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Derive reporting xi means from an exactly nested fine grid - #400
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Validate logarithmic bin-size ratios and edge alignment rather than silently snapping a requested binning. Both shipped paper grids use k=34 and outward-rounded 0.08–300 arcmin coverage (1015 bins); explicit bounds preserve the existing covariance interfaces. Co-Authored-By: GPT-6.1 Sol <noreply@openai.com>
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…nly its covariance Reuse the pure-E/B averaging operator for correlations and separations, sum counts and weights, and supply those canonical means to the shared correlation processor. The reporting workflow job consumes the unpatched fine SACC product, including lossless auxiliary means, before blinding. Co-Authored-By: GPT-6.1 Sol <noreply@openai.com> Co-Authored-By: GPT-6 Luna <noreply@openai.com>
… and the DAG Weighted fine bins reproduce exact direct reporting counts and means; distinct patch layouts leave the published means identical. DAG tests check the fine-to-reporting dependency and use the workflow’s canonical path spelling on automounted disks. Co-Authored-By: GPT-6.1 Sol <noreply@openai.com>
The producer uses arcminutes for both grids; the reference comparison must carry those units rather than default to dimensionless separations. Co-Authored-By: GPT-6.1 Sol <noreply@openai.com>
The production input path is a string; the regression should exercise that same SACC interface. Co-Authored-By: GPT-6.1 Sol <noreply@openai.com>
The pure-E/B plotting path now resolves the configured integration grid through CosmologyValidation's helper. Give the minimal tomography test host that same interface so its slow bin-keyed regression still reaches the statistics step. Co-Authored-By: GPT-6 Luna <noreply@openai.com>
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Reporting ξ± means come from pair-weighted rebinning of one unpatched fine-grid measurement on exactly nested edges. The patched reporting measurement supplies covariance only and uses TreeCorr's default
bin_slop;b_targetgoverns the mean-producing pass.rebin_gg_meansreuses pure-E/B's pair-weight operator (gg.weight) for ξ± and separations; it sums pair counts and weights. The route handles tomographic auto/cross pairs, and the reporting Snakemake job consumes the fine SACC product.bin_slop=1; configuration and consumption reject non-nested edges. COSEBIs and pure-E/B must be regenerated for the changed integration grid.bin_slop=0.036: 0.095σ rms / 0.221σ max (angle_slop=0.01 reference: 0.053σ / 0.131σ). Against the old patched means: 0.299σ / 0.866σ seeded and 0.358σ / 1.119σ saved centres.nested_fine.npz, the default-tolerance covariance-only reporting pass took 3.95 min seeded / 3.76 min saved centres at 8 threads, excluding catalogue loading and patch-centre construction. The earlier fine measurement took 179.6 min once; it was not rerun for this timing.Depends on #399; base is
fix/layout-independent-means. The effect of changingbin_slopon jackknife covariance remains open in #401.The decision record on
assay/decision-recordis not edited: this changes thereal_space.integration_gridValues pins forcosmo_val.integration.{min_sep,max_sep,nbins}andbmodes/config/config.yaml#fiducial.{min_sep_int,max_sep_int,nbins_int}.bmodes.pure_eb_rebinningretainsgrid=integrationand Σw_iw_j (gg.weight).— Luna on behalf of Cail