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sacc_io: SACC read/write layer for the standard data-product layout #245

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Merged
cailmdaley merged 14 commits into from
Jul 21, 2026
Merged

sacc_io: SACC read/write layer for the standard data-product layout #245

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7d1208b
feat(sacc_io): SACC read/write for the standard data-product layout
cailmdaley Jul 10, 2026
16e9c30
fix(sacc_io): enforce ascending grids; readers in insertion order
cailmdaley Jul 10, 2026
7eb8595
One SACC file per catalogue version: fine xi rides as grid='fine' points
cailmdaley Jul 10, 2026
85771ba
Word fine-block covariance source tool-agnostically (OneCovariance go…
cailmdaley Jul 11, 2026
9b7e787
feat(sacc_io): type=data|mock stamp with fail-closed load; merge + up…
cailmdaley Jul 15, 2026
87b3598
Address review: rename grid values to reporting/integration; clarify …
cailmdaley Jul 16, 2026
4489dd4
Simplify sacc_io writers/readers and test builders
cailmdaley Jul 16, 2026
8bd3817
fix(sacc_io): fail loud on unmatched selections; merge/update guards
cailmdaley Jul 16, 2026
3abb566
sacc_io: guard merge() against inconsistent theta grids
cailmdaley Jul 18, 2026
2da8c10
sacc_io: extend merge guard to ell grids and bandpower windows; tag p…
cailmdaley Jul 18, 2026
01fa5eb
Store covariance block-diagonally in assemble_covariance
cailmdaley Jul 21, 2026
b131ae7
Unify pure-EB integration-grid default to 1000 bins
cailmdaley Jul 21, 2026
df28f42
sacc_io: make optional statistic components genuinely optional
cailmdaley Jul 21, 2026
da9a90a
cosmo_val config: align COSEBIs integration grid with the 1000-bin de…
cailmdaley Jul 21, 2026
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2 changes: 1 addition & 1 deletion papers/cosmo_val/config/config.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -68,7 +68,7 @@ cosmo_val:
cosebis:
min_sep_int: 0.9
max_sep_int: 300
nbins_int: 2000
nbins_int: 1000
npatch: 100
nmodes: 20
scale_cuts: [
Expand Down
8 changes: 4 additions & 4 deletions src/sp_validation/cosmo_val/pure_eb.py
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Original file line number Diff line number Diff line change
Expand Up @@ -27,7 +27,7 @@ def calculate_pure_eb(
nbins=None,
min_sep_int=0.08,
max_sep_int=300,
nbins_int=100,
nbins_int=1000,
npatch=256,
var_method="jackknife",
cov_path_int=None,
Expand Down Expand Up @@ -57,7 +57,7 @@ def calculate_pure_eb(
max_sep_int : float, optional
Maximum separation for the integration binning. Defaults to 300.
nbins_int : int, optional
Number of bins for the integration binning. Defaults to 100.
Number of bins for the integration binning. Defaults to 1000.
npatch : int, optional
Number of patches for the jackknife or bootstrap resampling. Defaults to
the value in self.npatch if not provided.
Expand Down Expand Up @@ -143,7 +143,7 @@ def plot_pure_eb(
nbins=None,
min_sep_int=0.08,
max_sep_int=300,
nbins_int=100,
nbins_int=1000,
npatch=None,
var_method="jackknife",
cov_path_int=None,
Expand Down Expand Up @@ -175,7 +175,7 @@ def plot_pure_eb(
Binning parameters for reporting scale. Uses treecorr_config if None.
min_sep_int, max_sep_int, nbins_int : float, float, int
Binning parameters for integration scale
(default: 0.08-300 arcmin, 100 bins)
(default: 0.08-300 arcmin, 1000 bins)
npatch : int, optional
Number of patches for jackknife covariance. Uses self.npatch if None.
var_method : str
Expand Down
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