NASA · NASA-906 · record R0502

Point spread function (PSF) calibration using machine learning (ML) techniques.

National Aeronautics and Space Administration · GSFC: Goddard Space Flight Center

Overview

Development stage: In development or acquisitionSource: a) Pre-deployment – The use case is in a development or acquisition status.
High-impact designation: Not high-impactSource: c) Not high-impact
Impact justification: Not reported
Start date: Not reported
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Science
Operational functions: No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

The Habitable Worlds Observatory (HWO) aims to image and thoroughly characterize exoEarths and is the highest priority of NASA as recommended by the Astro2020 Decadal Survey. With this goal in mind, NASA HQ has directed NASA GSFC to open a program office to facilitate advancing technologies related to HWO. To achieve the target of imaging dim exoplanets (to the order of 10^10 as compared to host star) it is necessary to create and maintain high-contrast zones in the science camera. This imposes stringent constraints on the telescope requirements. At GSFC, we are working on point spread function (PSF) calibration using machine learning (ML) techniques. oUse wavefront sensor camera images as input and science image to train various ML methods.

Expected benefits

Cost and time saving.

System outputs

Mapping between wavefront senor images to science images

Technology

AI classification: Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…
System name(s): Not reported
Custom-developed code: Not reported
Public source code: Not reported

Sourcing

How it was built: Not reported
Vendor (as reported): Not reported
Vendors (standardized): None on the standard list

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII: Not reported
Privacy Impact Assessment: Not reported
Authorization to Operate: Not reported
Demographic features: Not reported
Training and evaluation data: Not reported
Federal Data Catalog: Not reported

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingNo answer reported

AI impact assessmentNo answer reported

Independent reviewNo answer reported

Ongoing monitoringNo answer reported

Operator trainingNo answer reported

Fail-safeNo answer reported

Appeal processNo answer reported

User and public consultationNo answer reported

Potential impacts and how they were identified

Not reported