# Multicolour photometry for exoplanet candidate validation

## TL;DR

This paper demonstrates that multicolour transit photometry, combined with a contamination model, can effectively validate exoplanet candidates by accurately estimating the true radius ratio and contamination levels, reducing reliance on resource-intensive follow-up methods.

## Contribution

It introduces a physics-based contamination model integrated into transit analysis, enabling validation of exoplanet candidates using multicolour photometry alone.

## Key findings

- Multicolour photometry can estimate flux contamination accurately.
- The true radius ratio can be reliably determined from multicolour data.
- This method can validate candidates with radii below brown dwarf limits.

## Abstract

Context. The TESS and PLATO missions are expected to find vast numbers of new transiting planet candidates. However, only a fraction of these candidates will be legitimate planets, and the candidate validation will require a significant amount of follow-up resources. Radial velocity follow-up can be carried out only for the most promising candidates around bright, slowly rotating, stars. Thus, before devoting RV resources to candidates, they need to be vetted using cheaper methods, and, in the cases for which an RV confirmation is not feasible, the candidate's true nature needs to be determined based on these alternative methods alone. Aims. We study the applicability of multicolour transit photometry in the validation of transiting planet candidates when the candidate signal arises from a real astrophysical source. We seek to answer how securely can we estimate the true uncontaminated star-planet radius ratio when the light curve may contain contamination from unresolved light sources inside the photometry aperture when combining multicolour transit observations with a physics-based contamination model. Methods. The study is based on simulations and ground-based transit observations. The analyses are carried out with a contamination model integrated into the PyTransit v2 transit modelling package, and the observations are carried out with the MuSCAT2 multicolour imager installed in the 1.5 m TCS in the Teide Observatory. Results. We show that multicolour transit photometry can be used to estimate the amount of flux contamination and the true radius ratio. Combining the true radius ratio with an estimate for the stellar radius yields the true absolute radius of the transiting object, which is a valuable quantity in statistical candidate validation, and enough in itself to validate a candidate whose radius falls below the theoretical lower limit for a brown dwarf.