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The Nancy Grace Roman Space Telescope will survey a large area of the sky atnear-infrared wavelengths with its Wide Field Instrument (WFI). The performanceof the 18 WFI H4RG-10 detectors will need to be well-characterized andregularly monitored in order for Roman to meet its science objectives. Weaklensing science goals are particularly sensitive to instrumental distortionsand patterns that might masquerade as astronomical signals. We apply thewavelet scattering transform in order to analyze localized signals in Roman WFIimages that have been taken as part of a dark image test suite. The scatteringtransform quantifies shapes and clustering information by reducing images intonon-linear combinations of wavelet modes on multiple size scales. We show thatthese interpretable scattering statistics can separate rare correlated patternsfrom typical noise signals, and we discuss the results in context of powerspectrum analyses and other computer vision methods.

Quantifying Roman WFI Dark Images with the Wavelet Scattering Transform