Browsing Faculty of Natural Sciences by Author "Villaescusa-Navarro, Francisco"

Now showing items 1-6 of 6

    • Breaking baryon-cosmology degeneracy with the electron density power spectrum 

      Nicola, Andrina; Villaescusa-Navarro, Francisco; Davé, Romeel (IOP Publishing, 2022)
      Uncertain feedback processes in galaxies affect the distribution of matter, currently limiting the power of weak lensing surveys. If we can identify cosmological statistics that are robust against these uncertainties, or ...

    • Cosmology with a SKA HI intensity mapping survey 

      Santos, Mario G.; Bull, Philip; Alonso, David; Camera, Stefano; Ferreira, Pedro G.; Bernardi, Gianni; Maartens, Roy; Viel, Matteo; Villaescusa-Navarro, Francisco; Abdalla, Filipe B.; Jarvis, Matt; Metcalf, R. Benton; Pourtsidou, A.; Wolz, Laura (Proceedings of Science, 2014)
      HI intensity mapping (IM) is a novel technique capable of mapping the large-scale structure of the Universe in three dimensions and delivering exquisite constraints on cosmology, by using HI as a biased tracer of the ...

    • Hiflow: Generating diverse hi maps and inferring cosmology while marginalizing over astrophysics using normalizing flows 

      Hassan, Sultan; Villaescusa-Navarro, Francisco; Wandelt, Benjamin (IOP Publishing, 2022)
      A wealth of cosmological and astrophysical information is expected from many ongoing and upcoming large-scale surveys. It is crucial to prepare for these surveys now and develop tools that can efficiently extract ...

    • Inferring halo masses with graph neural networks 

      Villanueva-Domingo, Pablo; Villaescusa-Navarro, Francisco; Dave, Romeel (Institute of Physics, 2022)
      Understanding the halo–galaxy connection is fundamental in order to improve our knowledge on the nature and properties of dark matter. In this work, we build a model that infers the mass of a halo given the positions, ...

    • Quijote-png: Simulations of primordial non-gaussianity and the information content of the matter field power spectrum and bispectrum 

      Coulton, William R; Villaescusa-Navarro, Francisco; Karagiannis, Dionysios (IOP Publishing, 2023)
      Primordial non-Gaussianity (PNG) is one of the most powerful probes of the early universe, and measurements of the large-scale structure of the universe have the potential to transform our understanding of this area. ...

    • Quijote-png: The information content of the halo power spectrum and bispectrum 

      Coulton, William R; Villaescusa-Navarro, Francisco; Karagiannis, Dionysios (IOP Publishing, 2023)
      We investigate how much can be learnt about four types of primordial non-Gaussianity (PNG) from small-scale measurements of the halo field. Using the QUIJOTE-PNG simulations, we quantify the information content accessible ...