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Rick Trebino

Researcher at Georgia Institute of Technology

Publications -  429
Citations -  14302

Rick Trebino is an academic researcher from Georgia Institute of Technology. The author has contributed to research in topics: Ultrashort pulse & Frequency-resolved optical gating. The author has an hindex of 54, co-authored 421 publications receiving 13600 citations. Previous affiliations of Rick Trebino include Sandia National Laboratories & Georgia Tech Research Institute.

Papers
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Book ChapterDOI

Measurements of Ultracomplex and Ultraweak Pulses with FROG

TL;DR: The FROG technique is extended to the measurement of ultracomplex (supercontinuum) and ultraweak (bioluminescence) light pulses, and only minor modifications to the apparatus and algorithm are required.
Proceedings ArticleDOI

Pulse propagation in air-silica microstructure optical fibers

TL;DR: In this article, the spatial mode properties of microstructure fibers and examine the propagation of femtosecond pulses with peak powers ranging up to 300 watts through fiber lengths ranging from 1 to 50 meters.
Book ChapterDOI

Measuring Spatiotemporal Distortions with GRENOUILLE

TL;DR: In this article, the authors assume that the laser beams have separable spatial and temporal dependencies, which greatly simplifies the theoretical treatment of ultrashort laser pulses, but is increasingly difficult to maintain as ever shorter pulse lengths and ever greater bandwidths are routinely generated in ultrafast laboratories.
Proceedings ArticleDOI

Increased phase-matching bandwidth in GRENOUILLE measurements

TL;DR: This paper shows how a simple dithering of the lateral beam position can generate a sufficient range of angles to achieve phase-matching without measurement trade-offs, and can be made to existing GRENOUILLE setups without the need to change the existing optics.
Proceedings ArticleDOI

Modeling of pulse compressors using Kostenbauder matrices

TL;DR: This paper presents a method for modeling ultrashort-laser-pulse compressors/stretchers using Kostenbauder matrices, which is computationally much faster than the other equivalent approaches, such as use of Wigner matrices andWigner functions.