docs: audit-driven URL fixes across docs, READMEs, and docstrings

CITATIONS.md

@@ -1,9 +1,9 @@
 # Citations & References
 
 The bibtex entries for **PyAutoLens** and its affiliated software packages can be found
-[here](https://github.com/Jammy2211/PyAutoLens/blob/main/files/citations.bib), with example text for citing **PyAutoLens**
-in [.tex format here](https://github.com/Jammy2211/PyAutoLens/blob/main/files/citations.tex) format here and
-[.md format here](https://github.com/Jammy2211/PyAutoLens/blob/main/files/citations.md). As shown in the examples, we
+[here](https://github.com/PyAutoLabs/PyAutoLens/blob/main/files/citations.bib), with example text for citing **PyAutoLens**
+in [.tex format here](https://github.com/PyAutoLabs/PyAutoLens/blob/main/files/citations.tex) format here and
+[.md format here](https://github.com/PyAutoLabs/PyAutoLens/blob/main/files/citations.md). As shown in the examples, we
 would greatly appreciate it if you mention **PyAutoLens** by name and include a link to our GitHub page!
 
 **PyAutoLens** is published in the [Journal of Open Source Software](https://joss.theoj.org/papers/10.21105/joss.02825#) and its

CODE_OF_CONDUCT.md

@@ -301,7 +301,7 @@ the situation is not yet resolved.
 
 ## License
 
-This code of conduct has been adapted from [*NUMFOCUS code of conduct*](https://github.com/numfocus/numfocus/blob/main/manual/numfocus-coc.md#the-short-version),
-which is adapted from numerous sources, including the [*Geek Feminism wiki, created by the Ada Initiative and other volunteers, which is under a Creative Commons Zero license*](http://geekfeminism.wikia.com/wiki/Conference_anti-harassment/Policy), the [*Contributor Covenant version 1.2.0*](http://contributor-covenant.org/version/1/2/0/), the [*Bokeh Code of Conduct*](https://github.com/bokeh/bokeh/blob/main/CODE_OF_CONDUCT.md), the [*SciPy Code of Conduct*](https://github.com/jupyter/governance/blob/main/conduct/enforcement.md), the [*Carpentries Code of Conduct*](https://docs.carpentries.org/topic_folders/policies/code-of-conduct.html#enforcement-manual), and the [*NeurIPS Code of Conduct*](https://neurips.cc/public/CodeOfConduct).
+This code of conduct has been adapted from [*NUMFOCUS code of conduct*](https://numfocus.org/code-of-conduct),
+which is adapted from numerous sources, including the [*Geek Feminism wiki, created by the Ada Initiative and other volunteers, which is under a Creative Commons Zero license*](http://geekfeminism.wikia.com/wiki/Conference_anti-harassment/Policy), the [*Contributor Covenant version 1.2.0*](http://contributor-covenant.org/version/1/2/0/), the [*Bokeh Code of Conduct*](https://github.com/bokeh/bokeh/blob/main/docs/CODE_OF_CONDUCT.md), the [*SciPy Code of Conduct*](https://github.com/jupyter/governance/blob/main/conduct/enforcement.md), the [*Carpentries Code of Conduct*](https://docs.carpentries.org/topic_folders/policies/code-of-conduct.html#enforcement-manual), and the [*NeurIPS Code of Conduct*](https://neurips.cc/public/CodeOfConduct).
 
 **PyAutoLens Code of Conduct is licensed under the [Creative Commons Attribution 3.0 Unported License](https://creativecommons.org/licenses/by/3.0/).**

CONTRIBUTING.md

@@ -74,7 +74,7 @@ Contributions are welcome and greatly appreciated!
 
 ### Report Bugs
 
-Report bugs at https://github.com/Jammy2211/PyAutoLens/issues
+Report bugs at https://github.com/PyAutoLabs/PyAutoLens/issues
 
 If you are playing with the PyAutoLens library and find a bug, please
 reporting it including:
@@ -86,7 +86,7 @@ reporting it including:
 ### Propose New Features
 
 The best way to send feedback is to open an issue at
-https://github.com/Jammy2211/PyAutoLens
+https://github.com/PyAutoLabs/PyAutoLens
 with tag *enhancement*.
 
 If you are proposing a nnew feature:

README.md

@@ -1,8 +1,8 @@
 # PyAutoLens-JAX: Open-Source Strong Lensing
 
-[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/PyAutoLabs/autolens_workspace/blob/2026.5.14.2/start_here.ipynb)
+[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/PyAutoLabs/autolens_workspace/blob/2026.5.14.2/notebooks/imaging/start_here.ipynb)
 [![Documentation Status](https://readthedocs.org/projects/pyautolens/badge/?version=latest)](https://pyautolens.readthedocs.io/en/latest/?badge=latest)
-[![Tests](https://github.com/Jammy2211/PyAutoLens/actions/workflows/main.yml/badge.svg)](https://github.com/Jammy2211/PyAutoLens/actions)
+[![Tests](https://github.com/PyAutoLabs/PyAutoLens/actions/workflows/main.yml/badge.svg)](https://github.com/PyAutoLabs/PyAutoLens/actions)
 [![Build](https://github.com/Jammy2211/PyAutoBuild/actions/workflows/release.yml/badge.svg)](https://github.com/Jammy2211/PyAutoBuild/actions)
 [![Code Style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
 [![JOSS](https://joss.theoj.org/papers/10.21105/joss.02825/status.svg)](https://doi.org/10.21105/joss.02825)
@@ -14,7 +14,7 @@
 
 [Installation Guide](https://pyautolens.readthedocs.io/en/latest/installation/overview.html) |
 [readthedocs](https://pyautolens.readthedocs.io/en/latest/index.html) |
-[Introduction on Colab](https://colab.research.google.com/github/PyAutoLabs/autolens_workspace/blob/2026.5.14.2/start_here.ipynb) |
+[Introduction on Colab](https://colab.research.google.com/github/PyAutoLabs/autolens_workspace/blob/2026.5.14.2/notebooks/imaging/start_here.ipynb) |
 [HowToLens](https://pyautolens.readthedocs.io/en/latest/howtolens/howtolens.html)
 
 <img src="https://github.com/Jammy2211/PyAutoLogo/blob/main/gifs/pyautolens.gif?raw=true" width="900" />
@@ -28,7 +28,7 @@ This is called strong gravitational lensing and **PyAutoLens** makes it **simple
 The following links are useful for new starters:
 
 - [The PyAutoLens readthedocs](https://pyautolens.readthedocs.io/en/latest): which includes [an overview of PyAutoLens's core features](https://pyautolens.readthedocs.io/en/latest/overview/overview_1_start_here.html), [a new user starting guide](https://pyautolens.readthedocs.io/en/latest/overview/overview_2_new_user_guide.html) and [an installation guide](https://pyautolens.readthedocs.io/en/latest/installation/overview.html).
-- [The introduction Jupyter Notebook on Google Colab](https://colab.research.google.com/github/PyAutoLabs/autolens_workspace/blob/2026.5.14.2/start_here.ipynb): try **PyAutoLens** in a web browser (without installation).
+- [The introduction Jupyter Notebook on Google Colab](https://colab.research.google.com/github/PyAutoLabs/autolens_workspace/blob/2026.5.14.2/notebooks/imaging/start_here.ipynb): try **PyAutoLens** in a web browser (without installation).
 - [The autolens_workspace GitHub repository](https://github.com/PyAutoLabs/autolens_workspace): example scripts covering every **PyAutoLens** use case.
 - [The HowToLens GitHub repository](https://github.com/PyAutoLabs/HowToLens): a Jupyter notebook lecture series teaching strong lensing and lens modeling from the ground up.
 
@@ -39,7 +39,7 @@ gravitational lensing analysis, and helps troubleshoot problems.
 
 Slack is invitation-only. If you'd like to join, please send an email requesting an invite.
 
-For installation issues, bug reports, or feature requests, please raise an issue on the [GitHub issues page](https://github.com/Jammy2211/PyAutoLens/issues).
+For installation issues, bug reports, or feature requests, please raise an issue on the [GitHub issues page](https://github.com/PyAutoLabs/PyAutoLens/issues).
 
 ## HowToLens
 
@@ -51,10 +51,10 @@ A complete overview of the lectures [is provided on the HowToLens readthedocs pa
 
 ## Citations
 
-Information on how to cite **PyAutoLens** in publications can be found [on the citations page](https://github.com/Jammy2211/PyAutoLens/blob/main/CITATIONS.md).
+Information on how to cite **PyAutoLens** in publications can be found [on the citations page](https://github.com/PyAutoLabs/PyAutoLens/blob/main/CITATIONS.md).
 
 ## Contributing
 
-Information on how to contribute to **PyAutoLens** can be found [on the contributing page](https://github.com/Jammy2211/PyAutoLens/blob/main/CONTRIBUTING.md).
+Information on how to contribute to **PyAutoLens** can be found [on the contributing page](https://github.com/PyAutoLabs/PyAutoLens/blob/main/CONTRIBUTING.md).
 
 Hands on support for contributions is available via our Slack workspace, again please email to request an invite.

docs/api/plot.rst

@@ -5,12 +5,12 @@ Plotting
 **PyAutoLens** custom visualization library.
 
 Step-by-step Juypter notebook guides illustrating all objects listed on this page are 
-provided on the `autolens_workspace: plot tutorials <https://github.com/Jammy2211/autolens_workspace/tree/release/notebooks/plot>`_ and
+provided on the `autolens_workspace: plot tutorials <https://github.com/PyAutoLabs/autolens_workspace/tree/main/notebooks/guides/plot>`_ and
 it is strongly recommended you use those to learn plot customization.
 
 **Examples / Tutorials:**
 
-- `autolens_workspace: plot tutorials <https://github.com/Jammy2211/autolens_workspace/tree/release/notebooks/plot>`_
+- `autolens_workspace: plot tutorials <https://github.com/PyAutoLabs/autolens_workspace/tree/main/notebooks/guides/plot>`_
 
 Plotters [aplt]
 ---------------

docs/conf.py

@@ -4,7 +4,7 @@
 #
 # This file only contains a selection of the most common options. For a full
 # list see the documentation:
-# https://www.sphinx-doc.org/en/main/usage/configuration.html
+# https://www.sphinx-doc.org/en/master/usage/configuration.html
 
 # -- Path setup --------------------------------------------------------------
 
@@ -65,7 +65,7 @@
 
 intersphinx_mapping = {
     "python": ("https://docs.python.org/3", None),
-    "sphinx": ("https://www.sphinx-doc.org/en/main", None),
+    "sphinx": ("https://www.sphinx-doc.org/en/master", None),
 }
 
 # -- Options for TODOs -------------------------------------------------------

docs/general/citations.md

@@ -3,9 +3,9 @@
 # Citations & References
 
 The bibtex entries for **PyAutoLens** and its affiliated software packages can be found
-[here](https://github.com/Jammy2211/PyAutoLens/blob/main/files/citations.bib), with example text for citing **PyAutoLens**
-in [.tex format here](https://github.com/Jammy2211/PyAutoLens/blob/main/files/citations.tex) format here and
-[.md format here](https://github.com/Jammy2211/PyAutoLens/blob/main/files/citations.md). As shown in the examples, we
+[here](https://github.com/PyAutoLabs/PyAutoLens/blob/main/files/citations.bib), with example text for citing **PyAutoLens**
+in [.tex format here](https://github.com/PyAutoLabs/PyAutoLens/blob/main/files/citations.tex) format here and
+[.md format here](https://github.com/PyAutoLabs/PyAutoLens/blob/main/files/citations.md). As shown in the examples, we
 would greatly appreciate it if you mention **PyAutoLens** by name and include a link to our GitHub page!
 
 **PyAutoLens** is published in the [Journal of Open Source Software](https://joss.theoj.org/papers/10.21105/joss.02825#) and its

docs/general/configs.md

@@ -4,7 +4,7 @@
 visualization and other aspects of **PyAutoLens**.
 
 Descriptions of every configuration file and their input parameters are provided in the `README.md` in
-the [config directory of the workspace](https://github.com/Jammy2211/autolens_workspace/tree/release/config)
+the [config directory of the workspace](https://github.com/PyAutoLabs/autolens_workspace/tree/main/config)
 
 ## Setup
 

docs/general/credits.md

@@ -6,7 +6,7 @@
 
 [James Nightingale](https://github.com/Jammy2211): Lead developer & PyAutoLens guru.
 
-[Richard Hayes](https://github.com/rhayes777): Lead developer & [PyAutoFit](https://github.com/rhayes777/PyAutoFit) guru.
+[Richard Hayes](https://github.com/rhayes777): Lead developer & [PyAutoFit](https://github.com/PyAutoLabs/PyAutoFit) guru.
 
 [Aristeidis Amvrosiadis](https://github.com/Sketos): Interferometer Analysis.
 

docs/general/demagnified_solutions.md

@@ -10,12 +10,12 @@ models to be estimated.
 This is due to demagnified source reconstructions, where the source is reconstructed as the lensed source galaxy
 (without any lensing):
 
-```{image} https://raw.githubusercontent.com/Jammy2211/PyAutoLens/main/docs/general/images/data.png
+```{image} https://raw.githubusercontent.com/PyAutoLabs/PyAutoLens/main/docs/general/images/data.png
 :alt: Alternative text
 :width: 400
 ```
 
-```{image} https://raw.githubusercontent.com/Jammy2211/PyAutoLens/main/docs/general/images/model_image.png
+```{image} https://raw.githubusercontent.com/PyAutoLabs/PyAutoLens/main/docs/general/images/model_image.png
 :alt: Alternative text
 :width: 400
 ```
@@ -30,14 +30,14 @@ models with **too much mass**, such that the ray-tracing inverts in on itself.
 The following schematic is from the paper Maresca et al 2021 (<https://arxiv.org/abs/2012.04665>) and illustrates
 this beautifully:
 
-```{image} https://raw.githubusercontent.com/Jammy2211/PyAutoLens/main/docs/general/images/maresca_fig1.png
+```{image} https://raw.githubusercontent.com/PyAutoLabs/PyAutoLens/main/docs/general/images/maresca_fig1.png
 :alt: Alternative text
 :width: 400
 ```
 
 The source reconstructions and model-fits of these solutions are also illustrated by Maresca et al 2021:
 
-```{image} https://raw.githubusercontent.com/Jammy2211/PyAutoLens/main/docs/general/images/maresca_fig2.png
+```{image} https://raw.githubusercontent.com/PyAutoLabs/PyAutoLens/main/docs/general/images/maresca_fig2.png
 :alt: Alternative text
 :width: 400
 ```
@@ -64,13 +64,13 @@ positions = al.Grid2DIrregular(
 Here is where the multiple images appear for an example strong lens, where multiple images are drawn on with black
 stars:
 
-```{image} https://raw.githubusercontent.com/Jammy2211/PyAutoLens/main/docs/general/images/lensed_source.png
+```{image} https://raw.githubusercontent.com/PyAutoLabs/PyAutoLens/main/docs/general/images/lensed_source.png
 :alt: Alternative text
 :width: 400
 ```
 
 The `autolens_workspace` also includes a Graphical User Interface for drawing lensed source positions via
-mouse click (<https://github.com/Jammy2211/autolens_workspace/blob/release/scripts/imaging/preprocess/gui/positions.py>).
+mouse click (<https://github.com/PyAutoLabs/autolens_workspace/blob/main/scripts/imaging/preprocess/gui/positions.py>).
 
 Next, we create `PositionsLH` object, which has an input `threshold`.
 

docs/general/model_cookbook.md

@@ -372,16 +372,16 @@ profiles.
 
 The following example notebooks show how to compose and fit these models:
 
-<https://github.com/Jammy2211/autolens_workspace/blob/release/notebooks/modeling/imaging/features/multi_gaussian_expansion.ipynb>
-<https://github.com/Jammy2211/autolens_workspace/blob/release/notebooks/modeling/imaging/features/shapelets.ipynb>
+<https://github.com/PyAutoLabs/autolens_workspace/blob/main/notebooks/imaging/features/multi_gaussian_expansion/modeling.ipynb>
+<https://github.com/PyAutoLabs/autolens_workspace/blob/main/notebooks/imaging/features/advanced/shapelets/modeling.ipynb>
 
 ## Model Linking (Advanced)
 
 When performing non-linear search chaining, the inferred model of one phase can be linked to the model.
 
 The following example notebooks show how to compose and fit these models:
 
-<https://github.com/Jammy2211/autolens_workspace/blob/release/notebooks/imaging/advanced/chaining/start_here.ipynb>
+<https://github.com/PyAutoLabs/autolens_workspace/blob/main/notebooks/imaging/advanced/chaining/start_here.ipynb>
 
 ## Across Datasets (Advanced)
 
@@ -390,7 +390,7 @@ but certain parameters are free to vary across the datasets.
 
 The following example notebooks show how to compose and fit these models:
 
-<https://github.com/Jammy2211/autolens_workspace/blob/release/notebooks/multi/modeling/start_here.ipynb>
+<https://github.com/PyAutoLabs/autolens_workspace/blob/main/notebooks/multi/start_here.ipynb>
 
 ## Relations (Advanced)
 
@@ -399,7 +399,7 @@ We can compose models where the free parameter(s) vary according to a user-speci
 
 The following example notebooks show how to compose and fit these models:
 
-<https://github.com/Jammy2211/autolens_workspace/blob/release/notebooks/multi/modeling/features/wavelength_dependence.ipynb>
+<https://github.com/PyAutoLabs/autolens_workspace/blob/main/notebooks/multi/features/wavelength_dependence/modeling.ipynb>
 
 ## PyAutoFit API
 

docs/general/workspace.md

@@ -2,7 +2,7 @@
 
 # Workspace Tour
 
-You should have downloaded and configured the [autolens workspace](https://github.com/Jammy2211/autolens_workspace)
+You should have downloaded and configured the [autolens workspace](https://github.com/PyAutoLabs/autolens_workspace)
 when you installed **PyAutoLens**. If you didn't, checkout the
 [installation instructions](https://pyautolens.readthedocs.io/en/latest/general/installation.html#installation-with-pip)
 for how to downloaded and configure the workspace.
@@ -18,7 +18,7 @@ There are numerous example describing how to perform lensing calculations, lens
 **PyAutoLens** features. All examples are provided as Python scripts and Jupyter notebooks.
 
 Descriptions of every configuration file and their input parameters are provided in the `README.md` in
-the [config directory of the workspace](https://github.com/Jammy2211/autolens_workspace/tree/release/config)
+the [config directory of the workspace](https://github.com/PyAutoLabs/autolens_workspace/tree/main/config)
 
 ## Config