Optical constants
Refractive index of (C6H9NO)n (Polyvinylpyrrolidone, PVP)
König et al. 2014: n,k 0.375–1.0 µm
- Data
- formula 5 + tabulated nk
- Range
- 0.375–1 µm
- Licence
- CC0-1.0
Plot
Click the plot to set the calculator wavelength.
At one wavelength
- Refractive index n
- 1.52744
- Extinction coefficient k
- 0.00207392
- Permittivity ε1
- 2.33306
- Permittivity ε2
- 0.00633556
- Absorption coefficient α
- 443.527 cm⁻¹
- Penetration depth δ = λ/(2πk)
- 45093.1 nm
- Abbe number Vd
- 45.159
- Chromatic dispersion dn/dλ
- -0.0564862 µm⁻¹
- Group index ng
- 1.56063
- Group velocity dispersion
- 139.052 fs²/mm
- Dispersion parameter D
- -758.605 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
# (C6H9NO)n (Polyvinylpyrrolidone, PVP): König et al. 2014: n,k 0.375–1.0 µm
mat = ls.fetch_refractiveindex("organic", "polyvinylpyrrolidone", "Konig", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(mat.range_nm) # (375, 1000) 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_aed184c27f3f/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 (polyvinylpyrrolidone/konig-2014).
# ... 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 0.375 to 1.0 µm.
Coefficients as stored
| Ci | Value |
|---|---|
| C1 | 1.5151 |
| C2 | 0.00279 |
| C3 | -2.0 |
| C4 | 0.00050756 |
| C5 | -4.0 |
Comments and conditions
References
- doi:10.1021/nn501601e Electrically Tunable Plasmonic Behavior of Nanocube–Polymer Nanomaterials Induced by a Redox-Active Electrochromic Polymer, ACS Nano (2014)
Cite
Tobias A. F. König et al.. Electrically Tunable Plasmonic Behavior of Nanocube–Polymer Nanomaterials Induced by a Redox-Active Electrochromic Polymer. ACS Nano, 8, 6182-6192 (2014), doi:10.1021/nn501601e; Data from the refractiveindex.info database (M. N. Polyanskiy, Sci. Data 11, 94 (2024), doi:10.1038/s41597-023-02898-2)
Data
Computed on 424 wavelengths, the same grid as the API and the library| λ (µm) | n | k |
|---|---|---|
| 0.375 | 1.560606 | 0.004554368 |
| 0.375923 | 1.560258 | 0.004532977 |
| 0.376848 | 1.559912 | 0.004511533 |
| 0.377776 | 1.55957 | 0.004490037 |
| 0.378706 | 1.55923 | 0.004468488 |
| 0.379638 | 1.558893 | 0.004446886 |
| 0.380572 | 1.558559 | 0.00442523 |
| 0.381509 | 1.558228 | 0.004403522 |
| 0.382448 | 1.557899 | 0.00438176 |
| 0.383389 | 1.557574 | 0.004359944 |
| 0.384333 | 1.557251 | 0.004338074 |
| 0.385278 | 1.556931 | 0.004316151 |
| 0.386227 | 1.556613 | 0.004294174 |
| 0.387177 | 1.556298 | 0.004272143 |
| 0.38813 | 1.555986 | 0.004250057 |
| 0.389086 | 1.555676 | 0.004227918 |
| 0.390043 | 1.555369 | 0.004205723 |
| 0.391003 | 1.555065 | 0.004183474 |
| 0.391966 | 1.554763 | 0.004161171 |
| 0.39293 | 1.554463 | 0.004138812 |
| 0.393897 | 1.554166 | 0.004116398 |
| 0.394867 | 1.553872 | 0.00409393 |
| 0.395839 | 1.55358 | 0.004071405 |
| 0.396813 | 1.55329 | 0.004048826 |
| 0.39779 | 1.553003 | 0.004026191 |
| 0.398769 | 1.552718 | 0.0040035 |
| 0.39975 | 1.552435 | 0.003980753 |
| 0.4 | 1.552364 | 0.003974963 |
| 0.400734 | 1.552155 | 0.003961759 |
| 0.40172 | 1.551878 | 0.003944017 |
| 0.402709 | 1.551602 | 0.003926231 |
| 0.4037 | 1.551329 | 0.003908402 |
| 0.404694 | 1.551058 | 0.003890528 |
| 0.40569 | 1.550789 | 0.003872611 |
| 0.406688 | 1.550523 | 0.00385465 |
| 0.407689 | 1.550259 | 0.003836644 |
| 0.408693 | 1.549996 | 0.003818594 |
| 0.409699 | 1.549736 | 0.0038005 |
| 0.410707 | 1.549479 | 0.003782361 |
| 0.411718 | 1.549223 | 0.003764177 |
| 0.412731 | 1.548969 | 0.003745949 |
| 0.413747 | 1.548718 | 0.003727676 |
| 0.414765 | 1.548469 | 0.003709358 |
| 0.415786 | 1.548221 | 0.003690994 |
| 0.41681 | 1.547976 | 0.003672586 |
| 0.417835 | 1.547733 | 0.003654132 |
| 0.418864 | 1.547491 | 0.003635633 |
| 0.419895 | 1.547252 | 0.003617089 |
| 0.420928 | 1.547015 | 0.003598498 |
| 0.421964 | 1.546779 | 0.003579862 |
| 0.423003 | 1.546546 | 0.00356118 |
| 0.424044 | 1.546314 | 0.003542452 |
| 0.425 | 1.546104 | 0.003525253 |
| 0.425088 | 1.546084 | 0.003524004 |
| 0.426134 | 1.545857 | 0.00350907 |
| 0.427183 | 1.545631 | 0.003494099 |
| 0.428234 | 1.545406 | 0.003479092 |
| 0.429288 | 1.545184 | 0.003464047 |
| 0.430345 | 1.544964 | 0.003448966 |
| 0.431404 | 1.544745 | 0.003433847 |
| 0.432466 | 1.544528 | 0.003418692 |
| 0.43353 | 1.544313 | 0.003403499 |
| 0.434597 | 1.5441 | 0.003388268 |
| 0.435667 | 1.543888 | 0.003373 |
| 0.436739 | 1.543678 | 0.003357695 |
| 0.437814 | 1.54347 | 0.003342352 |
| 0.438891 | 1.543263 | 0.003326971 |
| 0.439972 | 1.543058 | 0.003311552 |
| 0.441055 | 1.542855 | 0.003296095 |
| 0.44214 | 1.542654 | 0.0032806 |
| 0.443228 | 1.542454 | 0.003265068 |
| 0.444319 | 1.542255 | 0.003249496 |
| 0.445413 | 1.542058 | 0.003233887 |
| 0.446509 | 1.541863 | 0.003218239 |
| 0.447608 | 1.54167 | 0.003202553 |
| 0.44871 | 1.541478 | 0.003186828 |
| 0.449814 | 1.541287 | 0.003171064 |
| 0.45 | 1.541255 | 0.003168409 |
| 0.450921 | 1.541098 | 0.003157778 |
| 0.452031 | 1.540911 | 0.003144968 |
| 0.453144 | 1.540725 | 0.003132127 |
| 0.454259 | 1.540541 | 0.003119254 |
| 0.455377 | 1.540358 | 0.003106349 |
| 0.456498 | 1.540176 | 0.003093413 |
| 0.457621 | 1.539996 | 0.003080445 |
| 0.458748 | 1.539818 | 0.003067445 |
| 0.459877 | 1.53964 | 0.003054413 |
| 0.461008 | 1.539465 | 0.003041349 |
| 0.462143 | 1.53929 | 0.003028253 |
| 0.463281 | 1.539117 | 0.003015124 |
| 0.464421 | 1.538946 | 0.003001964 |
| 0.465564 | 1.538776 | 0.00298877 |
| 0.46671 | 1.538607 | 0.002975545 |
| 0.467858 | 1.538439 | 0.002962287 |
| 0.46901 | 1.538273 | 0.002948996 |
| 0.470164 | 1.538108 | 0.002935672 |
| 0.471321 | 1.537945 | 0.002922316 |
| 0.472481 | 1.537783 | 0.002908927 |
| 0.473644 | 1.537622 | 0.002895504 |
| 0.47481 | 1.537462 | 0.002882049 |
| 0.475 | 1.537436 | 0.002879858 |
| 0.475979 | 1.537303 | 0.002870573 |
| 0.47715 | 1.537146 | 0.00285946 |
| 0.478325 | 1.53699 | 0.002848319 |
| 0.479502 | 1.536836 | 0.002837151 |
| 0.480682 | 1.536682 | 0.002825956 |
| 0.481865 | 1.53653 | 0.002814733 |
| 0.483051 | 1.536379 | 0.002803482 |
| 0.48424 | 1.536229 | 0.002792204 |
| 0.485432 | 1.53608 | 0.002780898 |
| 0.486627 | 1.535933 | 0.002769564 |
| 0.487824 | 1.535787 | 0.002758202 |
| 0.489025 | 1.535641 | 0.002746812 |
| 0.490229 | 1.535497 | 0.002735394 |
| 0.491435 | 1.535354 | 0.002723948 |
| 0.492645 | 1.535213 | 0.002712474 |
| 0.493857 | 1.535072 | 0.002700972 |
| 0.495073 | 1.534932 | 0.002689441 |
| 0.496291 | 1.534794 | 0.002677882 |
| 0.497513 | 1.534656 | 0.002666295 |
| 0.498737 | 1.53452 | 0.002654679 |
| 0.499965 | 1.534385 | 0.002643034 |
| 0.5 | 1.534381 | 0.0026427 |
| 0.501195 | 1.534251 | 0.002633248 |
| 0.502429 | 1.534117 | 0.002623493 |
| 0.503665 | 1.533985 | 0.002613714 |
| 0.504905 | 1.533854 | 0.002603911 |
| 0.506148 | 1.533724 | 0.002594084 |
| 0.507394 | 1.533595 | 0.002584233 |
| 0.508642 | 1.533467 | 0.002574357 |
| 0.509894 | 1.53334 | 0.002564457 |
| 0.511149 | 1.533214 | 0.002554533 |
| 0.512407 | 1.533089 | 0.002544584 |
| 0.513668 | 1.532964 | 0.002534611 |
| 0.514933 | 1.532841 | 0.002524613 |
| 0.5162 | 1.532719 | 0.002514591 |
| 0.517471 | 1.532598 | 0.002504544 |
| 0.518744 | 1.532477 | 0.002494473 |
| 0.520021 | 1.532358 | 0.002484376 |
| 0.521301 | 1.532239 | 0.002474255 |
| 0.522584 | 1.532122 | 0.002464109 |
| 0.52387 | 1.532005 | 0.002453937 |
| 0.525 | 1.531904 | 0.002445002 |
| 0.525159 | 1.531889 | 0.002443938 |
| 0.526452 | 1.531774 | 0.002435311 |
| 0.527748 | 1.53166 | 0.002426662 |
| 0.529047 | 1.531547 | 0.002417993 |
| 0.530349 | 1.531435 | 0.002409302 |
| 0.531654 | 1.531324 | 0.00240059 |
| 0.532963 | 1.531213 | 0.002391856 |
| 0.534274 | 1.531103 | 0.002383101 |
| 0.535589 | 1.530994 | 0.002374324 |
| 0.536908 | 1.530886 | 0.002365526 |
| 0.538229 | 1.530779 | 0.002356706 |
| 0.539554 | 1.530673 | 0.002347864 |
| 0.540882 | 1.530567 | 0.002339 |
| 0.542213 | 1.530462 | 0.002330115 |
| 0.543547 | 1.530358 | 0.002321208 |
| 0.544885 | 1.530255 | 0.002312279 |
| 0.546226 | 1.530153 | 0.002303328 |
| 0.547571 | 1.530051 | 0.002294354 |
| 0.548918 | 1.52995 | 0.002285359 |
| 0.55 | 1.52987 | 0.002278141 |
| 0.550269 | 1.52985 | 0.002276606 |
| 0.551624 | 1.529751 | 0.002268892 |
| 0.552982 | 1.529652 | 0.00226116 |
| 0.554343 | 1.529554 | 0.002253408 |
| 0.555707 | 1.529457 | 0.002245637 |
| 0.557075 | 1.529361 | 0.002237847 |
| 0.558446 | 1.529265 | 0.002230038 |
| 0.55982 | 1.52917 | 0.00222221 |
| 0.561198 | 1.529076 | 0.002214363 |
| 0.562579 | 1.528982 | 0.002206496 |
| 0.563964 | 1.528889 | 0.00219861 |
| 0.565352 | 1.528797 | 0.002190704 |
| 0.566743 | 1.528706 | 0.002182779 |
| 0.568138 | 1.528615 | 0.002174834 |
| 0.569537 | 1.528525 | 0.00216687 |
| 0.570938 | 1.528436 | 0.002158886 |
| 0.572344 | 1.528347 | 0.002150883 |
| 0.573752 | 1.528259 | 0.00214286 |
| 0.575 | 1.528182 | 0.002135754 |
| 0.575164 | 1.528172 | 0.002134947 |
| 0.57658 | 1.528085 | 0.002128 |
| 0.577999 | 1.527999 | 0.002121035 |
| 0.579422 | 1.527913 | 0.002114054 |
| 0.580848 | 1.527829 | 0.002107055 |
| 0.582278 | 1.527744 | 0.002100039 |
| 0.583711 | 1.527661 | 0.002093006 |
| 0.585147 | 1.527578 | 0.002085956 |
| 0.586587 | 1.527495 | 0.002078888 |
| 0.588031 | 1.527414 | 0.002071802 |
| 0.589479 | 1.527333 | 0.0020647 |
| 0.590929 | 1.527252 | 0.00205758 |
| 0.592384 | 1.527172 | 0.002050442 |
| 0.593842 | 1.527093 | 0.002043287 |
| 0.595303 | 1.527014 | 0.002036114 |
| 0.596769 | 1.526936 | 0.002028923 |
| 0.598237 | 1.526858 | 0.002021715 |
| 0.59971 | 1.526781 | 0.002014489 |
| 0.6 | 1.526766 | 0.002013065 |
| 0.601186 | 1.526705 | 0.002008007 |
| 0.602665 | 1.526629 | 0.002001695 |
| 0.604149 | 1.526554 | 0.001995368 |
| 0.605636 | 1.526479 | 0.001989025 |
| 0.607126 | 1.526405 | 0.001982667 |
| 0.608621 | 1.526331 | 0.001976293 |
| 0.610119 | 1.526258 | 0.001969903 |
| 0.61162 | 1.526185 | 0.001963498 |
| 0.613126 | 1.526113 | 0.001957076 |
| 0.614635 | 1.526042 | 0.001950639 |
| 0.616147 | 1.525971 | 0.001944187 |
| 0.617664 | 1.5259 | 0.001937718 |
| 0.619184 | 1.52583 | 0.001931233 |
| 0.620708 | 1.525761 | 0.001924733 |
| 0.622236 | 1.525692 | 0.001918216 |
| 0.623767 | 1.525623 | 0.001911683 |
| 0.625 | 1.525569 | 0.001906425 |
| 0.625302 | 1.525555 | 0.001905295 |
| 0.626842 | 1.525488 | 0.001899544 |
| 0.628384 | 1.525421 | 0.001893779 |
| 0.629931 | 1.525354 | 0.001888 |
| 0.631481 | 1.525288 | 0.001882207 |
| 0.633036 | 1.525223 | 0.001876399 |
| 0.634594 | 1.525158 | 0.001870577 |
| 0.636156 | 1.525093 | 0.001864741 |
| 0.637721 | 1.525029 | 0.00185889 |
| 0.639291 | 1.524965 | 0.001853025 |
| 0.640864 | 1.524902 | 0.001847146 |
| 0.642442 | 1.524839 | 0.001841252 |
| 0.644023 | 1.524777 | 0.001835344 |
| 0.645608 | 1.524715 | 0.001829421 |
| 0.647197 | 1.524654 | 0.001823483 |
| 0.64879 | 1.524593 | 0.001817531 |
| 0.65 | 1.524547 | 0.001813009 |
| 0.650387 | 1.524532 | 0.001811735 |
| 0.651987 | 1.524472 | 0.001806458 |
| 0.653592 | 1.524413 | 0.001801168 |
| 0.655201 | 1.524353 | 0.001795866 |
| 0.656813 | 1.524294 | 0.00179055 |
| 0.65843 | 1.524236 | 0.001785221 |
| 0.66005 | 1.524178 | 0.001779879 |
| 0.661675 | 1.524121 | 0.001774524 |
| 0.663304 | 1.524063 | 0.001769155 |
| 0.664936 | 1.524007 | 0.001763774 |
| 0.666573 | 1.52395 | 0.001758379 |
| 0.668213 | 1.523894 | 0.001752971 |
| 0.669858 | 1.523839 | 0.00174755 |
| 0.671507 | 1.523784 | 0.001742115 |
| 0.673159 | 1.523729 | 0.001736667 |
| 0.674816 | 1.523674 | 0.001731206 |
| 0.675 | 1.523668 | 0.001730599 |
| 0.676477 | 1.52362 | 0.001726277 |
| 0.678142 | 1.523567 | 0.001721404 |
| 0.679811 | 1.523514 | 0.001716519 |
| 0.681484 | 1.523461 | 0.001711623 |
| 0.683162 | 1.523408 | 0.001706714 |
| 0.684843 | 1.523356 | 0.001701793 |
| 0.686529 | 1.523304 | 0.00169686 |
| 0.688218 | 1.523253 | 0.001691915 |
| 0.689912 | 1.523202 | 0.001686957 |
| 0.69161 | 1.523151 | 0.001681988 |
| 0.693312 | 1.523101 | 0.001677006 |
| 0.695019 | 1.523051 | 0.001672012 |
| 0.696729 | 1.523001 | 0.001667006 |
| 0.698444 | 1.522952 | 0.001661987 |
| 0.7 | 1.522908 | 0.001657434 |
| 0.700163 | 1.522903 | 0.001657007 |
| 0.701887 | 1.522855 | 0.001652504 |
| 0.703614 | 1.522806 | 0.001647989 |
| 0.705346 | 1.522758 | 0.001643463 |
| 0.707082 | 1.522711 | 0.001638926 |
| 0.708822 | 1.522664 | 0.001634378 |
| 0.710567 | 1.522617 | 0.001629818 |
| 0.712316 | 1.52257 | 0.001625248 |
| 0.714069 | 1.522524 | 0.001620666 |
| 0.715826 | 1.522478 | 0.001616073 |
| 0.717588 | 1.522432 | 0.001611468 |
| 0.719354 | 1.522387 | 0.001606853 |
| 0.721125 | 1.522342 | 0.001602225 |
| 0.7229 | 1.522297 | 0.001597587 |
| 0.724679 | 1.522253 | 0.001592937 |
| 0.725 | 1.522245 | 0.001592098 |
| 0.726462 | 1.522209 | 0.001588666 |
| 0.72825 | 1.522165 | 0.001584471 |
| 0.730043 | 1.522122 | 0.001580266 |
| 0.73184 | 1.522079 | 0.00157605 |
| 0.733641 | 1.522036 | 0.001571824 |
| 0.735447 | 1.521993 | 0.001567588 |
| 0.737257 | 1.521951 | 0.001563341 |
| 0.739071 | 1.521909 | 0.001559084 |
| 0.74089 | 1.521867 | 0.001554816 |
| 0.742714 | 1.521826 | 0.001550538 |
| 0.744542 | 1.521785 | 0.001546249 |
| 0.746374 | 1.521744 | 0.001541949 |
| 0.748211 | 1.521703 | 0.00153764 |
| 0.75 | 1.521664 | 0.001533443 |
| 0.750053 | 1.521663 | 0.001533331 |
| 0.751899 | 1.521623 | 0.001529424 |
| 0.75375 | 1.521583 | 0.001525507 |
| 0.755605 | 1.521544 | 0.001521581 |
| 0.757464 | 1.521505 | 0.001517644 |
| 0.759329 | 1.521466 | 0.001513699 |
| 0.761198 | 1.521427 | 0.001509743 |
| 0.763071 | 1.521389 | 0.001505778 |
| 0.764949 | 1.52135 | 0.001501803 |
| 0.766832 | 1.521313 | 0.001497818 |
| 0.768719 | 1.521275 | 0.001493823 |
| 0.770611 | 1.521238 | 0.001489819 |
| 0.772508 | 1.5212 | 0.001485805 |
| 0.774409 | 1.521164 | 0.001481781 |
| 0.775 | 1.521152 | 0.00148053 |
| 0.776315 | 1.521127 | 0.001478008 |
| 0.778226 | 1.521091 | 0.001474343 |
| 0.780141 | 1.521054 | 0.00147067 |
| 0.782062 | 1.521018 | 0.001466987 |
| 0.783986 | 1.520983 | 0.001463296 |
| 0.785916 | 1.520947 | 0.001459595 |
| 0.78785 | 1.520912 | 0.001455885 |
| 0.789789 | 1.520877 | 0.001452166 |
| 0.791733 | 1.520843 | 0.001448438 |
| 0.793682 | 1.520808 | 0.001444701 |
| 0.795635 | 1.520774 | 0.001440955 |
| 0.797594 | 1.52074 | 0.001437199 |
| 0.799557 | 1.520706 | 0.001433434 |
| 0.8 | 1.520699 | 0.001432584 |
| 0.801525 | 1.520673 | 0.001429924 |
| 0.803497 | 1.520639 | 0.001426481 |
| 0.805475 | 1.520606 | 0.00142303 |
| 0.807457 | 1.520573 | 0.001419571 |
| 0.809445 | 1.520541 | 0.001416103 |
| 0.811437 | 1.520508 | 0.001412627 |
| 0.813434 | 1.520476 | 0.001409141 |
| 0.815436 | 1.520444 | 0.001405648 |
| 0.817443 | 1.520412 | 0.001402146 |
| 0.819455 | 1.52038 | 0.001398635 |
| 0.821472 | 1.520349 | 0.001395115 |
| 0.823494 | 1.520318 | 0.001391587 |
| 0.825 | 1.520295 | 0.001388959 |
| 0.825521 | 1.520287 | 0.001388129 |
| 0.827552 | 1.520256 | 0.001384891 |
| 0.829589 | 1.520226 | 0.001381645 |
| 0.831631 | 1.520195 | 0.00137839 |
| 0.833678 | 1.520165 | 0.001375128 |
| 0.83573 | 1.520135 | 0.001371858 |
| 0.837787 | 1.520105 | 0.00136858 |
| 0.839849 | 1.520076 | 0.001365293 |
| 0.841916 | 1.520046 | 0.001361999 |
| 0.843988 | 1.520017 | 0.001358696 |
| 0.846065 | 1.519988 | 0.001355386 |
| 0.848148 | 1.519959 | 0.001352067 |
| 0.85 | 1.519934 | 0.001349114 |
| 0.850235 | 1.519931 | 0.001348771 |
| 0.852328 | 1.519902 | 0.001345714 |
| 0.854425 | 1.519874 | 0.00134265 |
| 0.856528 | 1.519846 | 0.001339578 |
| 0.858637 | 1.519818 | 0.001336498 |
| 0.86075 | 1.51979 | 0.001333411 |
| 0.862868 | 1.519763 | 0.001330316 |
| 0.864992 | 1.519736 | 0.001327214 |
| 0.867121 | 1.519708 | 0.001324104 |
| 0.869255 | 1.519681 | 0.001320986 |
| 0.871395 | 1.519655 | 0.001317861 |
| 0.873539 | 1.519628 | 0.001314728 |
| 0.875 | 1.51961 | 0.001312594 |
| 0.875689 | 1.519601 | 0.001311668 |
| 0.877845 | 1.519575 | 0.001308773 |
| 0.880005 | 1.519549 | 0.00130587 |
| 0.882171 | 1.519523 | 0.001302961 |
| 0.884342 | 1.519497 | 0.001300044 |
| 0.886519 | 1.519472 | 0.00129712 |
| 0.888701 | 1.519446 | 0.001294189 |
| 0.890888 | 1.519421 | 0.001291251 |
| 0.893081 | 1.519396 | 0.001288305 |
| 0.895279 | 1.519371 | 0.001285353 |
| 0.897483 | 1.519346 | 0.001282393 |
| 0.899691 | 1.519321 | 0.001279425 |
| 0.9 | 1.519318 | 0.001279011 |
| 0.901906 | 1.519297 | 0.001276649 |
| 0.904126 | 1.519273 | 0.001273899 |
| 0.906351 | 1.519248 | 0.001271142 |
| 0.908582 | 1.519224 | 0.001268378 |
| 0.910818 | 1.519201 | 0.001265607 |
| 0.91306 | 1.519177 | 0.001262829 |
| 0.915307 | 1.519153 | 0.001260045 |
| 0.91756 | 1.51913 | 0.001257253 |
| 0.919818 | 1.519107 | 0.001254455 |
| 0.922082 | 1.519084 | 0.00125165 |
| 0.924351 | 1.519061 | 0.001248838 |
| 0.925 | 1.519054 | 0.001248034 |
| 0.926626 | 1.519038 | 0.00124617 |
| 0.928907 | 1.519015 | 0.001243556 |
| 0.931193 | 1.518993 | 0.001240936 |
| 0.933485 | 1.51897 | 0.001238309 |
| 0.935783 | 1.518948 | 0.001235675 |
| 0.938086 | 1.518926 | 0.001233036 |
| 0.940395 | 1.518904 | 0.001230389 |
| 0.942709 | 1.518882 | 0.001227736 |
| 0.94503 | 1.51886 | 0.001225077 |
| 0.947356 | 1.518839 | 0.001222411 |
| 0.949687 | 1.518817 | 0.001219739 |
| 0.95 | 1.518815 | 0.00121938 |
| 0.952025 | 1.518796 | 0.001217228 |
| 0.954368 | 1.518775 | 0.001214737 |
| 0.956717 | 1.518754 | 0.00121224 |
| 0.959071 | 1.518733 | 0.001209737 |
| 0.961432 | 1.518712 | 0.001207227 |
| 0.963798 | 1.518692 | 0.001204712 |
| 0.96617 | 1.518671 | 0.00120219 |
| 0.968548 | 1.518651 | 0.001199662 |
| 0.970932 | 1.518631 | 0.001197128 |
| 0.973322 | 1.518611 | 0.001194588 |
| 0.975 | 1.518597 | 0.001192804 |
| 0.975717 | 1.518591 | 0.001192095 |
| 0.978119 | 1.518571 | 0.001189721 |
| 0.980526 | 1.518551 | 0.001187342 |
| 0.98294 | 1.518531 | 0.001184956 |
| 0.985359 | 1.518512 | 0.001182565 |
| 0.987784 | 1.518493 | 0.001180168 |
| 0.990215 | 1.518473 | 0.001177765 |
| 0.992652 | 1.518454 | 0.001175356 |
| 0.995096 | 1.518435 | 0.001172941 |
| 0.997545 | 1.518416 | 0.00117052 |
| 1 | 1.518398 | 0.001168093 |
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
- —
Optical constants of poly(vinylpyrrolidone) (PVP)