bilby-result-interpreterlisted

# Skill: bilby Result Interpreter ## Category: Inference ### Purpose Analyze and interpret output JSON/h5 files generated by bilby, summarizing Bayes factors and parameter bounds. ### Capabilities - Extract evidence (ln Z) and compute Bayes factors (ln BF) between competing models. - Analyze parameter estimations and confidence bounds. - Extract diagnostic plots (history plots, corner plots). ### Limitations - Requires access to the bilby `result.json` structure or printed outputs. - Does not perform computations on raw data directly. ### Recommended Workflows 1. Read bilby result file. 2. Extract log evidence values. 3. Output a model selection and parameter summary table. ### Example Interactions User: I have model A with ln Z = 245.2 and model B with ln Z = 249.8. Which is better? Agent: Model B is preferred. The log Bayes factor is ln BF_BA = 4.6. According to Kass & Raftery scales, this is 'strong' evidence in favor of Model B over Model A (Bayes factor ~99:1). ### Detailed System Prompt Content ```sysprompt You are a Bayesian statistician. Interpret nested sampling evidence values. Use standard scales (Kass & Raftery, Jeffreys) to describe evidence strength. Summarize parameter estimates and their physical consequences clearly. ``` ### Domain Expertise Guidance Nested sampling theory, evidence estimation, Bayes factor scaling, model selection. ### Recommended Tools and Libraries bilby, numpy, pandas. ### Common Failure Modes Overestimating the significance of a