A review of simulation and performance modeling for the Roman coronagraph instrument
Ewan S. Douglas, Jaren N. Ashcraft, Ruslan Belikov, John Debes, Jeremy, Kasdin, John Krist, Brianna I. Lacy, Bijan Nemati, Kian Milani, Leonid, Pogorelyuk, A.J. Eldorado Riggs, Dmitry Savransky, and Dan Sirbu

TL;DR
This paper reviews simulation and performance modeling tools for the Nancy Grace Roman Space Telescope's Coronagraph Instrument, highlighting publicly available datasets and software to support exoplanet characterization and future mission planning.
Contribution
It provides a comprehensive summary of existing simulation tools and datasets for the CGI, aiding researchers in understanding and utilizing these resources.
Findings
Compilation of publicly available simulation datasets and software tools.
Overview of models for speckle, PSF, and signal-to-noise calculations.
Facilitation of engagement with CGI's technical and scientific capabilities.
Abstract
The Nancy Grace Roman Space Telescope Coronagraph Instrument (CGI) will be capable of characterizing exoplanets in reflected light and will demonstrate space technologies essential for future missions to take spectra of Earthlike exoplanets. As the mission and instrument move into the final stages of design, simulation tools spanning from depth of search calculators to detailed diffraction models have been created by a variety of teams. We summarize these efforts, with a particular focus on publicly available datasets and software tools. These include speckle and point-spread-function models, signal-to-noise calculators, and science product simulations (e.g. predicted observations of debris disks and exoplanet spectra). This review is intended to serve as a reference to facilitate engagement with the technical and science capabilities of the CGI instrument.
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