Optical constants
Refractive index of LaF3 (Lanthanum fluoride)
Laihoa and Lakkistoa 1983: n(e) 0.35–0.70 µm
- Data
- formula 1
- Range
- 0.35–0.7 µm
- Optical axis
- e
- State
- crystalline
- Licence
- CC0-1.0
Uniaxial crystal, axes: oe
Plot
Click the plot to set the calculator wavelength.
At one wavelength
- Refractive index n
- 1.59671
- Extinction coefficient k
- 0
- Permittivity ε1
- 2.5495
- Permittivity ε2
- 0
- Absorption coefficient α
- 0 cm⁻¹
- Penetration depth δ = λ/(2πk)
- — nm
- Abbe number Vd
- 81.257
- Chromatic dispersion dn/dλ
- -0.0377149 µm⁻¹
- Group index ng
- 1.61888
- Group velocity dispersion
- 70.9657 fs²/mm
- Dispersion parameter D
- -387.156 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
# LaF3 (Lanthanum fluoride): Laihoa and Lakkistoa 1983: n(e) 0.35–0.70 µm
laf3 = ls.fetch_refractiveindex("main", "LaF3", "Laihoa-e", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(laf3.range_nm) # (350, 700) nm
eps = laf3.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_b39b3c669dda/lightsmith"
laf3 = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(laf3.source) # citation and provenance travel with the data
Any dataset here, as the library's Tabulated material (laf3/laihoa-lakkistoa-1983-e).
# ... load laf3 as above, then:
sim = ls.Simulation(
particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=laf3)],
medium_index=1.0,
wavelengths=ls.WavelengthRange(start_nm=400, stop_nm=700, 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"]).
import json, urllib.request
import lightsmith as ls
url = "https://materials.lightsmith.dev/v1/datasets/ds_b39b3c669dda/lightsmith?model=drude_lorentz"
laf3_dl = ls.DrudeLorentz.model_validate(json.load(urllib.request.urlopen(url)))
A dispersive Drude–Lorentz model for time-domain solvers.
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
Sellmeier (formula 1), λ in µmValid from 0.35 to 0.7 µm.
Coefficients as stored
| Ci | Value |
|---|---|
| C1 | 0.0 |
| C2 | 1.5149 |
| C3 | 0.0878 |
Comments and conditions
Conditions
- direction
- e
References
- doi:10.1080/13642818308226470 Investigation of the refractive indices of LaF<sub>3</sub>, CeF<sub>3</sub>, PrF<sub>3</sub> and NdF<sub>3</sub>, Philosophical Magazine B (1983)
Cite
R. Laiho and M. Lakkisto. Investigation of the refractive indices of LaF<sub>3</sub>, CeF<sub>3</sub>, PrF<sub>3</sub> and NdF<sub>3</sub>. Philosophical Magazine B, 48, 203-207 (1983), doi:10.1080/13642818308226470; 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 |
|---|---|
| 0.35 | 1.617601 |
| 0.350609 | 1.617485 |
| 0.351218 | 1.617369 |
| 0.351829 | 1.617253 |
| 0.352441 | 1.617138 |
| 0.353053 | 1.617024 |
| 0.353667 | 1.61691 |
| 0.354282 | 1.616796 |
| 0.354898 | 1.616683 |
| 0.355515 | 1.61657 |
| 0.356133 | 1.616458 |
| 0.356753 | 1.616346 |
| 0.357373 | 1.616234 |
| 0.357994 | 1.616123 |
| 0.358617 | 1.616012 |
| 0.35924 | 1.615902 |
| 0.359865 | 1.615792 |
| 0.360491 | 1.615683 |
| 0.361117 | 1.615574 |
| 0.361745 | 1.615465 |
| 0.362374 | 1.615357 |
| 0.363004 | 1.615249 |
| 0.363635 | 1.615142 |
| 0.364268 | 1.615035 |
| 0.364901 | 1.614929 |
| 0.365536 | 1.614822 |
| 0.366171 | 1.614717 |
| 0.366808 | 1.614612 |
| 0.367446 | 1.614507 |
| 0.368084 | 1.614402 |
| 0.368724 | 1.614298 |
| 0.369366 | 1.614194 |
| 0.370008 | 1.614091 |
| 0.370651 | 1.613988 |
| 0.371296 | 1.613886 |
| 0.371941 | 1.613784 |
| 0.372588 | 1.613682 |
| 0.373236 | 1.613581 |
| 0.373885 | 1.61348 |
| 0.374535 | 1.613379 |
| 0.375186 | 1.613279 |
| 0.375838 | 1.613179 |
| 0.376492 | 1.61308 |
| 0.377146 | 1.612981 |
| 0.377802 | 1.612882 |
| 0.378459 | 1.612784 |
| 0.379117 | 1.612686 |
| 0.379776 | 1.612588 |
| 0.380437 | 1.612491 |
| 0.381098 | 1.612394 |
| 0.381761 | 1.612298 |
| 0.382424 | 1.612202 |
| 0.383089 | 1.612106 |
| 0.383755 | 1.612011 |
| 0.384423 | 1.611916 |
| 0.385091 | 1.611821 |
| 0.385761 | 1.611727 |
| 0.386431 | 1.611633 |
| 0.387103 | 1.611539 |
| 0.387776 | 1.611446 |
| 0.388451 | 1.611353 |
| 0.389126 | 1.611261 |
| 0.389803 | 1.611169 |
| 0.39048 | 1.611077 |
| 0.391159 | 1.610986 |
| 0.391839 | 1.610894 |
| 0.392521 | 1.610804 |
| 0.393203 | 1.610713 |
| 0.393887 | 1.610623 |
| 0.394572 | 1.610533 |
| 0.395258 | 1.610444 |
| 0.395945 | 1.610355 |
| 0.396633 | 1.610266 |
| 0.397323 | 1.610178 |
| 0.398014 | 1.61009 |
| 0.398706 | 1.610002 |
| 0.399399 | 1.609915 |
| 0.400094 | 1.609828 |
| 0.400789 | 1.609741 |
| 0.401486 | 1.609655 |
| 0.402184 | 1.609568 |
| 0.402883 | 1.609483 |
| 0.403584 | 1.609397 |
| 0.404286 | 1.609312 |
| 0.404989 | 1.609227 |
| 0.405693 | 1.609143 |
| 0.406398 | 1.609059 |
| 0.407105 | 1.608975 |
| 0.407813 | 1.608891 |
| 0.408522 | 1.608808 |
| 0.409232 | 1.608725 |
| 0.409944 | 1.608643 |
| 0.410656 | 1.60856 |
| 0.41137 | 1.608478 |
| 0.412086 | 1.608397 |
| 0.412802 | 1.608315 |
| 0.41352 | 1.608234 |
| 0.414239 | 1.608154 |
| 0.414959 | 1.608073 |
| 0.415681 | 1.607993 |
| 0.416403 | 1.607913 |
| 0.417127 | 1.607834 |
| 0.417853 | 1.607754 |
| 0.418579 | 1.607675 |
| 0.419307 | 1.607597 |
| 0.420036 | 1.607518 |
| 0.420766 | 1.60744 |
| 0.421498 | 1.607363 |
| 0.422231 | 1.607285 |
| 0.422965 | 1.607208 |
| 0.4237 | 1.607131 |
| 0.424437 | 1.607054 |
| 0.425175 | 1.606978 |
| 0.425914 | 1.606902 |
| 0.426655 | 1.606826 |
| 0.427397 | 1.606751 |
| 0.42814 | 1.606675 |
| 0.428884 | 1.606601 |
| 0.42963 | 1.606526 |
| 0.430377 | 1.606452 |
| 0.431125 | 1.606377 |
| 0.431875 | 1.606304 |
| 0.432626 | 1.60623 |
| 0.433378 | 1.606157 |
| 0.434131 | 1.606084 |
| 0.434886 | 1.606011 |
| 0.435642 | 1.605939 |
| 0.4364 | 1.605866 |
| 0.437159 | 1.605795 |
| 0.437919 | 1.605723 |
| 0.43868 | 1.605652 |
| 0.439443 | 1.60558 |
| 0.440207 | 1.60551 |
| 0.440972 | 1.605439 |
| 0.441739 | 1.605369 |
| 0.442507 | 1.605299 |
| 0.443277 | 1.605229 |
| 0.444047 | 1.605159 |
| 0.444819 | 1.60509 |
| 0.445593 | 1.605021 |
| 0.446368 | 1.604952 |
| 0.447144 | 1.604884 |
| 0.447921 | 1.604815 |
| 0.4487 | 1.604747 |
| 0.44948 | 1.604679 |
| 0.450262 | 1.604612 |
| 0.451044 | 1.604545 |
| 0.451829 | 1.604478 |
| 0.452614 | 1.604411 |
| 0.453401 | 1.604344 |
| 0.45419 | 1.604278 |
| 0.454979 | 1.604212 |
| 0.45577 | 1.604146 |
| 0.456563 | 1.604081 |
| 0.457357 | 1.604015 |
| 0.458152 | 1.60395 |
| 0.458949 | 1.603886 |
| 0.459747 | 1.603821 |
| 0.460546 | 1.603757 |
| 0.461347 | 1.603693 |
| 0.462149 | 1.603629 |
| 0.462952 | 1.603565 |
| 0.463757 | 1.603502 |
| 0.464564 | 1.603438 |
| 0.465371 | 1.603376 |
| 0.466181 | 1.603313 |
| 0.466991 | 1.60325 |
| 0.467803 | 1.603188 |
| 0.468616 | 1.603126 |
| 0.469431 | 1.603064 |
| 0.470247 | 1.603003 |
| 0.471065 | 1.602941 |
| 0.471884 | 1.60288 |
| 0.472705 | 1.602819 |
| 0.473526 | 1.602759 |
| 0.47435 | 1.602698 |
| 0.475175 | 1.602638 |
| 0.476001 | 1.602578 |
| 0.476828 | 1.602518 |
| 0.477657 | 1.602459 |
| 0.478488 | 1.6024 |
| 0.47932 | 1.60234 |
| 0.480153 | 1.602282 |
| 0.480988 | 1.602223 |
| 0.481825 | 1.602164 |
| 0.482662 | 1.602106 |
| 0.483501 | 1.602048 |
| 0.484342 | 1.60199 |
| 0.485184 | 1.601933 |
| 0.486028 | 1.601875 |
| 0.486873 | 1.601818 |
| 0.48772 | 1.601761 |
| 0.488568 | 1.601704 |
| 0.489417 | 1.601648 |
| 0.490268 | 1.601591 |
| 0.49112 | 1.601535 |
| 0.491974 | 1.601479 |
| 0.49283 | 1.601424 |
| 0.493687 | 1.601368 |
| 0.494545 | 1.601313 |
| 0.495405 | 1.601258 |
| 0.496266 | 1.601203 |
| 0.497129 | 1.601148 |
| 0.497993 | 1.601093 |
| 0.498859 | 1.601039 |
| 0.499727 | 1.600985 |
| 0.500596 | 1.600931 |
| 0.501466 | 1.600877 |
| 0.502338 | 1.600824 |
| 0.503211 | 1.600771 |
| 0.504086 | 1.600717 |
| 0.504963 | 1.600664 |
| 0.505841 | 1.600612 |
| 0.50672 | 1.600559 |
| 0.507601 | 1.600507 |
| 0.508484 | 1.600455 |
| 0.509368 | 1.600403 |
| 0.510254 | 1.600351 |
| 0.511141 | 1.600299 |
| 0.51203 | 1.600248 |
| 0.51292 | 1.600196 |
| 0.513812 | 1.600145 |
| 0.514705 | 1.600095 |
| 0.5156 | 1.600044 |
| 0.516496 | 1.599993 |
| 0.517394 | 1.599943 |
| 0.518294 | 1.599893 |
| 0.519195 | 1.599843 |
| 0.520098 | 1.599793 |
| 0.521002 | 1.599744 |
| 0.521908 | 1.599694 |
| 0.522816 | 1.599645 |
| 0.523725 | 1.599596 |
| 0.524635 | 1.599547 |
| 0.525547 | 1.599498 |
| 0.526461 | 1.59945 |
| 0.527377 | 1.599402 |
| 0.528294 | 1.599353 |
| 0.529212 | 1.599305 |
| 0.530132 | 1.599258 |
| 0.531054 | 1.59921 |
| 0.531977 | 1.599163 |
| 0.532902 | 1.599115 |
| 0.533829 | 1.599068 |
| 0.534757 | 1.599021 |
| 0.535687 | 1.598974 |
| 0.536618 | 1.598928 |
| 0.537551 | 1.598881 |
| 0.538486 | 1.598835 |
| 0.539422 | 1.598789 |
| 0.54036 | 1.598743 |
| 0.5413 | 1.598697 |
| 0.542241 | 1.598652 |
| 0.543184 | 1.598606 |
| 0.544128 | 1.598561 |
| 0.545074 | 1.598516 |
| 0.546022 | 1.598471 |
| 0.546971 | 1.598426 |
| 0.547922 | 1.598382 |
| 0.548875 | 1.598337 |
| 0.549829 | 1.598293 |
| 0.550785 | 1.598249 |
| 0.551743 | 1.598205 |
| 0.552702 | 1.598161 |
| 0.553663 | 1.598117 |
| 0.554626 | 1.598074 |
| 0.55559 | 1.59803 |
| 0.556556 | 1.597987 |
| 0.557524 | 1.597944 |
| 0.558493 | 1.597901 |
| 0.559465 | 1.597859 |
| 0.560437 | 1.597816 |
| 0.561412 | 1.597774 |
| 0.562388 | 1.597731 |
| 0.563366 | 1.597689 |
| 0.564345 | 1.597647 |
| 0.565326 | 1.597606 |
| 0.566309 | 1.597564 |
| 0.567294 | 1.597522 |
| 0.56828 | 1.597481 |
| 0.569269 | 1.59744 |
| 0.570258 | 1.597399 |
| 0.57125 | 1.597358 |
| 0.572243 | 1.597317 |
| 0.573238 | 1.597277 |
| 0.574235 | 1.597236 |
| 0.575233 | 1.597196 |
| 0.576233 | 1.597156 |
| 0.577235 | 1.597116 |
| 0.578239 | 1.597076 |
| 0.579244 | 1.597036 |
| 0.580251 | 1.596996 |
| 0.58126 | 1.596957 |
| 0.582271 | 1.596918 |
| 0.583283 | 1.596879 |
| 0.584298 | 1.59684 |
| 0.585314 | 1.596801 |
| 0.586331 | 1.596762 |
| 0.587351 | 1.596723 |
| 0.588372 | 1.596685 |
| 0.589395 | 1.596646 |
| 0.59042 | 1.596608 |
| 0.591446 | 1.59657 |
| 0.592475 | 1.596532 |
| 0.593505 | 1.596495 |
| 0.594537 | 1.596457 |
| 0.59557 | 1.596419 |
| 0.596606 | 1.596382 |
| 0.597643 | 1.596345 |
| 0.598682 | 1.596308 |
| 0.599723 | 1.596271 |
| 0.600766 | 1.596234 |
| 0.601811 | 1.596197 |
| 0.602857 | 1.596161 |
| 0.603905 | 1.596124 |
| 0.604955 | 1.596088 |
| 0.606007 | 1.596052 |
| 0.607061 | 1.596016 |
| 0.608116 | 1.59598 |
| 0.609174 | 1.595944 |
| 0.610233 | 1.595908 |
| 0.611294 | 1.595873 |
| 0.612357 | 1.595837 |
| 0.613421 | 1.595802 |
| 0.614488 | 1.595767 |
| 0.615556 | 1.595732 |
| 0.616627 | 1.595697 |
| 0.617699 | 1.595662 |
| 0.618773 | 1.595628 |
| 0.619849 | 1.595593 |
| 0.620927 | 1.595559 |
| 0.622006 | 1.595524 |
| 0.623088 | 1.59549 |
| 0.624171 | 1.595456 |
| 0.625256 | 1.595422 |
| 0.626343 | 1.595389 |
| 0.627432 | 1.595355 |
| 0.628523 | 1.595321 |
| 0.629616 | 1.595288 |
| 0.630711 | 1.595255 |
| 0.631808 | 1.595221 |
| 0.632906 | 1.595188 |
| 0.634007 | 1.595155 |
| 0.635109 | 1.595123 |
| 0.636213 | 1.59509 |
| 0.637319 | 1.595057 |
| 0.638428 | 1.595025 |
| 0.639538 | 1.594992 |
| 0.64065 | 1.59496 |
| 0.641763 | 1.594928 |
| 0.642879 | 1.594896 |
| 0.643997 | 1.594864 |
| 0.645117 | 1.594832 |
| 0.646238 | 1.594801 |
| 0.647362 | 1.594769 |
| 0.648488 | 1.594738 |
| 0.649615 | 1.594706 |
| 0.650745 | 1.594675 |
| 0.651876 | 1.594644 |
| 0.65301 | 1.594613 |
| 0.654145 | 1.594582 |
| 0.655282 | 1.594551 |
| 0.656422 | 1.594521 |
| 0.657563 | 1.59449 |
| 0.658706 | 1.59446 |
| 0.659852 | 1.594429 |
| 0.660999 | 1.594399 |
| 0.662148 | 1.594369 |
| 0.6633 | 1.594339 |
| 0.664453 | 1.594309 |
| 0.665608 | 1.594279 |
| 0.666766 | 1.59425 |
| 0.667925 | 1.59422 |
| 0.669086 | 1.59419 |
| 0.67025 | 1.594161 |
| 0.671415 | 1.594132 |
| 0.672582 | 1.594103 |
| 0.673752 | 1.594074 |
| 0.674923 | 1.594045 |
| 0.676097 | 1.594016 |
| 0.677272 | 1.593987 |
| 0.67845 | 1.593958 |
| 0.679629 | 1.59393 |
| 0.680811 | 1.593901 |
| 0.681995 | 1.593873 |
| 0.683181 | 1.593845 |
| 0.684369 | 1.593817 |
| 0.685558 | 1.593789 |
| 0.68675 | 1.593761 |
| 0.687945 | 1.593733 |
| 0.689141 | 1.593705 |
| 0.690339 | 1.593677 |
| 0.691539 | 1.59365 |
| 0.692742 | 1.593622 |
| 0.693946 | 1.593595 |
| 0.695153 | 1.593568 |
| 0.696361 | 1.593541 |
| 0.697572 | 1.593514 |
| 0.698785 | 1.593487 |
| 0.7 | 1.59346 |
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
- —
Extraordinary ray (e)