K-Stacker: Keplerian image recombination for the direct detection of exoplanets
M. Nowak, H. Le Coroller, L. Arnold, K. Dohlen, D. Estevez, T. Fusco,, J.-F. Sauvage, A. Vigan

TL;DR
K-Stacker is a novel algorithm that combines multiple high-contrast images taken over time, accounting for planetary motion, to detect and locate faint exoplanets below the usual detection threshold.
Contribution
It introduces a new method that optimally recombines images over different nights by estimating orbital parameters, enhancing exoplanet detection capabilities.
Findings
Achieves 50% recovery rate at S/N=5
Detects planets below the individual image detection limit
Determines planet position with one-pixel accuracy
Abstract
We present a proof of concept for a new algorithm which can be used to detect exoplanets in high contrast images. The algorithm properly combines mutliple observations acquired during different nights, taking into account the orbital motion of the planet. Methods. We simulate SPHERE/IRDIS time series of observations in which we blindly inject planets on random orbits, at random level of S/N, below the detection limit (down to S/N 1.5). We then use an optimization algorithm to guess the orbital parameters, and take into account the orbital motion to properly recombine the different images, and eventually detect the planets. We show that an optimization algorithm can indeed be used to find undetected planets in temporal sequences of images, even if they are spread over orbital time scales. As expected, the typical gain in S/N ratio is sqrt(n), n being the number of observations combined.…
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