Estimating picometer level low-order wavefront aberrations for ultra-stable telescopes for direct imaging of exoplanets imaging using machine learning

Completed TRL 1 (started at 1, targeting 1)

Description

The objective of this project is to develop and experimentally verify machine-learning algorithms to achieve picometer level wavefront stability required by exoEarth imaging missions

Benefits

Useful for missions that aim to directly image planets outside our solar system.

Details

Technology area	Sensors and Instruments > Remote Sensing Instruments and Sensors > Detectors and Focal Planes
Program	Center Independent Research & Development: GSFC IRAD (GSFC IRAD)
Lead organization	Goddard Space Flight Center, Greenbelt, MD
Start date	2019-10-01
End date	2020-09-30

Project contacts

Listed on TechPort itself — the most direct way to ask about this specific project.

Emily L Wilson — emily.l.wilson@nasa.gov
Keith M Jahoda — keith.m.jahoda@nasa.gov
Terence A Doiron — terence.a.doiron@nasa.gov
Hari B Subedi — hari.b.subedi@nasa.gov
Bruce H Dean — bruce.h.dean@nasa.gov

How to get involved

This is early/mid-stage (TRL 1) — the most realistic path in is NASA SBIR/STTR, which funds small businesses and research institutions to develop technology aligned with NASA's needs (equity-free, phased funding). Check whether a current SBIR/STTR solicitation topic overlaps with this project's technology area, or contact the project directly (above) to ask.

None of these are guaranteed paths for this specific project — TechPort itself doesn't have an "apply" button. Reaching out to the contact(s) above with a specific question is usually the fastest way to find out what's actually open.