Bayesian evidence for the tensor-to-scalar ratio r and neutrino masses m_nu: Effects of un

L. T. Hergt from the University of Cambridge provides the nested sampling inference products and input files used to compute results for the paper arXiv:2102.11511. The dataset includes example plotting scripts and figures to demonstrate usage. It contains files for different cosmological models, including the concordance Lambda-CDM model and its extensions with variable tensor-to-scalar ratio and massive neutrinos.

Use Cases

• Reproducing Bayesian evidence calculations for cosmological models based on the provided nested sampling chains.
• Comparing the effects of uniform versus logarithmic priors on parameter inference for r and m_nu based on the described model variants.
• Visualizing posterior distributions for Lambda-CDM extensions using the included example plotting scripts.
• Benchmarking different sampling algorithms (e.g., PolyChord, MCMC) on cosmological parameter estimation problems.

Strengths

• Includes inference products directly linked to a peer-reviewed paper (arXiv:2102.11511), ensuring research relevance.
• Provides example plotting scripts in .ipynb and .html formats to facilitate usage and reproducibility.
• Covers multiple cosmological model variants (e.g., Lambda-CDM, Lambda-CDM with variable r, Lambda-CDM with massive neutrinos) for comparative analysis.

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, author L. T. Hergt

Collection Method

Nested sampling inference products generated for a specific research paper.