Optical constants
Refractive index of In2O3-SnO2 (Indium tin oxide, ITO)
König et al. 2014: with EMA layer; n,k 0.25–1.0 µm
- Data
- tabulated nk
- Range
- 0.2516–1 µm
- Points
- 474
- Licence
- CC0-1.0
Plot
Click the plot to set the calculator wavelength.
At one wavelength
- Refractive index n
- 1.39402
- Extinction coefficient k
- 0.00142973
- Permittivity ε1
- 1.94328
- Permittivity ε2
- 0.00398612
- Absorption coefficient α
- 305.76 cm⁻¹
- Penetration depth δ = λ/(2πk)
- 65410.7 nm
- Abbe number Vd
- —
- Chromatic dispersion dn/dλ
- -0.448403 µm⁻¹
- Group index ng
- 1.6575
- 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): König et al. 2014: with EMA layer; n,k 0.25–1.0 µm
in2o3_sno2 = ls.fetch_refractiveindex("other", "In2O3-SnO2", "Konig-EMA", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(in2o3_sno2.range_nm) # (251.57, 1000) 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_54c30d062670/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/konig-2014-ema).
# ... 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=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.
Comments and conditions
Conditions
- film thickness
- 2e-9
- substrate
- glass/ITO
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
474 rows as published| λ (µm) | n | k |
|---|---|---|
| 0.25157 | 1.61929943 | 0.26157101 |
| 0.25316 | 1.62580553 | 0.25786213 |
| 0.25475 | 1.63233784 | 0.2534692 |
| 0.25634 | 1.63879109 | 0.24837427 |
| 0.25793 | 1.64505646 | 0.24257839 |
| 0.25952 | 1.65102488 | 0.2361035 |
| 0.26112 | 1.65659248 | 0.22899166 |
| 0.26271 | 1.66166495 | 0.22130365 |
| 0.2643 | 1.6661614 | 0.21311655 |
| 0.26589 | 1.67001759 | 0.20452007 |
| 0.26748 | 1.67318804 | 0.19561209 |
| 0.26907 | 1.67564678 | 0.18649402 |
| 0.27067 | 1.67738674 | 0.1772669 |
| 0.27226 | 1.67841839 | 0.16802686 |
| 0.27385 | 1.67876731 | 0.15886256 |
| 0.27544 | 1.67847145 | 0.14985234 |
| 0.27703 | 1.67757803 | 0.14106332 |
| 0.27862 | 1.67614055 | 0.13255045 |
| 0.28022 | 1.67421606 | 0.12435663 |
| 0.28181 | 1.67186278 | 0.11651378 |
| 0.2834 | 1.66913816 | 0.10904345 |
| 0.28499 | 1.66609732 | 0.1019581 |
| 0.28658 | 1.66279216 | 0.09526284 |
| 0.28818 | 1.65927052 | 0.08895634 |
| 0.28977 | 1.65557575 | 0.08303219 |
| 0.29136 | 1.65174684 | 0.07748029 |
| 0.29295 | 1.6478182 | 0.07228758 |
| 0.29454 | 1.64382001 | 0.06743897 |
| 0.29614 | 1.63977838 | 0.06291807 |
| 0.29773 | 1.63571572 | 0.05870771 |
| 0.29932 | 1.6316512 | 0.05479057 |
| 0.30091 | 1.62760096 | 0.05114931 |
| 0.3025 | 1.62357851 | 0.04776697 |
| 0.30409 | 1.61959495 | 0.04462705 |
| 0.30569 | 1.6156596 | 0.04171388 |
| 0.30728 | 1.61177977 | 0.03901234 |
| 0.30887 | 1.60796146 | 0.03650827 |
| 0.31046 | 1.60420941 | 0.03418833 |
| 0.31205 | 1.60052711 | 0.03203988 |
| 0.31365 | 1.59691729 | 0.03005123 |
| 0.31524 | 1.59338187 | 0.02821144 |
| 0.31683 | 1.58992216 | 0.02651033 |
| 0.31842 | 1.58653892 | 0.02493845 |
| 0.32001 | 1.58323243 | 0.023487 |
| 0.32161 | 1.58000279 | 0.0221479 |
| 0.3232 | 1.57684966 | 0.02091358 |
| 0.32479 | 1.57377256 | 0.01977707 |
| 0.32638 | 1.57077082 | 0.01873191 |
| 0.32797 | 1.56784369 | 0.01777213 |
| 0.32957 | 1.56499037 | 0.0168922 |
| 0.33116 | 1.56220994 | 0.01608698 |
| 0.33275 | 1.5595016 | 0.01535174 |
| 0.33434 | 1.55686461 | 0.01468208 |
| 0.33593 | 1.55429823 | 0.01407391 |
| 0.33752 | 1.55180207 | 0.01352346 |
| 0.33912 | 1.5493759 | 0.01302721 |
| 0.34071 | 1.54702001 | 0.01258189 |
| 0.3423 | 1.54473557 | 0.01218446 |
| 0.34389 | 1.54252591 | 0.01183205 |
| 0.34548 | 1.54040226 | 0.011515 |
| 0.34708 | 1.5383554 | 0.01120924 |
| 0.34867 | 1.53637098 | 0.01091279 |
| 0.35026 | 1.53444205 | 0.01062542 |
| 0.35185 | 1.53256361 | 0.01034689 |
| 0.35344 | 1.53073176 | 0.01007693 |
| 0.35504 | 1.52894325 | 0.0098153 |
| 0.35663 | 1.52719532 | 0.00956172 |
| 0.35822 | 1.52548559 | 0.00931597 |
| 0.35981 | 1.52381191 | 0.00907779 |
| 0.3614 | 1.52217231 | 0.00884693 |
| 0.36299 | 1.52056512 | 0.00862318 |
| 0.36459 | 1.51898876 | 0.00840629 |
| 0.36618 | 1.51744175 | 0.00819606 |
| 0.36777 | 1.51592282 | 0.00799226 |
| 0.36936 | 1.51443067 | 0.00779469 |
| 0.37095 | 1.51296421 | 0.00760315 |
| 0.37254 | 1.51152238 | 0.00741744 |
| 0.37414 | 1.51010416 | 0.00723738 |
| 0.37573 | 1.50870861 | 0.00706277 |
| 0.37732 | 1.5073349 | 0.00689345 |
| 0.37891 | 1.50598217 | 0.00672924 |
| 0.3805 | 1.50464966 | 0.00656998 |
| 0.3821 | 1.50333664 | 0.00641551 |
| 0.38369 | 1.5020424 | 0.00626567 |
| 0.38528 | 1.5007663 | 0.00612032 |
| 0.38687 | 1.49950768 | 0.00597931 |
| 0.38846 | 1.49826598 | 0.00584249 |
| 0.39005 | 1.4970406 | 0.00570975 |
| 0.39164 | 1.49583103 | 0.00558094 |
| 0.39324 | 1.49463674 | 0.00545594 |
| 0.39483 | 1.49345722 | 0.00533463 |
| 0.39642 | 1.49229203 | 0.00521689 |
| 0.39801 | 1.4911407 | 0.00510261 |
| 0.3996 | 1.49000279 | 0.00499168 |
| 0.40119 | 1.48887789 | 0.004884 |
| 0.40279 | 1.48776562 | 0.00477946 |
| 0.40438 | 1.48666557 | 0.00467796 |
| 0.40597 | 1.48557738 | 0.00457941 |
| 0.40756 | 1.48450069 | 0.00448371 |
| 0.40915 | 1.48343517 | 0.00439079 |
| 0.41074 | 1.48238049 | 0.00430055 |
| 0.41233 | 1.48133632 | 0.0042129 |
| 0.41393 | 1.48030234 | 0.00412778 |
| 0.41552 | 1.4792783 | 0.00404509 |
| 0.41711 | 1.47826391 | 0.00396478 |
| 0.4187 | 1.47725887 | 0.00388676 |
| 0.42029 | 1.47626289 | 0.00381097 |
| 0.42188 | 1.47527578 | 0.00373734 |
| 0.42347 | 1.47429723 | 0.00366579 |
| 0.42506 | 1.47332704 | 0.00359628 |
| 0.42665 | 1.47236494 | 0.00352874 |
| 0.42825 | 1.47141072 | 0.00346311 |
| 0.42984 | 1.47046421 | 0.00339934 |
| 0.43143 | 1.46952511 | 0.00333737 |
| 0.43302 | 1.46859327 | 0.00327714 |
| 0.43461 | 1.46766849 | 0.00321861 |
| 0.4362 | 1.46675056 | 0.00316172 |
| 0.43779 | 1.46583928 | 0.00310643 |
| 0.43938 | 1.46493449 | 0.00305269 |
| 0.44097 | 1.46403603 | 0.00300046 |
| 0.44257 | 1.46314369 | 0.0029497 |
| 0.44416 | 1.46225733 | 0.00290035 |
| 0.44575 | 1.46137676 | 0.00285239 |
| 0.44734 | 1.46050185 | 0.00280577 |
| 0.44893 | 1.45963242 | 0.00276045 |
| 0.45052 | 1.45876834 | 0.0027164 |
| 0.45211 | 1.45790948 | 0.00267358 |
| 0.4537 | 1.45705565 | 0.00263196 |
| 0.45529 | 1.45620676 | 0.0025915 |
| 0.45688 | 1.45536264 | 0.00255217 |
| 0.45847 | 1.45452318 | 0.00251395 |
| 0.46006 | 1.45368824 | 0.00247679 |
| 0.46165 | 1.45285771 | 0.00244068 |
| 0.46324 | 1.45203147 | 0.00240558 |
| 0.46484 | 1.4512094 | 0.00237147 |
| 0.46643 | 1.45039137 | 0.00233831 |
| 0.46802 | 1.44957725 | 0.00230609 |
| 0.46961 | 1.448767 | 0.00227478 |
| 0.4712 | 1.44796046 | 0.00224435 |
| 0.47279 | 1.44715751 | 0.00221478 |
| 0.47438 | 1.44635811 | 0.00218606 |
| 0.47597 | 1.44556211 | 0.00215815 |
| 0.47756 | 1.44476942 | 0.00213103 |
| 0.47915 | 1.44397998 | 0.00210469 |
| 0.48074 | 1.44319365 | 0.00207911 |
| 0.48233 | 1.44241038 | 0.00205426 |
| 0.48392 | 1.44163004 | 0.00203013 |
| 0.48551 | 1.44085258 | 0.0020067 |
| 0.4871 | 1.4400779 | 0.00198395 |
| 0.48869 | 1.43930593 | 0.00196187 |
| 0.49028 | 1.43853659 | 0.00194043 |
| 0.49187 | 1.43776978 | 0.00191963 |
| 0.49346 | 1.43700543 | 0.00189944 |
| 0.49505 | 1.43624346 | 0.00187986 |
| 0.49664 | 1.43548383 | 0.00186086 |
| 0.49823 | 1.43472642 | 0.00184243 |
| 0.49982 | 1.4339712 | 0.00182457 |
| 0.50141 | 1.43321808 | 0.00180725 |
| 0.503 | 1.432467 | 0.00179046 |
| 0.50459 | 1.43171788 | 0.00177419 |
| 0.50618 | 1.43097069 | 0.00175843 |
| 0.50777 | 1.43022532 | 0.00174317 |
| 0.50936 | 1.42948174 | 0.0017284 |
| 0.51094 | 1.42873988 | 0.00171409 |
| 0.51253 | 1.42799965 | 0.00170025 |
| 0.51412 | 1.42726106 | 0.00168686 |
| 0.51571 | 1.42652399 | 0.00167392 |
| 0.5173 | 1.42578841 | 0.00166141 |
| 0.51889 | 1.42505427 | 0.00164932 |
| 0.52048 | 1.42432151 | 0.00163764 |
| 0.52207 | 1.42359007 | 0.00162637 |
| 0.52366 | 1.42285991 | 0.0016155 |
| 0.52525 | 1.42213096 | 0.00160501 |
| 0.52684 | 1.4214032 | 0.0015949 |
| 0.52843 | 1.42067654 | 0.00158516 |
| 0.53002 | 1.41995099 | 0.00157579 |
| 0.5316 | 1.41922644 | 0.00156677 |
| 0.53319 | 1.41850287 | 0.0015581 |
| 0.53478 | 1.41778024 | 0.00154978 |
| 0.53637 | 1.41705851 | 0.00154178 |
| 0.53796 | 1.41633763 | 0.00153412 |
| 0.53955 | 1.41561755 | 0.00152677 |
| 0.54114 | 1.41489823 | 0.00151974 |
| 0.54273 | 1.41417964 | 0.00151302 |
| 0.54431 | 1.41346172 | 0.0015066 |
| 0.5459 | 1.41274445 | 0.00150048 |
| 0.54749 | 1.41202778 | 0.00149464 |
| 0.54908 | 1.41131167 | 0.0014891 |
| 0.55067 | 1.41059608 | 0.00148383 |
| 0.55226 | 1.40988098 | 0.00147884 |
| 0.55384 | 1.40916633 | 0.00147412 |
| 0.55543 | 1.40845209 | 0.00146966 |
| 0.55702 | 1.40773823 | 0.00146547 |
| 0.55861 | 1.40702471 | 0.00146152 |
| 0.5602 | 1.4063115 | 0.00145783 |
| 0.56178 | 1.40559859 | 0.00145439 |
| 0.56337 | 1.40488589 | 0.00145119 |
| 0.56496 | 1.4041734 | 0.00144823 |
| 0.56655 | 1.40346111 | 0.0014455 |
| 0.56814 | 1.40274893 | 0.001443 |
| 0.56972 | 1.40203689 | 0.00144073 |
| 0.57131 | 1.40132493 | 0.00143868 |
| 0.5729 | 1.400613 | 0.00143685 |
| 0.57449 | 1.39990111 | 0.00143523 |
| 0.57607 | 1.39918921 | 0.00143383 |
| 0.57766 | 1.3984773 | 0.00143263 |
| 0.57925 | 1.39776529 | 0.00143165 |
| 0.58084 | 1.39705319 | 0.00143086 |
| 0.58242 | 1.39634099 | 0.00143027 |
| 0.58401 | 1.39562863 | 0.00142988 |
| 0.5856 | 1.3949161 | 0.00142969 |
| 0.58718 | 1.39420336 | 0.00142968 |
| 0.58877 | 1.3934904 | 0.00142986 |
| 0.59036 | 1.39277719 | 0.00143023 |
| 0.59195 | 1.39206368 | 0.00143078 |
| 0.59353 | 1.39134989 | 0.00143151 |
| 0.59512 | 1.39063576 | 0.00143242 |
| 0.59671 | 1.3899213 | 0.0014335 |
| 0.59829 | 1.38920643 | 0.00143476 |
| 0.59988 | 1.38849118 | 0.00143619 |
| 0.60147 | 1.3877755 | 0.00143778 |
| 0.60305 | 1.38705937 | 0.00143955 |
| 0.60464 | 1.38634278 | 0.00144148 |
| 0.60623 | 1.38562568 | 0.00144357 |
| 0.60781 | 1.38490807 | 0.00144582 |
| 0.6094 | 1.38418994 | 0.00144823 |
| 0.61098 | 1.38347123 | 0.0014508 |
| 0.61257 | 1.38275195 | 0.00145352 |
| 0.61416 | 1.38203207 | 0.0014564 |
| 0.61574 | 1.38131157 | 0.00145942 |
| 0.61733 | 1.38059041 | 0.0014626 |
| 0.61891 | 1.37986859 | 0.00146593 |
| 0.6205 | 1.37914611 | 0.0014694 |
| 0.62209 | 1.37842289 | 0.00147302 |
| 0.62367 | 1.37769896 | 0.00147679 |
| 0.62526 | 1.37697431 | 0.0014807 |
| 0.62684 | 1.37624886 | 0.00148474 |
| 0.62843 | 1.37552265 | 0.00148893 |
| 0.63001 | 1.37479564 | 0.00149326 |
| 0.6316 | 1.37406781 | 0.00149772 |
| 0.63318 | 1.37333913 | 0.00150233 |
| 0.63477 | 1.37260959 | 0.00150706 |
| 0.63635 | 1.37187919 | 0.00151193 |
| 0.63794 | 1.37114788 | 0.00151694 |
| 0.63952 | 1.37041568 | 0.00152207 |
| 0.64111 | 1.36968254 | 0.00152734 |
| 0.64269 | 1.36894846 | 0.00153274 |
| 0.64428 | 1.36821342 | 0.00153826 |
| 0.64586 | 1.36747738 | 0.00154392 |
| 0.64745 | 1.36674036 | 0.0015497 |
| 0.64903 | 1.36600231 | 0.0015556 |
| 0.65062 | 1.36526325 | 0.00156164 |
| 0.6522 | 1.36452312 | 0.00156779 |
| 0.65379 | 1.36378195 | 0.00157407 |
| 0.65537 | 1.36303968 | 0.00158048 |
| 0.65696 | 1.36229633 | 0.001587 |
| 0.65854 | 1.36155186 | 0.00159365 |
| 0.66012 | 1.36080624 | 0.00160042 |
| 0.66171 | 1.3600595 | 0.00160731 |
| 0.66329 | 1.3593116 | 0.00161432 |
| 0.66488 | 1.35856252 | 0.00162145 |
| 0.66646 | 1.35781226 | 0.00162869 |
| 0.66804 | 1.35706078 | 0.00163606 |
| 0.66963 | 1.35630807 | 0.00164354 |
| 0.67121 | 1.35555416 | 0.00165114 |
| 0.67279 | 1.35479896 | 0.00165886 |
| 0.67438 | 1.35404253 | 0.00166669 |
| 0.67596 | 1.3532848 | 0.00167464 |
| 0.67754 | 1.35252576 | 0.0016827 |
| 0.67913 | 1.35176543 | 0.00169087 |
| 0.68071 | 1.35100378 | 0.00169917 |
| 0.68229 | 1.35024078 | 0.00170757 |
| 0.68388 | 1.34947643 | 0.00171609 |
| 0.68546 | 1.34871071 | 0.00172472 |
| 0.68704 | 1.34794361 | 0.00173347 |
| 0.68862 | 1.34717513 | 0.00174232 |
| 0.69021 | 1.34640522 | 0.00175129 |
| 0.69179 | 1.3456339 | 0.00176038 |
| 0.69337 | 1.34486115 | 0.00176957 |
| 0.69495 | 1.34408693 | 0.00177888 |
| 0.69654 | 1.34331126 | 0.00178829 |
| 0.69812 | 1.34253409 | 0.00179782 |
| 0.6997 | 1.34175547 | 0.00180746 |
| 0.70128 | 1.3409753 | 0.00181721 |
| 0.70287 | 1.34019364 | 0.00182707 |
| 0.70445 | 1.33941044 | 0.00183705 |
| 0.70603 | 1.3386257 | 0.00184713 |
| 0.70761 | 1.33783941 | 0.00185732 |
| 0.70919 | 1.33705153 | 0.00186762 |
| 0.71077 | 1.33626207 | 0.00187804 |
| 0.71236 | 1.33547102 | 0.00188856 |
| 0.71394 | 1.33467837 | 0.0018992 |
| 0.71552 | 1.33388408 | 0.00190994 |
| 0.7171 | 1.33308815 | 0.0019208 |
| 0.71868 | 1.33229059 | 0.00193176 |
| 0.72026 | 1.33149134 | 0.00194284 |
| 0.72184 | 1.33069042 | 0.00195402 |
| 0.72342 | 1.32988782 | 0.00196532 |
| 0.725 | 1.32908353 | 0.00197672 |
| 0.72659 | 1.32827752 | 0.00198824 |
| 0.72817 | 1.32746978 | 0.00199987 |
| 0.72975 | 1.32666032 | 0.0020116 |
| 0.73133 | 1.32584909 | 0.00202345 |
| 0.73291 | 1.32503608 | 0.00203541 |
| 0.73449 | 1.32422132 | 0.00204748 |
| 0.73607 | 1.32340477 | 0.00205966 |
| 0.73765 | 1.3225864 | 0.00207195 |
| 0.73923 | 1.32176623 | 0.00208436 |
| 0.74081 | 1.32094422 | 0.00209687 |
| 0.74239 | 1.32012039 | 0.0021095 |
| 0.74397 | 1.3192947 | 0.00212224 |
| 0.74555 | 1.31846713 | 0.00213509 |
| 0.74713 | 1.31763771 | 0.00214805 |
| 0.74871 | 1.31680638 | 0.00216113 |
| 0.75029 | 1.31597317 | 0.00217432 |
| 0.75186 | 1.31513803 | 0.00218762 |
| 0.75344 | 1.31430097 | 0.00220104 |
| 0.75502 | 1.31346196 | 0.00221457 |
| 0.7566 | 1.31262101 | 0.00222821 |
| 0.75818 | 1.31177809 | 0.00224197 |
| 0.75976 | 1.31093318 | 0.00225584 |
| 0.76134 | 1.3100863 | 0.00226983 |
| 0.76292 | 1.30923743 | 0.00228393 |
| 0.7645 | 1.30838651 | 0.00229815 |
| 0.76607 | 1.3075336 | 0.00231248 |
| 0.76765 | 1.30667862 | 0.00232693 |
| 0.76923 | 1.30582162 | 0.0023415 |
| 0.77081 | 1.30496252 | 0.00235618 |
| 0.77239 | 1.30410138 | 0.00237098 |
| 0.77396 | 1.30323813 | 0.0023859 |
| 0.77554 | 1.3023728 | 0.00240094 |
| 0.77712 | 1.30150535 | 0.00241609 |
| 0.7787 | 1.30063575 | 0.00243137 |
| 0.78028 | 1.29976404 | 0.00244676 |
| 0.78185 | 1.29889015 | 0.00246228 |
| 0.78343 | 1.29801412 | 0.00247792 |
| 0.78501 | 1.29713592 | 0.00249367 |
| 0.78659 | 1.29625549 | 0.00250955 |
| 0.78816 | 1.29537289 | 0.00252555 |
| 0.78974 | 1.29448808 | 0.00254167 |
| 0.79132 | 1.29360103 | 0.00255792 |
| 0.79289 | 1.29271174 | 0.00257429 |
| 0.79447 | 1.29182019 | 0.00259078 |
| 0.79605 | 1.29092638 | 0.0026074 |
| 0.79762 | 1.29003029 | 0.00262414 |
| 0.7992 | 1.28913192 | 0.00264101 |
| 0.80077 | 1.28823123 | 0.00265801 |
| 0.80235 | 1.28732824 | 0.00267513 |
| 0.80393 | 1.28642291 | 0.00269238 |
| 0.8055 | 1.28551524 | 0.00270976 |
| 0.80708 | 1.2846052 | 0.00272727 |
| 0.80865 | 1.2836928 | 0.0027449 |
| 0.81023 | 1.282778 | 0.00276267 |
| 0.81181 | 1.28186083 | 0.00278057 |
| 0.81338 | 1.28094125 | 0.0027986 |
| 0.81496 | 1.28001921 | 0.00281676 |
| 0.81653 | 1.27909478 | 0.00283505 |
| 0.81811 | 1.27816787 | 0.00285348 |
| 0.81968 | 1.27723852 | 0.00287205 |
| 0.82126 | 1.27630666 | 0.00289074 |
| 0.82283 | 1.27537231 | 0.00290958 |
| 0.82441 | 1.27443549 | 0.00292855 |
| 0.82598 | 1.27349616 | 0.00294765 |
| 0.82755 | 1.27255423 | 0.0029669 |
| 0.82913 | 1.2716098 | 0.00298628 |
| 0.8307 | 1.27066281 | 0.00300581 |
| 0.83228 | 1.26971329 | 0.00302547 |
| 0.83385 | 1.26876112 | 0.00304528 |
| 0.83543 | 1.26780634 | 0.00306523 |
| 0.837 | 1.266849 | 0.00308532 |
| 0.83857 | 1.26588901 | 0.00310555 |
| 0.84015 | 1.26492632 | 0.00312593 |
| 0.84172 | 1.26396101 | 0.00314646 |
| 0.84329 | 1.26299308 | 0.00316713 |
| 0.84487 | 1.2620224 | 0.00318795 |
| 0.84644 | 1.261049 | 0.00320892 |
| 0.84801 | 1.26007294 | 0.00323004 |
| 0.84959 | 1.25909414 | 0.0032513 |
| 0.85116 | 1.25811257 | 0.00327272 |
| 0.85273 | 1.25712824 | 0.00329429 |
| 0.8543 | 1.25614112 | 0.00331602 |
| 0.85588 | 1.25515125 | 0.0033379 |
| 0.85745 | 1.25415851 | 0.00335993 |
| 0.85902 | 1.25316299 | 0.00338212 |
| 0.86059 | 1.25216462 | 0.00340447 |
| 0.86216 | 1.25116345 | 0.00342697 |
| 0.86374 | 1.25015934 | 0.00344964 |
| 0.86531 | 1.24915239 | 0.00347247 |
| 0.86688 | 1.24814253 | 0.00349546 |
| 0.86845 | 1.24712974 | 0.00351861 |
| 0.87002 | 1.246114 | 0.00354192 |
| 0.87159 | 1.2450953 | 0.0035654 |
| 0.87316 | 1.24407368 | 0.00358905 |
| 0.87474 | 1.24304907 | 0.00361286 |
| 0.87631 | 1.24202145 | 0.00363685 |
| 0.87788 | 1.24099086 | 0.003661 |
| 0.87945 | 1.23995717 | 0.00368533 |
| 0.88102 | 1.23892047 | 0.00370982 |
| 0.88259 | 1.23788069 | 0.00373449 |
| 0.88416 | 1.23683788 | 0.00375934 |
| 0.88573 | 1.2357919 | 0.00378436 |
| 0.8873 | 1.23474284 | 0.00380956 |
| 0.88887 | 1.23369064 | 0.00383494 |
| 0.89044 | 1.23263526 | 0.0038605 |
| 0.89201 | 1.23157677 | 0.00388624 |
| 0.89358 | 1.23051507 | 0.00391216 |
| 0.89515 | 1.22945015 | 0.00393827 |
| 0.89672 | 1.22838206 | 0.00396457 |
| 0.89829 | 1.22731064 | 0.00399105 |
| 0.89986 | 1.22623601 | 0.00401772 |
| 0.90142 | 1.22515809 | 0.00404459 |
| 0.90299 | 1.22407691 | 0.00407164 |
| 0.90456 | 1.22299241 | 0.00409889 |
| 0.90613 | 1.22190454 | 0.00412633 |
| 0.9077 | 1.22081331 | 0.00415397 |
| 0.90927 | 1.21971875 | 0.00418181 |
| 0.91083 | 1.21862078 | 0.00420985 |
| 0.9124 | 1.21751938 | 0.00423809 |
| 0.91397 | 1.21641459 | 0.00426653 |
| 0.91554 | 1.21530633 | 0.00429518 |
| 0.91711 | 1.21419458 | 0.00432404 |
| 0.91867 | 1.21307938 | 0.0043531 |
| 0.92024 | 1.21196065 | 0.00438238 |
| 0.92181 | 1.21083837 | 0.00441186 |
| 0.92338 | 1.20971258 | 0.00444156 |
| 0.92494 | 1.20858319 | 0.00447148 |
| 0.92651 | 1.20745018 | 0.00450161 |
| 0.92808 | 1.20631354 | 0.00453197 |
| 0.92964 | 1.2051733 | 0.00456254 |
| 0.93121 | 1.20402944 | 0.00459334 |
| 0.93278 | 1.20288181 | 0.00462437 |
| 0.93434 | 1.20173052 | 0.00465562 |
| 0.93591 | 1.20057556 | 0.0046871 |
| 0.93747 | 1.19941674 | 0.00471881 |
| 0.93904 | 1.1982542 | 0.00475076 |
| 0.94061 | 1.19708791 | 0.00478294 |
| 0.94217 | 1.19591778 | 0.00481536 |
| 0.94374 | 1.19474377 | 0.00484802 |
| 0.9453 | 1.19356588 | 0.00488093 |
| 0.94687 | 1.19238414 | 0.00491408 |
| 0.94843 | 1.19119853 | 0.00494747 |
| 0.95 | 1.19000896 | 0.00498111 |
| 0.95156 | 1.1888154 | 0.00501501 |
| 0.95313 | 1.18761782 | 0.00504916 |
| 0.95469 | 1.18641627 | 0.00508357 |
| 0.95625 | 1.18521066 | 0.00511824 |
| 0.95782 | 1.18400103 | 0.00515316 |
| 0.95938 | 1.18278728 | 0.00518836 |
| 0.96095 | 1.18156946 | 0.00522381 |
| 0.96251 | 1.18034746 | 0.00525954 |
| 0.96407 | 1.17912127 | 0.00529554 |
| 0.96564 | 1.17789093 | 0.00533182 |
| 0.9672 | 1.17665633 | 0.00536837 |
| 0.96876 | 1.17541752 | 0.0054052 |
| 0.97033 | 1.17417441 | 0.00544232 |
| 0.97189 | 1.17292703 | 0.00547972 |
| 0.97345 | 1.17167529 | 0.00551741 |
| 0.97502 | 1.17041915 | 0.0055554 |
| 0.97658 | 1.16915866 | 0.00559367 |
| 0.97814 | 1.16789379 | 0.00563225 |
| 0.9797 | 1.16662436 | 0.00567113 |
| 0.98126 | 1.16535057 | 0.00571031 |
| 0.98283 | 1.16407215 | 0.0057498 |
| 0.98439 | 1.16278931 | 0.0057896 |
| 0.98595 | 1.16150178 | 0.00582972 |
| 0.98751 | 1.16020969 | 0.00587015 |
| 0.98907 | 1.15891301 | 0.0059109 |
| 0.99063 | 1.15761162 | 0.00595198 |
| 0.9922 | 1.15630557 | 0.00599338 |
| 0.99376 | 1.15499475 | 0.00603512 |
| 0.99532 | 1.1536792 | 0.00607719 |
| 0.99688 | 1.15235881 | 0.00611961 |
| 0.99844 | 1.15103355 | 0.00616236 |
| 1.0 | 1.14970346 | 0.00620547 |
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 2 nm roughness layer (effective medium approximation, EMA layer). Setup: BK7+ITO(72nm)+EMA(2nm)). ITO purchased from Delta Technology (CG-60IN-CUV), 15–25 ohms.