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 CD_3_4

Optical parametric amplification in a random medium: BBO nanopowder

Not Accessible

Your library or personal account may give you access

Abstract

The emission and propagation of light in disordered media has always been a topic of interest in science, mainly because in nature this is the most common way of light emission and propagation. This research topic received a particular attention after the report of the first highly efficient random laser (RL) [1]. Indeed a large number of investigations discussing the fundamentals and the applications of RL’s have been developed in the past decade. Among the motivations for such studies, we mention the RL simplicity and the low spatial coherence associated to its emission, which are indispensable requirements, for instance, on speckle-free full field imaging [2]. Here we present a new low-spatial-coherence-laser-based source, the random optical parametric emitter (ROPE) in a nanopowder consisting of β-BaB2O4 (β-BBO) 10-nm-nanocrystals.

© 2017 IEEE

PDF Article
More Like This
Optical parametric amplification of a more than one-octave bandwidth pulse in a BBO crystal pumped by a 712-nm tuned Ti:sapphire laser pulse

Yu-Chieh Lin, Yasuo Nabekawa, Reza Amani, and Katsumi Midorikawa
NTu2A.6 Nonlinear Optics (NLO) 2017

Generation of Few-Cycle 2.2-mJ Pulses at 2.05 μm by Type II Optical Parametric Amplification in BBO

Guibao Xu, Scott F. Wandel, and Igor Jovanovic
FTh2A.4 Frontiers in Optics (FiO) 2013

Optical parametric amplification of short-wave infrared monocycle pulses in BBO crystals pumped by red femtosecond pulses

Yu-Chieh Lin, Yasuo Nabekawa, and Katsumi Midorikawa
STh3E.4 CLEO: Science and Innovations (CLEO:S&I) 2019

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.