Skip to content

v3.1.0 - PSF Inference & Optimizer Refactor

Latest
Latest

Choose a tag to compare

View all tags
@jeipollack jeipollack released this 25 Feb 09:19
· 2 commits to main since this release
v3.1.0
7f9bf0b
This commit was created on GitHub.com and signed with GitHub’s verified signature.
GPG key ID: B5690EEEBB952194
Verified
Learn about vigilant mode.

This release introduces broadband (polychromatic) PSF inference from trained models and significantly refactors the optimizer and configuration systems. It also improves modularity, dependency management, and documentation.

Highlights

  • Added PSF inference capabilities for generating broadband PSFs from star positions and SEDs
  • Added run_type support in DataHandler and implemented ZernikeInputsFactory for building ZernikeInputs instances
  • Introduced configurable optimizer system via get_optimizer() with YAML/programmatic overrides
  • Removed TensorFlow Addons as a required dependency (now optional for RectifiedAdam)
  • Training now runs on TensorFlow 2.11 without requiring TFA

Improvements

  • Refactored physical model to separate training and inference behaviour
  • Centralized PSF data handling and model loading
  • Added unit tests for optimizer and interpolation modules
  • Updated packaging (pyproject.toml) and documentation structure
  • Added pre-commit hooks for formatting, linting, and changelog enforcement
  • See the full changelog for complete details.

Full Changelog: https://github.com/CosmoStat/wf-psf/blob/main/CHANGELOG.md

Assets 2
Loading