Exposed carbon oxides on Uranus's large moons are potentially native, with trailing-hemisphere concentrations and crystalline spectral signatures shaped by irradiation and seasonal sublimation-condensation cycles.
NSClean: An Algorithm for Removing Correlated Noise from JWST NIRSpec Images
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abstract
NSClean is an algorithm and associated python package for removing faint vertical banding and ``picture frame noise'' from JWST Near Infrared Spectrograph (NIRSpec) images. NSClean uses known dark areas to fit a background model to each exposure in Fourier space. When the model is subtracted, it removes nearly all correlated noise. Compared to simpler strategies like subtracting the rolling median, NSClean is more thorough and uniform. NSClean is computationally undemanding, requiring only a few seconds to clean an image on a typical laptop. The NSClean package is freely available from the NASA JWST website (https://webb.nasa.gov/content/forScientists/publications.html).
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Tracing the source of carbon oxides on the large moons of Uranus
Exposed carbon oxides on Uranus's large moons are potentially native, with trailing-hemisphere concentrations and crystalline spectral signatures shaped by irradiation and seasonal sublimation-condensation cycles.