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Gábor Marton
Field of research
- Classification of celestial objects based on panchromatic photometry of space telescopes using machine learning methods (AKARI, WISE, Herschel, Gaia)
- Analysis of astronomical light curves based on data of Gaia and TESS space telescopes and archival data (Herschel, ZTF, ASAS-SN, ATLASVAR)
- Large scale distribution of pre- and protostellar objects
- Small bodies of the Solar System
Past and current research collaborations
- Herschel Point Source Catalogues, NASA/IRSA, California Institute of Technology, Pasadena, CA, USA; ESA, European Space Astronomy Centre, Villanueva de la Canada, Spain (2014-2017)
- Planck-Herschel “Galactic Cold Cores Key Project” – IRAP, Toulouse, France; University of Helsinki, Helsinki, Finland; California Institute of Technology, Pasadena, USA (2010-)
- Herschel OTKP: TNOs are Cool: A Survey of the Trans Neptunian Region, Max-Planck-Institut für extraterrestrische Physik (MPE), Garching, Germany (2011-)
- Small Bodies Near And Far – Horizon 2020 Space Competitiveness Project – MPE, Garching, Germany; CSIC, Granada, Spain;
UAM, Poznan, Poland (2016-2019) - Gaia CU5 – Photometric Science Alerts – Institute of Astronomy, University of Cambridge, Cambridge, UK (2017-)
- Gaia CU7 – Variability Processing – University of Geneva, Geneva, Switzerland (2020-) – lead of YSO classification package
- Novel Evolutionary Model for the Early stages of Stars with Intelligent Systems – Horizon 2020 Space Competitiveness Project – University of Wien, Vienna, Austria; University of Geneva, Geneva, Switzerland (2021-) – local lead
Successful grant proposals
- PD128360 Postdoctoral excellence program – Planet formation caught-in-the-act (2018-2020) – excellent
- ESA Prodex Experiment Arrangement No. 4000129910 – Improving classification of Young Stellar Transients with Gaia Alerts
(2020-2023) – project leader - Horizon 2020 Space Competitiveness Project – Novel Evolutionary Model for the Early stages of Stars with Intelligent Systems
(2021-2025) – co-I, local lead - Horizon 2020 Opticon RadioNet Pilot – Automatic eyeballing of Gaia Alerts with machine learning algorithms (2021-2025)
- Bolyai János Research Grant (2022-2025)