# Data-driven stellar parameters for southern TESS FGK targets

## TL;DR

This paper provides a large, data-driven catalog of stellar parameters for southern FGK stars targeted by TESS, enabling better exoplanet candidate screening and statistical analysis.

## Contribution

It introduces a novel data-driven method to estimate stellar parameters for a large sample of TESS targets using stellar colors and evolution models.

## Key findings

- Effective temperature estimates align with spectroscopic data.
- Gaia parallaxes help identify subgiant interlopers.
- Stellar radii are estimated with a typical uncertainty of 9.3%.

## Abstract

We present stellar parameter estimates for 939,457 southern FGK stars that are candidate targets for the TESS mission. Using a data-driven method similar to the CANNON, we build a model of stellar colours as a function of stellar parameters. We then use these in combination with stellar evolution models to estimate the effective temperature, gravity, metallicity, mass, radius and extinction for our selected targets. Our effective temperature estimates compare well with those from spectroscopic surveys and the addition of Gaia DR2 parallaxes allows us to identify subgiant interlopers into the TESS sample. We are able to estimate the radii of TESS targets with a typical uncertainty of 9.3\%. This catalogue can be used to screen exoplanet candidates from TESS and provides a homogeneous set of stellar parameters for statistical studies.