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We eventually want to scale up the spectral inference to more sources with supercomputing resources. For now, let's focus on a few good demo sources, with good priors, good initial guesses, good noise models, and reproducible workflows.
Tasks:
Make sure all order have the same user-defined priors
Spot check the residuals for all initial guesses, iteratively refine
git commit all config.yaml and s0_phi.json files
Run token MCMC of ~3 samples to make sure everything compiles
pull all changes to NAS HECC resources
git commit the conda environment.yml file and .envrc file for reproducibility
Pick system for deployment-- pleiades or other
Deploy to Pleiades
The text was updated successfully, but these errors were encountered:
We eventually want to scale up the spectral inference to more sources with supercomputing resources. For now, let's focus on a few good demo sources, with good priors, good initial guesses, good noise models, and reproducible workflows.
Tasks:
The text was updated successfully, but these errors were encountered: