A Framework for Planet Detection with Faint Light-curve Echoes

TL;DR

This paper introduces a novel autocorrelation-based method to detect faint planetary echoes in stellar flare light curves, enabling the discovery and characterization of close-in giant exoplanets around active stars.

Contribution

It presents a new technique that compensates for planetary motion to extract faint echoes, improving detection sensitivity for planets near flare stars.

Findings

Feasible detection of close-in giant planets with current technology.

Method can tightly constrain planetary orbital elements.

Sensitive to planets within 0.1 au of active flare stars.

Abstract

A stellar flare can brighten a planet in orbit around its host star, producing a light curve with a faint echo. This echo, and others from subsequent flares, can lead to the planet's discovery, revealing its orbital configuration and physical characteristics. A challenge is that an echo is faint relative to the flare and measurement noise. Here, we use a method, based on autocorrelation function estimation, to extract faint planetary echoes from stellar flare light curves. A key component of our approach is that we compensate for planetary motion, measures of echo strength are then co-added into a strong signal. Using simple flare models in simulations, we explore the feasibility of this method with current technology for detecting planets around nearby M dwarfs. We also illustrate how our method can tightly constrain a planet's orbital elements and the mass of its host star. This technique is most sensitive to giant planets within 0.1 au of active flare stars and offers new opportunities for planet discovery in orientations and configurations that are inaccessible with other planet search methods.