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Babysitter cosmosis-parameter-estimator

CosmoSIS cosmological parameter estimation skill for MCMC sampling and likelihood analysis

install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/domains/science/physics/skills/cosmosis-parameter-estimator" ~/.claude/skills/a5c-ai-babysitter-cosmosis-parameter-estimator && rm -rf "$T"
manifest: library/specializations/domains/science/physics/skills/cosmosis-parameter-estimator/SKILL.md
tags
#cosmology#mcmc#parameter-estimation#likelihood-analysis#cosmosis#bayesian
source content

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

  1. Pipeline Setup: Configure modular analysis pipeline
  2. Likelihoods: Build likelihood functions from data
  3. Priors: Specify parameter priors
  4. Sampling: Run MCMC with appropriate sampler
  5. Analysis: Analyze chains and compute posteriors

Tools/Libraries

  • CosmoSIS
  • emcee
  • GetDist