Very Low Mass Stellar and Substellar Companions to Solar-like Stars From MARVELS IV: A Candidate Brown Dwarf or Low-Mass Stellar Companion to HIP 67526
Peng Jiang, Jian Ge, Phillip Cargile, Justin R. Crepp, Nathan De Lee,, Gustavo F. Porto de Mello, Massimiliano Esposito, Let\'icia D. Ferreira,, Bruno Femenia, Scott W. Fleming, B. Scott Gaudi, Luan Ghezzi, Jonay I., Gonz\'alez Hern\'andez, Leslie Hebb, Brian L. Lee, Bo Ma

TL;DR
This paper reports the discovery and characterization of a candidate brown dwarf or low-mass star companion to HIP 67526, based on radial velocity data, high-resolution spectroscopy, and imaging, contributing to understanding the low-mass companion population.
Contribution
It presents the detection and detailed analysis of a new low-mass companion, including its orbital parameters and host star properties, expanding the known population of such objects.
Findings
Companion has a minimum mass of 65 Jupiter masses.
Orbital period is approximately 90 days with moderate eccentricity.
No stellar tertiary detected within 40 AU.
Abstract
We report the discovery of a candidate brown dwarf or a very low mass stellar companion (MARVELS-5b) to the star HIP 67526 from the Multi-object APO Radial Velocity Exoplanet Large-area Survey (MARVELS). The radial velocity curve for this object contains 31 epochs spread over 2.5 years. Our Keplerian fit using a Markov Chain Monte Carlo approach, reveals that the companion has an orbital period of days, an eccentricity of and a semi-amplitude of m s. Using additional high-resolution spectroscopy, we find the host star has an effective temperature K, a surface gravity [cgs] and a metallicity [Fe/H] . The stellar mass and radius determined through the empirical relationship of Torres et al. (2010), yields 1.100.09 and…
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.
