Temporal imaging of ultrafast signals in time and space simultaneously

Avi Klein, Inbar Sibony, Sara Meir, Ori Friedman, Shir Shahal, Hamootal Duadi, Moti Fridman

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Time-lenses were developed rapidly over the last year. They enable measurements of ultrafast signals which were not measured before with limited electronics detectors. Time-lens enable to image ultrafast signals from sub picosecond time-scales to nanosecond time-scale while preserving the intensity, phase and state of polarization. However, most time-lenses are focus only on the time-domain and ignore the spatial domain. This hinder many ultrafast phenomena which combine the dynamics in time and space together. In this proceeding, we demonstrate the measured results of the mode splitter which is a crucial device for achieving a time-lens which combines time and space.

Original languageEnglish
Title of host publicationReal-Time Measurements, Rogue Phenomena, and Single-Shot Applications V
EditorsDaniel R. Solli, Georg Herink, Serge Bielawski
PublisherSPIE
ISBN (Electronic)9781510632936
DOIs
StatePublished - 2020
EventReal-Time Measurements, Rogue Phenomena, and Single-Shot Applications V 2020 - San Francisco, United States
Duration: 4 Feb 2020 → …

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11265
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceReal-Time Measurements, Rogue Phenomena, and Single-Shot Applications V 2020
Country/TerritoryUnited States
CitySan Francisco
Period4/02/20 → …

Bibliographical note

Publisher Copyright:
© COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

Keywords

  • Extreme events
  • Four-wave mixing
  • Optical data processing
  • Rogue waves

Fingerprint

Dive into the research topics of 'Temporal imaging of ultrafast signals in time and space simultaneously'. Together they form a unique fingerprint.

Cite this