Optical constants
Refractive index of H2O, D2O (Water, heavy water, ice)
Bashkatov and Genina 2003: Water; n 0.225–1.14 µm; 20 °C
- Data
- formula 5
- Range
- 0.225–1.14 µm
- Temperature
- 293.15 K
- State
- liquid
- Licence
- CC0-1.0
Plot
Click the plot to set the calculator wavelength.
At one wavelength
- Refractive index n
- 1.33295
- Extinction coefficient k
- 0
- Permittivity ε1
- 1.77676
- Permittivity ε2
- 0
- Absorption coefficient α
- 0 cm⁻¹
- Penetration depth δ = λ/(2πk)
- — nm
- Abbe number Vd
- 45.608
- Chromatic dispersion dn/dλ
- -0.0388706 µm⁻¹
- Group index ng
- 1.35579
- Group velocity dispersion
- 59.1111 fs²/mm
- Dispersion parameter D
- -322.482 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
# H2O, D2O (Water, heavy water, ice): Bashkatov and Genina 2003: Water; n 0.225–1.14 µm; 20 °C
h2o_d2o = ls.fetch_refractiveindex("main", "H2O", "Bashkatov", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(h2o_d2o.range_nm) # (225, 1140) nm
eps = h2o_d2o.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_fe50ef8e6e54/lightsmith"
h2o_d2o = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(h2o_d2o.source) # citation and provenance travel with the data
Any dataset here, as the library's Tabulated material (h2o/bashkatov-genina-2003).
# ... load h2o_d2o as above, then:
sim = ls.Simulation(
particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=h2o_d2o)],
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 0.225 to 1.14 µm.
Coefficients as stored
| Ci | Value |
|---|---|
| C1 | 1.31984 |
| C2 | 0.005190553 |
| C3 | -2.0 |
| C4 | -0.000256169 |
| C5 | -4.0 |
| C6 | 9.39388e-06 |
| C7 | -6.0 |
Comments and conditions
Conditions
- temperature
- 293.15 K
References
- doi:10.1117/12.518857 <title>Water refractive index in dependence on temperature and wavelength: a simple approximation</title>, SPIE Proceedings (2003)
Cite
Alexey N. Bashkatov and Elina A. Genina. <title>Water refractive index in dependence on temperature and wavelength: a simple approximation</title>. SPIE Proceedings, 393-395 (2003), doi:10.1117/12.518857; 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 |
|---|---|
| 0.225 | 1.394818 |
| 0.225917 | 1.393855 |
| 0.226838 | 1.392915 |
| 0.227762 | 1.391997 |
| 0.22869 | 1.3911 |
| 0.229622 | 1.390224 |
| 0.230558 | 1.389369 |
| 0.231497 | 1.388533 |
| 0.232441 | 1.387716 |
| 0.233388 | 1.386918 |
| 0.234339 | 1.386138 |
| 0.235294 | 1.385376 |
| 0.236253 | 1.384631 |
| 0.237216 | 1.383902 |
| 0.238182 | 1.383189 |
| 0.239153 | 1.382492 |
| 0.240128 | 1.38181 |
| 0.241106 | 1.381143 |
| 0.242089 | 1.38049 |
| 0.243075 | 1.379851 |
| 0.244066 | 1.379226 |
| 0.24506 | 1.378614 |
| 0.246059 | 1.378014 |
| 0.247062 | 1.377427 |
| 0.248069 | 1.376852 |
| 0.24908 | 1.376288 |
| 0.250095 | 1.375736 |
| 0.251114 | 1.375195 |
| 0.252137 | 1.374665 |
| 0.253165 | 1.374145 |
| 0.254196 | 1.373635 |
| 0.255232 | 1.373135 |
| 0.256272 | 1.372644 |
| 0.257317 | 1.372163 |
| 0.258365 | 1.37169 |
| 0.259418 | 1.371227 |
| 0.260475 | 1.370772 |
| 0.261537 | 1.370325 |
| 0.262603 | 1.369886 |
| 0.263673 | 1.369455 |
| 0.264747 | 1.369032 |
| 0.265826 | 1.368615 |
| 0.266909 | 1.368206 |
| 0.267997 | 1.367804 |
| 0.269089 | 1.367409 |
| 0.270186 | 1.36702 |
| 0.271287 | 1.366638 |
| 0.272392 | 1.366262 |
| 0.273502 | 1.365891 |
| 0.274617 | 1.365527 |
| 0.275736 | 1.365168 |
| 0.27686 | 1.364815 |
| 0.277988 | 1.364467 |
| 0.279121 | 1.364125 |
| 0.280258 | 1.363787 |
| 0.2814 | 1.363454 |
| 0.282547 | 1.363126 |
| 0.283699 | 1.362803 |
| 0.284855 | 1.362485 |
| 0.286016 | 1.36217 |
| 0.287181 | 1.36186 |
| 0.288351 | 1.361555 |
| 0.289526 | 1.361253 |
| 0.290706 | 1.360955 |
| 0.291891 | 1.360661 |
| 0.29308 | 1.360371 |
| 0.294275 | 1.360084 |
| 0.295474 | 1.359801 |
| 0.296678 | 1.359522 |
| 0.297887 | 1.359245 |
| 0.299101 | 1.358972 |
| 0.30032 | 1.358703 |
| 0.301544 | 1.358436 |
| 0.302773 | 1.358172 |
| 0.304007 | 1.357911 |
| 0.305245 | 1.357654 |
| 0.306489 | 1.357398 |
| 0.307738 | 1.357146 |
| 0.308992 | 1.356896 |
| 0.310252 | 1.356649 |
| 0.311516 | 1.356405 |
| 0.312785 | 1.356162 |
| 0.31406 | 1.355923 |
| 0.31534 | 1.355685 |
| 0.316625 | 1.35545 |
| 0.317915 | 1.355217 |
| 0.319211 | 1.354987 |
| 0.320512 | 1.354758 |
| 0.321818 | 1.354532 |
| 0.323129 | 1.354307 |
| 0.324446 | 1.354085 |
| 0.325768 | 1.353864 |
| 0.327096 | 1.353645 |
| 0.328429 | 1.353429 |
| 0.329767 | 1.353214 |
| 0.331111 | 1.353 |
| 0.33246 | 1.352789 |
| 0.333815 | 1.352579 |
| 0.335175 | 1.352371 |
| 0.336541 | 1.352165 |
| 0.337913 | 1.35196 |
| 0.33929 | 1.351756 |
| 0.340673 | 1.351555 |
| 0.342061 | 1.351354 |
| 0.343455 | 1.351155 |
| 0.344854 | 1.350958 |
| 0.34626 | 1.350762 |
| 0.347671 | 1.350568 |
| 0.349088 | 1.350375 |
| 0.35051 | 1.350183 |
| 0.351939 | 1.349992 |
| 0.353373 | 1.349803 |
| 0.354813 | 1.349615 |
| 0.356259 | 1.349428 |
| 0.357711 | 1.349243 |
| 0.359168 | 1.349059 |
| 0.360632 | 1.348876 |
| 0.362102 | 1.348694 |
| 0.363577 | 1.348513 |
| 0.365059 | 1.348333 |
| 0.366547 | 1.348155 |
| 0.36804 | 1.347978 |
| 0.36954 | 1.347801 |
| 0.371046 | 1.347626 |
| 0.372558 | 1.347452 |
| 0.374076 | 1.347279 |
| 0.375601 | 1.347107 |
| 0.377131 | 1.346936 |
| 0.378668 | 1.346766 |
| 0.380211 | 1.346597 |
| 0.381761 | 1.346429 |
| 0.383317 | 1.346262 |
| 0.384879 | 1.346096 |
| 0.386447 | 1.345931 |
| 0.388022 | 1.345767 |
| 0.389603 | 1.345603 |
| 0.391191 | 1.345441 |
| 0.392785 | 1.345279 |
| 0.394386 | 1.345119 |
| 0.395993 | 1.344959 |
| 0.397607 | 1.3448 |
| 0.399227 | 1.344643 |
| 0.400854 | 1.344486 |
| 0.402487 | 1.344329 |
| 0.404127 | 1.344174 |
| 0.405774 | 1.34402 |
| 0.407428 | 1.343866 |
| 0.409088 | 1.343713 |
| 0.410755 | 1.343561 |
| 0.412429 | 1.34341 |
| 0.41411 | 1.34326 |
| 0.415798 | 1.34311 |
| 0.417492 | 1.342961 |
| 0.419193 | 1.342813 |
| 0.420902 | 1.342666 |
| 0.422617 | 1.34252 |
| 0.424339 | 1.342374 |
| 0.426068 | 1.34223 |
| 0.427805 | 1.342086 |
| 0.429548 | 1.341942 |
| 0.431298 | 1.3418 |
| 0.433056 | 1.341658 |
| 0.434821 | 1.341517 |
| 0.436593 | 1.341377 |
| 0.438372 | 1.341237 |
| 0.440158 | 1.341098 |
| 0.441952 | 1.34096 |
| 0.443753 | 1.340823 |
| 0.445562 | 1.340686 |
| 0.447377 | 1.340551 |
| 0.4492 | 1.340415 |
| 0.451031 | 1.340281 |
| 0.452869 | 1.340147 |
| 0.454715 | 1.340014 |
| 0.456568 | 1.339882 |
| 0.458428 | 1.33975 |
| 0.460296 | 1.33962 |
| 0.462172 | 1.339489 |
| 0.464056 | 1.33936 |
| 0.465947 | 1.339231 |
| 0.467845 | 1.339103 |
| 0.469752 | 1.338976 |
| 0.471666 | 1.338849 |
| 0.473588 | 1.338723 |
| 0.475518 | 1.338597 |
| 0.477456 | 1.338473 |
| 0.479402 | 1.338349 |
| 0.481355 | 1.338225 |
| 0.483317 | 1.338103 |
| 0.485287 | 1.337981 |
| 0.487264 | 1.337859 |
| 0.48925 | 1.337739 |
| 0.491244 | 1.337619 |
| 0.493246 | 1.337499 |
| 0.495256 | 1.33738 |
| 0.497274 | 1.337262 |
| 0.4993 | 1.337145 |
| 0.501335 | 1.337028 |
| 0.503378 | 1.336912 |
| 0.505429 | 1.336797 |
| 0.507489 | 1.336682 |
| 0.509557 | 1.336568 |
| 0.511634 | 1.336454 |
| 0.513719 | 1.336341 |
| 0.515812 | 1.336229 |
| 0.517914 | 1.336117 |
| 0.520025 | 1.336006 |
| 0.522144 | 1.335896 |
| 0.524272 | 1.335786 |
| 0.526408 | 1.335677 |
| 0.528554 | 1.335568 |
| 0.530708 | 1.33546 |
| 0.53287 | 1.335353 |
| 0.535042 | 1.335246 |
| 0.537222 | 1.33514 |
| 0.539411 | 1.335035 |
| 0.54161 | 1.33493 |
| 0.543817 | 1.334825 |
| 0.546033 | 1.334722 |
| 0.548258 | 1.334619 |
| 0.550492 | 1.334516 |
| 0.552736 | 1.334414 |
| 0.554988 | 1.334313 |
| 0.55725 | 1.334212 |
| 0.559521 | 1.334112 |
| 0.561801 | 1.334013 |
| 0.56409 | 1.333914 |
| 0.566389 | 1.333816 |
| 0.568697 | 1.333718 |
| 0.571015 | 1.333621 |
| 0.573342 | 1.333524 |
| 0.575678 | 1.333428 |
| 0.578024 | 1.333332 |
| 0.58038 | 1.333238 |
| 0.582745 | 1.333143 |
| 0.585119 | 1.333049 |
| 0.587504 | 1.332956 |
| 0.589898 | 1.332864 |
| 0.592302 | 1.332772 |
| 0.594716 | 1.33268 |
| 0.597139 | 1.332589 |
| 0.599573 | 1.332499 |
| 0.602016 | 1.332409 |
| 0.604469 | 1.33232 |
| 0.606933 | 1.332231 |
| 0.609406 | 1.332143 |
| 0.611889 | 1.332055 |
| 0.614383 | 1.331968 |
| 0.616887 | 1.331881 |
| 0.619401 | 1.331795 |
| 0.621925 | 1.33171 |
| 0.624459 | 1.331625 |
| 0.627004 | 1.33154 |
| 0.629559 | 1.331456 |
| 0.632125 | 1.331373 |
| 0.634701 | 1.33129 |
| 0.637287 | 1.331208 |
| 0.639884 | 1.331126 |
| 0.642492 | 1.331044 |
| 0.64511 | 1.330964 |
| 0.647739 | 1.330883 |
| 0.650379 | 1.330803 |
| 0.653029 | 1.330724 |
| 0.65569 | 1.330645 |
| 0.658362 | 1.330567 |
| 0.661045 | 1.330489 |
| 0.663739 | 1.330412 |
| 0.666444 | 1.330335 |
| 0.66916 | 1.330259 |
| 0.671887 | 1.330183 |
| 0.674625 | 1.330108 |
| 0.677374 | 1.330033 |
| 0.680134 | 1.329959 |
| 0.682906 | 1.329885 |
| 0.685689 | 1.329811 |
| 0.688483 | 1.329738 |
| 0.691289 | 1.329666 |
| 0.694106 | 1.329594 |
| 0.696935 | 1.329523 |
| 0.699775 | 1.329451 |
| 0.702626 | 1.329381 |
| 0.70549 | 1.329311 |
| 0.708365 | 1.329241 |
| 0.711251 | 1.329172 |
| 0.71415 | 1.329103 |
| 0.71706 | 1.329035 |
| 0.719982 | 1.328967 |
| 0.722916 | 1.3289 |
| 0.725862 | 1.328833 |
| 0.72882 | 1.328767 |
| 0.73179 | 1.328701 |
| 0.734773 | 1.328635 |
| 0.737767 | 1.32857 |
| 0.740773 | 1.328505 |
| 0.743792 | 1.328441 |
| 0.746823 | 1.328377 |
| 0.749867 | 1.328314 |
| 0.752922 | 1.328251 |
| 0.755991 | 1.328188 |
| 0.759072 | 1.328126 |
| 0.762165 | 1.328064 |
| 0.765271 | 1.328003 |
| 0.768389 | 1.327942 |
| 0.771521 | 1.327882 |
| 0.774665 | 1.327822 |
| 0.777822 | 1.327762 |
| 0.780991 | 1.327703 |
| 0.784174 | 1.327644 |
| 0.78737 | 1.327585 |
| 0.790578 | 1.327527 |
| 0.7938 | 1.32747 |
| 0.797035 | 1.327413 |
| 0.800283 | 1.327356 |
| 0.803544 | 1.327299 |
| 0.806819 | 1.327243 |
| 0.810107 | 1.327188 |
| 0.813408 | 1.327132 |
| 0.816723 | 1.327077 |
| 0.820051 | 1.327023 |
| 0.823393 | 1.326969 |
| 0.826748 | 1.326915 |
| 0.830118 | 1.326862 |
| 0.8335 | 1.326809 |
| 0.836897 | 1.326756 |
| 0.840308 | 1.326704 |
| 0.843732 | 1.326652 |
| 0.84717 | 1.3266 |
| 0.850623 | 1.326549 |
| 0.854089 | 1.326498 |
| 0.85757 | 1.326448 |
| 0.861064 | 1.326398 |
| 0.864573 | 1.326348 |
| 0.868097 | 1.326299 |
| 0.871634 | 1.32625 |
| 0.875186 | 1.326201 |
| 0.878753 | 1.326153 |
| 0.882334 | 1.326105 |
| 0.885929 | 1.326057 |
| 0.88954 | 1.32601 |
| 0.893165 | 1.325963 |
| 0.896805 | 1.325916 |
| 0.900459 | 1.32587 |
| 0.904129 | 1.325824 |
| 0.907813 | 1.325778 |
| 0.911513 | 1.325733 |
| 0.915227 | 1.325688 |
| 0.918957 | 1.325643 |
| 0.922702 | 1.325598 |
| 0.926462 | 1.325554 |
| 0.930237 | 1.325511 |
| 0.934028 | 1.325467 |
| 0.937835 | 1.325424 |
| 0.941656 | 1.325381 |
| 0.945494 | 1.325339 |
| 0.949347 | 1.325297 |
| 0.953216 | 1.325255 |
| 0.9571 | 1.325213 |
| 0.961 | 1.325172 |
| 0.964917 | 1.325131 |
| 0.968849 | 1.32509 |
| 0.972797 | 1.32505 |
| 0.976761 | 1.32501 |
| 0.980742 | 1.32497 |
| 0.984738 | 1.324931 |
| 0.988751 | 1.324891 |
| 0.992781 | 1.324852 |
| 0.996826 | 1.324814 |
| 1.00089 | 1.324775 |
| 1.00497 | 1.324737 |
| 1.00906 | 1.3247 |
| 1.01317 | 1.324662 |
| 1.0173 | 1.324625 |
| 1.02145 | 1.324588 |
| 1.02561 | 1.324551 |
| 1.02979 | 1.324515 |
| 1.03399 | 1.324479 |
| 1.0382 | 1.324443 |
| 1.04243 | 1.324407 |
| 1.04668 | 1.324372 |
| 1.05095 | 1.324336 |
| 1.05523 | 1.324302 |
| 1.05953 | 1.324267 |
| 1.06385 | 1.324233 |
| 1.06818 | 1.324199 |
| 1.07254 | 1.324165 |
| 1.07691 | 1.324131 |
| 1.08129 | 1.324098 |
| 1.0857 | 1.324065 |
| 1.09013 | 1.324032 |
| 1.09457 | 1.323999 |
| 1.09903 | 1.323967 |
| 1.10351 | 1.323935 |
| 1.108 | 1.323903 |
| 1.11252 | 1.323871 |
| 1.11705 | 1.32384 |
| 1.12161 | 1.323809 |
| 1.12618 | 1.323778 |
| 1.13077 | 1.323747 |
| 1.13537 | 1.323717 |
| 1.14 | 1.323687 |
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
- —
High-performance liquid chromatography (HPLC) distilled water at 20.0 °C.
There are typesetting errors in the original paper: In Table 2, the coefficient C must be multiplied by 108 (not 10−8) and the coefficient D must be multiplied by 1012. Additionally, Equation (7) must be multiplied by 1012. With these corrections, and after converting the wavelength to µm, the following expressions can be used to calculate the coefficients of the dispersion formula at any temperature in the 0–100 °C range:
A(t) = 1.3208 − 1.2325×10−5·t − 1.8674×10−6·t2 + 5.0233×10−9·t3
B(t) = 5.2082413×10−3 − 5.179×10−7·t − 2.284×10−8·t2 + 6.9608×10−11·t3
C(t) = −2.5551×10−4 − 1.8341336×10−8·t − 9.172319×10−10·t2 + 2.7729×10−12·t3
D(t) = 9.3495×10−6 + 1.7855×10−3·t + 3.6733×10−1·t2 − 1.2932×101·t3