2015
DOI: 10.1088/1475-7516/2015/10/057
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CMB seen through random Swiss Cheese

Abstract: Abstract. We consider a Swiss Cheese model with a random arrangement of Lemaître-Tolman-Bondi holes in ΛCDM cheese. We study two kinds of holes with radius r b = 50 h −1 Mpc, with either an underdense or an overdense centre, called the open and closed case, respectively. We calculate the effect of the holes on the temperature, angular diameter distance and, for the first time in Swiss Cheese models, shear of the CMB. We quantify the systematic shift of the mean and the statistical scatter, and calculate the po… Show more

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Cited by 23 publications
(44 citation statements)
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References 291 publications
(455 reference statements)
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“…In particular, when using different types of averages such as area, angular, source and ensemble averages, certain observables will be unbiased in their mean while observables * sofie.koksbang@helsinki.fi depending non-linearly on these will have small biases. This has been shown with studies based on perturbative expansions [12][13][14][15][16][17][18] and is consistent with findings based on Swiss cheese models and similar [8,[19][20][21][22][23][24][25] and on N-body simulations [6,26].…”
Section: Introductionsupporting
confidence: 92%
“…In particular, when using different types of averages such as area, angular, source and ensemble averages, certain observables will be unbiased in their mean while observables * sofie.koksbang@helsinki.fi depending non-linearly on these will have small biases. This has been shown with studies based on perturbative expansions [12][13][14][15][16][17][18] and is consistent with findings based on Swiss cheese models and similar [8,[19][20][21][22][23][24][25] and on N-body simulations [6,26].…”
Section: Introductionsupporting
confidence: 92%
“…Note however that the non-perturbative numerical analysis of light propagation through a random Swiss-cheese model with transparent Lemaître-Tolman-Bondi holes, performed by Lavinto & Räsänen [61], exhibited deviations with respect to this rule.…”
Section: Directional Average Of the Inverse Magnificationmentioning
confidence: 98%
“…Interestingly, the standard deviation for dispersions ∆µ was found to be 0.004 ≤ σ ∆µ ≤ 0.008, smaller than the intrinsic dispersion of magnitudes of Type Ia supernovae. Lavinto & Räsänen (2015) examined the CMB as seen through random Swiss cheese. Usually, 'closed' holes had been examined, i.e.…”
Section: Swiss-cheese Modelsmentioning
confidence: 99%
“…an overdense centre surrounded by an underdensity. Lavinto & Räsänen (2015) examind 'open' holes as well, i.e. an underdense void surrounded by a thin overdense shell.…”
Section: Swiss-cheese Modelsmentioning
confidence: 99%
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