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4 changes: 4 additions & 0 deletions llms-full.txt
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Expand Up @@ -121,6 +121,10 @@ AUTO-GENERATED by PyAutoHands — do not edit by hand; regenerate with generate.
- Contents: Prerequisites, Mask, Dataset, Galaxy MGE Basis, Mapping Matrix, Transformed Mapping Matrix ($f$), Data Vector (D), Curvature Matrix (F), Reconstruction (Positive-Negative), Reconstruction (Positive Only), Visibilities Reconstruction, Likelihood Function, Chi Squared, Noise Normalization Term, Calculate The Log Likelihood, Fit, Galaxy Modeling, Wrap Up
- [Modeling Features: Multi Gaussian Expansion (Interferometer)](scripts/interferometer/features/multi_gaussian_expansion/modeling.py): A multi-Gaussian expansion (MGE) decomposes a galaxy's light into ~15-100 Gaussians, where the `intensity` of every Gaussian is solved for via linear algebra using a process called an "inversion" (see the `linear_light_profiles` feature for a full description of this).
- Contents: Advantages & Disadvantages, NUFFT (nufftax), Positive Only Solver, Model, Mask, Dataset, Over Sampling, Search, Analysis, VRAM, Run Time, Result, Wrap Up
- [Modeling Features: Operated Light Profiles (Interferometer)](scripts/interferometer/features/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 very compact knot of star formation.
- Contents: Mask, Dataset, Dataset Auto-Simulation, Over Sampling, Model, Search, Analysis, VRAM, Run Time, Model-Fit, Result
- [Simulator: Operated Light Profiles (Interferometer)](scripts/interferometer/features/operated_light_profile/simulator.py): This script simulates `Interferometer` data of a galaxy using light profiles where:
- Contents: Dataset Paths, Grid, uv-wavelengths, Simulator, Galaxies, Output, Visualize, Galaxies json
- [Features: Pixelization Fit](scripts/interferometer/features/pixelization/fit.py): This script performs a single, direct fit (no non-linear search) of the `clumpy` interferometer dataset — a galaxy with a smooth central bulge plus asymmetric clumpy star formation. The fit uses a pixelization with a rectangular mesh and constant regularization scheme to reconstruct the galaxy's surface brightness on a pixel grid.
- Contents: Advantages, Disadvantages, Positive Only Solver, Mask, Dataset, Dataset Auto-Simulation, Sparse Operators, Settings, Over Sampling, Mesh Shape, Pixelization, Fit, Wrap Up, Linear Objects, Grids, Reconstruction, Mapped Reconstructed Images, Linear Algebra Matrices (Advanced), Evidence Terms (Advanced), Simulated Interferometer, Future Ideas / Contributions
- [Pixelization: Galaxy Reconstruction](scripts/interferometer/features/pixelization/galaxy_reconstruction.py): A common pixelization use-case is to reconstruct a galaxy’s surface brightness on a pixelization mesh, and then export this reconstruction to perform scientific analysis.
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20 changes: 20 additions & 0 deletions notebooks/interferometer/features/operated_light_profile/README.md
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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 galaxy model consistent across imaging and interferometer datasets.

# Files

The following example scripts illustrating galaxy modeling where:

- `modeling`: Galaxy modeling of an `Interferometer` dataset using operated light profiles.
- `simulator`: Simulating interferometer data of a galaxy using operated light profiles.

# Results

These scripts only give a brief overview of how to analyse and interpret the results a galaxy model fit.

A full guide to result analysis is given at `autogalaxy_workspace/*/results`.
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