Compression of Ultrafast Laser Beams

Abstract

Compression of ultrafast laser pulses is critical to obtain optimal results from many experiments that use a femtosecond laser system. However, as the pulse lengths decrease and peak pulse power increases, pulse compression using static elements such as prisms may not be sufficient to completely compress the laser pulse. This report details the complete construction of a spatial light modulator (SLM)-based 4 frequency Fourier pulse shaper that is used in femtosecond laser pulse compression. First, the theory behind compression of femtosecond lasers is covered and initial pulse compression efforts using static elements are discussed. Next, all aspects of the SLM pulse shaper construction are covered, including part selection, alignment, and calibration curve determination. This technical report also discusses the theory, construction, and evaluation of 2 separate algorithms, a modified genetic algorithm and the multiphoton intrapulse interference phase scan (MIIPS) algorithm, used to optimally compress the femtosecond laser pulses using the pulse shaper. The efficacy of these 2 algorithms when used for pulse compression was evaluated, and it was found that the MIIPS algorithm was superior to the genetic algorithm for pulse compression.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2016
Accession Number
AD1006025

Entities

People

  • Paul Pellegrino
  • Stephen Roberson

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Calibration
  • Compression
  • Evolutionary Algorithms
  • Femtosecond Time
  • Genetic Algorithms
  • Laser Beams
  • Laser Pulses
  • Lasers
  • Light Pulses
  • Modulators
  • Optical Modulators
  • Optical Properties
  • Optics
  • Pulse Compression
  • Refractive Index
  • Spectra

Fields of Study

  • Physics

Readers

  • Neural Network Machine Learning.
  • Optical Physics and Photonics.
  • Radar Systems Engineering.

Technology Areas

  • AI & ML
  • Biotechnology
  • Directed Energy