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Example: Aging Workflow (Storage Stability)

Goal: Model degradation trajectories over storage time (days/months) and estimate remaining shelf-life.

🔬 Minimal Reproducible Example (Synthetic)

from examples.aging_quickstart import main
# Runs synthetic dataset generation, trajectory fitting, and shelf-life estimation
main()

Expected Output: 

Dataset: ~300 spectra, time range 0-180 days
Entities: 5

Trajectory metrics (first 5 rows):
  entity  slope  acceleration
  ...     ...    ...

Saved: outputs/aging_degradation_trajectories.png
Shelf-life estimates (days):
  entity  t_star  ci_low  ci_high  slope  intercept
  ...     ...     ...     ...      ...    ...

Saved: outputs/aging_shelf_life_estimates.png

📈 Figures

🔗 See Also