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Add tomographic and 3x2pt covariance realspace measurement #256

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ee0b5d1
implement cosmocov
LisaGoh Jul 10, 2026
e8e0462
ruff check
LisaGoh Jul 10, 2026
0d4a6a6
ruff format
LisaGoh Jul 10, 2026
00a0f6b
ruff format
LisaGoh Jul 10, 2026
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27 changes: 27 additions & 0 deletions scratch/lgoh/cov_config_test.yaml
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Original file line number Diff line number Diff line change
@@ -0,0 +1,27 @@
fiducial:
version: SP_v1.4.6
blind: A
min_sep: 1.0
max_sep: 100.0
nbins: 20
npatch: 30
mock_version: SP_v1.4.6
gaussian: g

probe_3x2pt: wl
glass_mocks:
version: "v0"
seed_range: [1, 350]

covariance:
default_masked: True

tools:
python_executable: /n23data1/n06data/lgoh/scratch/my_env_new/bin/python
onecov_executable: /n23data1/n06data/lgoh/scratch/UNIONS/OneCovariance/covariance.py

SP_v1.4.6:
cov_th:
sigma_e: 0.28, 0.28
n_e: 5.0, 5.0
A: 1000
104 changes: 82 additions & 22 deletions workflow/common.py
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Original file line number Diff line number Diff line change
Expand Up @@ -9,23 +9,27 @@
# fresh tree without clobbering (or silently reusing) prior products.
COSMO_VAL = Path(
os.environ.get(
"COSMO_VAL", "/n17data/cdaley/unions/code/sp_validation/cosmo_val/output"
"COSMO_VAL",
"/n23data1/n06data/lgoh/scratch/UNIONS/sp_validation/results/cosmo_val",

@cailmdaley cailmdaley Jul 11, 2026 •
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Rather than these defaults carrying anyone's personal tree (the old values were Cail's, so this is a fix-the-pattern note, not a revert request): suggest requiring COSMO_VAL / COSMO_INFERENCE / CAT_CONFIG explicitly — env var or config key, loud error if unset — so each of us sets our own and the repo carries nobody's paths. Fine as a small follow-up if you'd rather keep this PR focused.

)
)
COSMO_INFERENCE = Path(
os.environ.get(
"COSMO_INFERENCE", "/n17data/cdaley/unions/code/sp_validation/cosmo_inference"
"COSMO_INFERENCE",
"/n23data1/n06data/lgoh/scratch/UNIONS/sp_validation/cosmo_inference",
)
)
CAT_CONFIG = "/n17data/cdaley/unions/code/sp_validation/cosmo_val/cat_config.yaml"
CAT_CONFIG = (
"/n23data1/n06data/lgoh/scratch/UNIONS/sp_validation/cosmo_val/cat_config.yaml"
)
BLINDS = ["A", "B", "C"]
BLOCK_PAIRS = [("++", "1"), ("--", "2"), ("+-", "3")]

# Fiducial cosmology: Planck 2018 (astropy Planck18, Table 2 + BAO)
# Source of truth: cs_util.cosmo.PLANCK18
# Regenerate with: snakemake results/cosmology/planck18.json
# Resolved relative to the run directory at configure() time.
COSMOLOGY_PARAMS = "results/cosmology/planck18.json"
COSMOLOGY_PARAMS = "/n23data1/n06data/lgoh/scratch/UNIONS/sp_validation/results/cosmology/planck18.json"

@cailmdaley cailmdaley Jul 11, 2026 •
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This one does need to stay relative (independent of the defaults question above): the cosmology_params rule generates this file at the relative path results/cosmology/planck18.json in the run directory, so pointing the constant at an absolute path decouples the reader from the generator — the rule would write one file and everything else would read another.


# Wildcard constraints shared by every Snakefile that composes these rules.
# Patterns must match all expected values; overly restrictive patterns cause
Expand All @@ -37,6 +41,7 @@
"min_sep": r"[0-9.]+",
"max_sep": r"[0-9.]+",
"gaussian": r"(g|ng)",
"probe": r"(wl|ggl|3x2pt)",
"block_pm": r"(\+\+|--|\+-)",
"block_i": r"[123]",
"mask_suffix": r"(_masked)?",
Expand All @@ -46,15 +51,17 @@

FIDUCIAL = None
DEFAULT_MASK_SUFFIX = ""
DEFAULT_PROBE = None
CATALOG_CONFIG = None
PLANCK18 = None


def configure(workflow_config):
"""Install config-derived values after Snakemake has loaded configfiles."""
global CATALOG_CONFIG, DEFAULT_MASK_SUFFIX, FIDUCIAL, PLANCK18
global CATALOG_CONFIG, DEFAULT_MASK_SUFFIX, DEFAULT_PROBE, FIDUCIAL, PLANCK18
CATALOG_CONFIG = workflow_config
FIDUCIAL = workflow_config["fiducial"]
DEFAULT_PROBE = "wl"
DEFAULT_MASK_SUFFIX = (
"_masked" if workflow_config["covariance"].get("default_masked", False) else ""
)
Expand All @@ -76,44 +83,78 @@ def resolve_covariance_version(version):
return version


# Single source of truth for the covariance naming scheme. Rule outputs use
# this with wildcards left in braces; covariance_base() fills concrete values.
# Keep the two in sync by construction: covariance_base() formats this string.
COV_BASE_TEMPLATE = (
"covariance_{version}_{blind}_{gaussian}"
"_minsep={min_sep}_maxsep={max_sep}_nbins={nbins}_{probe}{mask_suffix}"
)


def cov_output(suffix):
"""Wildcard-bearing output path under the covariance tree.

E.g. cov_output(".ini") ->
<COSMO_INFERENCE>/data/covariance/<BASE>/<BASE>.ini
with {version}, {blind}, ... left as Snakemake wildcards.
"""
return str(
COSMO_INFERENCE
/ f"data/covariance/{COV_BASE_TEMPLATE}/{COV_BASE_TEMPLATE}{suffix}"
)


def cov_output_dirfile(filename):
"""Wildcard-bearing path to a fixed-name file inside the covariance dir."""
return str(COSMO_INFERENCE / f"data/covariance/{COV_BASE_TEMPLATE}/{filename}")


def covariance_base(
version,
blind,
gaussian="ng",
gaussian=None,
min_sep=None,
max_sep=None,
nbins=None,
probe=None,
mask_suffix=None,
resolve_version=True,
fiducial=None,
default_mask_suffix=None,
):
"""Construct covariance base name."""
"""Construct covariance base name (concrete values, no wildcards)."""
fiducial = fiducial or FIDUCIAL
gaussian = gaussian if gaussian is not None else fiducial["gaussian"]
min_sep = min_sep if min_sep is not None else fiducial["min_sep"]
max_sep = max_sep if max_sep is not None else fiducial["max_sep"]
nbins = nbins if nbins is not None else fiducial["nbins"]
mask_suffix = (
mask_suffix
if mask_suffix is not None
else (
probe = probe if probe is not None else DEFAULT_PROBE
if mask_suffix is None:
mask_suffix = (
DEFAULT_MASK_SUFFIX if default_mask_suffix is None else default_mask_suffix
)
)
cov_version = resolve_covariance_version(version) if resolve_version else version
return (
f"covariance_{cov_version}_{blind}_{gaussian}"
f"_minsep={min_sep}_maxsep={max_sep}_nbins={nbins}{mask_suffix}"
return COV_BASE_TEMPLATE.format(
version=cov_version,
blind=blind,
gaussian=gaussian,
min_sep=min_sep,
max_sep=max_sep,
nbins=nbins,
probe=probe,
mask_suffix=mask_suffix,
)


def covariance_dir(
version,
blind,
gaussian="ng",
gaussian=None,
min_sep=None,
max_sep=None,
nbins=None,
probe=None,
mask_suffix=None,
resolve_version=True,
):
Expand All @@ -125,6 +166,7 @@ def covariance_dir(
min_sep,
max_sep,
nbins,
probe,
mask_suffix,
resolve_version=resolve_version,
)
Expand All @@ -134,12 +176,13 @@ def covariance_dir(
def covariance_path(
version,
blind,
gaussian="ng",
gaussian=None,
min_sep=None,
max_sep=None,
nbins=None,
probe=None,
mask_suffix=None,
suffix="_processed.txt",
suffix=".dat",
resolve_version=True,
):
"""Construct covariance file path."""
Expand All @@ -150,22 +193,39 @@ def covariance_path(
min_sep,
max_sep,
nbins,
probe,
mask_suffix,
resolve_version=resolve_version,
)
return str(COSMO_INFERENCE / f"data/covariance/{base}/{base}{suffix}")


def build_redshift_path(version, blind):
def build_redshift_dir(version):
"""Construct n(z) filepath for given catalog version and blind."""
base_version = re.sub(r"_leak_corr$", "", version)
base_version = re.sub(r"_ecut\d+", "", base_version)
if "v1.4.11" in base_version:
base_version = "SP_v1.4.6"
version_dir = base_version.replace("SP_", "")
return (
f"/n17data/sguerrini/UNIONS/WL/nz/{version_dir}/nz_{base_version}_{blind}.txt"
)
return f"/n17data/sguerrini/UNIONS/WL/nz/{version_dir}/"


def build_redshift_path_lens(version, blind):
"""Construct n(z) filepath for given catalog version and blind."""
base_version = re.sub(r"_leak_corr$", "", version)
base_version = re.sub(r"_ecut\d+", "", base_version)
if "v1.4.11" in base_version:
base_version = "SP_v1.4.6"
return f"nz_{base_version}_{blind}.txt"


def build_redshift_path_source(version, blind):
"""Construct n(z) filepath for given catalog version and blind."""
base_version = re.sub(r"_leak_corr$", "", version)
base_version = re.sub(r"_ecut\d+", "", base_version)
if "v1.4.11" in base_version:
base_version = "SP_v1.4.6"
return f"nz_{base_version}_{blind}_source.txt" # TO DO: check lens and source file format

@cailmdaley cailmdaley Jul 11, 2026

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Three copies of the same version-normalization regex block now — worth one _nz_base_version(version) helper that the three functions share.

Also a naming/semantics check to resolve with the TO-DO: in the ini, zlens_file gets build_redshift_path_lens (the existing source-galaxy n(z)) and zclust_file gets ..._source.txt. OneCov's zlens is the lensing source sample and zclust the clustering lens sample — so a file suffixed _source feeding zclust reads inverted. If the intent is _lens.txt for the clustering sample, let's fix the suffix before anyone generates files against this convention.

Minor: build_redshift_dir returns a trailing-slash dir which the rule then passes through os.path.dirname, and the _lens/_source helpers return bare filenames that go through os.path.basename. Both round-trips can go — return dir and filenames and use them directly.



def get_shear_catalog(wildcards):
Expand Down
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