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perf: NumPy/scipy application path for InterferometerSparseOperator (xp=np never imports JAX) #544

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Merged
Jammy2211 merged 1 commit into from
Sep 8, 2026
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perf: NumPy/scipy application path for InterferometerSparseOperator (xp=np never imports JAX) #544

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4 changes: 4 additions & 0 deletions autoarray/dataset/interferometer/dataset.py
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Original file line number Diff line number Diff line change
Expand Up @@ -249,6 +249,10 @@ def apply_sparse_operator(
and is used automatically by `FitInterferometer` when performing pixelized reconstructions via
the inversion module.

The backend the operator is *applied* with follows the inversion's `xp` (NumPy/scipy for
`xp=np`, JAX for `xp=jnp`); `use_jax` below only selects which brute-force builder computes
the preload, and never puts JAX on a NumPy fit's application path.

The default builder (`method="nufft"`) computes the precision operator as a type-1 NUFFT, so
it costs `O(N_vis * nspread^2 + M log M)` for `M = 4 * Ny * Nx` — seconds even at a million
visibilities. The brute-force builders (`method="numpy"` / `"jax"`) are `O(N_vis * N_pix)`
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