Difference between revisions of "Cosmological Parameters"
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== Description == | == Description == | ||
| − | The cosmological parameter results explore a variety of cosmological models with combinations of Planck and other data. We provide results from MCMC exploration chains, as well as best fits. Definitions, conventions and reference are contained in <cite>#planck2013-p11</cite>. | + | The cosmological parameter results explore a variety of cosmological models with combinations of Planck and other data. We provide results from MCMC exploration chains, as well as best fits, and sets of parameter tables. Definitions, conventions and reference are contained in <cite>#planck2013-p11</cite>. |
==Production process== | ==Production process== | ||
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Results of the parameter exploration runs should be reproducible using CosmoMC with the Planck likelihood code. | Results of the parameter exploration runs should be reproducible using CosmoMC with the Planck likelihood code. | ||
| − | == File | + | == Parameter Tables == |
| + | |||
| + | These list paramter constraints for each considered model and data combination separately | ||
| + | |||
| + | * PDF tables with 68% limits [[File:grid_limit68.pdf]] | ||
| + | * PDF tables with 95% limits [[File:grid_limit95.pdf]] | ||
| + | |||
| + | There are also summary comparison tables, showing how constraints for selected models vary with data used to constrain them: | ||
| + | |||
| + | * Comparison tables with 68% limits [[File:grid_limit68.pdf]] | ||
| + | * Comparison tables with 95% limits [[File:grid_limit95.pdf]] | ||
| + | |||
| + | |||
| + | == Parameter Chains == | ||
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Revision as of 14:49, 7 March 2013
Contents
Cosmological parameter results
Description
The cosmological parameter results explore a variety of cosmological models with combinations of Planck and other data. We provide results from MCMC exploration chains, as well as best fits, and sets of parameter tables. Definitions, conventions and reference are contained in #planck2013-p11.
Production process
Parameter chains are produced using CosmoMC, a sampling package available from [1]. This includes the sample analysis package GetDist, and the scripts for managing and analysing the full grid or runs. Chain products provided here have had burn in removed. Some results with additional data are produced by importance sampling.
Caveats and known issues
Confidence intervals are derived from the MCMC samples, and assume the input likelihoods are exactly correct, so there is no quantification for systematic errors other than via the covariance, foreground and beam error models assumed in the likelihood codes. We had some issues producing reliable results from the minimizer used to produce the best fits, so in some cases the quoted fits may be significantly improved.
Related products
Results of the parameter exploration runs should be reproducible using CosmoMC with the Planck likelihood code.
Parameter Tables
These list paramter constraints for each considered model and data combination separately
- PDF tables with 68% limits File:Grid limit68.pdf
- PDF tables with 95% limits File:Grid limit95.pdf
There are also summary comparison tables, showing how constraints for selected models vary with data used to constrain them:
- Comparison tables with 68% limits File:Grid limit68.pdf
- Comparison tables with 95% limits File:Grid limit95.pdf
Parameter Chains
References
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</biblio>
