cosmosis-parameter-estimator

Solid

CosmoSIS cosmological parameter estimation skill for MCMC sampling and likelihood analysis

AI & Automation 814 stars 53 forks Updated today MIT

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Quality Score: 93/100

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Description 5%
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Skill 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

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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