Multi-bandpass Photometry for Exoplanet Atmosphere Reconnaissance (MPEAR) with the Habitable Worlds Observatory (HWO) -- I. Differentiating Earth from Neptunes During Discovery
Eleonora Alei, Avi M. Mandell, Miles H. Currie, Aki Roberge, Christopher C. Stark, Allison Payne, Vincent Kofman, Geronimo L. Villanueva, Renyu Hu, Amber V. Young

TL;DR
This paper presents an algorithm for optimizing multi-bandpass photometry to distinguish Earth-like exoplanets from Neptunes during initial surveys with the Habitable Worlds Observatory, enhancing target characterization efficiency.
Contribution
It introduces a new algorithm to select optimal broadband photometric bands for exoplanet reconnaissance, improving the ability to differentiate planetary types during early observations.
Findings
Higher S/N ratios improve planet differentiation.
Three-band photometry enhances discrimination between Earth and Neptunes.
Optimal band selection reduces observational time and ambiguity.
Abstract
As the architecture for the Habitable Worlds Observatory (HWO) is being developed, it is crucial to optimize the observing strategies for a survey to detect and characterize Earth-like planets around Sun-like stars. Efficient target identification and characterization will help drive mission requirements that can be matched to the planned observations. Current HWO concepts allow simultaneous multi-bandpass observations with the coronagraph instrument, critical for performing a qualitative planetary reconnaissance to optimize observing time for deriving orbital constraints and prioritize characterization of promising targets. We describe a new algorithm designed to determine the best combination of broadband photometric observations for extracting maximum information from the first visit. It identifies degeneracies in the orbital configurations, fluxes, and noise, and determines…
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Taxonomy
TopicsStellar, planetary, and galactic studies · Astro and Planetary Science · Astronomy and Astrophysical Research
