A5065730739- Astronomy and Astrophysical Research
- Stellar, planetary, and galactic studies
- Space Exploration and Technology
- Gamma-ray bursts and supernovae
- Astro and Planetary Science
- Adaptive optics and wavefront sensing
- Medical Image Segmentation Techniques
- Computational Physics and Python Applications
- Advanced Image Processing Techniques
- Molecular Spectroscopy and Structure
- Astrophysics and Star Formation Studies
University of Liège
2020-2022
Universitat Politècnica de Catalunya
2018-2019
European Space Astronomy Centre
2019
We present a catalogue of 73 221 white dwarf candidates extracted from the astrometric and photometric data recently published Gaia-DR2 catalogue. White dwarfs were selected Gaia Hertzsprung–Russell diagram with aid most updated population synthesis simulator. Our analysis shows that has virtually identified all within 100 pc Sun. Hence, our sub-population 8555 this distance limit colour range considered, |$-\, 0.52\lt (G_{\rm BP}-G_{\rm RP})\lt 0.80$|, is largest complete volume-limited...
Direct imaging of exoplanets and circumstellar disks at optical infrared wavelengths requires reaching high contrasts short angular separations.This can only be achieved through the synergy advanced instrumentation, such as adaptive optics coronagraphy, with a relevant combination observing strategy post-processing algorithms to model subtract residual starlight.In this context, VIP is Python package providing tools reduce, post-process analyze high-contrast datasets, enabling detection...
The Ophiuchus cloud complex is one of the best laboratories to study earlier stages stellar and protoplanetary disc evolution. wealth accurate astrometric measurements contained in Gaia Data Release 2 can be used update census member candidates. We seek find potential new members identify those surrounded by a circumstellar disc. constructed control sample composed 188 bona fide members. Using this as reference we applied three different density-based machine learning clustering algorithms...
Gaia-DR2 has provided an unprecedented number of white dwarf candidates our Galaxy. In particular, it is estimated that observed nearly 400 000 these objects and close to 18 up 100 pc from the Sun. This large quantity data requires a thorough analysis in order uncover their main Galactic population properties, particular thin thick disc halo components. Taking advantage recent developments artificial intelligence techniques, we make use detailed Random Forest algorithm analyse 8D space...
The Exoplanet Imaging Data Challenge is a community-wide effort meant to offer platform for fair and common comparison of image processing methods designed exoplanet direct detection. For this purpose, it gathers on dedicated repository (Zenodo), data from several high-contrast ground-based instruments worldwide in which we injected synthetic planetary signals. challenge hosted the CodaLab competition platform, where participants can upload their results. specifications are published our...
Context . Supervised deep learning was recently introduced in high-contrast imaging (HCI) through the SODINN algorithm, a con-volutional neural network designed for exoplanet detection angular differential (ADI) datasets. The benchmarking of HCI algorithms within Exoplanet Imaging Data Challenge (EIDC) showed that (i) can produce high number false positives final maps, and (ii) processing images more local manner perform better. Aims This work aims to improve performance by introducing new...
We analyzed the velocity space of thin and thick-disk Gaia white dwarf population within 100 pc looking for signatures Hercules stellar stream. aimed to identify those objects belonging stream and, by taking advantage stars as reliable cosmochronometers, derive a first age distribution. applied kernel density estimation $UV$ dwarfs. For region where clear overdensity was found, we created 5-D dynamic variables. hierarchichal clustering method, HDBSCAN, this space, identifying dwarfs that...
Today, there exists a wide variety of algorithms dedicated to high-contrast imaging, especially for the detection and characterisation exoplanet signals. These are tailored address very high contrast between signal(s), which can be more than two orders magnitude fainter bright starlight residuals in coronagraphic images. The inhomogeneously distributed follow various timescales that depend on observing conditions target star brightness. Disentangling signals within is therefore challenging,...
We present a catalogue of 73,221 white dwarf candidates extracted from the astrometric and photometric data recently published Gaia DR2 catalogue. White dwarfs were selected Hertzsprung-Russell diagram with aid most updated population synthesis simulator. Our analysis shows that has virtually identified all within 100 pc Sun. Hence, our sub-population 8,555 this distance limit colour range considered, $-\,0.52<(G_{\rm BP}-G_{\rm RP})<0.80$, is largest complete volume-limited sample such...