Kalman Filtering for Noise Characterization in Optical Frequency Combs
June 26, 2024
This seminar is part of the Thematic Einstein Semester “Mathematics for Quantum Technologies” (Summer 2024) funded by the Cluster of Excellence MATH+ and the Einstein Foundation Berlin.
Lecturer
Jasper Riebesehl is a PhD student at the Department of Electrical and Photonics Engineering of the Technical University of Denmark (DTU, Kongens Lyngby) working in the research group Machine Learning in Photonic Systems.
Abstract
This talk will explore a novel framework for digital characterization of phase noise in lasers and optical frequency combs, highlighting advantages over traditional analog methods. Key points include:
- Application of the extended Kalman filter (EKF) as a near-optimal phase estimator for accurate phase noise measurements amidst measurement noise.
- Joint processing of multiple comb lines to extract phase noise correlations.
- Application of automatic differentiation and adaptive optimization techniques to optimize high-dimensional state-space models.
- Demonstrations through simulations and experimental data, showcasing the framework’s effectiveness across various optical frequency combs and dual-comb measurements.
- Discussion on digital phase noise compensation, particularly relevant for free-running dual-comb spectroscopy applications.
Location and Time
The seminar will be held in the library of the Weierstrass Institute Berlin (WIAS).
The talk starts at 11 am.
Address:
Hausvogteiplatz 5-7
WIAS Library (room 411, 4th floor)
10117 Berlin
Germany
Public Transport:
U2 Hausvogteiplatz
U5 Museumsinsel
Contact and Further Information
Secretariat: Veronica Bove
Mohrenstr. 39
D–10117 Berlin
Phone: +49 30 20372-539
E-Mail: veronica.bove@wias-berlin.de