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Related Concept Videos

Electronic Distance Measuring Instruments01:30

Electronic Distance Measuring Instruments

Electronic Distance Measuring Instruments (EDMs) are essential tools in modern surveying, offering precise distance measurements by emitting electromagnetic signals and calculating the time required for these signals to travel to a target and return. Two primary types of signals are used in EDMs — light waves and microwaves — each suited to specific environmental and distance requirements. Light-wave-based EDMs utilize either infrared or laser light, providing high accuracy over short distances...
Spectrophotometry: Introduction01:16

Spectrophotometry: Introduction

Spectrophotometry is the quantitative measurement of the absorption, reflection, diffraction, or transmission of electromagnetic radiation through a material as a function of the intensity and wavelength of the radiation. A spectrophotometer is a device used to measure the change in the radiation intensity caused by its interaction with the material.
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Voltammetric Techniques: Pulse Voltammetry01:17

Voltammetric Techniques: Pulse Voltammetry

Differential-pulse voltammetry (DPV) is a type of voltammetry that involves applying a series of voltage pulses to an electrochemical cell while measuring the resulting current. In DPV, the differential pulse or small potential pulses are superimposed on a linear potential sweep. The magnitude of these pulses is typically small, often in the millivolt range. Each voltage pulse lasts a short duration, usually in the order of a few milliseconds, and is applied at regular intervals along the...
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There are two main infrared (IR) spectrophotometers: dispersive IR spectrometers and Fourier transform infrared (FTIR) spectrometers. In a dispersive IR spectrometer, a beam of infrared radiation produced by a hot wire is divided into two parallel equal-intensity beams using mirrors. One beam passes through the sample, while another is a reference beam. The beams then move through the monochromator, which separates the radiations into a continuous spectrum of different frequencies. The...
Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation01:26

Inductively Coupled Plasma Atomic Emission Spectroscopy: Instrumentation

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Updated: Jul 7, 2026

Rapid Repetition Rate Fluctuation Measurement of Soliton Crystals in a Microresonator
07:42

Rapid Repetition Rate Fluctuation Measurement of Soliton Crystals in a Microresonator

Published on: December 15, 2021

Simple and highly sensitive optical pulse-characterization method based on electro-optic spectral signal

José Azaña1, Yongwoo Park, Tae-Jung Ahn

  • 1Institut National de la Recherche Scientifique (INRS), Varennes, Québec, Canada. azana@emt.inrs.ca

Optics Letters
|March 4, 2008
PubMed
Summary

A new technique reconstructs optical pulse spectral phase using frequency-domain signal differentiation and two energy spectra. This method accurately characterizes picosecond pulses after fiber dispersion.

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Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
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Rapid Repetition Rate Fluctuation Measurement of Soliton Crystals in a Microresonator
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Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
09:23

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators

Published on: May 30, 2014

Area of Science:

  • Optics and Photonics
  • Ultrafast Science

Background:

  • Accurate characterization of ultrashort optical pulses is crucial for many scientific and technological applications.
  • Existing pulse characterization methods can be complex, time-consuming, or require specialized equipment.

Purpose of the Study:

  • To introduce a simple, self-referenced, linear technique for spectral phase reconstruction of optical pulses.
  • To enable accurate and unambiguous reconstruction of the pulse spectral phase profile.

Main Methods:

  • Utilizing frequency-domain signal differentiation for spectral phase reconstruction.
  • Employing electro-optic intensity modulation with a synchronized radio frequency (RF) sinusoid.
  • Reconstructing the spectral phase from two measured energy spectra (input and output of the modulator) via a direct analytic equation.

Main Results:

  • Demonstrated a simple and effective pulse characterization technique.
  • Achieved accurate and unambiguous spectral phase reconstruction.
  • Successfully characterized microwatt-power picosecond pulses after linear dispersion in conventional single-mode fiber (50-700 m).

Conclusions:

  • The introduced technique offers a straightforward and robust method for optical pulse characterization.
  • This approach is suitable for characterizing low-power picosecond pulses subjected to linear dispersion.