The SHARDDS survey: limits on planet occurrence rates based on point sources analysis via the Auto-RSM framework
C.-H. Dahlqvist, J. Milli, O. Absil, F. Cantalloube, L. Matra, E., Choquet, C. del Burgo, J. P. Marshall, M. Wyatt, S. Ertel

TL;DR
This study uses the Auto-RSM framework to analyze the SHARDDS survey data, achieving high contrast imaging and setting limits on exoplanet occurrence rates around stars with debris disks, with no new companions detected.
Contribution
Introduces a novel planetary characterization algorithm based on RSM, improving precision and enabling effective analysis of high contrast imaging data for exoplanet detection.
Findings
Median contrast of 10^-5 at 300 mas achieved
No new companions detected besides known ones
High detection rate for substellar companions between 10 and 100 au
Abstract
In the past decade, HCI surveys provided new insights about the frequency and properties of substellar companions at separation larger than 5 au. In this context, our study aims to detect and characterise potential exoplanets and brown dwarfs within debris disks, by considering the SHARDDS survey, which gathers 55 Main Sequence stars with known bright debris disk. We rely on the AutoRSM framework to perform an in-depth analysis of the targets, via the computation of detection maps and contrast curves. A clustering approach is used to divide the set of targets in multiple subsets, in order to reduce the computation time by estimating a single optimal parametrisation for each considered subset. The use of Auto-RSM allows to reach high contrast at short separations, with a median contrast of 10-5 at 300 mas, for a completeness level of 95%. Detection maps generated with different…
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Taxonomy
TopicsPlanetary Science and Exploration · Geophysics and Gravity Measurements · Scientific Research and Discoveries
