Interactive, on-line software for Judd-Ofelt analysis: introduction and demonstration

The Judd-Ofelt (J-O) analysis, presented independently by B. R. Judd and G. S. Ofelt in 1962, represents one of the most important tools in the research and rare-earth (RE) doped optical materials and evaluation of their spectroscopic properties, including optical fibers. The J-O theory describes the 4f-4f transitions with three phenomenological J-O parameters, which can be in turn used to calculate transition probabilities, branching ratios and radiative lifetimes. This contribution presents a brief overview of the main principles behind the J-O analysis, and introduces a newly developed, interactive, online software for the unified calculation of J-O analysis of all RE ions, and demonstrates the functionality on selected materials.

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Publication Details

Published
2025-05-29
DOI
https://doi.org/10.1117/12.3057422
Primary Topic
Model Reduction and Neural Networks
Type
article
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article

Interactive, on-line software for Judd-Ofelt analysis: introduction and demonstration

Robin Kryštůfek, Petr Vařák, Ján Hrabovský
Model Reduction and Neural Networks
article

Interactive, on-line software for Judd-Ofelt analysis: introduction and demonstration

Robin Kryštůfek, Petr Vařák, Ján Hrabovský
article en

Abstract

The Judd-Ofelt (J-O) analysis, presented independently by B. R. Judd and G. S. Ofelt in 1962, represents one of the most important tools in the research and rare-earth (RE) doped optical materials and evaluation of their spectroscopic properties, including optical fibers. The J-O theory describes the 4f-4f transitions with three phenomenological J-O parameters, which can be in turn used to calculate transition probabilities, branching ratios and radiative lifetimes. This contribution presents a brief overview of the main principles behind the J-O analysis, and introduces a newly developed, interactive, online software for the unified calculation of J-O analysis of all RE ions, and demonstrates the functionality on selected materials.

Charles University (CZ), Czech Academy of Sciences, Institute of Organic Chemistry and Biochemistry (CZ), Czech Academy of Sciences, Institute of Photonics and Electronics (CZ), University of Chemistry and Technology, Prague (CZ)
Openalex Percentile: Top 90%
Model Reduction and Neural Networks
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