Add interferometer operated_light_profile example package

llms-full.txt

@@ -294,6 +294,10 @@ AUTO-GENERATED by PyAutoHands — do not edit by hand; regenerate with generate.
   - Contents: PyAutoLens Requirements, CASA in Five Steps, Step 1 — Split by Field / SPW, Step 2 — Channel Averaging, Step 3 — Continuum Subtraction, Step 4 — Rescale Sigmas, Step 5 — Export to FITS, Combining Spectral Windows, Polarisations, Building the Interferometer Object, Troubleshooting, SLACK
 - [Interferometer: Data Preparation](scripts/interferometer/data_preparation.py): When an interferometer dataset is analysed, it must conform to certain standards in order for the analysis to be performed correctly. This tutorial describes these standards and links to more detailed scripts which will help you prepare your dataset to adhere to them if it does not already.
   - Contents: SLACK, Pixel Scale, Visibilities, Noise-Map, UV Wavelengths, Real Space Mask, Data Processing Complete, Positions (Optional), Lens Light Centre (Optional), Extra Galaxies (Optional), Mask Extra Galaxies (Optional), Info (Optional)
+- [Modeling Features: Operated Light Profiles (Interferometer)](scripts/interferometer/features/advanced/operated_light_profile/modeling.py): It is common for galaxies to have point-source emission, for example bright emission right at their centre due to an active galactic nuclei or a compact knot of star formation.
+  - Contents: Mask, Dataset, Dataset Auto-Simulation, Model, Search, Analysis, Run Time, Model-Fit, Result
+- [Simulator: Light Operated (Interferometer)](scripts/interferometer/features/advanced/operated_light_profile/simulator.py): It is common for galaxies to have point-source emission, for example bright emission right at their centre due to an active galactic nuclei or a compact knot of star formation.
+  - Contents: Dataset Paths, Grid, uv-wavelengths, Simulator, Ray Tracing, Output, Visualize, Tracer json
 - [__Log Likelihood Function: Potential Correction (Interferometer)__](scripts/interferometer/features/advanced/potential_correction/likelihood_function.py): This script provides a step-by-step guide of the **PyAutoLens** visibility-space potential-correction `log_likelihood_function` (the Bayesian evidence of `al.pc.FitDpsiSrcInterferometer`), which jointly inverts `Interferometer` data for a pixelized source and pixelized corrections $\delta\psi$ to the lensing potential.
   - Contents: Simplifications, Prerequisites, Dataset, Source Inversion Blocks, Dpsi Mesh, Correction Response, Joint Response, Dense Route, Sparse (w-tilde) Route, Solve, Dkappa Map, Evidence Terms, Verification, JAX / xp, Wrap Up
 - [Feature: Potential Correction (Gravitational Imaging)](scripts/interferometer/features/advanced/potential_correction/start_here.py): This example performs gravitational imaging on interferometer data: pixelized corrections $\delta\psi$ to the lensing potential are reconstructed jointly with the pixelized source, revealing mass structure (e.g. dark subhaloes) the smooth lens model omits, as a convergence-correction map $\delta\kappa = \frac{1}{2}\nabla^2\delta\psi$.

notebooks/interferometer/features/advanced/README.md

@@ -4,6 +4,7 @@ data using different **PyAutoLens** features.
 The scripts in this folder are advanced, and generally provide more niche functionality which will only be useful
 for specific scientific topics.The following example scripts illustrating lens modeling where:
 
+- `operated_light_profile`: Compact point-source emission (e.g. an AGN) fitted with operated light profiles, whose image-plane shape is specified directly.
 - `shapelets`: The source (or lens) is reconstructed using shapelet basis functions.
 - `potential_correction`: Gravitational imaging — pixelized corrections to the lensing potential reconstructed jointly with the source.
 - `subhalo`: Fitting lens models for dark matter subhalo detection and sensitivity mapping.

notebooks/interferometer/features/advanced/operated_light_profile/README.md

@@ -0,0 +1,20 @@
+The `operated_light_profile` folder contains example scripts showing how to perform analysis of
+`Interferometer` data using operated light profiles, which represent compact point-source emission (e.g. an
+AGN) whose image-plane shape is specified directly.
+
+For interferometer data there is no PSF, so operated light profiles are Fourier transformed to the visibility
+plane like every other light profile — the PSF-bypass behaviour of the imaging examples applies only where a
+PSF exists. Using them keeps a lens model consistent across imaging and interferometer datasets.
+
+# Files
+
+The following example scripts illustrating lens modeling where:
+
+- `modeling`: Lens modeling of an `Interferometer` dataset using operated light profiles.
+- `simulator`: Simulating interferometer data of a strong lens using operated light profiles.
+
+# Results
+
+These scripts only give a brief overview of how to analyse and interpret the results a lens model fit.
+
+A full guide to result analysis is given at `autolens_workspace/*/guides/results`.