Simulating the Exoplanet Yield of a Space-based MIR Interferometer Based on Kepler Statistics
J. Kammerer, S. P. Quanz

TL;DR
This study predicts the exoplanet detection capabilities of a space-based mid-infrared interferometer using Monte Carlo simulations based on Kepler data, estimating the number and properties of detectable planets.
Contribution
It introduces a detailed simulation framework for predicting exoplanet yields of a MIR interferometer, incorporating technical assumptions and planet population uncertainties.
Findings
Approximately 315 exoplanets detectable in at least one band.
About 85 potentially habitable planets identified as prime spectroscopic targets.
Discovery phase estimated to last 2-3 years considering various observational factors.
Abstract
Aims: We predict the exoplanet yield of a space-based mid-infrared nulling interferometer using Monte Carlo simulations. We quantify the number and properties of detectable exoplanets and identify those target stars that have the highest or most complete detection rate. We investigate how changes in the underlying technical assumptions and uncertainties in the underlying planet population impact the scientific return. Methods: We simulated exoplanetary systems, based on planet occurrence statistics from Kepler with randomly orientated orbits and uniformly distributed albedos around each of nearby () stars. Assuming thermal equilibrium and blackbody emission, together with the limiting spatial resolution and sensitivity of our simulated instrument in the three specific bands , , and , we quantified the number of detectable…
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