Habitable Planets Eclipsing Brown Dwarfs: Strategies for Detection and Characterization
Adrian R. Belu, Franck Selsis, Sean N. Raymond, Enric Pall\'e, Rachel, Street, D. K. Sahu, Kaspar Von Braun, Emeline Bolmont, Pedro Figueira, G. C., Anupama, Ignasi Ribas

TL;DR
This paper develops detection strategies for habitable planets transiting brown dwarfs, emphasizing observational approaches based on brown dwarf luminosity and orbital periods, and evaluates the potential for biosignature characterization.
Contribution
It introduces optimized search strategies for habitable planets around brown dwarfs and assesses their detection probabilities and characterization feasibility.
Findings
Detection probability ranges from 4.5% to 56%.
Single-night screening can be effective for short orbital periods.
Biosignature characterization is feasible with a 6.5 m space telescope within a small fraction of mission time.
Abstract
Given the very close proximity of their habitable zones, brown dwarfs represent high-value targets in the search for nearby transiting habitable planets that may be suitable for follow-up occultation spectroscopy. In this paper we develop search strategies to find habitable planets transiting brown dwarfs depending on their maximum habitable orbital period (PHZ out). Habitable planets with PHZ out shorter than the useful duration of a night (e.g. 8-10 hrs) can be screened with 100 percent completeness from a single location and in a single night (near-IR). More luminous brown dwarfs require continuous monitoring for longer duration, e.g. from space or from a longitude-distributed network (one test scheduling achieved - 3 telescopes, 13.5 contiguous hours). Using a simulated survey of the 21 closest known brown dwarfs (within 7 pc) we find that the probability of detecting at least one…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
