A Smooth Transition from Giant Planets to Brown Dwarfs from the Radial Occurrence Distribution
Judah Van Zandt, Greg Gilbert, Steven Giacalone, Erik Petigura, Andrew Howard, Luke Handley

TL;DR
This study combines radial velocity and astrometry data to analyze the true mass distribution of giant planets and brown dwarfs, revealing a smooth transition in their occurrence rates and challenging the idea of a sharp formation boundary.
Contribution
It introduces a method to accurately determine true companion masses and maps their occurrence distribution, showing a continuous transition from giant planets to brown dwarfs.
Findings
Brown dwarfs have a lower occurrence rate than Jupiter analogs.
The brown dwarf desert extends to 10 AU.
The distribution suggests overlapping formation mechanisms.
Abstract
Measuring the occurrence rates of celestial objects is a valuable way to study their origins and evolution. Giant planets and brown dwarfs produce large Doppler signatures that are easily detectable by modern instrumentation, and legacy radial velocity (RV) surveys have now achieved full orbital coverage for periods 30 years. However, the Doppler method's sensitivity to companion minimum mass -- as opposed to true mass -- prevents unambiguous characterization using RVs alone, as purported giant planets may be brown dwarfs or stars on inclined orbits. Here we combined legacy RVs with absolute astrometry to re-fit the orbits of 195 companions from the California Legacy Survey. Nearly 50% (8/18) of the ``brown dwarfs" (=13--80 ) we refit had true masses above 80 . We incorporated our orbital posteriors and target sensitivity maps…
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.
Taxonomy
TopicsStellar, planetary, and galactic studies · Astronomy and Astrophysical Research · Scientific Research and Discoveries
