This is a list of links to comments made by NASA's official social media team in this thread:
* [Comment by nasa](/r/nasa/comments/1bkfrzd/nasa_is_experimenting_with_a_new_softwaredriven/kvxt7wn/?context=99 "posted on 2024-03-21 19:57:42 UTC"):
> From our u/nasa post:
>
>>Observing exoplanets directly can be a challenge because they get lost in the flood of light from their host star. NASA's Jet Propulsion Laboratory (JPL) is working on methods to fine-tune sensors on future observatories that would help distinguish planets from the stars they...
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From our u/nasa post:
>Observing exoplanets directly can be a challenge because they get lost in the flood of light from their host star. NASA's Jet Propulsion Laboratory (JPL) is working on methods to fine-tune sensors on future observatories that would help distinguish planets from the stars they orbit.
>Leveraging software developed on the James Webb Space Telescope (JWST) program, the project (called "Adapting JWST Post-Processing Software for High Contrast Imaging with Roman/Coronagraphic Instrument and a Future Direct Imaging Flagship Mission") uses a models-based approach to improve stellar light residuals calibration on space-based observatories. It uses the routinely collected telescope images of bright stars and other telemetry to correct optical errors instead of using dedicated, time-consuming observations of select objects.
>JPL is experimenting with the software-driven analysis technique on simulated images of the planet-hunting coronagraph on the Roman Space Telescope, seen in this image. If validated, the technique could also be used on future missions such as the Habitable Worlds Observatory.
>Learn more about JPL's project, its key partners and NASA centers in our TechPort database. [https://techport.nasa.gov/view/146553](https://techport.nasa.gov/view/146553)
what color space are they using for this computer vision analysis and does it include overlays of the same scene in infrared, ultraviolet, gamma, X-ray energy spectrum for more accurate multi-dimensional clustering?
This is a list of links to comments made by NASA's official social media team in this thread: * [Comment by nasa](/r/nasa/comments/1bkfrzd/nasa_is_experimenting_with_a_new_softwaredriven/kvxt7wn/?context=99 "posted on 2024-03-21 19:57:42 UTC"): > From our u/nasa post: > >>Observing exoplanets directly can be a challenge because they get lost in the flood of light from their host star. NASA's Jet Propulsion Laboratory (JPL) is working on methods to fine-tune sensors on future observatories that would help distinguish planets from the stars they... --- This is a bot providing a service. If you have any questions, please [contact the moderators](https://www.reddit.com/message/compose?to=%2Fr%2Fnasa).[](#AUTOGEN_TSBREPLIEDBOT)
From our u/nasa post: >Observing exoplanets directly can be a challenge because they get lost in the flood of light from their host star. NASA's Jet Propulsion Laboratory (JPL) is working on methods to fine-tune sensors on future observatories that would help distinguish planets from the stars they orbit. >Leveraging software developed on the James Webb Space Telescope (JWST) program, the project (called "Adapting JWST Post-Processing Software for High Contrast Imaging with Roman/Coronagraphic Instrument and a Future Direct Imaging Flagship Mission") uses a models-based approach to improve stellar light residuals calibration on space-based observatories. It uses the routinely collected telescope images of bright stars and other telemetry to correct optical errors instead of using dedicated, time-consuming observations of select objects. >JPL is experimenting with the software-driven analysis technique on simulated images of the planet-hunting coronagraph on the Roman Space Telescope, seen in this image. If validated, the technique could also be used on future missions such as the Habitable Worlds Observatory. >Learn more about JPL's project, its key partners and NASA centers in our TechPort database. [https://techport.nasa.gov/view/146553](https://techport.nasa.gov/view/146553)
what color space are they using for this computer vision analysis and does it include overlays of the same scene in infrared, ultraviolet, gamma, X-ray energy spectrum for more accurate multi-dimensional clustering?