Optical constants
Refractive index of In2O3-SnO2 (Indium tin oxide, ITO)
Moerland and Hoogenboom 2016: n,k 0.4–1.0 µm
- Data
- tabulated nk
- Range
- 0.401–1 µm
- Points
- 381
- Licence
- CC0-1.0
Plot
Click the plot to set the calculator wavelength.
At one wavelength
- Refractive index n
- 1.90155
- Extinction coefficient k
- 0.00224394
- Permittivity ε1
- 3.6159
- Permittivity ε2
- 0.00853395
- Absorption coefficient α
- 479.888 cm⁻¹
- Penetration depth δ = λ/(2πk)
- 41676.4 nm
- Abbe number Vd
- —
- Chromatic dispersion dn/dλ
- -0.608754 µm⁻¹
- Group index ng
- 2.25926
- Group velocity dispersion
- — fs²/mm
- Dispersion parameter D
- — 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
# In2O3-SnO2 (Indium tin oxide, ITO): Moerland and Hoogenboom 2016: n,k 0.4–1.0 µm
in2o3_sno2 = ls.fetch_refractiveindex("other", "In2O3-SnO2", "Moerland", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(in2o3_sno2.range_nm) # (401.048, 999.961) nm
eps = in2o3_sno2.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_47d183d6f24c/lightsmith"
in2o3_sno2 = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(in2o3_sno2.source) # citation and provenance travel with the data
Any dataset here, as the library's Tabulated material (in2o3-sno2/moerland-hoogenboom-2016).
# ... load in2o3_sno2 as above, then:
sim = ls.Simulation(
particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=in2o3_sno2)],
medium_index=1.0,
wavelengths=ls.WavelengthRange(start_nm=402, stop_nm=999, 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.
Comments and conditions
Conditions
- film thickness
- 17e-9
- substrate
- glass
References
- doi:10.1364/optica.3.000112 Subnanometer-accuracy optical distance ruler based on fluorescence quenching by transparent conductors, Optica (2016)
Cite
Robert J. Moerland and Jacob P. Hoogenboom. Subnanometer-accuracy optical distance ruler based on fluorescence quenching by transparent conductors. Optica, 3, 112 (2016), doi:10.1364/optica.3.000112; Data from the refractiveindex.info database (M. N. Polyanskiy, Sci. Data 11, 94 (2024), doi:10.1038/s41597-023-02898-2)
Data
381 rows as published| λ (µm) | n | k |
|---|---|---|
| 0.401047791 | 2.06348 | 0.01245 |
| 0.402637024 | 2.06099 | 0.011971 |
| 0.404226227 | 2.05855 | 0.011515 |
| 0.40581543 | 2.056157 | 0.011082 |
| 0.407404633 | 2.053809 | 0.010669 |
| 0.408993835 | 2.051504 | 0.010277 |
| 0.410583008 | 2.04924 | 0.009903 |
| 0.41217218 | 2.047016 | 0.009547 |
| 0.413761383 | 2.04483 | 0.009208 |
| 0.415350525 | 2.04268 | 0.008885 |
| 0.416939636 | 2.040565 | 0.008577 |
| 0.418528809 | 2.038484 | 0.008284 |
| 0.42011792 | 2.036436 | 0.008004 |
| 0.421707092 | 2.03442 | 0.007737 |
| 0.423296143 | 2.032434 | 0.007482 |
| 0.424885254 | 2.030478 | 0.007239 |
| 0.426474365 | 2.028551 | 0.007007 |
| 0.428063416 | 2.026651 | 0.006786 |
| 0.429652496 | 2.024778 | 0.006574 |
| 0.431241516 | 2.022931 | 0.006372 |
| 0.432830566 | 2.02111 | 0.006179 |
| 0.434419586 | 2.019313 | 0.005995 |
| 0.436008545 | 2.01754 | 0.005819 |
| 0.437597565 | 2.015789 | 0.005651 |
| 0.439186523 | 2.014062 | 0.00549 |
| 0.440775482 | 2.012356 | 0.005336 |
| 0.44236441 | 2.010671 | 0.005188 |
| 0.443953308 | 2.009007 | 0.005048 |
| 0.445542236 | 2.007362 | 0.004913 |
| 0.447131104 | 2.005738 | 0.004784 |
| 0.448719971 | 2.004132 | 0.004661 |
| 0.450308777 | 2.002544 | 0.004543 |
| 0.451897614 | 2.000974 | 0.00443 |
| 0.45348642 | 1.999421 | 0.004322 |
| 0.455075195 | 1.997886 | 0.004218 |
| 0.456663971 | 1.996366 | 0.004119 |
| 0.458252686 | 1.994863 | 0.004024 |
| 0.4598414 | 1.993375 | 0.003934 |
| 0.461430084 | 1.991902 | 0.003847 |
| 0.463018738 | 1.990445 | 0.003764 |
| 0.464607361 | 1.989001 | 0.003684 |
| 0.466195984 | 1.987571 | 0.003608 |
| 0.467784576 | 1.986155 | 0.003535 |
| 0.469373138 | 1.984752 | 0.003465 |
| 0.47096167 | 1.983362 | 0.003398 |
| 0.472550201 | 1.981985 | 0.003334 |
| 0.474138672 | 1.98062 | 0.003272 |
| 0.475727112 | 1.979266 | 0.003214 |
| 0.477315521 | 1.977924 | 0.003157 |
| 0.478903961 | 1.976594 | 0.003104 |
| 0.480492279 | 1.975275 | 0.003052 |
| 0.482080627 | 1.973966 | 0.003003 |
| 0.483668945 | 1.972668 | 0.002956 |
| 0.485257233 | 1.97138 | 0.002911 |
| 0.486845459 | 1.970102 | 0.002868 |
| 0.488433655 | 1.968834 | 0.002827 |
| 0.49002182 | 1.967575 | 0.002787 |
| 0.491609955 | 1.966325 | 0.00275 |
| 0.49319809 | 1.965084 | 0.002714 |
| 0.494786194 | 1.963853 | 0.002679 |
| 0.496374207 | 1.962629 | 0.002647 |
| 0.497962219 | 1.961414 | 0.002616 |
| 0.499550201 | 1.960207 | 0.002586 |
| 0.501138123 | 1.959008 | 0.002557 |
| 0.502726013 | 1.957817 | 0.002531 |
| 0.504313873 | 1.956633 | 0.002505 |
| 0.505901703 | 1.955457 | 0.00248 |
| 0.507489502 | 1.954288 | 0.002457 |
| 0.50907724 | 1.953126 | 0.002435 |
| 0.510664948 | 1.951971 | 0.002414 |
| 0.512252563 | 1.950822 | 0.002394 |
| 0.51384021 | 1.94968 | 0.002376 |
| 0.515427856 | 1.948544 | 0.002358 |
| 0.517015381 | 1.947415 | 0.002341 |
| 0.518602905 | 1.946291 | 0.002325 |
| 0.520190308 | 1.945173 | 0.00231 |
| 0.52177771 | 1.944062 | 0.002296 |
| 0.523365112 | 1.942955 | 0.002283 |
| 0.524952454 | 1.941854 | 0.002271 |
| 0.526539734 | 1.940759 | 0.002259 |
| 0.528127014 | 1.939669 | 0.002249 |
| 0.529714172 | 1.938583 | 0.002239 |
| 0.531301331 | 1.937503 | 0.002229 |
| 0.532888428 | 1.936428 | 0.002221 |
| 0.534475464 | 1.935357 | 0.002213 |
| 0.5360625 | 1.934291 | 0.002206 |
| 0.537649475 | 1.933229 | 0.002199 |
| 0.539236389 | 1.932172 | 0.002193 |
| 0.540823242 | 1.931119 | 0.002188 |
| 0.542410034 | 1.93007 | 0.002184 |
| 0.543996826 | 1.929026 | 0.002179 |
| 0.545583557 | 1.927985 | 0.002176 |
| 0.547170227 | 1.926948 | 0.002173 |
| 0.548756775 | 1.925915 | 0.00217 |
| 0.550343384 | 1.924885 | 0.002168 |
| 0.551929871 | 1.923859 | 0.002167 |
| 0.553516296 | 1.922837 | 0.002166 |
| 0.555102722 | 1.921818 | 0.002166 |
| 0.556689087 | 1.920802 | 0.002166 |
| 0.558275391 | 1.91979 | 0.002166 |
| 0.559861633 | 1.91878 | 0.002167 |
| 0.561447815 | 1.917774 | 0.002168 |
| 0.563033936 | 1.916771 | 0.00217 |
| 0.564619995 | 1.91577 | 0.002172 |
| 0.566205994 | 1.914773 | 0.002175 |
| 0.567791931 | 1.913778 | 0.002178 |
| 0.569377808 | 1.912786 | 0.002181 |
| 0.570963684 | 1.911796 | 0.002185 |
| 0.572549438 | 1.910809 | 0.002189 |
| 0.574135193 | 1.909825 | 0.002193 |
| 0.575720825 | 1.908843 | 0.002198 |
| 0.577306458 | 1.907863 | 0.002203 |
| 0.578891968 | 1.906885 | 0.002208 |
| 0.580477417 | 1.90591 | 0.002214 |
| 0.582062866 | 1.904937 | 0.00222 |
| 0.583648254 | 1.903966 | 0.002227 |
| 0.585233521 | 1.902997 | 0.002233 |
| 0.586818726 | 1.902029 | 0.00224 |
| 0.588403931 | 1.901064 | 0.002248 |
| 0.589989014 | 1.900101 | 0.002255 |
| 0.591574036 | 1.899139 | 0.002263 |
| 0.593158997 | 1.89818 | 0.002271 |
| 0.594743896 | 1.897221 | 0.00228 |
| 0.596328735 | 1.896265 | 0.002288 |
| 0.597913452 | 1.89531 | 0.002297 |
| 0.599498169 | 1.894357 | 0.002306 |
| 0.601082825 | 1.893405 | 0.002316 |
| 0.602667358 | 1.892454 | 0.002326 |
| 0.604251831 | 1.891505 | 0.002336 |
| 0.605836304 | 1.890557 | 0.002346 |
| 0.607420654 | 1.889611 | 0.002356 |
| 0.609004944 | 1.888666 | 0.002367 |
| 0.610589111 | 1.887722 | 0.002378 |
| 0.612173218 | 1.886779 | 0.002389 |
| 0.613757324 | 1.885837 | 0.0024 |
| 0.615341309 | 1.884897 | 0.002412 |
| 0.616925232 | 1.883957 | 0.002424 |
| 0.618509094 | 1.883018 | 0.002436 |
| 0.620092834 | 1.882081 | 0.002448 |
| 0.621676575 | 1.881144 | 0.002461 |
| 0.623260132 | 1.880208 | 0.002473 |
| 0.624843689 | 1.879273 | 0.002486 |
| 0.626427124 | 1.878339 | 0.002499 |
| 0.628010559 | 1.877406 | 0.002512 |
| 0.629593872 | 1.876473 | 0.002526 |
| 0.631177124 | 1.875541 | 0.00254 |
| 0.632760254 | 1.874609 | 0.002553 |
| 0.634343384 | 1.873679 | 0.002568 |
| 0.635926331 | 1.872749 | 0.002582 |
| 0.637509277 | 1.871819 | 0.002596 |
| 0.639092102 | 1.87089 | 0.002611 |
| 0.640674866 | 1.869961 | 0.002626 |
| 0.642257507 | 1.869033 | 0.002641 |
| 0.643840149 | 1.868105 | 0.002656 |
| 0.645422668 | 1.867178 | 0.002671 |
| 0.647005066 | 1.866251 | 0.002687 |
| 0.648587402 | 1.865324 | 0.002702 |
| 0.650169678 | 1.864398 | 0.002718 |
| 0.651751831 | 1.863472 | 0.002734 |
| 0.653333923 | 1.862546 | 0.002751 |
| 0.654915894 | 1.861621 | 0.002767 |
| 0.656497864 | 1.860695 | 0.002784 |
| 0.658079712 | 1.85977 | 0.0028 |
| 0.659661438 | 1.858845 | 0.002817 |
| 0.661243042 | 1.85792 | 0.002834 |
| 0.662824646 | 1.856995 | 0.002852 |
| 0.664406128 | 1.856071 | 0.002869 |
| 0.665987549 | 1.855146 | 0.002887 |
| 0.667568848 | 1.854221 | 0.002904 |
| 0.669150024 | 1.853296 | 0.002922 |
| 0.67073114 | 1.852372 | 0.00294 |
| 0.672312195 | 1.851447 | 0.002959 |
| 0.673893127 | 1.850522 | 0.002977 |
| 0.675473999 | 1.849597 | 0.002996 |
| 0.677054749 | 1.848671 | 0.003014 |
| 0.678635376 | 1.847746 | 0.003033 |
| 0.680215942 | 1.846821 | 0.003052 |
| 0.681796448 | 1.845895 | 0.003071 |
| 0.683376831 | 1.844969 | 0.003091 |
| 0.684957092 | 1.844043 | 0.00311 |
| 0.686537231 | 1.843116 | 0.00313 |
| 0.688117371 | 1.84219 | 0.00315 |
| 0.689697388 | 1.841263 | 0.003169 |
| 0.691277222 | 1.840335 | 0.00319 |
| 0.692857056 | 1.839408 | 0.00321 |
| 0.694436768 | 1.83848 | 0.00323 |
| 0.696016357 | 1.837551 | 0.003251 |
| 0.697595825 | 1.836622 | 0.003272 |
| 0.699175232 | 1.835693 | 0.003292 |
| 0.700754578 | 1.834763 | 0.003313 |
| 0.702333801 | 1.833833 | 0.003335 |
| 0.703912903 | 1.832903 | 0.003356 |
| 0.705491821 | 1.831972 | 0.003377 |
| 0.70707074 | 1.83104 | 0.003399 |
| 0.708649536 | 1.830108 | 0.003421 |
| 0.71022821 | 1.829175 | 0.003443 |
| 0.711806824 | 1.828242 | 0.003465 |
| 0.713385315 | 1.827308 | 0.003487 |
| 0.714963684 | 1.826374 | 0.003509 |
| 0.716541931 | 1.825439 | 0.003532 |
| 0.718120117 | 1.824503 | 0.003554 |
| 0.719698181 | 1.823567 | 0.003577 |
| 0.721276123 | 1.82263 | 0.0036 |
| 0.722853943 | 1.821692 | 0.003623 |
| 0.724431702 | 1.820754 | 0.003647 |
| 0.726009338 | 1.819815 | 0.00367 |
| 0.727586853 | 1.818875 | 0.003693 |
| 0.729164246 | 1.817935 | 0.003717 |
| 0.730741577 | 1.816993 | 0.003741 |
| 0.732318726 | 1.816051 | 0.003765 |
| 0.733895874 | 1.815108 | 0.003789 |
| 0.735472778 | 1.814165 | 0.003813 |
| 0.737049683 | 1.813221 | 0.003838 |
| 0.738626404 | 1.812275 | 0.003862 |
| 0.740203003 | 1.811329 | 0.003887 |
| 0.741779541 | 1.810382 | 0.003912 |
| 0.743355957 | 1.809435 | 0.003937 |
| 0.744932251 | 1.808486 | 0.003962 |
| 0.746508423 | 1.807536 | 0.003988 |
| 0.748084412 | 1.806586 | 0.004013 |
| 0.7496604 | 1.805634 | 0.004039 |
| 0.751236206 | 1.804682 | 0.004064 |
| 0.75281189 | 1.803729 | 0.00409 |
| 0.754387512 | 1.802775 | 0.004116 |
| 0.755963013 | 1.80182 | 0.004143 |
| 0.75753833 | 1.800864 | 0.004169 |
| 0.759113586 | 1.799906 | 0.004195 |
| 0.76068866 | 1.798948 | 0.004222 |
| 0.762263672 | 1.797989 | 0.004249 |
| 0.763838501 | 1.797029 | 0.004276 |
| 0.765413269 | 1.796068 | 0.004303 |
| 0.766987915 | 1.795106 | 0.00433 |
| 0.768562378 | 1.794142 | 0.004358 |
| 0.770136841 | 1.793178 | 0.004385 |
| 0.77171106 | 1.792212 | 0.004413 |
| 0.773285217 | 1.791246 | 0.004441 |
| 0.774859253 | 1.790278 | 0.004469 |
| 0.776433105 | 1.789309 | 0.004497 |
| 0.778006836 | 1.788339 | 0.004525 |
| 0.779580444 | 1.787368 | 0.004554 |
| 0.781153992 | 1.786396 | 0.004582 |
| 0.782727417 | 1.785423 | 0.004611 |
| 0.784300659 | 1.784448 | 0.00464 |
| 0.785873779 | 1.783472 | 0.004669 |
| 0.787446777 | 1.782495 | 0.004698 |
| 0.789019653 | 1.781517 | 0.004728 |
| 0.790592407 | 1.780538 | 0.004757 |
| 0.792164978 | 1.779557 | 0.004787 |
| 0.793737427 | 1.778576 | 0.004817 |
| 0.795309814 | 1.777593 | 0.004847 |
| 0.796882019 | 1.776608 | 0.004877 |
| 0.798454163 | 1.775623 | 0.004907 |
| 0.800026062 | 1.774636 | 0.004938 |
| 0.8015979 | 1.773648 | 0.004968 |
| 0.803169556 | 1.772659 | 0.004999 |
| 0.80474115 | 1.771668 | 0.00503 |
| 0.806312561 | 1.770676 | 0.005061 |
| 0.80788385 | 1.769683 | 0.005092 |
| 0.809454956 | 1.768688 | 0.005124 |
| 0.811026001 | 1.767692 | 0.005155 |
| 0.812596863 | 1.766695 | 0.005187 |
| 0.814167603 | 1.765696 | 0.005219 |
| 0.81573822 | 1.764696 | 0.005251 |
| 0.817308716 | 1.763695 | 0.005283 |
| 0.818879028 | 1.762692 | 0.005316 |
| 0.820449219 | 1.761688 | 0.005348 |
| 0.822019226 | 1.760682 | 0.005381 |
| 0.823589172 | 1.759675 | 0.005414 |
| 0.825158997 | 1.758667 | 0.005447 |
| 0.826728516 | 1.757657 | 0.00548 |
| 0.828298035 | 1.756645 | 0.005513 |
| 0.829867371 | 1.755633 | 0.005547 |
| 0.831436646 | 1.754619 | 0.00558 |
| 0.833005676 | 1.753603 | 0.005614 |
| 0.834574524 | 1.752586 | 0.005648 |
| 0.836143372 | 1.751567 | 0.005682 |
| 0.837711914 | 1.750547 | 0.005717 |
| 0.839280457 | 1.749526 | 0.005751 |
| 0.840848755 | 1.748503 | 0.005786 |
| 0.842416992 | 1.747478 | 0.005821 |
| 0.843984985 | 1.746452 | 0.005856 |
| 0.845552917 | 1.745425 | 0.005891 |
| 0.847120605 | 1.744396 | 0.005926 |
| 0.848688171 | 1.743365 | 0.005962 |
| 0.850255676 | 1.742333 | 0.005997 |
| 0.851822937 | 1.741299 | 0.006033 |
| 0.853390137 | 1.740264 | 0.006069 |
| 0.854957153 | 1.739227 | 0.006105 |
| 0.856524048 | 1.738189 | 0.006142 |
| 0.858090698 | 1.737149 | 0.006178 |
| 0.859657227 | 1.736107 | 0.006215 |
| 0.861223633 | 1.735064 | 0.006252 |
| 0.862789856 | 1.734019 | 0.006289 |
| 0.864355957 | 1.732973 | 0.006326 |
| 0.865921875 | 1.731925 | 0.006363 |
| 0.867487671 | 1.730875 | 0.006401 |
| 0.869053345 | 1.729824 | 0.006439 |
| 0.870618774 | 1.728771 | 0.006477 |
| 0.872184082 | 1.727717 | 0.006515 |
| 0.873749207 | 1.72666 | 0.006553 |
| 0.87531427 | 1.725603 | 0.006591 |
| 0.876879089 | 1.724543 | 0.00663 |
| 0.878443726 | 1.723482 | 0.006669 |
| 0.880008301 | 1.722419 | 0.006708 |
| 0.881572632 | 1.721354 | 0.006747 |
| 0.883136841 | 1.720288 | 0.006786 |
| 0.884700867 | 1.71922 | 0.006826 |
| 0.886264771 | 1.71815 | 0.006865 |
| 0.887828491 | 1.717079 | 0.006905 |
| 0.88939209 | 1.716006 | 0.006945 |
| 0.890955444 | 1.714931 | 0.006986 |
| 0.892518738 | 1.713854 | 0.007026 |
| 0.894081848 | 1.712776 | 0.007067 |
| 0.895644714 | 1.711696 | 0.007107 |
| 0.89720752 | 1.710614 | 0.007148 |
| 0.89877002 | 1.709531 | 0.007189 |
| 0.90033252 | 1.708445 | 0.007231 |
| 0.901894714 | 1.707358 | 0.007272 |
| 0.903456848 | 1.706269 | 0.007314 |
| 0.905018738 | 1.705178 | 0.007356 |
| 0.906580444 | 1.704086 | 0.007398 |
| 0.90814209 | 1.702992 | 0.00744 |
| 0.909703491 | 1.701895 | 0.007483 |
| 0.911264771 | 1.700798 | 0.007526 |
| 0.912825867 | 1.699698 | 0.007568 |
| 0.914386841 | 1.698596 | 0.007611 |
| 0.915947571 | 1.697493 | 0.007655 |
| 0.917508118 | 1.696387 | 0.007698 |
| 0.919068481 | 1.69528 | 0.007742 |
| 0.920628723 | 1.694171 | 0.007786 |
| 0.922188782 | 1.693061 | 0.00783 |
| 0.923748657 | 1.691948 | 0.007874 |
| 0.925308411 | 1.690833 | 0.007918 |
| 0.926867859 | 1.689717 | 0.007963 |
| 0.928427246 | 1.688599 | 0.008008 |
| 0.92998645 | 1.687478 | 0.008053 |
| 0.931545532 | 1.686356 | 0.008098 |
| 0.933104309 | 1.685232 | 0.008143 |
| 0.934662964 | 1.684106 | 0.008189 |
| 0.936221497 | 1.682978 | 0.008235 |
| 0.937779785 | 1.681849 | 0.008281 |
| 0.939337891 | 1.680717 | 0.008327 |
| 0.940895874 | 1.679583 | 0.008373 |
| 0.942453613 | 1.678448 | 0.00842 |
| 0.94401123 | 1.67731 | 0.008467 |
| 0.945568665 | 1.67617 | 0.008514 |
| 0.947125854 | 1.675029 | 0.008561 |
| 0.948682922 | 1.673886 | 0.008609 |
| 0.950239868 | 1.67274 | 0.008656 |
| 0.951796509 | 1.671593 | 0.008704 |
| 0.953353027 | 1.670444 | 0.008752 |
| 0.954909363 | 1.669292 | 0.008801 |
| 0.956465515 | 1.668139 | 0.008849 |
| 0.958021484 | 1.666983 | 0.008898 |
| 0.959577271 | 1.665826 | 0.008947 |
| 0.961132813 | 1.664667 | 0.008996 |
| 0.962688171 | 1.663505 | 0.009045 |
| 0.964243469 | 1.662342 | 0.009095 |
| 0.965798462 | 1.661177 | 0.009145 |
| 0.967353333 | 1.660009 | 0.009195 |
| 0.96890802 | 1.65884 | 0.009245 |
| 0.970462402 | 1.657668 | 0.009295 |
| 0.972016724 | 1.656494 | 0.009346 |
| 0.973570801 | 1.655319 | 0.009397 |
| 0.975124695 | 1.654141 | 0.009448 |
| 0.976678406 | 1.652961 | 0.009499 |
| 0.978231934 | 1.651779 | 0.009551 |
| 0.979785278 | 1.650595 | 0.009602 |
| 0.981338501 | 1.649409 | 0.009654 |
| 0.982891418 | 1.648221 | 0.009707 |
| 0.984444153 | 1.647031 | 0.009759 |
| 0.985996704 | 1.645838 | 0.009812 |
| 0.987549011 | 1.644644 | 0.009865 |
| 0.989101257 | 1.643447 | 0.009918 |
| 0.990653198 | 1.642248 | 0.009971 |
| 0.992204956 | 1.641047 | 0.010025 |
| 0.993756653 | 1.639844 | 0.010078 |
| 0.995307983 | 1.638639 | 0.010132 |
| 0.996859192 | 1.637432 | 0.010187 |
| 0.998410156 | 1.636222 | 0.010241 |
| 0.99996106 | 1.63501 | 0.010296 |
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
- —
17 nm ITO film on D263M glass substrate. Purchased from Optics Balzers. Surface roughness (1 sigma) = 0.4 nm. Variable angle spectroscopic ellipsometry data + normal-incidence transmittance data fitted over the 400 to 900 nm range.