Published 2024 | Version 3.1
Dataset Open

paired: A Statistical Framework for Determining Stellar Binarity with Gaia RVs. I. Planet Hosting Binaries

  • 1. University of Florida
  • 2. Center for Computaional Astrophysics
  • 3. Monash University

Description

paired Catalog

Description

The paired pipeline and catalog is intended to be an ancillary tool to the Gaia releases of radial velocity data.

This catalog links the reported radial velocity noise for a given star from Gaia to the probability of a spatially unresolved stellar companion.

Further details can be found in the associated paper.

Dataset Structure

  • This table contains roughly 30 million rows of 17 columns.

  • The column headers include:

    •  information intended to assist in crossmatching ('source_id','ra','dec', 'parallax')

    • B-R color and apparent G magnitude ('bp_rp','phot_g_mean_mag'),

    •  Gaia keywords associated with binarity ('rv_renormalised_gof','rv_chisq_pvalue','rv_amplitude_robust')

    • The estimated per-transit measurement uncertainty and associated error ('rv_ln_uncert', 'rv_ln_uncert_err')

    • The p-value for each target with Gaia DR3 RV in the sample under the null hypothesis of a single-star time series ('rv_pval')

    • The 5th, 16th, 50th, 84, and 95th percentile constraints on the RV semiamplitude derived from the RV noise assuming Keplerian motion ('rv_semiamp_p5','rv_semiamp_p16','rv_semiamp_p50','rv_semiamp_p84','rv_semiamp_p95') Note: this column is only calculated for sources with p-value < 0.01

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Additional details

Related works

Is part of
Preprint: 10.48550/arXiv.2206.11275 (DOI)

Dates

Updated
2024-04

Software

Repository URL
https://github.com/one-datum/pipeline
Programming language
Python