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Scattering synthesis on cosmological LSS map confirms generalisation of Delouis 2022
https://w3id.org/sciencelive/np/RAmEYMywIv9uDQPHuvPcPLEONpl7Et4M9hikmvDrRdVG0/delouis-2022-lss-replication-outcome
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The replication supports the generalisation claim of Delouis et al. 2022 — that the scattering-transform framework on the HEALPix sphere applies beyond Planck dust polarisation to other astrophysical processes. Using the authors' own FOSCAT software, scattering synthesis from random noise produces a new cosmological large-scale-structure map whose multi-scale statistics match those of the target input. The framework generalises, at least to one additional astrophysical case.
https://w3id.org/sciencelive/np/RAmEYMywIv9uDQPHuvPcPLEONpl7Et4M9hikmvDrRdVG0/delouis-2022-lss-replication-outcome
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Scattering-transform synthesis applied to a cosmological LSS map (LSS_map_nside128.npy from FOSCAT_DEMO, downgraded to nside=32) starting from random noise, 300 L-BFGS iterations, NORIENT=4, KERNELSZ=3, on CPU (143 seconds, Apple M1 Pro):
- Power spectrum ratio (synthesised / target, mean across multipoles): 0.987 — close to the ideal 1.0
- Scattering coefficient improvement: 99.55% — synthesis converges to near-target scattering statistics
- Pixel-level correlation (synthesised vs target): −0.0038 — close to zero, as expected when the synthesis produces a new realisation rather than copying
- Distributional match: target mean ≈ 0, std = 0.739; synthesised mean ≈ 0, std = 0.746 — distributions match to within rounding
Full results JSON and figure archived at Zenodo 10.5281/zenodo.19685025.
Github repository: https://github.com/annefou/fiesta-scattering-astro
https://w3id.org/sciencelive/np/RAmEYMywIv9uDQPHuvPcPLEONpl7Et4M9hikmvDrRdVG0/delouis-2022-lss-replication-outcome
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Three caveats limit the strength of the conclusion:
1. Single realisation. The synthesis was run once with a fixed random seed; no variance estimate across multiple realisations is available.
2. Lower resolution than the paper. This study runs at nside=32 (12,288 pixels) for CPU compatibility; the original paper uses nside=256.
3. Demonstration-grade input data. The cosmological LSS map is a single demo artefact distributed in the FOSCAT_DEMO repository, not a peer-reviewed scientific dataset, and it is not the data the original paper is about (Planck 353 GHz dust polarisation). A future study could test the framework on multiple peer-reviewed astrophysical datasets at the paper's native resolution to strengthen the generalisation evidence.
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Anne Fouilloux
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