Nested Sampling Inference Products for Cosmological Parameter Estimation

Will Handley at the University of Cambridge produced these nested sampling inference products and code for a paper published on arXiv in 2021. The dataset likely contains posterior samples and evidence estimates from Bayesian inference runs. It is accompanied by a modified version of the CosmoChord software for nested sampling.

Use Cases

• Reproducing Bayesian inference results based on the nested sampling outputs described.
• Benchmarking nested sampling algorithms based on the provided inference products.
• Studying cosmological parameter estimation techniques based on the methodology described in the paper.

Strengths

• Associated with a peer-reviewed paper published on arXiv in 2021.
• Includes the source code (a modified CosmoChord) used to generate the inference products.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

University of Cambridge

Collection Method

Generated via nested sampling methods for a scientific paper.