BANYAN_Sigma: Bayesian classifier for members of young stellar associations

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Ada Coda
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BANYAN_Sigma: Bayesian classifier for members of young stellar associations

Post by Ada Coda » Thu Feb 01, 2018 12:59 am

BANYAN_Sigma: Bayesian classifier for members of young stellar associations

Abstract: BANYAN_Sigma calculates the membership probability that a given astrophysical object belongs to one of the currently known 27 young associations within 150 pc of the Sun, using Bayesian inference. This tool uses the sky position and proper motion measurements of an object, with optional radial velocity (RV) and distance (D) measurements, to derive a Bayesian membership probability. By default, the priors are adjusted such that a probability threshold of 90% will recover 50%, 68%, 82% or 90% of true association members depending on what observables are input (only sky position and proper motion, with RV, with D, with both RV and D, respectively). The algorithm is implemented in a Python package, in IDL, and is also implemented as an interactive web page.

Credit: Gagné, Jonathan; Mamajek, Eric E.; Malo, Lison; Riedel, Adric; Rodriguez, David; Lafrenière, David; Faherty, Jacqueline K.; Roy-Loubier, Olivier; Pueyo, Laurent; Robin, Annie C.; Doyon, René

Site: https://github.com/jgagneastro/banyan_sigma_idl
http://adsabs.harvard.edu/abs/2018arXiv180109051G

Bibcode: 2018ascl.soft01001G

Preferred citation method: http://adsabs.harvard.edu/abs/2018arXiv180109051G

ID: ascl:1801.001

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