Browsing by Subject "Galaxies: star clusters: general"

Now showing items 1-2 of 2

    • Deep transfer learning for star cluster classification: I. application to the PHANGS–HST survey 
      Wei, Wei; Huerta, E. A.; Whitmore, Bradley; Lee, Janice; Hannon, Stephen; Chandar, Rupali; Dale, Daniel; Larson, Kirsten; Thilker, David; Ubeda, Leonardo; Boquien, Mederic; Chevance, Melanie; Kruijssen, J. M. Diederik; Schruba, Andreas; Blanc Mendiberri, Guillermo; Congiu, Enrico (Oxford University Press, 2020)
      We present the results of a proof-of-concept experiment that demonstrates that deep learning can successfully be used for production-scale classification of compact star clusters detected in Hubble Space Telescope (HST) ...
    • Unresolved versus resolved: testing the validity of young simple stellar population models with VLT/MUSE ... 
      Kuncarayakti, H.; Galbany, Lluis; Anderson, J. P.; Krühler, T.; Hamuy Wackenhut, Mario (EDP Sciences, 2016)
      Context. Stellar populations are the building blocks of galaxies, including the Milky Way. The majority, if not all, extragalactic studies are entangled with the use of stellar population models given the unresolved nature ...