Imaging and Combination

This page describes ALMASim’s image-domain products and deconvolution workflow.

Location

Imaging code lives in src/almasim/services/imaging.

Current Imaging Products

ALMASim can produce:

interferometric image cubes
total-power image cubes
TP+INT combined image cubes

These are built by build_image_products() in reconstruction.py.

Deterministic Reconstruction

The current deterministic image-domain tools include:

Wiener-style deconvolution
TP/INT feather-style merging
cube regridding
cube-to-image previews

CLEAN-Style Deconvolution

ALMASim also provides iterative CLEAN-style deconvolution.

Current behavior:

operates per spectral slice
supports resumable state
distinguishes:
- component model
- restored cube
- residual cube
- clean-beam-convolved reference

Edge Handling

The current CLEAN implementation pads slices before deconvolution and crops afterward, so edge and corner sources are handled more robustly than before.

Frontend Pages

The frontend exposes:

Combination page for TP/INT comparison products
Imaging page for deconvolution workflows
Visualizer page for general product inspection

Example

The example CLI in examples/imaging_cli.py generates synthetic imaging products and validates that the reconstruction improves on the dirty cube.