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Information Gains in Cosmological Parameter Estimation

Published online by Cambridge University Press:  01 July 2015

Sebastian Seehars ,
Adam Amara ,
Alexandre Refregier ,
Aseem Paranjape  and
Joël Akeret
Sebastian Seehars
Affiliation:
ETH Zurich, Department of Physics, Wolfgang-Pauli-Strasse 27, 8093 Zurich, Switzerland email: [email protected]
Adam Amara
Affiliation:
ETH Zurich, Department of Physics, Wolfgang-Pauli-Strasse 27, 8093 Zurich, Switzerland
Alexandre Refregier
Affiliation:
ETH Zurich, Department of Physics, Wolfgang-Pauli-Strasse 27, 8093 Zurich, Switzerland
Aseem Paranjape
Affiliation:
ETH Zurich, Department of Physics, Wolfgang-Pauli-Strasse 27, 8093 Zurich, Switzerland
Joël Akeret
Affiliation:
ETH Zurich, Department of Physics, Wolfgang-Pauli-Strasse 27, 8093 Zurich, Switzerland
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Abstract

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Combining datasets from different experiments and probes to constrain cosmological models is an important challenge in observational cosmology. We summarize a framework for measuring the constraining power and the consistency of separately or jointly analyzed data within a given model that we proposed in earlier work (Seehars et al.2014). Applying the Kullback-Leibler divergence to posterior distributions, we can quantify the difference between constraints and distinguish contributions from gains in precision and shifts in parameter space. We show results from applying this technique to a combination of datasets and probes such as the cosmic microwave background or baryon acoustic oscillations.

Keywords

methods: data analysiscosmology
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 10 , Symposium S306: Statistical Challenges in 21st Century Cosmology , May 2014 , pp. 206 - 209
Copyright
Copyright © International Astronomical Union 2015 

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