SPHERE; High Contrast Imaging; Machine Learning; Neural Network; Exoplanet; Very Large Telescope
Abstract :
[en] The Spectro-Polarimetric High-contrast Exoplanet REsearch (SPHERE) instrument is a high-contrast imager designed for detecting exoplanets. It has been operational at the Very Large Telescope since 2014. To make the most of the extensive data generated by SPHERE, improve future observation planning, and advance instrument development, it is crucial to understand how its performance is affected by various environmental factors. The primary goal of this project is to use machine learning and deep learning techniques to predict detection limits, measured by the contrast between exoplanets and their host stars. Two types of models will be developed : random forest models and Multi-Layer Perceptron (MLP) models. The aim is to better understand the relationship between input parameters and detection limits, providing deeper insights into this field. Additionally, a neural network will be used to capture uncertainties in the input features, thus providing confidence intervals for its predictions.
Research Center/Unit :
STAR - Space sciences, Technologies and Astrophysics Research - ULiège
Disciplines :
Space science, astronomy & astrophysics
Author, co-author :
Bissot, Ludo ; Université de Liège - ULiège > Unités de recherche interfacultaires > Space sciences, Technologies and Astrophysics Research (STAR)
Milli, J.; Institute de Planetologie et d'Astrophysique de Grenoble
FP7 - 337569 - VORTEX - Taking extrasolar planet imaging to a new level with vector vortex coronagraphy H2020 - 819155 - EPIC - Earth-like Planet Imaging with Cognitive computing
Funders :
ERC - European Research Council ULiège. ARC - Université de Liège. Actions de Recherche Concertées European Union
Commentary :
Copyright 2024 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. https://www.spiedigitallibrary.org/conference-proceedings-of-spie/13097/3020236/Characterizing-the-performance-of-the-SPHERE-exoplanet-imager-at-the/10.1117/12.3020236.short
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