Add cluster mass-parameterization guide scripts

llms-full.txt

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-AUTO-GENERATED by PyAutoBuild — do not edit by hand; regenerate with generate.py.
+AUTO-GENERATED by PyAutoHands — do not edit by hand; regenerate with generate.py.
 
 # PyAutoLens Workspace — Full Catalogue
 
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 - [Lenstool Users: dPIE Parameterization Mapping (Scaling Galaxies)](scripts/cluster/lenstool/parameterization_mapping.py): **If you want to fit cluster member (scaling) galaxies without knowing the source or lens redshift, this script shows you how — and proves it recovers the standard Lenstool model exactly once the redshifts become known.**
 - [Log Likelihood Function: Cluster Point Source](scripts/cluster/likelihood_function.py): This script provides a step-by-step guide of the cluster point-source ``log_likelihood_function``, the figure-of-merit Nautilus optimises when fitting a cluster lens model to ``point_datasets.csv``.
   - Contents: Dataset, Truth Model, Tracer, Source-Plane Chi Squared: Concept, Multi-Plane Ray Tracing, Back-Traced Source-Plane Positions, Source-Plane Centroid, Residual Map, Magnifications at Positions, Chi Squared Map (Source), Per-Source Chi Squared, Total Chi Squared (Source), Noise Normalization (Source), Source-Plane Log Likelihood, Source-Plane Validation, Image-Plane Chi Squared: Concept, Point Solver Setup, Forward Solving Model Positions, Pairing Model to Observed, Image-Plane Residual Map, Chi Squared Map (Image), Per-Source / Total Chi Squared, Noise Normalization (Image), Image-Plane Log Likelihood, Image-Plane Validation, Source-Plane vs Image-Plane: When to Use Which, Wrap Up
+- [Cluster & Group Mass Parameterizations](scripts/cluster/mass_parameterizations.py): **A plain-language tour of the ways to parameterize and couple the masses in a Lenstool-style cluster model — the cluster-scale halo, the BCG and other individually-freed galaxies, and the member ("scaling") population.**
+  - Contents: Model 1 — The Standard Lenstool Model, Model 2 — The Angular (b0) Parameterization, Model 3 — Mass Anchoring, Model 4 — The Two-Parameter Relation
+- [Mass Parameterizations II — Mapping Lenstool onto PyAutoLens](scripts/cluster/mass_parameterizations_pyautolens.py): **For Lenstool users: how and why PyAutoLens re-expresses the standard Lenstool cluster / group model in its native parameterization for multi-galaxy lenses (MGLs), and how to keep the dPIE's truncation on the outskirts if you want it.**
 - [Modeling: Cluster](scripts/cluster/modeling.py): This script models the small multi-plane cluster lens simulated by ``cluster/simulator.py``: a Brightest Cluster Galaxy (BCG) plus one satellite member at the lens redshift ``z = 0.5``, 10 lower-mass cluster members modelled collectively via a luminosity-mass scaling relation, a standalone NFW host dark matter halo *not* tied to any individual galaxy, and 2 background sources at *different* redshifts (``z = 1.0`` and ``z = 2.0``) which the cluster lenses into multiple images.
   - Contents: Example, Simulation, Dataset, Model CSVs, Scaling Galaxies Table, Point Solver, Chi Squared, Cluster Components, Redshifts, Model, Scaling Relation, Name Pairing, Search, Live Visual Update, Analysis, Factor Graph, Run Times, Output Folder Layout, Result
 - [Simulator: Cluster](scripts/cluster/simulator.py): This script simulates an example strong lens on the 'cluster' scale: a small cluster consisting of 2 main lens galaxies (a brightest cluster galaxy + a single satellite), 10 lower-mass cluster member galaxies on a luminosity-mass scaling relation, a single host dark matter halo not tied to any individual galaxy, and 2 multiply-imaged background source galaxies sitting at *different* redshifts (``z = 1.0`` and ``z = 2.0``) — making this a genuine multi-plane lens.