September 2024

This release updates all projects to support Python 3.12, with support tested for Python 3.9 - 3.12 and 3.11 regarded as most stable.

This includes many project dependency updates:

https://github.com/rhayes777/PyAutoFit/blob/main/requirements.txt
https://github.com/rhayes777/PyAutoFit/blob/main/optional_requirements.txt
https://github.com/Jammy2211/PyAutoGalaxy/blob/main/requirements.txt
https://github.com/Jammy2211/PyAutoGalaxy/blob/main/optional_requirements.txt
https://github.com/Jammy2211/PyAutoLens/blob/main/requirements.txt
https://github.com/Jammy2211/PyAutoLens/blob/main/optional_requirements.txt

Workspace Restructure:

This release has a workspace restructure, which is now grouped at a high level by tasks (e.g. modeling, simulators) rather than datasets:

https://github.com/Jammy2211/autolens_workspace

The readthedocs have been greatly simplified and include a new user guide to help navigate the new workspace:

https://pyautolens.readthedocs.io/en/latest/overview/overview_2_new_user_guide.html

PyAutoLens:

• Point source modeling significantly improved with triangle tracing method, image plane chi squared supported: https://github.com/Jammy2211/autolens_workspace/tree/release/notebooks/modeling/point_source
• Shape based point-source modeling for magnification calculations: #300
• Improved Cosmology wrapper to support new astropy and easier to use in models: Jammy2211/PyAutoGalaxy#193
• Ellipse Fitting: https://github.com/Jammy2211/autogalaxy_workspace/tree/release/notebooks/advanced/misc/ellipse

PyAutoFit:

https://github.com/rhayes777/PyAutoFit/pulls?q=is%3Apr+is%3Aclosed

• Improvements to HowToFit lectures: rhayes777/PyAutoFit#1022
• Support for NumPy arrays in model composition and prior creation, for example creating an ndarray of input shape where each value is a free parameter in the seach: rhayes777/PyAutoFit#1021
• Name of optimize searches renamed to mle, for maximum likelihood estimator, with improvements to visualization: rhayes777/PyAutoFit#1029
• Improvement to sensitivity mapping functionality and results: https://github.com/rhayes777/PyAutoFit/pulls?q=is%3Apr+is%3Aclosed
• More improvements to JAX Pytree interface, documentation still to come.