docs(interferometer): add module-level docstrings to interferometer package

Add module-level docstrings to fit_interferometer.py (uv-plane 6-step
lensing fit pipeline via Tracer), model/analysis.py (AnalysisInterferometer:
log_likelihood_function, result, visualizer, position priors), and
simulator.py (SimulatorInterferometer.via_tracer_from pipeline).

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

Author: 2 people

autolens/interferometer/fit_interferometer.py

@@ -1,3 +1,20 @@
+"""
+Interferometer fit class for strong gravitational lens modeling in the uv-plane.
+
+``FitInterferometer`` extends the ``autogalaxy`` ``FitInterferometer`` base class to
+work with a ``Tracer`` instead of a plain ``Galaxies`` collection.  The fit pipeline
+mirrors the imaging analogue but operates entirely in the visibility (uv) domain:
+
+1. Evaluate all light profiles of the tracer galaxies on the (ray-traced) real-space grid.
+2. Apply the Fourier transform (DFT or NUFFT) to map the image to visibilities.
+3. Subtract the predicted visibilities from the observed visibilities.
+4. If the tracer contains linear light profiles or pixelizations, solve for their
+   amplitudes via a linear inversion of the residual visibilities.
+5. Combine direct and inversion visibilities into the ``model_data``.
+6. Compute residuals, chi-squared, and log likelihood (or log evidence).
+
+The ``TracerToInversion`` helper is used to assemble the linear system in step 4.
+"""
 import numpy as np
 from typing import Dict, List, Optional
 

autolens/interferometer/model/analysis.py

@@ -1,3 +1,17 @@
+"""
+Analysis class for fitting a ``Tracer`` lens model to an interferometer dataset.
+
+``AnalysisInterferometer`` implements the ``log_likelihood_function`` called by a
+``PyAutoFit`` non-linear search at each iteration.  It:
+
+1. Constructs a ``Tracer`` from the current model instance.
+2. Optionally applies adaptive galaxy images to linear components.
+3. Calls ``FitInterferometer`` to evaluate the log likelihood in the uv-plane.
+4. Returns the figure of merit (log likelihood or log evidence).
+
+It also manages result output (``ResultInterferometer``), on-the-fly visualisation
+(``VisualizerInterferometer``), and position-based priors via ``PositionsLH``.
+"""
 import logging
 import numpy as np
 from typing import Optional

autolens/interferometer/simulator.py

@@ -1,3 +1,17 @@
+"""
+Interferometer simulator for strong gravitational lens observations.
+
+``SimulatorInterferometer`` extends ``aa.SimulatorInterferometer`` with a
+``via_tracer_from`` method that accepts a ``Tracer`` object and:
+
+1. Uses the tracer's mass profiles to ray-trace the real-space grid to the source plane.
+2. Evaluates the light profiles of all galaxies on the (traced) grid.
+3. Applies the Fourier transform to map the real-space image to complex visibilities.
+4. Adds noise to the visibilities according to the noise-map stored in the simulator.
+
+This is the primary entry point for generating synthetic interferometer datasets for
+testing, validation, and mock-data studies of ALMA or JVLA observations.
+"""
 from typing import List
 
 import autoarray as aa