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)