Publicación
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...
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PublicaciónERGO-ML I: inferring the assembly histories of IllustrisTNG galaxies from integral observable properties via invertible neural networksA fundamental prediction of the ΛCDM cosmology is the hierarchical build-up of structure and therefore the successive merging of galaxies into more massive ones...
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PublicaciónERGO-ML: comparing IllustrisTNG and HSC galaxy images via contrastive learningModern cosmological hydrodynamical galaxy simulations provide tens of thousands of reasonably realistic synthetic galaxies across cosmic time. However...
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PublicaciónERGO-ML: towards a robust machine learning model for inferring the fraction of accreted stars in galaxies from integral-field spectroscopic mapsQuantifying the contribution of mergers to the stellar mass of galaxies is key for constraining the mechanisms of galaxy assembly across cosmic time. However...
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PublicaciónErratum: A modified χ2-test for cosmic microwave background analysesNot Available
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PublicaciónErratum: A physically motivated definition for the size of galaxies in an era of ultra-deep imaging
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PublicaciónErratum: Dark matter halo concentrations in the Wilkinson Microwave Anisotropy Probe year 5 cosmologyNot Available
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PublicaciónErratum: Ubiquitous seeding of supermassive black holes by direct collapseNot Available
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PublicaciónEscaping stars from young low-N clustersWith the use of N-body calculations, the numbers and properties of escaping stars from low-N (N= 100 and 1000) young embedded star clusters prior to gas...