Bayesian analysis of the backreaction models
We present a Bayesian analysis of four different types of backreaction models, which are based on the Buchert equations. In this approach, one considers a solution to the Einstein equations for a general matter distribution and then an average of various observable quantities is taken. Such an appro...
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Veröffentlicht in: | Physical review. D, Particles and fields Particles and fields, 2010-03, Vol.81 (6), Article 063515 |
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creator | Kurek, Aleksandra Bolejko, Krzysztof Szydłowski, Marek |
description | We present a Bayesian analysis of four different types of backreaction models, which are based on the Buchert equations. In this approach, one considers a solution to the Einstein equations for a general matter distribution and then an average of various observable quantities is taken. Such an approach became of considerable interest when it was shown that it could lead to agreement with observations without resorting to dark energy. In this paper we compare the {Lambda}CDM model and the backreaction models with type Ia supernovae, baryon acoustic oscillations, and cosmic microwave background data, and find that the former is favored. However, the tested models were based on some particular assumptions about the relation between the average spatial curvature and the backreaction, as well as the relation between the curvature and curvature index. In this paper we modified the latter assumption, leaving the former unchanged. We find that, by varying the relation between the curvature and curvature index, we can obtain a better fit. Therefore, some further work is still needed--in particular, the relation between the backreaction and the curvature should be revisited in order to fully determine the feasibility of the backreaction models to mimic dark energy. |
doi_str_mv | 10.1103/PhysRevD.81.063515 |
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D, Particles and fields</title><description>We present a Bayesian analysis of four different types of backreaction models, which are based on the Buchert equations. In this approach, one considers a solution to the Einstein equations for a general matter distribution and then an average of various observable quantities is taken. Such an approach became of considerable interest when it was shown that it could lead to agreement with observations without resorting to dark energy. In this paper we compare the {Lambda}CDM model and the backreaction models with type Ia supernovae, baryon acoustic oscillations, and cosmic microwave background data, and find that the former is favored. However, the tested models were based on some particular assumptions about the relation between the average spatial curvature and the backreaction, as well as the relation between the curvature and curvature index. In this paper we modified the latter assumption, leaving the former unchanged. We find that, by varying the relation between the curvature and curvature index, we can obtain a better fit. 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D, Particles and fields</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kurek, Aleksandra</au><au>Bolejko, Krzysztof</au><au>Szydłowski, Marek</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Bayesian analysis of the backreaction models</atitle><jtitle>Physical review. D, Particles and fields</jtitle><date>2010-03-15</date><risdate>2010</risdate><volume>81</volume><issue>6</issue><artnum>063515</artnum><issn>1550-7998</issn><issn>0556-2821</issn><eissn>1550-2368</eissn><eissn>1089-4918</eissn><abstract>We present a Bayesian analysis of four different types of backreaction models, which are based on the Buchert equations. In this approach, one considers a solution to the Einstein equations for a general matter distribution and then an average of various observable quantities is taken. Such an approach became of considerable interest when it was shown that it could lead to agreement with observations without resorting to dark energy. In this paper we compare the {Lambda}CDM model and the backreaction models with type Ia supernovae, baryon acoustic oscillations, and cosmic microwave background data, and find that the former is favored. However, the tested models were based on some particular assumptions about the relation between the average spatial curvature and the backreaction, as well as the relation between the curvature and curvature index. In this paper we modified the latter assumption, leaving the former unchanged. We find that, by varying the relation between the curvature and curvature index, we can obtain a better fit. Therefore, some further work is still needed--in particular, the relation between the backreaction and the curvature should be revisited in order to fully determine the feasibility of the backreaction models to mimic dark energy.</abstract><cop>United States</cop><doi>10.1103/PhysRevD.81.063515</doi><oa>free_for_read</oa></addata></record> |
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subjects | ASTROPHYSICS, COSMOLOGY AND ASTRONOMY BARYONS BINARY STARS COMPARATIVE EVALUATIONS DISTRIBUTION EINSTEIN FIELD EQUATIONS ELECTROMAGNETIC RADIATION ELEMENTARY PARTICLES EQUATIONS ERUPTIVE VARIABLE STARS EVALUATION FERMIONS FIELD EQUATIONS HADRONS MATHEMATICAL SOLUTIONS MATTER MICROWAVE RADIATION NONLUMINOUS MATTER OSCILLATIONS RADIATIONS RELICT RADIATION STARS SUPERNOVAE VARIABLE STARS |
title | Bayesian analysis of the backreaction models |
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