Session
Poster Session 2
Location
Salt Palace Convention Center, Salt Lake City, UT
Abstract
This poster reports a theoretical design of a spectrometer and deformable mirrors on a CubeSat, coding for preprocessing of data, and how an AI model will be used in postprocessing with Jupiter and its moons as a test case.
Searching for and characterizing exoplanets has driven the design and execution of many observational space missions, as demonstrated by several well-known large telescopes. However, some challenges to expanding our knowledge of the universe remain, including competitive observation times and high cost. This leads to the incumbent methods of using archival transit and spectroscopic data.
Smaller satellites have an advantage on these issues, encouraging innovative technologies, such as adaptive optics and low cost due to smaller size with limited specialized capabilities. This provides the advantage of many more satellites available for use, enabling the scanning of larger sections of the sky.
Using AI and interferometry focused on wavelengths outside visible light, autonomous direct imaging of an exoplanet transiting a dimmed parent star is possible. Postprocessing that uses AI provides more data of greater areas of the sky from longer observations of selected stars in new wavelengths. Many characteristics of an exoplanet can be determined from this data, such as classification of rocky or gaseous, approximate radius, an approximate ratio of planet mass to star mass, possible atmospheric elements, and characteristics of its orbit around the star. A test case using data from Jupiter and its moons will be used to verify and calibrate the method.
Document Type
Event
Included in
Using AI and Photometry to Locate and Characterize Exoplanets for Small Satellites
Salt Palace Convention Center, Salt Lake City, UT
This poster reports a theoretical design of a spectrometer and deformable mirrors on a CubeSat, coding for preprocessing of data, and how an AI model will be used in postprocessing with Jupiter and its moons as a test case.
Searching for and characterizing exoplanets has driven the design and execution of many observational space missions, as demonstrated by several well-known large telescopes. However, some challenges to expanding our knowledge of the universe remain, including competitive observation times and high cost. This leads to the incumbent methods of using archival transit and spectroscopic data.
Smaller satellites have an advantage on these issues, encouraging innovative technologies, such as adaptive optics and low cost due to smaller size with limited specialized capabilities. This provides the advantage of many more satellites available for use, enabling the scanning of larger sections of the sky.
Using AI and interferometry focused on wavelengths outside visible light, autonomous direct imaging of an exoplanet transiting a dimmed parent star is possible. Postprocessing that uses AI provides more data of greater areas of the sky from longer observations of selected stars in new wavelengths. Many characteristics of an exoplanet can be determined from this data, such as classification of rocky or gaseous, approximate radius, an approximate ratio of planet mass to star mass, possible atmospheric elements, and characteristics of its orbit around the star. A test case using data from Jupiter and its moons will be used to verify and calibrate the method.
