Astrophysical: Methods

  • Publication
    Enhancing SDO/HMI images using deep learning
    Context. The Helioseismic and Magnetic Imager (HMI) provides continuum images and magnetograms with a cadence better than one per minute. It has been...
  • Publication
    Enhancing SDO/HMI images using deep learning
    Context. The Helioseismic and Magnetic Imager (HMI) provides continuum images and magnetograms with a cadence better than one per minute. It has been...
  • Publication
    ERGO-ML I: inferring the assembly histories of IllustrisTNG galaxies from integral observable properties via invertible neural networks
    A fundamental prediction of the ΛCDM cosmology is the hierarchical build-up of structure and therefore the successive merging of galaxies into more massive ones...
  • Publication
    ERGO-ML: comparing IllustrisTNG and HSC galaxy images via contrastive learning
    Modern cosmological hydrodynamical galaxy simulations provide tens of thousands of reasonably realistic synthetic galaxies across cosmic time. However...
  • Publication
    ERGO-ML: towards a robust machine learning model for inferring the fraction of accreted stars in galaxies from integral-field spectroscopic maps
    Quantifying the contribution of mergers to the stellar mass of galaxies is key for constraining the mechanisms of galaxy assembly across cosmic time. However...
  • Publication
    Erratum: A modified χ2-test for cosmic microwave background analyses
    Not Available
  • Publication
    Erratum: A physically motivated definition for the size of galaxies in an era of ultra-deep imaging
  • Publication
    Erratum: Dark matter halo concentrations in the Wilkinson Microwave Anisotropy Probe year 5 cosmology
    Not Available
  • Publication
    Erratum: Ubiquitous seeding of supermassive black holes by direct collapse
    Not Available