docs: audit-driven URL fixes (workspace phase)

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/).**

notebooks/chapter_1_introduction/tutorial_1_grids_and_galaxies.ipynb

@@ -14,7 +14,7 @@
         "\n",
         "Here is a schematic of a strong gravitational lens:\n",
         "\n",
-        "![Schematic of Gravitational Lensing](https://raw.githubusercontent.com/Jammy2211/PyAutoLens/main/docs/overview/images/overview_1_lensing/schematic.jpg)\n",
+        "![Schematic of Gravitational Lensing](https://raw.githubusercontent.com/PyAutoLabs/PyAutoLens/main/docs/overview/images/overview_1_lensing/schematic.jpg)\n",
         "**Credit: F. Courbin, S. G. Djorgovski, G. Meylan, et al., Caltech / EPFL / WMKO**\n",
         "https://www.astro.caltech.edu/~george/qsolens/\n",
         "\n",

notebooks/chapter_1_introduction/tutorial_8_summary.ipynb

@@ -244,13 +244,13 @@
         "code at some point in the future. Firstly, you should note that all of the code we discuss throughout the **HowToLens** \n",
         "lectures is not contained in just one project (e.g. the **PyAutoLens** GitHub repository) but in fact four repositories:\n",
         "\n",
-        "**PyAutoFit** - Everything required for lens modeling (the topic of chapter 2): https://github.com/rhayes777/PyAutoFit\n",
+        "**PyAutoFit** - Everything required for lens modeling (the topic of chapter 2): https://github.com/PyAutoLabs/PyAutoFit\n",
         "\n",
-        "**PyAutoArray** - Handles all data structures and Astronomy dataset objects: https://github.com/Jammy2211/PyAutoArray\n",
+        "**PyAutoArray** - Handles all data structures and Astronomy dataset objects: https://github.com/PyAutoLabs/PyAutoArray\n",
         "\n",
-        "**PyAutoGalaxy** - Contains the light profiles, mass profiles and galaxies: https://github.com/Jammy2211/PyAutoGalaxy\n",
+        "**PyAutoGalaxy** - Contains the light profiles, mass profiles and galaxies: https://github.com/PyAutoLabs/PyAutoGalaxy\n",
         "\n",
-        "**PyAutoLens** - Everything strong lensing: https://github.com/Jammy2211/PyAutoLens\n",
+        "**PyAutoLens** - Everything strong lensing: https://github.com/PyAutoLabs/PyAutoLens\n",
         "\n",
         "Instructions on how to build these projects from source are provided here:\n",
         "\n",
@@ -270,7 +270,7 @@
         "Finally, if you enjoyed doing the **HowToLens** tutorials please git us a star on the **PyAutoLens** GitHub\n",
         "repository: \n",
         "\n",
-        " https://github.com/Jammy2211/PyAutoLens\n",
+        " https://github.com/PyAutoLabs/PyAutoLens\n",
         "\n",
         "Even the smallest bit of exposure via a GitHub star can help our project grow!"
       ]

notebooks/chapter_2_lens_modeling/tutorial_1_non_linear_search.ipynb

@@ -185,7 +185,7 @@
         "__PyAutoFit__\n",
         "\n",
         "Modeling uses the probabilistic programming language\n",
-        "[PyAutoFit](https://github.com/rhayes777/PyAutoFit), an open-source project that allows complex model\n",
+        "[PyAutoFit](https://github.com/PyAutoLabs/PyAutoFit), an open-source project that allows complex model\n",
         "fitting techniques to be straightforwardly integrated into scientific modeling software. \n",
         "\n",
         "**PyAutoFit** is actually a spin-off project of **PyAutoLen**. whereby we found that the statistic techniques and\n",

scripts/chapter_1_introduction/tutorial_1_grids_and_galaxies.py

@@ -9,7 +9,7 @@
 
 Here is a schematic of a strong gravitational lens:
 
-![Schematic of Gravitational Lensing](https://raw.githubusercontent.com/Jammy2211/PyAutoLens/main/docs/overview/images/overview_1_lensing/schematic.jpg)
+![Schematic of Gravitational Lensing](https://raw.githubusercontent.com/PyAutoLabs/PyAutoLens/main/docs/overview/images/overview_1_lensing/schematic.jpg)
 **Credit: F. Courbin, S. G. Djorgovski, G. Meylan, et al., Caltech / EPFL / WMKO**
 https://www.astro.caltech.edu/~george/qsolens/
 

scripts/chapter_1_introduction/tutorial_8_summary.py

@@ -175,13 +175,13 @@
 code at some point in the future. Firstly, you should note that all of the code we discuss throughout the **HowToLens** 
 lectures is not contained in just one project (e.g. the **PyAutoLens** GitHub repository) but in fact four repositories:
 
-**PyAutoFit** - Everything required for lens modeling (the topic of chapter 2): https://github.com/rhayes777/PyAutoFit
+**PyAutoFit** - Everything required for lens modeling (the topic of chapter 2): https://github.com/PyAutoLabs/PyAutoFit
 
-**PyAutoArray** - Handles all data structures and Astronomy dataset objects: https://github.com/Jammy2211/PyAutoArray
+**PyAutoArray** - Handles all data structures and Astronomy dataset objects: https://github.com/PyAutoLabs/PyAutoArray
 
-**PyAutoGalaxy** - Contains the light profiles, mass profiles and galaxies: https://github.com/Jammy2211/PyAutoGalaxy
+**PyAutoGalaxy** - Contains the light profiles, mass profiles and galaxies: https://github.com/PyAutoLabs/PyAutoGalaxy
 
-**PyAutoLens** - Everything strong lensing: https://github.com/Jammy2211/PyAutoLens
+**PyAutoLens** - Everything strong lensing: https://github.com/PyAutoLabs/PyAutoLens
 
 Instructions on how to build these projects from source are provided here:
 
@@ -201,7 +201,7 @@
 Finally, if you enjoyed doing the **HowToLens** tutorials please git us a star on the **PyAutoLens** GitHub
 repository: 
 
- https://github.com/Jammy2211/PyAutoLens
+ https://github.com/PyAutoLabs/PyAutoLens
 
 Even the smallest bit of exposure via a GitHub star can help our project grow!
 """

scripts/chapter_2_lens_modeling/tutorial_1_non_linear_search.py

@@ -169,7 +169,7 @@
 __PyAutoFit__
 
 Modeling uses the probabilistic programming language
-[PyAutoFit](https://github.com/rhayes777/PyAutoFit), an open-source project that allows complex model
+[PyAutoFit](https://github.com/PyAutoLabs/PyAutoFit), an open-source project that allows complex model
 fitting techniques to be straightforwardly integrated into scientific modeling software. 
 
 **PyAutoFit** is actually a spin-off project of **PyAutoLen**. whereby we found that the statistic techniques and