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Onderzoeker
Jeroen Audenaert
- Disciplines:Datamining, Machine learning en besluitvorming, Stellaire astrofysica, Time domain astrofysica
Affiliaties
- Sterrenkunde (Afdeling)
Lid
Vanaf9 sep 2019 → Heden
Projecten
1 - 1 of 1
- Artificiële intelligentie in astronomie Variabele sterren ontrafelen met machine learning en de NASA Kepler en TESS ruimtemissiesVanaf27 aug 2019 → 27 jun 2023Financiering: Eigen Middelen zoals patrimonium, inschrijvingsgelden, giften, ....
Publicaties
1 - 6 van 6
- Artificial intelligence in astronomy Unraveling variable stars with machine learning and the NASA Kepler and TESS space missions(2023)
Auteurs: Jeroen Audenaert, Conny Aerts, Andrew Tkachenko
- Multiscale entropy analysis of astronomical time series Discovering subclusters of hybrid pulsators(2022)
Auteurs: Jeroen Audenaert, Andrew Tkachenko
- Zeta-Payne: A Fully Automated Spectrum Analysis Algorithm for the Milky Way Mapper Program of the SDSS-V Survey(2022)
Auteurs: Ilya Straumit, Andrew Tkachenko, Sarah Gebruers, Jeroen Audenaert, Conny Aerts
- Dynamical parallax, physical parameters, and evolutionary status of the components of the bright eclipsing binary α Draconis(2022)
Auteurs: Andrew Tkachenko, Jeroen Audenaert, Robin Baeyens, Dominic Bowman, Sarah Gebruers, Nicholas Jannsen, Joey Mombarg
- TESS Data for Asteroseismology (T'DA) Stellar Variability Classification Pipeline: Setup and Application to the Kepler Q9 Data(2021)
Auteurs: Jeroen Audenaert, Andrew Tkachenko, Dominic Bowman, Cole Campbell Johnston, Conny Aerts
- Uncovering the ultimate planet impostor An eclipsing brown dwarf in a hierarchical triple with two evolved stars(2021)
Auteurs: Jeroen Audenaert