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Published January 8, 2024 | Version 0.1

Output Dataset from "Stellar Atmospheric Parameters From Gaia BP/RP Spectra using Uncertain Neural Networks"

  • 1. ROR icon University College London

Description

Output dataset of stellar parameters and associated uncertainties derived by the machine learning approach, as decribed in "Stellar Atmospheric Parameters From Gaia BP/RP Spectra using Uncertain Neural Networks", Fallows & Sanders (in prep). 

Included parameters: [Fe/H] (fe_h), effective temperature (teff), surface gravity (logg), [C/Fe] (c_fe), [N/Fe] (n_fe), and [a/M] (a_m). Gaia DR3 source ids are included for matching purposes, alongside Gaia bp_rp_excess_factor and ruwe metrics for quality filtering.

Note: the creation of this dataset is ongoing, and is currently incomplete. Parameters are available for Gaia DR3 objects between 0 deg ≤ RA ≤ 165.75 deg. The full dataset will be available soon.

Files

output_0.0_165.75.txt

Files (1.8 GB)

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