v0.1.0-alpha

Initial alpha release of prCARS.

prCARS is a Python toolkit for phase retrieval, non-resonant-background correction, preprocessing, and Raman-like signal reconstruction from CARS/BCARS spectra.

Added

• Kramers-Kronig phase retrieval workflow

• Maximum Entropy Method retrieval workflow

• Optional neural-network retrieval interface

• Background estimation utilities:

  • ALS
  • polynomial fitting
  • SNIP
  • rolling-ball

• Background correction modes:

  • subtract
  • divide
  • square-root divide

• Denoising utilities:

  • Savitzky-Golay
  • Wiener
  • wavelet-based denoising

• Synthetic CARS/BCARS example generation

• Benchmark utilities for retrieval comparison

• Reusable pipeline object for reproducible workflows

• Tests for retrieval, preprocessing, and pipeline behavior

• GitHub Actions CI for linting and tests

• Citation metadata with CITATION.cff

• Improved README with installation, quickstart, methods, limitations, and roadmap

Fixed

• Fixed Kramers-Kronig direct phase retrieval method call
• Updated optional neural-network tests to skip when PyTorch or TensorFlow is not installed
• Tuned Ruff configuration for the current alpha-stage scientific codebase
• Cleaned repository hygiene and ignored local system/generated files

Notes

• Neural-network retrieval is experimental and requires optional backend dependencies.
• Generated data and large outputs are not included in the repository.
• This is an alpha-stage research and portfolio project.
• This project is not intended for clinical diagnosis, medical decision-making, or deployment in real healthcare settings.