Adapting open-source tools for the Roman Coronagraph
Science reports Jason Wang of Northwestern University proposes to join the Roman Coronagraph team to assist in target selection, data simulation and reduction, instrument performance characterization, and science demonstration by adapting current open-source tools.
Wang, a lead developer of the pyKLIP and orbitize! packages, would add functionality so the tools can predict locations of known imaged planets and those found by indirect methods, helping identify which objects will fall in the Coronagraph field of view and which need ground-based follow-up to refine orbits.
For data simulation and reduction, he plans to optimize pyKLIP for Roman Coronagraph data, adapt it for the instrument's spectroscopic mode, and incorporate orbital constraints as priors in the detection framework; pyKLIP was the top performing algorithm in the Roman Exoplanet Imaging Data Challenge.