Input data (select one):
1) Absorption cross section (σ_abs) or
2) Experimental oscillator strength (f_exp) or
3) Experimental linestrength (S_exp)or
4) Judd-Ofelt parameters - Ω₂,Ω₄,Ω₆
+ square matrix elements, mean wavelength, dispersion of refractive index

Output data: Judd-Ofelt parameters - Ω₂,Ω₄,Ω₆; transition probabilities, branching ratios or theoretical radiative lifetimes

Links:
Modul documentation
Open module

Brief modul description:
Judd-Ofelt analysis is a comprehensive methodology utilized in the study of rare-earth ion spectroscopy within various type of materials. This analytical approach focuses on quantifying the interaction between the local matrix field and the 4f electron configuration of rare-earth ions, providing insights into their optical behavior. By employing a set of parameters known as Judd-Ofelt parameters, denoted as Ωi (I=2,4,6), the theory systematically describes the strength and nature of these interactions, which govern the absorption and emission spectra of rare-earth-doped materials. Through rigorous analysis and interpretation of experimental data, Judd-Ofelt analysis enables researchers to predict the relative intensities of spectral transitions and tailor the optical properties of rare-earth-doped materials for diverse applications, including lasers, phosphors, and optical amplifiers.

Input data (select one):
1) Absorption cross section (σ_abs) or
2) Experimental oscillator strength (f_exp) or
3) Experimental linestrength (S_exp)or
+ square matrix elements, mean wavelength, dispersion of refractive index
Condition: number of involved transitions must be higher than four (N_abs>4)

Links:
Modul documentation
Open module

Brief modul description:
By utilizing a higher-than-minimum number of measured absorption bands for conducting a classical Judd-Ofelt analysis, the new combinatorial Judd-Ofelt method is presented in order to study stability and consistency in the calculation of the JO parameters. Presented module therefore facilitate better comparisons of obtained JO parameter values across the literature and provide an opportunity to discuss potential biases.