refactor: remove howtogalaxy tutorial dirs (now in PyAutoLabs/HowToGalaxy)

CLAUDE.md

@@ -96,9 +96,11 @@ Sub-packages within `scripts/` and `notebooks/`:
 - `interferometer/` — ALMA/JVLA uv-plane modeling
 - `multi/` — Multi-wavelength simultaneous modeling
 - `guides/` — API guides: modeling, results, plotting, over-sampling, HPC
-- `howtogalaxy/` — Tutorial lecture series
 - `ellipse/` — Ellipse fitting (non-parametric morphology)
 
+The tutorial lecture series now lives in its own repository at
+`https://github.com/PyAutoLabs/HowToGalaxy`.
+
 Each data-type package contains: `modeling.py`, `simulator.py`, `fit.py`, `features/`, `data_preparation/`, `likelihood_function.py`.
 
 ## Core API Patterns

README.rst

@@ -8,8 +8,8 @@ PyAutoGalaxy Workspace
 
 `Installation Guide <https://pyautogalaxy.readthedocs.io/en/latest/installation/overview.html>`_ |
 `readthedocs <https://pyautogalaxy.readthedocs.io/en/latest/index.html>`_ |
-`Introduction on Colab <https://colab.research.google.com/github/PyAutoLabs/autogalaxy_workspace/blob/2026.4.13.6/start_here.ipynb>`_
-`HowToGalaxy <https://pyautogalaxy.readthedocs.io/en/latest/howtogalaxy/howtogalaxy.html>`_
+`Introduction on Colab <https://colab.research.google.com/github/PyAutoLabs/autogalaxy_workspace/blob/2026.4.13.6/start_here.ipynb>`_ |
+`HowToGalaxy <https://github.com/PyAutoLabs/HowToGalaxy>`_
 
 Welcome to the **PyAutoGalaxy** Workspace!
 
@@ -38,18 +38,10 @@ to navigate the workspace for your science case.
 HowToGalaxy
 -----------
 
-For experienced scientists, the run through above will have been a breeze. Concepts surrounding galaxy structure and
-morphology were already familiar and the statistical techniques used for fitting and modeling already understood.
+If you are new to galaxy modeling or the statistical techniques it relies on, the **HowToGalaxy** lecture series
+takes you from first principles through to modeling real galaxy imaging data. It now lives in its own repository:
 
-For those less familiar with these concepts (e.g. undergraduate students, new PhD students or interested members of the
-public), things may have been less clear and a slower more detailed explanation of each concept would be beneficial.
-
-The **HowToGalaxy** Jupyter Notebook lectures are provide exactly this They are a 3+ chapter guide which thoroughly
-take you through the core concepts of galaxy light profiles, teach you the principles ofthe  statistical techniques
-used in modeling and ultimately will allow you to undertake scientific research like a professional astronomer.
-
-If this sounds like it suits you, checkout the `autogalaxy_workspace/notebooks/howtogalaxy` package now, its it
-recommended you go here before anywhere else!
+https://github.com/PyAutoLabs/HowToGalaxy
 
 Workspace Structure
 -------------------
@@ -68,7 +60,6 @@ The examples in the ``notebooks`` and ``scripts`` folders are structured as foll
 - ``imaging``: Examples for galaxy modeling using CCD imaging (e.g. Hubble, James Webb, Euclid).
 - ``interferometer``: Examples for galaxies observed with an interferometer (e.g. ALMA, JVLA).
 - ``multi``: Examples for modeling galaxies observed in multiple wavebands.
-- ``howtogalaxy``: Conceptual tutorials introducing galaxy modeling and inference with **PyAutoGalaxy**.
 
 The dataset packages (e.g. ``imaging``, ``interferometer`` and ``multi``) include the following types of examples:
 

config/build/env_vars.yaml

@@ -23,8 +23,6 @@ defaults:
 overrides:
   # Non-simulator scripts that load committed FITS data need full-size
   # datasets to avoid shape mismatch with pre-existing 100x100 data.
-  - pattern: "howtogalaxy/"
-    unset: [PYAUTO_SMALL_DATASETS]
   - pattern: "guides/"
     unset: [PYAUTO_SMALL_DATASETS]
   # guides/results/start_here.py must produce real samples so the example

config/build/no_run.yaml

@@ -17,7 +17,6 @@
 #   banner. Investigate the failure, fix the underlying bug, and remove
 #   the NEEDS_FIX marker.
 
-- tutorial_searches
 - guides/results/start_here # SLOW 2026-04-10 - exceeds 60s test timeout; unsets TEST_MODE to produce real samples for downstream examples
 - guides/results/examples/galaxies_fit # SLOW 2026-04-10 - exceeds 60s test timeout; unsets TEST_MODE for downstream examples
 - guides/results/examples/samples # SLOW 2026-04-10 - exceeds 60s test timeout; unsets TEST_MODE for downstream examples
@@ -35,8 +34,6 @@
 - ellipse/database # Ellipse model needs refactor and JAX support
 - ellipse/modeling # NEEDS_FIX 2026-04-10 - KeyError on 'ellipses.0.centre_0' kwargs after API drift in ellipse model
 - guides/advanced/over_sampling # NEEDS_FIX 2026-04-10 - plot_grid() got unexpected kwarg 'plot_grid_lines' after plotter API drift
-- howtogalaxy/chapter_4_pixelizations/tutorial_2_mappers # NEEDS_FIX 2026-04-10 - IndexError in mapper tutorial, likely empty mapping array
-- howtogalaxy/chapter_4_pixelizations/tutorial_5_model_fit # NEEDS_FIX 2026-04-10 - LinAlgError: matrix not positive definite in pixelization fit
 - imaging/data_preparation/manual/mask_irregular # NEEDS_FIX 2026-04-10 - silent failure, needs investigation
 - imaging/features/pixelization/modeling # NEEDS_FIX 2026-04-10 - LinAlgError: matrix not positive definite in pixelization modeling
 - autogalaxy_workspace/scripts/imaging/modeling # NEEDS_FIX 2026-04-10 - KeyError on ('galaxies','galaxy','bulge','ell_comps'...) kwargs after API drift in top-level imaging/modeling.py

notebooks/README.rst

@@ -15,4 +15,6 @@ Folders
 - ``interferometer``: Examples for galaxies observed with an interferometer (e.g. ALMA, JVLA).
 - ``ellipse``: Examples for perform ellipse isophote fitting on galaxy images.
 - ``multi``: Examples for multiple datasets simultaneously (E.g. multi-wavelength imaging, imaging and interferometry).
-- ``howtogalaxy``: The **HowToGalaxy** lectures which teach inexperienced scientists what galaxy fitting is and how to use **PyAutoGalaxy**.
+
+The **HowToGalaxy** lecture series, which teaches inexperienced scientists what galaxy fitting is and how to use
+**PyAutoGalaxy**, now lives in its own repository: https://github.com/PyAutoLabs/HowToGalaxy