May 2024

PyAutoFit:

• Nautilus now outputs results on the fly: rhayes777/PyAutoFit#961
• Output latent samples of a model-fit, which are parameters derived from a model which may be marginalized over:

PR: rhayes777/PyAutoFit#994
Example: https://github.com/Jammy2211/autofit_workspace/blob/release/notebooks/cookbooks/analysis.ipynb

• model.info file displays complex models in a more concise and readable way: rhayes777/PyAutoFit#1012
• All samples with a weight below an input value are now removed from samples.csv to save hard disk space: rhayes777/PyAutoFit#979
• Documentation describing autofit scientific workflow: rhayes777/PyAutoFit#1011
• Refactor visualization into stand alone module: rhayes777/PyAutoFit#995
• Refactor how results are returned after a search: rhayes777/PyAutoFit#989
• Improved parallelism logging: rhayes777/PyAutoFit#1009
• Likelihood consistency check now performed internally: rhayes777/PyAutoFit#987
• Generation of initial search samples is now performed in parallel: rhayes777/PyAutoFit#997
• No longer store search_internal on hard-disk. simplifying source code internals: rhayes777/PyAutoFit#938
• Multiple small bug fixes and improvements to interface.

PyAutoGalaxy:

• Remove Plane object and replace with Galaxies object
• Shapelets improvements: #173
• Adaptive over sampling of grids for a pixelization: #168
• BasisPlotter which plots each basis (e.g. each Gaussian of an MGE): #173
• Plot mappings between source and image plane of a pixelization as lines: #172
• For multi-wavelength datasets model offsets between each dataset: #171
• Modeling of background sky: #170
• Improvements to use of adapt images for adaptive pixelizations: #160
• Improved angle conversions for computing errors on mass profile and shear angles from ell_comps: #169
• Remove sub_size from all classes (e.g. Array2D, Mask2D) to simplify API.
• MaternKernel added: #148