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New Software Reveals Hidden Exoplanets in Webb Telescope Data
Confirmed
In Short: Researchers have developed a new software tool called Physics-Based Learning for Imaging Planets (FLIP) that significantly improves the James Webb Space Telescope's (JWST) ability to detect faint exoplanets.
FLIP incorporates a detailed physical understanding of how the JWST and its mirrors work, simulating how the telescope would capture starlight and account for its instabilities.
In a recent study published in Nature, astronomers demonstrated FLIP's effectiveness by revealing the exoplanet 51 Eridani b in JWST data, a world previously hidden in the glare.
The software addresses the issue of tiny mismatches in the telescope's movements, which can leave smudges of starlight that obscure faint planets.
FLIP optimizes a physical model of the telescope's hardware, using gradient descent to refine its performance on actual star data.
The software's ability to clean up starlight glare allows the telescope to wobble slightly more without losing image quality.
The software also provides insights into the telescope's hardware by highlighting areas where it makes the most dramatic changes.
FLIP's success could potentially reduce the difficulty of building future observatories, as it demonstrates the potential of advanced software to enhance existing hardware.
FLIP's development highlights the intersection of astronomy and software engineering, showcasing how advanced algorithms can unlock new discoveries.
FLIP's success could pave the way for more detailed studies of exoplanets, including inferring conditions on their surfaces and atmospheres.
What this adds
FLIP's development underscores the importance of software in enhancing the capabilities of existing telescopes.
The software's sensitivity gain is particularly significant for detecting smaller planets closer to their stars.
FLIP's ability to model and subtract starlight and instrument-related effects provides a clearer view of exoplanets.
The software's optimization process uses a physical model of the Near-Infrared Camera (NIRCam) on the JWST.
Background
The James Webb Space Telescope (JWST) is a space telescope designed to conduct infrared astronomy. It is the largest telescope in space, and is equipped with high-resolution and high-sensitivity instruments, allowing it to view objects too old, distant, or faint for the Hubble Space Telescope.
What's confirmed
- So a team of researchers has developed a process they’re calling FLIP (a non-acronym for Physics-based Learning for Imaging Planets) that uses a physical model of the hardware (in this case, the NIRCam on the James Webb Space Telescope) with 10 6 possible parameters, and then uses software to optimize all its parameters.
What's still developing
- NASA’s James Webb Space Telescope is wobbly—scientists have a fix that could reveal new alien worlds By modeling the James Webb Space Telescope’s tiny movements, a new technique can reveal up to 15 times fainter alien worlds By Jacek Krywko edited by Sarah Lewin Frasier New software called FLIP revealed the exoplanet 51 Eridani b in data from the James Webb Space Telescope (JWST).
- In one of those systems, the software also captured the giant planet 51 Eridani b, a world that was not previously visible at the wavelengths that JWST can detect.
- In a new Nature study, astronomers built clever software for the James Webb Space Telescope that makes this task less challenging, giving the observatory a better chance of spotting planets closer to their stars.
- But this template is a snapshot taken by the telescope at a different moment—and a telescope is never in the same state twice.
- Here you can see JWST’s previous view, with its usual processing, the data processed with FLIP and a simulated view of where the planet should be.
- The software has already revealed a new view of a known giant planet hidden in JWST data.
- While telescopes can be fitted with devices called coronagraphs that block out much of a star’s light, there are limits to their effectiveness, caused by noise from subtle variations in the telescope’s configuration and pointing between observations.
- Instead, it will be slightly blurry and spread out, due to imperfections in the telescope hardware and the limits of our ability to keep it pointed accurately through the time it takes to image something.
- The optimization starts with a simulated point spread function, then uses gradient descent to optimize its performance on data from an actual star.
- One is to use the telescope to image a known target and use those observations to derive a mathematical description of the point spread function.
- This is effective at reducing noise but has its limits, as the behavior of the telescope hardware can change over time, and the point spread function may vary with the wavelengths being imaged.
- Now, researchers have developed a new software package that optimizes a physical model of the telescope in a way that allows us to better model these differences, producing low-noise imaging of exoplanets.