Detecting false positives with PLATO using double-aperture photometry and centroid shifts
PLATO will discover exoplanets around Sun-like stars through transit photometry and characterize their host stars using asteroseismology. Since photometry for most PLATO targets will be extracted on board, an efficient strategy to detect false positives (FPs), defined as transit-like signals not caused by planets, is required. Centroid shifts are a standard FP diagnostic, but only 5% to 20% of PLATO's largest stellar sample (P5) will have centroids computed on board, motivating the need for an alternative strategy. We propose a double-aperture photometry approach to detect FPs, testing two mask types: extended masks, which enlarge the nominal aperture, and secondary masks, centered on the main contaminant. For each mask type, we derive flux and centroid-shift metrics and evaluate their ability to discriminate FPs. Using Gaia DR3, we define P5 targets and their background stars, which are assumed to be eclipsing binaries with transit depths and durations drawn from observed distributions. From simulated photometry and centroid shifts, we compute extended and secondary fluxes as well as extended, secondary, and nominal centroids, and compare their FP detection efficiency. Under these assumptions, approximately 35% of P5 targets have a single FP-producing contaminant and about 22% have two or more. Secondary flux achieves the highest detection efficiency (92%), followed by extended centroid shifts (87%) and nominal centroids (84%). Owing to its lower computational and telemetry cost, double-aperture photometry provides an efficient solution for rejecting a large fraction of FP signals caused by eclipsing binaries.