A Simple Depth of Search Metric for Exoplanet Imaging Surveys

Abstract

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.

Accepted for publication in AJ

References in corpus (9)

• The Occurrence and Mass Distribution of Close-in Super-Earths, Neptunes, and Jupiters
• A stellar-mass-dependent drop in planet occurrence rates
• Planetary Candidates Observed by Kepler VI: Planet Sample from Q1-Q16 (47 Months)
• Maximizing the ExoEarth Candidate Yield from a Future Direct Imaging Mission
• A Statistical Analysis of SEEDS and Other High-Contrast Exoplanet Surveys: Massive Planets or Low-Mass Brown Dwarfs?
• Constraints on Extrasolar Planet Populations from VLT NACO/SDI and MMT SDI and Direct Adaptive Optics Imaging Surveys: Giant Planets are Rare at Large Separations
• Parameter distributions of Keplerian orbits
• Rounding up the wanderers: optimizing coronagraphic searches for extrasolar planets
• Analytical formulation of the single-visit completeness joint probability density function