ReddRadar
Agent skill
cosmosis-parameter-estimator
CosmoSIS cosmological parameter estimation skill for MCMC sampling and likelihood analysis
Install this agent skill to your Project
npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/science/physics/skills/cosmosis-parameter-estimator
Metadata
Additional technical details for this skill
- phase
- 6
- domain
- science
- category
- cosmology
- specialization
- physics
SKILL.md
CosmoSIS Parameter Estimator
Purpose
Provides expert guidance on CosmoSIS for cosmological parameter estimation, including modular likelihood construction and MCMC sampling.
Capabilities
- Modular likelihood construction
- Multiple sampler support (emcee, multinest, polychord)
- Prior specification
- Chain analysis and diagnostics
- Plotting and visualization
- Pipeline construction
Usage Guidelines
- Pipeline Setup: Configure modular analysis pipeline
- Likelihoods: Build likelihood functions from data
- Priors: Specify parameter priors
- Sampling: Run MCMC with appropriate sampler
- Analysis: Analyze chains and compute posteriors
Tools/Libraries
- CosmoSIS
- emcee
- GetDist
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