Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • 2017 European Conference on Lasers and Electro-Optics and European Quantum Electronics Conference
  • (Optica Publishing Group, 2017),
  • paper EA_10_4

Modal Analysis of Photon-Number Statics in a Supercontinuum Laser Pulse

Not Accessible

Your library or personal account may give you access

Abstract

A supercontinuum (SC) laser pulse, which is generated through third-order nonlinear process, is valuable light for various applications such as optical coherence tomography (OCT), and spectral measurement. Coherence of a SC pulse is one of the most important properties because the accuracy and sensitivity of these measurements are determined by its noise property. Recently, the second-order coherence property has been revealed by some numerical simulations and experiments [1,2]. According to these previous reports, the coherence of the SC pulse has been almost lost through the spectral broadening process. However, the depletion of the coherence has been studied only in two bases: time and frequency. Thus, we experimentally study the coherent basis from noisy modes of the SC pulse by utilizing multimode quantum theory [3,4].

© 2017 IEEE

PDF Article
More Like This
Development and noise study of an all fibre-based high energy supercontinuum source using tapered photonic crystal fibre for multimodalities

Magalie Bondu, Peter Morten Moselund, and Adrian Podoleanu
CJ_P_25 The European Conference on Lasers and Electro-Optics (CLEO/Europe) 2017

Effects of Fluctuations of Pulse Duration and Peak Power on the Coherence Properties of Supercontinuum Spectra

Lai Liu, Kenshiro Nagasaka, Takenobu Suzuki, and Yasutake Ohishi
JW4A.122 Frontiers in Optics (FiO) 2017

Control of Optical Rogue Waves in CW Pumped Supercontinuum With a Weak Femtosecond Pulse Seed

Peng Lu and Qian Li
JW4A.108 Frontiers in Optics (FiO) 2017

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.