Unified theory of parametric and Raman scattering processes in multimode fibers: coupling matrix method

Multimode photonics has raised renewed interest as a means of harnessing light states across multiple spatial, temporal, and spectral dimensions, thereby accelerating progress in applications that demand controllable multiplexing and parallel processing. Considerable advances in the manipulation of light propagation and amplification have been achieved, often interpreted through models restricted to specific interaction regimes. In this work, we develop a unified theoretical framework for multimode interactions mediated by Kerr-induced parametric and Raman scattering processes in optical fibers. Starting from the coupled multimode nonlinear Schrödinger equations, we derive a coupling matrix that captures the multimode amplification dynamics, incorporating key control parameters, such as dispersion, nonlinearity, pump power, and pump modal distribution. This framework allows for dynamic control of multimode gain and reveals three distinct regimes: Raman-only, parametric-only, and hybrid regimes where both processes interplay. We experimentally demonstrate Raman gain manipulation in a two-mode fiber, validating the theoretical predictions in the Raman-only regime. The proposed model provides a versatile platform for studying parametric and Raman phenomena in multimode systems and offers new opportunities for advancing multimode-based photonic applications.

Authors

Publication Details

Journal
Photonics Research
Published
2025-11-26
DOI
https://doi.org/10.1364/prj.580290
Citations
1
Primary Topic
Photonic Crystal and Fiber Optics
Type
article
Field-Weighted Citation Impact
0.73
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Unified theory of parametric and Raman scattering processes in multimode fibers: coupling matrix method

Kunhao Ji, Massimiliano Guasoni, Periklis Petropoulos
1 citations
Photonics Research
Photonic Crystal and Fiber Optics
0.73
article

Unified theory of parametric and Raman scattering processes in multimode fibers: coupling matrix method

Kunhao Ji, Massimiliano Guasoni, Periklis Petropoulos
article en
1 citations

Abstract

Multimode photonics has raised renewed interest as a means of harnessing light states across multiple spatial, temporal, and spectral dimensions, thereby accelerating progress in applications that demand controllable multiplexing and parallel processing. Considerable advances in the manipulation of light propagation and amplification have been achieved, often interpreted through models restricted to specific interaction regimes. In this work, we develop a unified theoretical framework for multimode interactions mediated by Kerr-induced parametric and Raman scattering processes in optical fibers. Starting from the coupled multimode nonlinear Schrödinger equations, we derive a coupling matrix that captures the multimode amplification dynamics, incorporating key control parameters, such as dispersion, nonlinearity, pump power, and pump modal distribution. This framework allows for dynamic control of multimode gain and reveals three distinct regimes: Raman-only, parametric-only, and hybrid regimes where both processes interplay. We experimentally demonstrate Raman gain manipulation in a two-mode fiber, validating the theoretical predictions in the Raman-only regime. The proposed model provides a versatile platform for studying parametric and Raman phenomena in multimode systems and offers new opportunities for advancing multimode-based photonic applications.

Photonics ResearchVol. 14(3)
Openalex Percentile: Top 21%
Photonic Crystal and Fiber Optics
0.73
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.