A Statistical Analysis of SEEDS and Other High-Contrast Exoplanet Surveys: Massive Planets or Low-Mass Brown Dwarfs?
Timothy D. Brandt, Michael W. McElwain, Edwin L. Turner, Kyle Mede,, David S. Spiegel, Masayuki Kuzuhara, Joshua E. Schlieder, John P. Wisniewski,, L. Abe, B. Biller, W. Brandner, J. Carson, T. Currie, S. Egner, M. Feldt, T., Golota, M. Goto, C. A. Grady, O. Guyon, J. Hashimoto

TL;DR
This paper performs a comprehensive statistical analysis of high-contrast exoplanet surveys, revealing that many low-mass companions likely formed through fragmentation, and provides new methods for analyzing substellar distributions.
Contribution
It introduces a Bayesian approach for stellar age estimation, a novel analytical likelihood method for substellar distributions, and models the entire substellar population with a single power law.
Findings
Approximately 1-3% of stars host 5-70 M_Jup companions between 10-100 AU.
The substellar mass and semimajor axis distribution follow a power law with indices -0.65 and -0.85.
Most low-mass companions likely formed via fragmentation, not core accretion.
Abstract
We conduct a statistical analysis of a combined sample of direct imaging data, totalling nearly 250 stars. The stars cover a wide range of ages and spectral types, and include five detections ( And b, two 60 M brown dwarf companions in the Pleiades, PZ Tel B, and CD35 2722B). For some analyses we add a currently unpublished set of SEEDS observations, including the detections GJ 504b and GJ 758B. We conduct a uniform, Bayesian analysis of all stellar ages using both membership in a kinematic moving group and activity/rotation age indicators. We then present a new statistical method for computing the likelihood of a substellar distribution function. By performing most of the integrals analytically, we achieve an enormous speedup over brute-force Monte Carlo. We use this method to place upper limits on the maximum semimajor axis of the distribution function…
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