CaGdAlO4 (Calcium gadolinium aluminate, CALGO)
Glasses, oxides and dielectrics anisotropic
2 datasets, together covering 0.35–2.1 µm. Default: Loiko et al. 2017: n(o) 0.35–2.1 µm.
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Use it in Lightsmith
Load this data in Python, simulate in one more line
pip install lightsmith
import lightsmith as ls
# CaGdAlO4 (Calcium gadolinium aluminate, CALGO): Loiko et al. 2017: n(o) 0.35–2.1 µm
cagdalo4 = ls.fetch_refractiveindex("main", "CaGdAlO4", "Loiko-o", ref="c5c2f188e848453def5970e347399d653df2ffc2")
print(cagdalo4.range_nm) # (350, 2100) nm
eps = cagdalo4.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_698065d982ad/lightsmith"
cagdalo4 = ls.Tabulated.model_validate(json.load(urllib.request.urlopen(url)))
print(cagdalo4.source) # citation and provenance travel with the data
Any dataset here, as the library's Tabulated material (cagdalo4/loiko-2017-o).
# ... load cagdalo4 as above, then:
sim = ls.Simulation(
particles=[ls.Particle(shape=ls.Sphere(radius_nm=50), material=cagdalo4)],
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.
About CaGdAlO4 (Calcium gadolinium aluminate, CALGO)
Calcium gadolinium aluminum oxide (CaGdAlO4), commonly abbreviated as CALGO, is a crystalline material that has attracted interest for its optical and scintillating properties. It crystallizes in an orthorhombic structure and is characterized by high thermal stability, making it suitable for high-temperature applications. CALGO is known for its high light yield, fast decay time, and low afterglow, which makes it an attractive candidate for scintillator applications in radiation detection and medical imaging. Additionally, its transparency over a wide wavelength range and good mechanical properties have led to its exploration in the fabrication of optical components like lenses and waveguides. CALGO can be synthesized through various techniques, such as solid-state reactions and flux growth, allowing for tunability in its optical properties through doping or compositional adjustments. Overall, the unique combination of optical, thermal, and mechanical characteristics makes CALGO a promising material for a range of applications in optics, photonics, and radiation detection.
Other names: Calcium gadolinium aluminate, CALGO, Calcium gadolinium aluminate, CALGO
API: /v1/materials/mat_1e923a64c7bd · slug cagdalo4