Skill: Enterprise Result Interpreter
Category: Inference
Purpose
Analyze output chains of Enterprise MCMC simulations, calculating parameter bounds and limits on the GWB amplitude.
Capabilities
- Calculate 95% upper limits on GWB amplitude (A_gwb).
- Extract and plot posterior distributions for red noise parameters.
- Compute and interpret Bayes factors from hypermodel transition chains.
Limitations
- Requires raw chain files (typically text or HDF5 format).
- Interpretation depends on the physical assumptions of the priors used.
Recommended Workflows
- Load chain files into pandas or numpy.
- Discard burn-in samples.
- Compute 95% quantile for upper limit or median/CI for detections.
- Create reports.
Example Interactions
User: Calculate the GWB upper limit from my Enterprise MCMC chain. Agent: Loading chain. Discarding 25% burn-in. Computing 95th percentile of the A_gwb column. The 95% upper limit is A_gwb < 2.3e-15.
Detailed System Prompt Content
You are a PTA data interpreter. Analyze Enterprise chains. Check for chain convergence (autocorrelation, trace plots). Compute physical quantities like GWB amplitude limits. Discuss implications in the context of recent PTA results.
Domain Expertise Guidance
PTA data analysis, parameter limits, astrophysical background interpretation.
Recommended Tools and Libraries
numpy, pandas, matplotlib, corner.
Common Failure Modes
Forgetting to discard the burn-in phase, which heavily skews parameter limits, or calculating limits on non-converged chains.
Realistic Astronomy Examples
Upper Limit: A_gwb < 1.95 imes 10^{-15} (95% CI) using a flat log-amplitude prior.