منابع مشابه
Week 1: Cosmography
In these lectures we will develop a quantitative model to describe the structure of the observable Universe as a whole. To begin, let us review the relevant physical scales. An Earth mass is 6× 1027 g ≃ 3 × 1051 GeV/c2 ≃ 3× 10−6 M⊙. Its radius is 6.4 × 10 8 cm. It spins around the Sun, which has a mass M⊙ = 2 × 10 33 g ≃ 1057 GeV/c2 and radius R⊙ ≃ 7 × 10 10 cm. The Earth-Sun distance is 1AU = ...
متن کاملCosmography with Galaxy Clusters
M. Soares-Santos Fermi National Accelerator Laboratory, Batavia, IL 60510, USA and Universidade de São Paulo, São Paulo, SP 05508-090, Brazil R. R. de Carvalho VST Center at Naples, Napoli, 80131, Italy and Instituto Nacional de Pesquisas Espaciais, São José dos Campos, SP 12227-010, Brazil F. La Barbera Osservatorio Astronomico di Capodimonte, Napoli, 80131, Italy P. A. A. Lopes Universidade d...
متن کاملNoise in Strong Lensing Cosmography
Giant arcs in strong lensing galaxy clusters can provide a purely geometric determination of cosmological parameters, such as the dark energy density and equation of state. We investigate sources of noise in cosmography with giant arcs, focusing in particular on errors induced by density fluctuations along the line-of-sight, and errors caused by modeling uncertainties. We estimate parameter err...
متن کاملCosmography: Cosmology without the Einstein equations
Abstract. How much of modern cosmology is really cosmography? How much of modern cosmology is independent of the Einstein equations? (Independent of the Friedmann equations?) These questions are becoming increasingly germane — as the models cosmologists use for the stress-energy content of the universe become increasingly baroque, it behoves us to step back a little and carefully disentangle co...
متن کاملVariational Gaussian process classifiers
Gaussian processes are a promising nonlinear regression tool, but it is not straightforward to solve classification problems with them. In this paper the variational methods of Jaakkola and Jordan are applied to Gaussian processes to produce an efficient Bayesian binary classifier.
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ژورنال
عنوان ژورنال: Physical Review D
سال: 2012
ISSN: 1550-7998,1550-2368
DOI: 10.1103/physrevd.85.123530