Optical constants
Refractive index of (C2H4O)n (Polyvinyl alcohol, PVA)
Schnepf et al. 2017: n 0.3–1.5 µm
- Data
- formula 5
- Range
- 0.3–1.5 µm
- Licence
- CC0-1.0
Plot
Click the plot to set the calculator wavelength.
At one wavelength
- Refractive index n
- 1.47926
- Extinction coefficient k
- 0
- Permittivity ε1
- 2.18821
- Permittivity ε2
- 0
- Absorption coefficient α
- 0 cm⁻¹
- Penetration depth δ = λ/(2πk)
- — nm
- Abbe number Vd
- 37.74
- Chromatic dispersion dn/dλ
- -0.0655551 µm⁻¹
- Group index ng
- 1.51778
- Group velocity dispersion
- 120.246 fs²/mm
- Dispersion parameter D
- -656.005 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
# (C2H4O)n (Polyvinyl alcohol, PVA): Schnepf et al. 2017: n 0.3–1.5 µm
mat = ls.fetch_refractiveindex("organic", "polyvinyl_alcohol", "Schnepf", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(mat.range_nm) # (300, 1500) 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_fd5f4a5a8c1d/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 (polyvinyl-alcohol/schnepf-2017).
# ... 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=400, 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"]).
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
Cauchy (formula 5), λ in µmValid from 0.3 to 1.5 µm.
Coefficients as stored
| Ci | Value |
|---|---|
| C1 | 1.46 |
| C2 | 0.00665 |
| C3 | -2.0 |
Comments and conditions
Conditions
- substrate
- Si
References
- doi:10.1039/c7nr02952g Nanorattles with tailored electric field enhancement, Nanoscale (2017)
Cite
Max J. Schnepf et al.. Nanorattles with tailored electric field enhancement. Nanoscale, 9, 9376-9385 (2017), doi:10.1039/c7nr02952g; 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 |
|---|---|
| 0.3 | 1.533889 |
| 0.301213 | 1.533295 |
| 0.30243 | 1.532706 |
| 0.303652 | 1.532122 |
| 0.30488 | 1.531543 |
| 0.306112 | 1.530968 |
| 0.307349 | 1.530398 |
| 0.308591 | 1.529832 |
| 0.309839 | 1.529271 |
| 0.311091 | 1.528714 |
| 0.312348 | 1.528162 |
| 0.313611 | 1.527614 |
| 0.314878 | 1.527071 |
| 0.316151 | 1.526532 |
| 0.317429 | 1.525998 |
| 0.318712 | 1.525467 |
| 0.32 | 1.524941 |
| 0.321293 | 1.52442 |
| 0.322592 | 1.523902 |
| 0.323896 | 1.523389 |
| 0.325205 | 1.522879 |
| 0.32652 | 1.522374 |
| 0.327839 | 1.521873 |
| 0.329164 | 1.521376 |
| 0.330495 | 1.520883 |
| 0.331831 | 1.520393 |
| 0.333172 | 1.519908 |
| 0.334518 | 1.519427 |
| 0.33587 | 1.518949 |
| 0.337228 | 1.518476 |
| 0.338591 | 1.518006 |
| 0.33996 | 1.51754 |
| 0.341334 | 1.517077 |
| 0.342713 | 1.516619 |
| 0.344098 | 1.516164 |
| 0.345489 | 1.515713 |
| 0.346886 | 1.515265 |
| 0.348288 | 1.514821 |
| 0.349695 | 1.51438 |
| 0.351109 | 1.513943 |
| 0.352528 | 1.51351 |
| 0.353953 | 1.51308 |
| 0.355383 | 1.512654 |
| 0.35682 | 1.51223 |
| 0.358262 | 1.511811 |
| 0.35971 | 1.511395 |
| 0.361164 | 1.510982 |
| 0.362624 | 1.510572 |
| 0.364089 | 1.510166 |
| 0.365561 | 1.509763 |
| 0.367038 | 1.509363 |
| 0.368522 | 1.508966 |
| 0.370011 | 1.508573 |
| 0.371507 | 1.508182 |
| 0.373008 | 1.507795 |
| 0.374516 | 1.507411 |
| 0.37603 | 1.50703 |
| 0.37755 | 1.506652 |
| 0.379076 | 1.506277 |
| 0.380608 | 1.505906 |
| 0.382146 | 1.505537 |
| 0.383691 | 1.505171 |
| 0.385242 | 1.504808 |
| 0.386799 | 1.504448 |
| 0.388362 | 1.504091 |
| 0.389932 | 1.503737 |
| 0.391508 | 1.503385 |
| 0.39309 | 1.503037 |
| 0.394679 | 1.502691 |
| 0.396274 | 1.502348 |
| 0.397876 | 1.502007 |
| 0.399484 | 1.50167 |
| 0.401099 | 1.501335 |
| 0.40272 | 1.501003 |
| 0.404348 | 1.500674 |
| 0.405982 | 1.500347 |
| 0.407623 | 1.500023 |
| 0.40927 | 1.499701 |
| 0.410924 | 1.499382 |
| 0.412585 | 1.499066 |
| 0.414253 | 1.498752 |
| 0.415927 | 1.49844 |
| 0.417608 | 1.498131 |
| 0.419296 | 1.497825 |
| 0.420991 | 1.497521 |
| 0.422693 | 1.49722 |
| 0.424401 | 1.496921 |
| 0.426116 | 1.496624 |
| 0.427839 | 1.49633 |
| 0.429568 | 1.496038 |
| 0.431304 | 1.495748 |
| 0.433047 | 1.495461 |
| 0.434798 | 1.495176 |
| 0.436555 | 1.494893 |
| 0.43832 | 1.494613 |
| 0.440091 | 1.494335 |
| 0.44187 | 1.494059 |
| 0.443656 | 1.493785 |
| 0.445449 | 1.493514 |
| 0.44725 | 1.493245 |
| 0.449057 | 1.492978 |
| 0.450872 | 1.492713 |
| 0.452695 | 1.49245 |
| 0.454524 | 1.492189 |
| 0.456361 | 1.49193 |
| 0.458206 | 1.491674 |
| 0.460058 | 1.491419 |
| 0.461917 | 1.491167 |
| 0.463784 | 1.490916 |
| 0.465659 | 1.490668 |
| 0.467541 | 1.490422 |
| 0.469431 | 1.490177 |
| 0.471328 | 1.489935 |
| 0.473233 | 1.489694 |
| 0.475146 | 1.489456 |
| 0.477066 | 1.489219 |
| 0.478995 | 1.488984 |
| 0.480931 | 1.488751 |
| 0.482874 | 1.48852 |
| 0.484826 | 1.488291 |
| 0.486786 | 1.488064 |
| 0.488753 | 1.487838 |
| 0.490729 | 1.487615 |
| 0.492712 | 1.487393 |
| 0.494704 | 1.487173 |
| 0.496703 | 1.486954 |
| 0.498711 | 1.486738 |
| 0.500726 | 1.486523 |
| 0.50275 | 1.48631 |
| 0.504782 | 1.486098 |
| 0.506822 | 1.485889 |
| 0.508871 | 1.485681 |
| 0.510928 | 1.485474 |
| 0.512993 | 1.48527 |
| 0.515066 | 1.485067 |
| 0.517148 | 1.484865 |
| 0.519238 | 1.484665 |
| 0.521337 | 1.484467 |
| 0.523444 | 1.484271 |
| 0.52556 | 1.484076 |
| 0.527684 | 1.483882 |
| 0.529817 | 1.48369 |
| 0.531958 | 1.4835 |
| 0.534108 | 1.483311 |
| 0.536267 | 1.483124 |
| 0.538435 | 1.482938 |
| 0.540611 | 1.482754 |
| 0.542796 | 1.482571 |
| 0.54499 | 1.48239 |
| 0.547192 | 1.48221 |
| 0.549404 | 1.482031 |
| 0.551625 | 1.481854 |
| 0.553854 | 1.481679 |
| 0.556093 | 1.481504 |
| 0.558341 | 1.481332 |
| 0.560597 | 1.48116 |
| 0.562863 | 1.48099 |
| 0.565138 | 1.480822 |
| 0.567422 | 1.480654 |
| 0.569716 | 1.480488 |
| 0.572018 | 1.480324 |
| 0.57433 | 1.48016 |
| 0.576652 | 1.479998 |
| 0.578982 | 1.479838 |
| 0.581323 | 1.479678 |
| 0.583672 | 1.47952 |
| 0.586031 | 1.479363 |
| 0.5884 | 1.479208 |
| 0.590778 | 1.479053 |
| 0.593166 | 1.4789 |
| 0.595563 | 1.478748 |
| 0.597971 | 1.478598 |
| 0.600387 | 1.478448 |
| 0.602814 | 1.4783 |
| 0.605251 | 1.478153 |
| 0.607697 | 1.478007 |
| 0.610153 | 1.477863 |
| 0.612619 | 1.477719 |
| 0.615095 | 1.477577 |
| 0.617581 | 1.477435 |
| 0.620078 | 1.477295 |
| 0.622584 | 1.477156 |
| 0.6251 | 1.477019 |
| 0.627627 | 1.476882 |
| 0.630164 | 1.476746 |
| 0.632711 | 1.476612 |
| 0.635268 | 1.476478 |
| 0.637836 | 1.476346 |
| 0.640414 | 1.476214 |
| 0.643002 | 1.476084 |
| 0.645601 | 1.475955 |
| 0.64821 | 1.475827 |
| 0.65083 | 1.4757 |
| 0.653461 | 1.475573 |
| 0.656102 | 1.475448 |
| 0.658754 | 1.475324 |
| 0.661416 | 1.475201 |
| 0.66409 | 1.475079 |
| 0.666774 | 1.474958 |
| 0.669469 | 1.474838 |
| 0.672175 | 1.474718 |
| 0.674892 | 1.4746 |
| 0.677619 | 1.474483 |
| 0.680358 | 1.474366 |
| 0.683108 | 1.474251 |
| 0.685869 | 1.474136 |
| 0.688641 | 1.474023 |
| 0.691425 | 1.47391 |
| 0.694219 | 1.473798 |
| 0.697025 | 1.473688 |
| 0.699842 | 1.473578 |
| 0.702671 | 1.473468 |
| 0.705511 | 1.47336 |
| 0.708363 | 1.473253 |
| 0.711226 | 1.473146 |
| 0.7141 | 1.473041 |
| 0.716987 | 1.472936 |
| 0.719885 | 1.472832 |
| 0.722794 | 1.472729 |
| 0.725716 | 1.472627 |
| 0.728649 | 1.472525 |
| 0.731594 | 1.472425 |
| 0.734551 | 1.472325 |
| 0.73752 | 1.472226 |
| 0.740501 | 1.472127 |
| 0.743494 | 1.47203 |
| 0.746499 | 1.471933 |
| 0.749516 | 1.471837 |
| 0.752545 | 1.471742 |
| 0.755587 | 1.471648 |
| 0.758641 | 1.471554 |
| 0.761707 | 1.471462 |
| 0.764786 | 1.47137 |
| 0.767877 | 1.471278 |
| 0.770981 | 1.471188 |
| 0.774097 | 1.471098 |
| 0.777226 | 1.471008 |
| 0.780367 | 1.47092 |
| 0.783521 | 1.470832 |
| 0.786688 | 1.470745 |
| 0.789868 | 1.470659 |
| 0.79306 | 1.470573 |
| 0.796266 | 1.470488 |
| 0.799484 | 1.470404 |
| 0.802715 | 1.47032 |
| 0.80596 | 1.470238 |
| 0.809217 | 1.470155 |
| 0.812488 | 1.470074 |
| 0.815772 | 1.469993 |
| 0.819069 | 1.469912 |
| 0.82238 | 1.469833 |
| 0.825704 | 1.469754 |
| 0.829041 | 1.469675 |
| 0.832392 | 1.469598 |
| 0.835756 | 1.469521 |
| 0.839134 | 1.469444 |
| 0.842526 | 1.469368 |
| 0.845931 | 1.469293 |
| 0.84935 | 1.469218 |
| 0.852783 | 1.469144 |
| 0.85623 | 1.469071 |
| 0.859691 | 1.468998 |
| 0.863165 | 1.468926 |
| 0.866654 | 1.468854 |
| 0.870157 | 1.468783 |
| 0.873674 | 1.468712 |
| 0.877205 | 1.468642 |
| 0.880751 | 1.468573 |
| 0.884311 | 1.468504 |
| 0.887885 | 1.468435 |
| 0.891474 | 1.468368 |
| 0.895077 | 1.4683 |
| 0.898695 | 1.468234 |
| 0.902327 | 1.468168 |
| 0.905974 | 1.468102 |
| 0.909636 | 1.468037 |
| 0.913312 | 1.467972 |
| 0.917004 | 1.467908 |
| 0.92071 | 1.467845 |
| 0.924431 | 1.467782 |
| 0.928168 | 1.467719 |
| 0.931919 | 1.467657 |
| 0.935686 | 1.467596 |
| 0.939468 | 1.467535 |
| 0.943265 | 1.467474 |
| 0.947078 | 1.467414 |
| 0.950905 | 1.467354 |
| 0.954749 | 1.467295 |
| 0.958608 | 1.467237 |
| 0.962482 | 1.467179 |
| 0.966373 | 1.467121 |
| 0.970278 | 1.467064 |
| 0.9742 | 1.467007 |
| 0.978138 | 1.466951 |
| 0.982091 | 1.466895 |
| 0.986061 | 1.466839 |
| 0.990046 | 1.466784 |
| 0.994048 | 1.46673 |
| 0.998065 | 1.466676 |
| 1.0021 | 1.466622 |
| 1.00615 | 1.466569 |
| 1.01022 | 1.466516 |
| 1.0143 | 1.466464 |
| 1.0184 | 1.466412 |
| 1.02252 | 1.46636 |
| 1.02665 | 1.466309 |
| 1.0308 | 1.466259 |
| 1.03496 | 1.466208 |
| 1.03915 | 1.466158 |
| 1.04335 | 1.466109 |
| 1.04756 | 1.46606 |
| 1.0518 | 1.466011 |
| 1.05605 | 1.465963 |
| 1.06032 | 1.465915 |
| 1.0646 | 1.465867 |
| 1.06891 | 1.46582 |
| 1.07323 | 1.465773 |
| 1.07756 | 1.465727 |
| 1.08192 | 1.465681 |
| 1.08629 | 1.465635 |
| 1.09068 | 1.46559 |
| 1.09509 | 1.465545 |
| 1.09952 | 1.465501 |
| 1.10396 | 1.465456 |
| 1.10842 | 1.465413 |
| 1.1129 | 1.465369 |
| 1.1174 | 1.465326 |
| 1.12192 | 1.465283 |
| 1.12645 | 1.465241 |
| 1.13101 | 1.465199 |
| 1.13558 | 1.465157 |
| 1.14017 | 1.465115 |
| 1.14478 | 1.465074 |
| 1.1494 | 1.465034 |
| 1.15405 | 1.464993 |
| 1.15871 | 1.464953 |
| 1.1634 | 1.464913 |
| 1.1681 | 1.464874 |
| 1.17282 | 1.464835 |
| 1.17756 | 1.464796 |
| 1.18232 | 1.464757 |
| 1.1871 | 1.464719 |
| 1.1919 | 1.464681 |
| 1.19671 | 1.464643 |
| 1.20155 | 1.464606 |
| 1.20641 | 1.464569 |
| 1.21128 | 1.464532 |
| 1.21618 | 1.464496 |
| 1.22109 | 1.46446 |
| 1.22603 | 1.464424 |
| 1.23099 | 1.464388 |
| 1.23596 | 1.464353 |
| 1.24096 | 1.464318 |
| 1.24597 | 1.464284 |
| 1.25101 | 1.464249 |
| 1.25606 | 1.464215 |
| 1.26114 | 1.464181 |
| 1.26624 | 1.464148 |
| 1.27136 | 1.464114 |
| 1.27649 | 1.464081 |
| 1.28165 | 1.464048 |
| 1.28683 | 1.464016 |
| 1.29204 | 1.463984 |
| 1.29726 | 1.463952 |
| 1.3025 | 1.46392 |
| 1.30777 | 1.463888 |
| 1.31305 | 1.463857 |
| 1.31836 | 1.463826 |
| 1.32369 | 1.463795 |
| 1.32904 | 1.463765 |
| 1.33441 | 1.463735 |
| 1.3398 | 1.463705 |
| 1.34522 | 1.463675 |
| 1.35065 | 1.463645 |
| 1.35611 | 1.463616 |
| 1.3616 | 1.463587 |
| 1.3671 | 1.463558 |
| 1.37262 | 1.46353 |
| 1.37817 | 1.463501 |
| 1.38374 | 1.463473 |
| 1.38933 | 1.463445 |
| 1.39495 | 1.463417 |
| 1.40059 | 1.46339 |
| 1.40625 | 1.463363 |
| 1.41193 | 1.463336 |
| 1.41764 | 1.463309 |
| 1.42337 | 1.463282 |
| 1.42912 | 1.463256 |
| 1.4349 | 1.46323 |
| 1.4407 | 1.463204 |
| 1.44652 | 1.463178 |
| 1.45237 | 1.463153 |
| 1.45824 | 1.463127 |
| 1.46413 | 1.463102 |
| 1.47005 | 1.463077 |
| 1.47599 | 1.463052 |
| 1.48196 | 1.463028 |
| 1.48795 | 1.463004 |
| 1.49396 | 1.462979 |
| 1.5 | 1.462956 |
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
- —
Isotropic PVA (polyvinyl alcohol) thin film on silicon substrate.
k = 0.0050±0.0004