Massachusetts Institute of Technology
Self-referenced 1.5 [mu]m fiber frequency combs at GHz repetition rates
Abstract
dc:description.abstractTremendous advances in recent years to the optical frequency comb, particularly frequency combs deriving from solid-state and fiber architectures, have enabled a host of important new applications to emerge - applications which include optical arbitrary waveform generation (OAWG), high-speed photonic analog-to-digital conversion (EPIC), space exploration (Astro- Comb) as well as precision spectroscopy and optical clocks. Fiber-based frequency combs have increasingly become attractive alternatives to solid-state systems due to their compact size and robust operation and have recently demonstrated performance comparable to their more traditional counterparts. One area for improvement, however, is in the repetition rate of such systems, as fiber frequency combs based on Ytterbium (Yb) and Erbium (Er) technologies currently only operate with repetition rates =/< 1GHz and =/< 300MHz, respectively, while solid-state frequency combs have been demonstrated up to 10GHz. This thesis reports on the development of a 1 GHz repetition rate Erbium-doped fiber laser frequency comb and discusses its potential to be scaled to even higher repetition rates. Nanojoule femtosecond pulses are produced at a GHz repetition rate and used to generate over an octave of supercontinuum spanning 1 [mu]m -2.4 [mu]m. Carrier-envelope offset frequency (fceo) detection using f-2f self-referencing provides confirmation that the continuum's frequency comb structure remains intact after undergoing amplification, compression, and supercontinuum generation. The fceo beat, along with the laser repetition rate frep, are locked to stable microwave reference oscillators, yielding, to the best of our knowledge, the first octave-spanning self-referenced optical frequency comb centered at the 1.5 [mu]m telecom band generated at or above a GHz repetition rate.
Degree
thesis:*- Department dc:contributor.department
- Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
- Grantor dc:publisher
- Massachusetts Institute of Technology
- Year dc:date.issued
- 2012
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Chao, David, Ph. D. Massachusetts Institute of Technology
- Advisor dc:contributor.advisor
-
- Erich P. Ippen.
Subjects
dc:subject × 1Rights
dc:rights- Statement dc:rights
-
- M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
- Licence dc:rights.uri
- Language dc:language.iso
- eng
Identifiers
dc:identifier.*- Handle dc:identifier.uri
- http://hdl.handle.net/1721.1/70788
- OAI identifier oai:identifier
- oai:dspace.mit.edu:1721.1/70788