Grant: Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
McMaster University
$91,300.00
Advanced wavefront sensing through machine learning
FY 2022-23 · 2022-05-01
Summary
When light beams travel through the atmosphere, they are deformed because of variations in temperature, humidity and wind conditions. This makes reconstruction of the signal carried by the light beam very challenging. Wavefront sensing approaches allows one to measure such deformations so that they can corrected. However, doing so efficiently is extremely challenging. The Project aims to develop a better understanding of the fundamental limits of wavefront sensing and to apply advanced ML/AI techniques to optimize the sensing approach. This work will further the development of broadband wavefront sensing systems targeted at space-toground optical communications.
Department
Program
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Recipient
Location
Hamilton|Hamilton, Ontario, Canada
Recipient Type
Academia
Business Number
119035988
Type
Grant
Source
Proactive Disclosure - Grants and Contributions
Amendments
Each version of the agreement as published, oldest first, with its total as of that version. The amount above is the latest.
| Amendment | Date | Fiscal Year | Total |
|---|---|---|---|
| 0 | 2022-05-01 | 2022-23 | $91,300.00 |
| 1 | 2022-05-01 | 2022-23 | $91,300.00 |
As published
Reference Number
172-2021-2022-Q1-989277
Amendment Number
1
Amendment Date
2024-07-30
Agreement Type
Grant
Recipient Type
S
Recipient Business Number
119035988
Recipient Legal Name
McMaster University
Recipient Country
CA
Recipient Province or Territory
ON
Recipient City
Hamilton|Hamilton
Recipient Postal Code
L8S 4L8
Federal Riding
Hamilton West--Ancaster--Dundas
Federal Riding (French)
Hamilton-Ouest--Ancaster--Dundas
Federal Riding Number
35039
Program Name
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Program Name (French)
Programme de collaboration en science, en technologie et en innovation - Initiatives de collaboration en R-D
Program Purpose
Collaborate on multiparty research and development programs to catalyze transformative, high-risk, high-reward research with the potential for game-changing scientific discoveries and technological breakthroughs in priority areas.
Program Purpose (French)
Collaborer à des programmes multipartites de recherche-développement dans le but de profiter de la synergie entre la recherche transformatrice à haut risque et à haut rendement et le potentiel de découvertes scientifiques et de percées technologiques révolutionnaires dans des secteurs d’intervention prioritaires.
Agreement Title
Advanced wavefront sensing through machine learning
Agreement Title (French)
Détection avancée du front d’onde au moyen de l’apprentissage automatique
Agreement Number
989277
Agreement Value
$91,300.00
Agreement Start Date
2022-05-01
Agreement End Date
2025-05-31
Description
When light beams travel through the atmosphere, they are deformed because of variations in temperature, humidity and wind conditions. This makes reconstruction of the signal carried by the light beam very challenging. Wavefront sensing approaches allows one to measure such deformations so that they can corrected. However, doing so efficiently is extremely challenging. The Project aims to develop a better understanding of the fundamental limits of wavefront sensing and to apply advanced ML/AI techniques to optimize the sensing approach. This work will further the development of broadband wavefront sensing systems targeted at space-toground optical communications.
Description (French)
Lorsque les faisceaux lumineux traversent l’atmosphère, ils sont déformés en raison des variations de température, d’humidité et des conditions de vent. Cela rend la reconstruction du signal transporté par le faisceau lumineux très difficile. Les approches de détection du front d’onde permettent de mesurer ces déformations afin de les corriger. Cependant, il est extrêmement difficile de le faire efficacement. Le projet vise à approfondir la compréhension des limites fondamentales de la détection du front d’onde et à appliquer des techniques avancées d’apprentissage automatique et d’intelligence artificielle pour optimiser l’approche de détection. Ces travaux favoriseront le développement de systèmes de détection du front d’onde à large bande pour les communications optiques entre l’espace et la terre.
NAICS Code
541710
Expected Results
In the short term, anticipated outcomes will be strengthened collaborations across industry, academia, and government to support research excellence. In the medium term, anticipated outcomes will be the development of new and potentially disruptive technologies with collaborators. In the long term, find collaborative solutions to public policy challenges and create stronger innovation systems.
Expected Results (French)
À court terme, les résultats prévus seront des collaborations renforcées entre l'industrie, le milieu universitaire et le gouvernement pour soutenir l'excellence en recherche. À moyen terme, les résultats attendus seront le développement de nouvelles technologies potentiellement perturbatrices avec des collaborateurs. À long terme, trouver des solutions collaboratives aux défis des politiques publiques et créer des systèmes d'innovation plus solides.
Additional Information
This agreement has been amended 1 time(s). The end date of this agreement has been modified by 396 days.
Additional Information (French)
Cet accord a été modifié 1 fois. La date de fin du présent accord a été changé de 396 jours.
Organization Code
nrc-cnrc
Organization
National Research Council Canada | Conseil national de recherches Canada
