434 | 1.573005 |
| 0.52559 | 1.572862 |
| 0.52675 | 1.57272 |
| 0.527911 | 1.572578 |
| 0.529076 | 1.572438 |
| 0.530242 | 1.572298 |
| 0.531412 | 1.572158 |
| 0.532584 | 1.572019 |
| 0.533758 | 1.571881 |
| 0.534935 | 1.571744 |
| 0.536115 | 1.571607 |
| 0.537297 | 1.571471 |
| 0.538482 | 1.571336 |
| 0.53967 | 1.571201 |
| 0.54086 | 1.571067 |
| 0.542053 | 1.570934 |
| 0.543248 | 1.570801 |
| 0.544446 | 1.570669 |
| 0.545647 | 1.570537 |
| 0.54685 | 1.570407 |
| 0.548056 | 1.570276 |
| 0.549265 | 1.570147 |
| 0.550476 | 1.570018 |
| 0.55169 | 1.56989 |
| 0.552907 | 1.569762 |
| 0.554126 | 1.569635 |
| 0.555349 | 1.569509 |
| 0.556573 | 1.569383 |
| 0.557801 | 1.569257 |
| 0.559031 | 1.569133 |
| 0.560264 | 1.569009 |
| 0.561499 | 1.568886 |
| 0.562738 | 1.568763 |
| 0.563979 | 1.568641 |
| 0.565222 | 1.568519 |
| 0.566469 | 1.568398 |
| 0.567718 | 1.568277 |
| 0.56897 | 1.568158 |
| 0.570225 | 1.568038 |
| 0.571483 | 1.56792 |
| 0.572743 | 1.567802 |
| 0.574006 | 1.567684 |
| 0.575272 | 1.567567 |
| 0.576541 | 1.567451 |
| 0.577812 | 1.567335 |
| 0.579086 | 1.567219 |
| 0.580364 | 1.567105 |
| 0.581643 | 1.56699 |
| 0.582926 | 1.566877 |
| 0.584212 | 1.566764 |
| 0.5855 | 1.566651 |
| 0.586791 | 1.566539 |
| 0.588085 | 1.566428 |
| 0.589382 | 1.566317 |
| 0.590682 | 1.566206 |
| 0.591985 | 1.566096 |
| 0.59329 | 1.565987 |
| 0.594599 | 1.565878 |
| 0.59591 | 1.56577 |
| 0.597224 | 1.565662 |
| 0.598541 | 1.565555 |
| 0.599861 | 1.565448 |
| 0.601184 | 1.565342 |
| 0.60251 | 1.565236 |
| 0.603839 | 1.565131 |
| 0.605171 | 1.565026 |
| 0.606505 | 1.564922 |
| 0.607843 | 1.564818 |
| 0.609183 | 1.564715 |
| 0.610527 | 1.564612 |
| 0.611873 | 1.56451 |
| 0.613223 | 1.564408 |
| 0.614575 | 1.564307 |
| 0.61593 | 1.564206 |
| 0.617289 | 1.564106 |
| 0.61865 | 1.564006 |
| 0.620014 | 1.563907 |
| 0.621382 | 1.563808 |
| 0.622752 | 1.563709 |
| 0.624126 | 1.563611 |
| 0.625502 | 1.563514 |
| 0.626882 | 1.563417 |
| 0.628264 | 1.56332 |
| 0.62965 | 1.563224 |
| 0.631038 | 1.563129 |
| 0.63243 | 1.563033 |
| 0.633825 | 1.562939 |
| 0.635222 | 1.562844 |
| 0.636623 | 1.562751 |
| 0.638027 | 1.562657 |
| 0.639434 | 1.562564 |
| 0.640845 | 1.562472 |
| 0.642258 | 1.56238 |
| 0.643674 | 1.562288 |
| 0.645094 | 1.562197 |
| 0.646516 | 1.562106 |
| 0.647942 | 1.562016 |
| 0.649371 | 1.561926 |
| 0.650803 | 1.561836 |
| 0.652239 | 1.561747 |
| 0.653677 | 1.561659 |
| 0.655119 | 1.56157 |
| 0.656563 | 1.561482 |
| 0.658011 | 1.561395 |
| 0.659463 | 1.561308 |
| 0.660917 | 1.561222 |
| 0.662374 | 1.561135 |
| 0.663835 | 1.56105 |
| 0.665299 | 1.560964 |
| 0.666766 | 1.560879 |
| 0.668237 | 1.560795 |
| 0.669711 | 1.560711 |
| 0.671188 | 1.560627 |
| 0.672668 | 1.560543 |
| 0.674151 | 1.56046 |
| 0.675638 | 1.560378 |
| 0.677128 | 1.560296 |
| 0.678621 | 1.560214 |
| 0.680118 | 1.560132 |
| 0.681618 | 1.560051 |
| 0.683121 | 1.559971 |
| 0.684628 | 1.55989 |
| 0.686138 | 1.55981 |
| 0.687651 | 1.559731 |
| 0.689167 | 1.559652 |
| 0.690687 | 1.559573 |
| 0.69221 | 1.559495 |
| 0.693737 | 1.559417 |
| 0.695267 | 1.559339 |
| 0.6968 | 1.559262 |
| 0.698337 | 1.559185 |
| 0.699877 | 1.559108 |
| 0.70142 | 1.559032 |
| 0.702967 | 1.558956 |
| 0.704518 | 1.55888 |
| 0.706071 | 1.558805 |
| 0.707628 | 1.55873 |
| 0.709189 | 1.558656 |
| 0.710753 | 1.558582 |
| 0.712321 | 1.558508 |
| 0.713892 | 1.558434 |
| 0.715466 | 1.558361 |
| 0.717044 | 1.558289 |
| 0.718625 | 1.558216 |
| 0.72021 | 1.558144 |
| 0.721798 | 1.558072 |
| 0.72339 | 1.558001 |
| 0.724985 | 1.55793 |
| 0.726584 | 1.557859 |
| 0.728187 | 1.557789 |
| 0.729793 | 1.557719 |
| 0.731402 | 1.557649 |
| 0.733015 | 1.557579 |
| 0.734632 | 1.55751 |
| 0.736252 | 1.557442 |
| 0.737875 | 1.557373 |
| 0.739503 | 1.557305 |
| 0.741134 | 1.557237 |
| 0.742768 | 1.55717 |
| 0.744406 | 1.557102 |
| 0.746048 | 1.557035 |
| 0.747693 | 1.556969 |
| 0.749342 | 1.556903 |
| 0.750995 | 1.556837 |
| 0.752651 | 1.556771 |
| 0.754311 | 1.556706 |
| 0.755974 | 1.556641 |
| 0.757642 | 1.556576 |
| 0.759312 | 1.556511 |
| 0.760987 | 1.556447 |
| 0.762665 | 1.556383 |
| 0.764347 | 1.55632 |
| 0.766033 | 1.556256 |
| 0.767722 | 1.556194 |
| 0.769415 | 1.556131 |
| 0.771112 | 1.556068 |
| 0.772813 | 1.556006 |
| 0.774517 | 1.555945 |
| 0.776225 | 1.555883 |
| 0.777937 | 1.555822 |
| 0.779653 | 1.555761 |
| 0.781372 | 1.5557 |
| 0.783095 | 1.55564 |
| 0.784822 | 1.55558 |
| 0.786553 | 1.55552 |
| 0.788288 | 1.55546 |
| 0.790026 | 1.555401 |
| 0.791769 | 1.555342 |
| 0.793515 | 1.555283 |
| 0.795265 | 1.555225 |
| 0.797019 | 1.555166 |
| 0.798776 | 1.555109 |
| 0.800538 | 1.555051 |
| 0.802303 | 1.554993 |
| 0.804073 | 1.554936 |
| 0.805846 | 1.554879 |
| 0.807623 | 1.554823 |
| 0.809404 | 1.554766 |
| 0.811189 | 1.55471 |
| 0.812978 | 1.554655 |
| 0.814771 | 1.554599 |
| 0.816568 | 1.554544 |
| 0.818369 | 1.554489 |
| 0.820174 | 1.554434 |
| 0.821983 | 1.554379 |
| 0.823795 | 1.554325 |
| 0.825612 | 1.554271 |
| 0.827433 | 1.554217 |
| 0.829258 | 1.554163 |
| 0.831086 | 1.55411 |
| 0.832919 | 1.554057 |
| 0.834756 | 1.554004 |
| 0.836597 | 1.553952 |
| 0.838442 | 1.553899 |
| 0.840291 | 1.553847 |
| 0.842144 | 1.553795 |
| 0.844002 | 1.553744 |
| 0.845863 | 1.553692 |
| 0.847728 | 1.553641 |
| 0.849598 | 1.55359 |
| 0.851472 | 1.55354 |
| 0.853349 | 1.553489 |
| 0.855231 | 1.553439 |
| 0.857117 | 1.553389 |
| 0.859008 | 1.553339 |
| 0.860902 | 1.55329 |
| 0.862801 | 1.55324 |
| 0.864704 | 1.553191 |
| 0.866611 | 1.553142 |
| 0.868522 | 1.553094 |
| 0.870437 | 1.553045 |
| 0.872357 | 1.552997 |
| 0.874281 | 1.552949 |
| 0.876209 | 1.552901 |
| 0.878141 | 1.552854 |
| 0.880078 | 1.552807 |
| 0.882019 | 1.552759 |
| 0.883964 | 1.552713 |
| 0.885913 | 1.552666 |
| 0.887867 | 1.552619 |
| 0.889825 | 1.552573 |
| 0.891788 | 1.552527 |
| 0.893754 | 1.552481 |
| 0.895725 | 1.552436 |
| 0.897701 | 1.55239 |
| 0.89968 | 1.552345 |
| 0.901665 | 1.5523 |
| 0.903653 | 1.552255 |
| 0.905646 | 1.552211 |
| 0.907643 | 1.552166 |
| 0.909645 | 1.552122 |
| 0.911651 | 1.552078 |
| 0.913662 | 1.552034 |
| 0.915677 | 1.551991 |
| 0.917696 | 1.551948 |
| 0.91972 | 1.551904 |
| 0.921748 | 1.551861 |
| 0.923781 | 1.551819 |
| 0.925818 | 1.551776 |
| 0.92786 | 1.551734 |
| 0.929906 | 1.551691 |
| 0.931957 | 1.551649 |
| 0.934012 | 1.551608 |
| 0.936072 | 1.551566 |
| 0.938137 | 1.551525 |
| 0.940205 | 1.551483 |
| 0.942279 | 1.551442 |
| 0.944357 | 1.551401 |
| 0.94644 | 1.551361 |
| 0.948527 | 1.55132 |
| 0.950619 | 1.55128 |
| 0.952715 | 1.55124 |
| 0.954816 | 1.5512 |
| 0.956922 | 1.55116 |
| 0.959032 | 1.55112 |
| 0.961147 | 1.551081 |
| 0.963267 | 1.551042 |
| 0.965392 | 1.551003 |
| 0.967521 | 1.550964 |
| 0.969654 | 1.550925 |
| 0.971793 | 1.550887 |
| 0.973936 | 1.550848 |
| 0.976084 | 1.55081 |
| 0.978236 | 1.550772 |
| 0.980394 | 1.550734 |
| 0.982556 | 1.550697 |
| 0.984723 | 1.550659 |
| 0.986894 | 1.550622 |
| 0.989071 | 1.550585 |
| 0.991252 | 1.550548 |
| 0.993438 | 1.550511 |
| 0.995629 | 1.550474 |
| 0.997825 | 1.550438 |
| 1.00003 | 1.550401 |
| 1.00223 | 1.550365 |
| 1.00444 | 1.550329 |
| 1.00666 | 1.550293 |
| 1.00888 | 1.550258 |
| 1.0111 | 1.550222 |
| 1.01333 | 1.550187 |
| 1.01557 | 1.550152 |
| 1.01781 | 1.550117 |
| 1.02005 | 1.550082 |
| 1.0223 | 1.550047 |
| 1.02455 | 1.550013 |
| 1.02681 | 1.549978 |
| 1.02908 | 1.549944 |
| 1.03135 | 1.54991 |
| 1.03362 | 1.549876 |
| 1.0359 | 1.549842 |
| 1.03819 | 1.549809 |
| 1.04048 | 1.549775 |
| 1.04277 | 1.549742 |
| 1.04507 | 1.549709 |
| 1.04738 | 1.549676 |
| 1.04969 | 1.549643 |
| 1.052 | 1.54961 |
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