A primary goal of direct imaging techniques is to spectrally characterize the atmospheres of planets around other stars at extremely high contrast levels. To achieve this goal, coronagraphic instruments have favored integral field spectrographs (IFS) as the science cameras to disperse the entire search area at once and obtain spectra at each location, since the planet position is not known a priori. These spectrographs are useful against confusion from speckles and background objects, and can also help in the speckle subtraction and wavefront control stages of the coronagraphic observation. We present a software package, the Coronagraph and Rapid Imaging Spectrograph in Python (crispy) to simulate the IFS of the WFIRST Coronagraph Instrument (CGI). The software propagates input science cubes using spatially and spectrally resolved coronagraphic focal plane cubes, transforms them into IFS detector maps and ultimately reconstructs the spatio-spectral input scene as a 3D datacube. Simulated IFS cubes can be used to test data extraction techniques, refine sensitivity analyses and carry out design trade studies of the flight CGI-IFS instrument. crispy is a publicly available Python package and can be adapted to other IFS designs.
@article{arxiv.1709.09248,
title = {Simulating the WFIRST coronagraph Integral Field Spectrograph},
author = {Maxime J. Rizzo and Tyler D. Groff and Neil T. Zimmerman and Qian Gong and Avi M. Mandell and Prabal Saxena and Michael W. McElwain and Aki Roberge and John Krist and AJ Eldorado Riggs and Eric J. Cady and Camilo Mejia Prada and Timothy D. Brandt and Ewan Douglas and Kerri Cahoy},
journal= {arXiv preprint arXiv:1709.09248},
year = {2017}
}