Optical constants
Refractive index of Bi12SiO20 (Bismuth silicate, BSO)
Gospodinov et al. 1988: n 0.48–0.70 µm
- Data
- formula 1
- Range
- 0.48–0.7 µm
- Licence
- CC0-1.0
Plot
Click the plot to set the calculator wavelength.
At one wavelength
- Refractive index n
- 2.55405
- Extinction coefficient k
- 0
- Permittivity ε1
- 6.52319
- Permittivity ε2
- 0
- Absorption coefficient α
- 0 cm⁻¹
- Penetration depth δ = λ/(2πk)
- — nm
- Abbe number Vd
- 11.526
- Chromatic dispersion dn/dλ
- -0.652456 µm⁻¹
- Group index ng
- 2.93744
- Group velocity dispersion
- 1548.58 fs²/mm
- Dispersion parameter D
- -8448.31 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
# Bi12SiO20 (Bismuth silicate, BSO): Gospodinov et al. 1988: n 0.48–0.70 µm
bi12sio20 = ls.fetch_refractiveindex("main", "Bi12SiO20", "Gospodinov", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(bi12sio20.range_nm) # (480, 700) nm
eps = bi12sio20.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_cf814293318c/lightsmith"
bi12sio20 = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(bi12sio20.source) # citation and provenance travel with the data
Any dataset here, as the library's Tabulated material (bi12sio20/gospodinov-1988).
# ... load bi12sio20 as above, then:
sim = ls.Simulation(
particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=bi12sio20)],
medium_index=1.0,
wavelengths=ls.WavelengthRange(start_nm=480, 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_cf814293318c/lightsmith?model=drude_lorentz"
bi12sio20_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 0.48 to 0.7 µm.
Coefficients as stored
| Ci | Value |
|---|---|
| C1 | 1.72777 |
| C2 | 3.01705 |
| C3 | 0.2661 |
Comments and conditions
References
Cite
M. Gospodinov et al.. Physical properties of cubic Bi12SiO20, Bulgarian J. Phys. 15, 140-143 (1988). Cited in Handbook of Optics, 3rd edition, Vol. 4. McGraw-Hill 2009; 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 |
|---|---|
| 0.48 | 2.661477 |
| 0.480454 | 2.660792 |
| 0.480909 | 2.660109 |
| 0.481364 | 2.659428 |
| 0.481819 | 2.658749 |
| 0.482275 | 2.658072 |
| 0.482731 | 2.657398 |
| 0.483188 | 2.656726 |
| 0.483645 | 2.656056 |
| 0.484102 | 2.655389 |
| 0.48456 | 2.654723 |
| 0.485019 | 2.65406 |
| 0.485478 | 2.653399 |
| 0.485937 | 2.65274 |
| 0.486397 | 2.652083 |
| 0.486857 | 2.651428 |
| 0.487317 | 2.650776 |
| 0.487778 | 2.650125 |
| 0.48824 | 2.649477 |
| 0.488702 | 2.648831 |
| 0.489164 | 2.648186 |
| 0.489627 | 2.647544 |
| 0.49009 | 2.646904 |
| 0.490554 | 2.646266 |
| 0.491018 | 2.645631 |
| 0.491482 | 2.644997 |
| 0.491947 | 2.644365 |
| 0.492413 | 2.643735 |
| 0.492879 | 2.643107 |
| 0.493345 | 2.642482 |
| 0.493812 | 2.641858 |
| 0.494279 | 2.641236 |
| 0.494746 | 2.640616 |
| 0.495214 | 2.639999 |
| 0.495683 | 2.639383 |
| 0.496152 | 2.638769 |
| 0.496621 | 2.638157 |
| 0.497091 | 2.637547 |
| 0.497561 | 2.636939 |
| 0.498032 | 2.636333 |
| 0.498503 | 2.635729 |
| 0.498975 | 2.635127 |
| 0.499447 | 2.634526 |
| 0.499919 | 2.633928 |
| 0.500392 | 2.633331 |
| 0.500866 | 2.632737 |
| 0.50134 | 2.632144 |
| 0.501814 | 2.631553 |
| 0.502289 | 2.630964 |
| 0.502764 | 2.630377 |
| 0.503239 | 2.629791 |
| 0.503716 | 2.629208 |
| 0.504192 | 2.628626 |
| 0.504669 | 2.628046 |
| 0.505146 | 2.627468 |
| 0.505624 | 2.626892 |
| 0.506103 | 2.626317 |
| 0.506582 | 2.625745 |
| 0.507061 | 2.625174 |
| 0.50754 | 2.624604 |
| 0.508021 | 2.624037 |
| 0.508501 | 2.623471 |
| 0.508982 | 2.622908 |
| 0.509464 | 2.622345 |
| 0.509946 | 2.621785 |
| 0.510428 | 2.621226 |
| 0.510911 | 2.620669 |
| 0.511394 | 2.620114 |
| 0.511878 | 2.619561 |
| 0.512363 | 2.619009 |
| 0.512847 | 2.618459 |
| 0.513332 | 2.61791 |
| 0.513818 | 2.617364 |
| 0.514304 | 2.616818 |
| 0.514791 | 2.616275 |
| 0.515278 | 2.615733 |
| 0.515765 | 2.615193 |
| 0.516253 | 2.614655 |
| 0.516742 | 2.614118 |
| 0.51723 | 2.613583 |
| 0.51772 | 2.613049 |
| 0.51821 | 2.612517 |
| 0.5187 | 2.611987 |
| 0.519191 | 2.611458 |
| 0.519682 | 2.610931 |
| 0.520173 | 2.610406 |
| 0.520665 | 2.609882 |
| 0.521158 | 2.60936 |
| 0.521651 | 2.608839 |
| 0.522145 | 2.60832 |
| 0.522639 | 2.607802 |
| 0.523133 | 2.607286 |
| 0.523628 | 2.606772 |
| 0.524123 | 2.606259 |
| 0.524619 | 2.605747 |
| 0.525115 | 2.605237 |
| 0.525612 | 2.604729 |
| 0.526109 | 2.604222 |
| 0.526607 | 2.603717 |
| 0.527105 | 2.603213 |
| 0.527604 | 2.602711 |
| 0.528103 | 2.60221 |
| 0.528603 | 2.601711 |
| 0.529103 | 2.601213 |
| 0.529603 | 2.600717 |
| 0.530104 | 2.600222 |
| 0.530606 | 2.599729 |
| 0.531108 | 2.599237 |
| 0.53161 | 2.598746 |
| 0.532113 | 2.598257 |
| 0.532617 | 2.59777 |
| 0.533121 | 2.597284 |
| 0.533625 | 2.596799 |
| 0.53413 | 2.596316 |
| 0.534635 | 2.595834 |
| 0.535141 | 2.595353 |
| 0.535647 | 2.594874 |
| 0.536154 | 2.594397 |
| 0.536661 | 2.593921 |
| 0.537169 | 2.593446 |
| 0.537677 | 2.592973 |
| 0.538186 | 2.592501 |
| 0.538695 | 2.59203 |
| 0.539204 | 2.591561 |
| 0.539715 | 2.591093 |
| 0.540225 | 2.590626 |
| 0.540736 | 2.590161 |
| 0.541248 | 2.589697 |
| 0.54176 | 2.589235 |
| 0.542272 | 2.588774 |
| 0.542785 | 2.588314 |
| 0.543299 | 2.587856 |
| 0.543813 | 2.587399 |
| 0.544327 | 2.586943 |
| 0.544842 | 2.586489 |
| 0.545358 | 2.586036 |
| 0.545874 | 2.585584 |
| 0.54639 | 2.585133 |
| 0.546907 | 2.584684 |
| 0.547424 | 2.584236 |
| 0.547942 | 2.58379 |
| 0.548461 | 2.583344 |
| 0.54898 | 2.5829 |
| 0.549499 | 2.582458 |
| 0.550019 | 2.582016 |
| 0.550539 | 2.581576 |
| 0.55106 | 2.581137 |
| 0.551581 | 2.580699 |
| 0.552103 | 2.580263 |
| 0.552625 | 2.579828 |
| 0.553148 | 2.579394 |
| 0.553672 | 2.578961 |
| 0.554195 | 2.57853 |
| 0.55472 | 2.578099 |
| 0.555244 | 2.57767 |
| 0.55577 | 2.577242 |
| 0.556296 | 2.576816 |
| 0.556822 | 2.576391 |
| 0.557349 | 2.575966 |
| 0.557876 | 2.575544 |
| 0.558404 | 2.575122 |
| 0.558932 | 2.574701 |
| 0.559461 | 2.574282 |
| 0.55999 | 2.573864 |
| 0.56052 | 2.573447 |
| 0.56105 | 2.573031 |
| 0.561581 | 2.572616 |
| 0.562112 | 2.572203 |
| 0.562644 | 2.571791 |
| 0.563176 | 2.571379 |
| 0.563709 | 2.570969 |
| 0.564242 | 2.570561 |
| 0.564776 | 2.570153 |
| 0.56531 | 2.569746 |
| 0.565845 | 2.569341 |
| 0.56638 | 2.568937 |
| 0.566916 | 2.568534 |
| 0.567453 | 2.568132 |
| 0.567989 | 2.567731 |
| 0.568527 | 2.567331 |
| 0.569065 | 2.566932 |
| 0.569603 | 2.566535 |
| 0.570142 | 2.566139 |
| 0.570681 | 2.565743 |
| 0.571221 | 2.565349 |
| 0.571762 | 2.564956 |
| 0.572302 | 2.564564 |
| 0.572844 | 2.564173 |
| 0.573386 | 2.563783 |
| 0.573928 | 2.563394 |
| 0.574471 | 2.563007 |
| 0.575015 | 2.56262 |
| 0.575559 | 2.562235 |
| 0.576103 | 2.56185 |
| 0.576648 | 2.561467 |
| 0.577194 | 2.561084 |
| 0.57774 | 2.560703 |
| 0.578286 | 2.560323 |
| 0.578833 | 2.559944 |
| 0.579381 | 2.559565 |
| 0.579929 | 2.559188 |
| 0.580478 | 2.558812 |
| 0.581027 | 2.558437 |
| 0.581577 | 2.558063 |
| 0.582127 | 2.55769 |
| 0.582678 | 2.557318 |
| 0.583229 | 2.556947 |
| 0.583781 | 2.556577 |
| 0.584333 | 2.556209 |
| 0.584886 | 2.555841 |
| 0.585439 | 2.555474 |
| 0.585993 | 2.555108 |
| 0.586547 | 2.554743 |
| 0.587102 | 2.554379 |
| 0.587658 | 2.554016 |
| 0.588214 | 2.553654 |
| 0.58877 | 2.553293 |
| 0.589327 | 2.552933 |
| 0.589885 | 2.552574 |
| 0.590443 | 2.552216 |
| 0.591001 | 2.551859 |
| 0.59156 | 2.551503 |
| 0.59212 | 2.551148 |
| 0.59268 | 2.550794 |
| 0.593241 | 2.550441 |
| 0.593802 | 2.550088 |
| 0.594364 | 2.549737 |
| 0.594926 | 2.549387 |
| 0.595489 | 2.549037 |
| 0.596052 | 2.548689 |
| 0.596616 | 2.548341 |
| 0.597181 | 2.547995 |
| 0.597746 | 2.547649 |
| 0.598311 | 2.547304 |
| 0.598877 | 2.546961 |
| 0.599444 | 2.546618 |
| 0.600011 | 2.546276 |
| 0.600578 | 2.545935 |
| 0.601147 | 2.545595 |
| 0.601715 | 2.545255 |
| 0.602285 | 2.544917 |
| 0.602854 | 2.54458 |
| 0.603425 | 2.544243 |
| 0.603996 | 2.543908 |
| 0.604567 | 2.543573 |
| 0.605139 | 2.543239 |
| 0.605711 | 2.542906 |
| 0.606284 | 2.542574 |
| 0.606858 | 2.542243 |
| 0.607432 | 2.541913 |
| 0.608007 | 2.541583 |
| 0.608582 | 2.541255 |
| 0.609158 | 2.540927 |
| 0.609734 | 2.5406 |
| 0.610311 | 2.540274 |
| 0.610888 | 2.539949 |
| 0.611466 | 2.539625 |
| 0.612045 | 2.539302 |
| 0.612624 | 2.538979 |
| 0.613203 | 2.538658 |
| 0.613783 | 2.538337 |
| 0.614364 | 2.538017 |
| 0.614945 | 2.537698 |
| 0.615527 | 2.53738 |
| 0.616109 | 2.537062 |
| 0.616692 | 2.536746 |
| 0.617276 | 2.53643 |
| 0.61786 | 2.536115 |
| 0.618444 | 2.535801 |
| 0.619029 | 2.535488 |
| 0.619615 | 2.535175 |
| 0.620201 | 2.534863 |
| 0.620788 | 2.534553 |
| 0.621375 | 2.534243 |
| 0.621963 | 2.533933 |
| 0.622551 | 2.533625 |
| 0.62314 | 2.533317 |
| 0.62373 | 2.533011 |
| 0.62432 | 2.532705 |
| 0.62491 | 2.5324 |
| 0.625502 | 2.532095 |
| 0.626093 | 2.531792 |
| 0.626686 | 2.531489 |
| 0.627279 | 2.531187 |
| 0.627872 | 2.530886 |
| 0.628466 | 2.530585 |
| 0.629061 | 2.530285 |
| 0.629656 | 2.529987 |
| 0.630251 | 2.529688 |
| 0.630848 | 2.529391 |
| 0.631444 | 2.529095 |
| 0.632042 | 2.528799 |
| 0.63264 | 2.528504 |
| 0.633238 | 2.528209 |
| 0.633837 | 2.527916 |
| 0.634437 | 2.527623 |
| 0.635037 | 2.527331 |
| 0.635638 | 2.52704 |
| 0.636239 | 2.526749 |
| 0.636841 | 2.52646 |
| 0.637444 | 2.526171 |
| 0.638047 | 2.525882 |
| 0.63865 | 2.525595 |
| 0.639255 | 2.525308 |
| 0.639859 | 2.525022 |
| 0.640465 | 2.524737 |
| 0.641071 | 2.524452 |
| 0.641677 | 2.524168 |
| 0.642284 | 2.523885 |
| 0.642892 | 2.523603 |
| 0.6435 | 2.523321 |
| 0.644109 | 2.52304 |
| 0.644718 | 2.52276 |
| 0.645328 | 2.52248 |
| 0.645939 | 2.522201 |
| 0.64655 | 2.521923 |
| 0.647161 | 2.521646 |
| 0.647774 | 2.521369 |
| 0.648386 | 2.521093 |
| 0.649 | 2.520818 |
| 0.649614 | 2.520543 |
| 0.650228 | 2.52027 |
| 0.650843 | 2.519996 |
| 0.651459 | 2.519724 |
| 0.652076 | 2.519452 |
| 0.652692 | 2.519181 |
| 0.65331 | 2.518911 |
| 0.653928 | 2.518641 |
| 0.654547 | 2.518372 |
| 0.655166 | 2.518103 |
| 0.655786 | 2.517836 |
| 0.656406 | 2.517569 |
| 0.657027 | 2.517302 |
| 0.657649 | 2.517037 |
| 0.658271 | 2.516772 |
| 0.658894 | 2.516507 |
| 0.659517 | 2.516244 |
| 0.660141 | 2.515981 |
| 0.660765 | 2.515718 |
| 0.66139 | 2.515457 |
| 0.662016 | 2.515196 |
| 0.662642 | 2.514935 |
| 0.663269 | 2.514676 |
| 0.663897 | 2.514416 |
| 0.664525 | 2.514158 |
| 0.665154 | 2.5139 |
| 0.665783 | 2.513643 |
| 0.666413 | 2.513387 |
| 0.667043 | 2.513131 |
| 0.667674 | 2.512876 |
| 0.668306 | 2.512621 |
| 0.668938 | 2.512367 |
| 0.669571 | 2.512114 |
| 0.670204 | 2.511861 |
| 0.670838 | 2.511609 |
| 0.671473 | 2.511358 |
| 0.672108 | 2.511107 |
| 0.672744 | 2.510857 |
| 0.673381 | 2.510607 |
| 0.674018 | 2.510359 |
| 0.674655 | 2.51011 |
| 0.675294 | 2.509863 |
| 0.675932 | 2.509616 |
| 0.676572 | 2.509369 |
| 0.677212 | 2.509123 |
| 0.677853 | 2.508878 |
| 0.678494 | 2.508633 |
| 0.679136 | 2.508389 |
| 0.679778 | 2.508146 |
| 0.680421 | 2.507903 |
| 0.681065 | 2.507661 |
| 0.681709 | 2.50742 |
| 0.682354 | 2.507179 |
| 0.683 | 2.506938 |
| 0.683646 | 2.506698 |
| 0.684293 | 2.506459 |
| 0.68494 | 2.506221 |
| 0.685588 | 2.505982 |
| 0.686237 | 2.505745 |
| 0.686886 | 2.505508 |
| 0.687536 | 2.505272 |
| 0.688186 | 2.505036 |
| 0.688837 | 2.504801 |
| 0.689489 | 2.504567 |
| 0.690141 | 2.504333 |
| 0.690794 | 2.504099 |
| 0.691448 | 2.503866 |
| 0.692102 | 2.503634 |
| 0.692757 | 2.503402 |
| 0.693412 | 2.503171 |
| 0.694068 | 2.502941 |
| 0.694725 | 2.502711 |
| 0.695382 | 2.502481 |
| 0.69604 | 2.502253 |
| 0.696698 | 2.502024 |
| 0.697357 | 2.501797 |
| 0.698017 | 2.501569 |
| 0.698677 | 2.501343 |
| 0.699338 | 2.501117 |
| 0.7 | 2.500891 |
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
- —
Room temperature