A Simple Depth of Search Metric for Exoplanet Imaging Surveys

Daniel Garrett, Dmitry Savransky, Bruce Macintosh
(Submitted on 19 Jun 2017)

We present a procedure for calculating expected exoplanet imaging yields, which explicitly separates the effects of instrument performance from assumptions of planet distributions. This `depth of search’ approach allows for fast recalculation of yield values for variations in instrument parameters. We also describe a new target star selection metric with no dependence on an assumed planet population that can be used as a proxy for single-visit completeness. This approach allows for the recovery of the total mission completeness via convolution of the depth of search grid with an equivalent grid of assumed occurrence rates and integration over the part of the grid representing the population of interest (e.g., Earth-like planets on habitable zone orbits, etc.). In this work, we discuss the practical details of calculating the depth of search and present results of such calculations for one design iteration of the WFIRST coronagraphs.

Comments:    Accepted for publication in AJ
Subjects:    Instrumentation and Methods for Astrophysics (astro-ph.IM)
Cite as:    arXiv:1706.06132 [astro-ph.IM] (or arXiv:1706.06132v1 [astro-ph.IM] for this version)
Submission history
From: Daniel Garrett
[v1] Mon, 19 Jun 2017 18:39:12 GMT (2894kb)
https://arxiv.org/abs/1706.06132