2014
DOI: 10.1088/0264-9381/31/11/115008
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A new method to determine large scale structure from the luminosity distance

Abstract: The luminosity distance can be used to determine the properties of large scale structure around the observer. To this purpose we develop a new inversion method to map luminosity distance to a LTB metric based on the use of the exact analytical solution for Einstein equations. The main advantages of this approach are an improved numerical accuracy and stability, an exact analytical setting of the initial conditions for the differential equations which need to be solved and the validity for any sign of the funct… Show more

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Cited by 8 publications
(19 citation statements)
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“…For the case of a constant δ = δ c the formula gives the expected result δ(χ) = δ c . The formula above represents the main theoretical result of this paper, and it allows to reconstruct directly the density field from luminosity distance observations without determining the metric as required with other much more complicated inversion methods, [15][16][17] and it has the additional the advantage of being valid also in presence of cosmological constant. Using this inversion method new evidence of local structure could be obtained from luminosity distance data, which can be then further investigated using other type of observations such as luminosity density or number counts for example.…”
Section: Reconstructing the Density Field From The Luminosity Distancementioning
confidence: 99%
“…For the case of a constant δ = δ c the formula gives the expected result δ(χ) = δ c . The formula above represents the main theoretical result of this paper, and it allows to reconstruct directly the density field from luminosity distance observations without determining the metric as required with other much more complicated inversion methods, [15][16][17] and it has the additional the advantage of being valid also in presence of cosmological constant. Using this inversion method new evidence of local structure could be obtained from luminosity distance data, which can be then further investigated using other type of observations such as luminosity density or number counts for example.…”
Section: Reconstructing the Density Field From The Luminosity Distancementioning
confidence: 99%
“…A detailed derivation of these equations is given in [45]. Notice that ρ 0 and initial conditions k(z = 0), η(z = 0) are fixed according to a 0 , H 0 and q 0 .…”
Section: Inhomogeneity Model and Inverted Density Profilementioning
confidence: 99%
“…In this paper we improve and apply the inversion method derived in [24] and [45] to obtain the local density map from standard candles luminosity distance observations. The inversion method requires as input a smooth function for the luminosity distance D L (z) which we obtain with a model independent fit of a combination of Cepheids-hosting galaxies from R16 and low redshift (z < 0.4) SNe from the UNION 2.1 catalogue of [46].…”
mentioning
confidence: 99%
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“…This is particularly important when trying to determine the metric of the Universe. Different numerical [23,[27][28][29][30][31][32] and analytical [33] inversion methods have been developed in absence of the cosmological constant.…”
Section: Introductionmentioning
confidence: 99%