Browsing by Author "b25b1610-2a26-4be4-9c1a-df271e0257b0"

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    • Euclid: Forecast constraints on the cosmic distance duality relation with complementary external probes 
      Martinelli, M.; Martins, C. J. A. P.; Nesseris, S.; Sapone, Domenico; Tutusaus, I.; Avgoustidis, A.; Camera, S.; Carbone, C.; Casas, S.; Ilic, S.; Sakr, Z.; Yankelevich, V.; Auricchio, N.; Balestra, A.; Bodendorf, C.; Bonino, D.; Branchini, E.; Brescia, M.; Brinchmann, J.; Capobianco, V.; Carretero, J.; Castellano, M.; Cavuoti, S.; Cledassou, R.; Congedo, G.; Conversi, L.; Corcione, L.; Dubath, F.; Ealet, A.; Frailis, M.; Franceschi, E.; Fumana, M.; Garilli, B.; Gillis, B.; Giocoli, C.; Grupp, F.; Haugan, S. V. H.; Holmes, W.; Hormuth, F.; Jahnke, K.; Kermiche, S.; Kilbinger, M.; Kitching, T.; Kubik, B.; Kunz, M.; Kurki-Suonio, H.; Ligori, S.; Lilje, P. B.; Lloro, I.; Marggraf, O.; Markovic, K.; Massey, R.; Mei, S.; Meneghetti, M.; Meylan, G.; Moscardini, L.; Niemi, S.; Padilla, C.; Paltani, S.; Pasian, F.; Pettorino, V.; Pires, S.; Polenta, G.; Poncet, M.; Popa, L.; Pozzetti, L.; Raison, F.; Rhodes, J.; Roncarelli, M.; Saglia, R.; Schneider, P.; Secroun, A.; Serrano, S.; Sirignano, C.; Sirri, G.; Sureau, F.; Taylor, A.; Tereno, I.; Toledo Moreo, R.; Valenziano, L.; Vassallo, T.; Wang, Y.; Welikala, N.; Weller, J.; Zacchei, A. (EDP Sciences S A, 2020)
      Context. In metric theories of gravity with photon number conservation, the luminosity and angular diameter distances are related via the Etherington relation, also known as the distance duality relation (DDR). A violation ...
    • Evaporating primordial black holes as varying dark energy 
      Nesseris, Savvas; Sapone, Domenico; Sypsas, Spyros (Elsevier, 2020)
      If light enough primordial black holes (PBH) account for dark matter, then its density decreases with time as they lose mass via Hawking radiation. We show that this time-dependence of the matter density can be formulated ...
    • Internal robustness of growth rate data 
      Sagredo, Bryan; Nesseris, Savvas; Sapone, Domenico (American Physical Society, 2018)
      We perform an internal robustness analysis (iR) to a compilation of the most recent fσ8ðzÞ data, using the framework of Ref. [1]. The method analyzes combinations of subsets in the data set in a Bayesian model comparison ...