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With their high angular resolutions of 30-100 mas, large fields of view, andcomplex optical systems, imagers on next-generation optical/near-infrared spaceobservatories, such as the Near-Infrared Camera (NIRCam) on the James WebbSpace Telescope (JWST), present both new opportunities for science and also newchallenges for empirical point spread function (PSF) characterization. In thiscontext, we introduce ShOpt, a new PSF fitting tool developed in Julia anddesigned to bridge the advanced features of PIFF (PSFs in the Full Field ofView) with the computational efficiency of PSFEx (PSF Extractor). Along withShOpt, we propose a suite of non-parametric statistics suitable for evaluatingPSF fit quality in space-based imaging. Our study benchmarks ShOpt against theestablished PSF fitters PSFEx and PIFF using real and simulated COSMOS-WebSurvey imaging. We assess their respective PSF model fidelity with our proposeddiagnostic statistics and investigate their computational efficiencies,focusing on their processing speed relative to the complexity and size of thePSF models. Despite being in active development, we find that ShOpt can alreadyachieve PSF model fidelity comparable to PSFEx and PIFF while maintainingcompetitive processing speeds, constructing PSF models for large NIRCam mosaicswithin minutes.

Efficient PSF Modeling with ShOpt.jl: A PSF Benchmarking Study with JWST NIRCam Imaging