Optical constants
Refractive index of (C5H8O2)n (Poly(methyl methacrylate), PMMA)
Tsuda et al. 2018: n 0.6–1.0 µm
- Data
- formula 5
- Range
- 0.6–1 µm
- Licence
- CC0-1.0
Plot
Click the plot to set the calculator wavelength.
At one wavelength
- Refractive index n
- 1.48161
- Extinction coefficient k
- 0
- Permittivity ε1
- 2.19516
- Permittivity ε2
- 0
- Absorption coefficient α
- 0 cm⁻¹
- Penetration depth δ = λ/(2πk)
- — nm
- Abbe number Vd
- —
- Chromatic dispersion dn/dλ
- -0.024006 µm⁻¹
- Group index ng
- 1.50021
- Group velocity dispersion
- 51.3112 fs²/mm
- Dispersion parameter D
- -160.92 ps/(nm·km)
- Photon energy
- 1.5998 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
# (C5H8O2)n (Poly(methyl methacrylate), PMMA): Tsuda et al. 2018: n 0.6–1.0 µm
mat = ls.fetch_refractiveindex("organic", "poly_methyl_methacrylate", "Tsuda", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(mat.range_nm) # (600, 1000) nm
eps = mat.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_9be4ad51ca6c/lightsmith"
mat = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(mat.source) # citation and provenance travel with the data
Any dataset here, as the library's Tabulated material (poly-methyl-methacrylate/tsuda-2018).
# ... load mat as above, then:
sim = ls.Simulation(
particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=mat)],
medium_index=1.0,
wavelengths=ls.WavelengthRange(start_nm=600, 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 0.6 to 1.0 µm.
Coefficients as stored
| Ci | Value |
|---|---|
| C1 | 1.47 |
| C2 | 0.008354 |
| C3 | -2.0 |
| C4 | -0.0008309 |
| C5 | -4.0 |
Comments and conditions
References
- doi:10.1364/oe.26.006899 Spectral and angular shaping of infrared radiation in a polymer resonator with molecular vibrational modes, Optics Express (2018)
Cite
Shinichiro Tsuda, Shuhei Yamaguchi, Yoshiaki Kanamori and Hiroo Yugami. Spectral and angular shaping of infrared radiation in a polymer resonator with molecular vibrational modes. Optics Express, 26, 6899 (2018), doi:10.1364/oe.26.006899; 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 |
|---|---|
| 0.6 | 1.486794 |
| 0.600769 | 1.486768 |
| 0.601538 | 1.486741 |
| 0.602309 | 1.486714 |
| 0.603081 | 1.486688 |
| 0.603853 | 1.486661 |
| 0.604627 | 1.486635 |
| 0.605401 | 1.486608 |
| 0.606177 | 1.486581 |
| 0.606953 | 1.486554 |
| 0.607731 | 1.486528 |
| 0.60851 | 1.486501 |
| 0.609289 | 1.486474 |
| 0.61007 | 1.486447 |
| 0.610851 | 1.486421 |
| 0.611634 | 1.486394 |
| 0.612417 | 1.486367 |
| 0.613202 | 1.48634 |
| 0.613987 | 1.486314 |
| 0.614774 | 1.486287 |
| 0.615562 | 1.48626 |
| 0.61635 | 1.486233 |
| 0.61714 | 1.486206 |
| 0.61793 | 1.486179 |
| 0.618722 | 1.486153 |
| 0.619515 | 1.486126 |
| 0.620308 | 1.486099 |
| 0.621103 | 1.486072 |
| 0.621899 | 1.486045 |
| 0.622695 | 1.486018 |
| 0.623493 | 1.485992 |
| 0.624292 | 1.485965 |
| 0.625092 | 1.485938 |
| 0.625892 | 1.485911 |
| 0.626694 | 1.485884 |
| 0.627497 | 1.485857 |
| 0.628301 | 1.48583 |
| 0.629106 | 1.485803 |
| 0.629912 | 1.485777 |
| 0.630719 | 1.48575 |
| 0.631527 | 1.485723 |
| 0.632336 | 1.485696 |
| 0.633146 | 1.485669 |
| 0.633957 | 1.485642 |
| 0.634769 | 1.485615 |
| 0.635582 | 1.485588 |
| 0.636397 | 1.485561 |
| 0.637212 | 1.485535 |
| 0.638028 | 1.485508 |
| 0.638845 | 1.485481 |
| 0.639664 | 1.485454 |
| 0.640483 | 1.485427 |
| 0.641304 | 1.4854 |
| 0.642125 | 1.485373 |
| 0.642948 | 1.485347 |
| 0.643772 | 1.48532 |
| 0.644596 | 1.485293 |
| 0.645422 | 1.485266 |
| 0.646249 | 1.485239 |
| 0.647077 | 1.485212 |
| 0.647906 | 1.485186 |
| 0.648736 | 1.485159 |
| 0.649567 | 1.485132 |
| 0.650399 | 1.485105 |
| 0.651232 | 1.485078 |
| 0.652067 | 1.485052 |
| 0.652902 | 1.485025 |
| 0.653738 | 1.484998 |
| 0.654576 | 1.484971 |
| 0.655415 | 1.484945 |
| 0.656254 | 1.484918 |
| 0.657095 | 1.484891 |
| 0.657937 | 1.484864 |
| 0.65878 | 1.484838 |
| 0.659624 | 1.484811 |
| 0.660469 | 1.484784 |
| 0.661315 | 1.484758 |
| 0.662162 | 1.484731 |
| 0.66301 | 1.484704 |
| 0.66386 | 1.484678 |
| 0.66471 | 1.484651 |
| 0.665562 | 1.484625 |
| 0.666414 | 1.484598 |
| 0.667268 | 1.484571 |
| 0.668123 | 1.484545 |
| 0.668979 | 1.484518 |
| 0.669836 | 1.484492 |
| 0.670694 | 1.484465 |
| 0.671553 | 1.484439 |
| 0.672413 | 1.484412 |
| 0.673275 | 1.484386 |
| 0.674137 | 1.484359 |
| 0.675001 | 1.484333 |
| 0.675866 | 1.484306 |
| 0.676731 | 1.48428 |
| 0.677598 | 1.484253 |
| 0.678466 | 1.484227 |
| 0.679336 | 1.484201 |
| 0.680206 | 1.484174 |
| 0.681077 | 1.484148 |
| 0.68195 | 1.484122 |
| 0.682823 | 1.484095 |
| 0.683698 | 1.484069 |
| 0.684574 | 1.484043 |
| 0.685451 | 1.484016 |
| 0.686329 | 1.48399 |
| 0.687208 | 1.483964 |
| 0.688089 | 1.483938 |
| 0.68897 | 1.483912 |
| 0.689853 | 1.483885 |
| 0.690737 | 1.483859 |
| 0.691622 | 1.483833 |
| 0.692508 | 1.483807 |
| 0.693395 | 1.483781 |
| 0.694283 | 1.483755 |
| 0.695173 | 1.483729 |
| 0.696063 | 1.483703 |
| 0.696955 | 1.483677 |
| 0.697848 | 1.483651 |
| 0.698742 | 1.483625 |
| 0.699637 | 1.483599 |
| 0.700533 | 1.483573 |
| 0.701431 | 1.483547 |
| 0.702329 | 1.483521 |
| 0.703229 | 1.483495 |
| 0.70413 | 1.483469 |
| 0.705032 | 1.483444 |
| 0.705935 | 1.483418 |
| 0.706839 | 1.483392 |
| 0.707745 | 1.483366 |
| 0.708652 | 1.483341 |
| 0.709559 | 1.483315 |
| 0.710468 | 1.483289 |
| 0.711379 | 1.483263 |
| 0.71229 | 1.483238 |
| 0.713203 | 1.483212 |
| 0.714116 | 1.483187 |
| 0.715031 | 1.483161 |
| 0.715947 | 1.483135 |
| 0.716864 | 1.48311 |
| 0.717783 | 1.483084 |
| 0.718702 | 1.483059 |
| 0.719623 | 1.483034 |
| 0.720545 | 1.483008 |
| 0.721468 | 1.482983 |
| 0.722392 | 1.482957 |
| 0.723318 | 1.482932 |
| 0.724244 | 1.482907 |
| 0.725172 | 1.482881 |
| 0.726101 | 1.482856 |
| 0.727031 | 1.482831 |
| 0.727963 | 1.482806 |
| 0.728895 | 1.48278 |
| 0.729829 | 1.482755 |
| 0.730764 | 1.48273 |
| 0.7317 | 1.482705 |
| 0.732637 | 1.48268 |
| 0.733576 | 1.482655 |
| 0.734516 | 1.48263 |
| 0.735457 | 1.482605 |
| 0.736399 | 1.48258 |
| 0.737342 | 1.482555 |
| 0.738287 | 1.48253 |
| 0.739233 | 1.482505 |
| 0.74018 | 1.48248 |
| 0.741128 | 1.482455 |
| 0.742077 | 1.48243 |
| 0.743028 | 1.482406 |
| 0.74398 | 1.482381 |
| 0.744933 | 1.482356 |
| 0.745887 | 1.482331 |
| 0.746843 | 1.482307 |
| 0.7478 | 1.482282 |
| 0.748758 | 1.482257 |
| 0.749717 | 1.482233 |
| 0.750677 | 1.482208 |
| 0.751639 | 1.482184 |
| 0.752602 | 1.482159 |
| 0.753566 | 1.482135 |
| 0.754532 | 1.48211 |
| 0.755498 | 1.482086 |
| 0.756466 | 1.482061 |
| 0.757435 | 1.482037 |
| 0.758405 | 1.482013 |
| 0.759377 | 1.481988 |
| 0.76035 | 1.481964 |
| 0.761324 | 1.48194 |
| 0.762299 | 1.481916 |
| 0.763276 | 1.481891 |
| 0.764254 | 1.481867 |
| 0.765233 | 1.481843 |
| 0.766213 | 1.481819 |
| 0.767195 | 1.481795 |
| 0.768177 | 1.481771 |
| 0.769162 | 1.481747 |
| 0.770147 | 1.481723 |
| 0.771134 | 1.481699 |
| 0.772121 | 1.481675 |
| 0.773111 | 1.481651 |
| 0.774101 | 1.481627 |
| 0.775093 | 1.481603 |
| 0.776086 | 1.48158 |
| 0.77708 | 1.481556 |
| 0.778075 | 1.481532 |
| 0.779072 | 1.481508 |
| 0.78007 | 1.481485 |
| 0.78107 | 1.481461 |
| 0.78207 | 1.481437 |
| 0.783072 | 1.481414 |
| 0.784075 | 1.48139 |
| 0.78508 | 1.481367 |
| 0.786085 | 1.481343 |
| 0.787092 | 1.48132 |
| 0.788101 | 1.481296 |
| 0.78911 | 1.481273 |
| 0.790121 | 1.48125 |
| 0.791134 | 1.481226 |
| 0.792147 | 1.481203 |
| 0.793162 | 1.48118 |
| 0.794178 | 1.481157 |
| 0.795195 | 1.481133 |
| 0.796214 | 1.48111 |
| 0.797234 | 1.481087 |
| 0.798255 | 1.481064 |
| 0.799278 | 1.481041 |
| 0.800302 | 1.481018 |
| 0.801327 | 1.480995 |
| 0.802354 | 1.480972 |
| 0.803382 | 1.480949 |
| 0.804411 | 1.480926 |
| 0.805441 | 1.480903 |
| 0.806473 | 1.48088 |
| 0.807506 | 1.480857 |
| 0.808541 | 1.480835 |
| 0.809577 | 1.480812 |
| 0.810614 | 1.480789 |
| 0.811652 | 1.480766 |
| 0.812692 | 1.480744 |
| 0.813733 | 1.480721 |
| 0.814776 | 1.480699 |
| 0.81582 | 1.480676 |
| 0.816865 | 1.480654 |
| 0.817911 | 1.480631 |
| 0.818959 | 1.480609 |
| 0.820008 | 1.480586 |
| 0.821059 | 1.480564 |
| 0.82211 | 1.480541 |
| 0.823164 | 1.480519 |
| 0.824218 | 1.480497 |
| 0.825274 | 1.480475 |
| 0.826331 | 1.480452 |
| 0.82739 | 1.48043 |
| 0.82845 | 1.480408 |
| 0.829511 | 1.480386 |
| 0.830574 | 1.480364 |
| 0.831638 | 1.480342 |
| 0.832703 | 1.48032 |
| 0.83377 | 1.480298 |
| 0.834838 | 1.480276 |
| 0.835908 | 1.480254 |
| 0.836979 | 1.480232 |
| 0.838051 | 1.48021 |
| 0.839124 | 1.480188 |
| 0.840199 | 1.480167 |
| 0.841276 | 1.480145 |
| 0.842354 | 1.480123 |
| 0.843433 | 1.480101 |
| 0.844513 | 1.48008 |
| 0.845595 | 1.480058 |
| 0.846678 | 1.480037 |
| 0.847763 | 1.480015 |
| 0.848849 | 1.479994 |
| 0.849937 | 1.479972 |
| 0.851025 | 1.479951 |
| 0.852116 | 1.479929 |
| 0.853207 | 1.479908 |
| 0.8543 | 1.479887 |
| 0.855395 | 1.479865 |
| 0.856491 | 1.479844 |
| 0.857588 | 1.479823 |
| 0.858686 | 1.479802 |
| 0.859786 | 1.47978 |
| 0.860888 | 1.479759 |
| 0.861991 | 1.479738 |
| 0.863095 | 1.479717 |
| 0.864201 | 1.479696 |
| 0.865308 | 1.479675 |
| 0.866416 | 1.479654 |
| 0.867526 | 1.479633 |
| 0.868638 | 1.479612 |
| 0.869751 | 1.479591 |
| 0.870865 | 1.479571 |
| 0.87198 | 1.47955 |
| 0.873097 | 1.479529 |
| 0.874216 | 1.479508 |
| 0.875336 | 1.479488 |
| 0.876457 | 1.479467 |
| 0.87758 | 1.479446 |
| 0.878704 | 1.479426 |
| 0.87983 | 1.479405 |
| 0.880957 | 1.479385 |
| 0.882086 | 1.479364 |
| 0.883216 | 1.479344 |
| 0.884347 | 1.479323 |
| 0.88548 | 1.479303 |
| 0.886615 | 1.479283 |
| 0.88775 | 1.479262 |
| 0.888888 | 1.479242 |
| 0.890026 | 1.479222 |
| 0.891167 | 1.479202 |
| 0.892308 | 1.479181 |
| 0.893451 | 1.479161 |
| 0.894596 | 1.479141 |
| 0.895742 | 1.479121 |
| 0.89689 | 1.479101 |
| 0.898039 | 1.479081 |
| 0.899189 | 1.479061 |
| 0.900341 | 1.479041 |
| 0.901494 | 1.479021 |
| 0.902649 | 1.479002 |
| 0.903806 | 1.478982 |
| 0.904964 | 1.478962 |
| 0.906123 | 1.478942 |
| 0.907284 | 1.478922 |
| 0.908446 | 1.478903 |
| 0.90961 | 1.478883 |
| 0.910775 | 1.478863 |
| 0.911942 | 1.478844 |
| 0.91311 | 1.478824 |
| 0.91428 | 1.478805 |
| 0.915451 | 1.478785 |
| 0.916624 | 1.478766 |
| 0.917798 | 1.478746 |
| 0.918974 | 1.478727 |
| 0.920151 | 1.478708 |
| 0.92133 | 1.478688 |
| 0.92251 | 1.478669 |
| 0.923692 | 1.47865 |
| 0.924875 | 1.478631 |
| 0.92606 | 1.478612 |
| 0.927247 | 1.478592 |
| 0.928435 | 1.478573 |
| 0.929624 | 1.478554 |
| 0.930815 | 1.478535 |
| 0.932007 | 1.478516 |
| 0.933201 | 1.478497 |
| 0.934397 | 1.478478 |
| 0.935594 | 1.478459 |
| 0.936792 | 1.47844 |
| 0.937993 | 1.478422 |
| 0.939194 | 1.478403 |
| 0.940397 | 1.478384 |
| 0.941602 | 1.478365 |
| 0.942808 | 1.478347 |
| 0.944016 | 1.478328 |
| 0.945226 | 1.478309 |
| 0.946437 | 1.478291 |
| 0.947649 | 1.478272 |
| 0.948863 | 1.478254 |
| 0.950079 | 1.478235 |
| 0.951296 | 1.478217 |
| 0.952514 | 1.478198 |
| 0.953735 | 1.47818 |
| 0.954956 | 1.478162 |
| 0.95618 | 1.478143 |
| 0.957405 | 1.478125 |
| 0.958631 | 1.478107 |
| 0.959859 | 1.478088 |
| 0.961089 | 1.47807 |
| 0.96232 | 1.478052 |
| 0.963553 | 1.478034 |
| 0.964787 | 1.478016 |
| 0.966023 | 1.477998 |
| 0.967261 | 1.47798 |
| 0.9685 | 1.477962 |
| 0.969741 | 1.477944 |
| 0.970983 | 1.477926 |
| 0.972227 | 1.477908 |
| 0.973473 | 1.47789 |
| 0.97472 | 1.477872 |
| 0.975968 | 1.477855 |
| 0.977219 | 1.477837 |
| 0.978471 | 1.477819 |
| 0.979724 | 1.477802 |
| 0.980979 | 1.477784 |
| 0.982236 | 1.477766 |
| 0.983494 | 1.477749 |
| 0.984754 | 1.477731 |
| 0.986016 | 1.477714 |
| 0.987279 | 1.477696 |
| 0.988544 | 1.477679 |
| 0.98981 | 1.477661 |
| 0.991078 | 1.477644 |
| 0.992348 | 1.477627 |
| 0.993619 | 1.477609 |
| 0.994892 | 1.477592 |
| 0.996167 | 1.477575 |
| 0.997443 | 1.477557 |
| 0.998721 | 1.47754 |
| 1 | 1.477523 |
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
- —
MicroChem PMMA resist with a molecular weight of 950,000; Baked at 100 °C for 10 min on a hot plate.