Skip to content

forced lssweights to use QPNOfZFile class #435

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
joezuntz merged 2 commits into from
Jan 16, 2026
Merged

forced lssweights to use QPNOfZFile class #435

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
513b139
forced lssweights to use QPNOfZFile class
elvinpoole Dec 16, 2025
0d32cdf
edited comments
elvinpoole Dec 16, 2025
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
11 changes: 6 additions & 5 deletions txpipe/lssweights.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -7,6 +7,7 @@
FileCollection,
FiducialCosmology,
TomographyCatalog,
QPNOfZFile,
)
import numpy as np
import glob
Expand Down Expand Up @@ -358,7 +359,7 @@ class TXLSSDensityNullTests(TXLSSDensityBase):
TomographyCatalog,
), # this file is used by the stage to compute density correlations
("mask", MapsFile),
("lens_photoz_stack", HDFFile), # Photoz stack (need if using theory curve in covariance)
("lens_photoz_stack", QPNOfZFile), # Photoz stack (need if using theory curve in covariance)
(
"fiducial_cosmology",
FiducialCosmology,
Expand Down Expand Up @@ -699,11 +700,11 @@ def calc_covariance_sample_variance(self, density_correlation, sys_maps, diag_bl

def load_tracer(self, tomobin):
"""
Load the N(z) and convert to sacc tracers (lenses only)
We need this to compute the theory guess
for the SV term
Load the N(z) (lenses only)
We need this to compute the theory estimate
in the SV term in the 1d covariance
"""
with self.open_input("lens_photoz_stack") as f_lens:
with self.open_input("lens_photoz_stack", wrapper=True) as f_lens:
z, nz = f_lens.get_bin_n_of_z(tomobin)
return z, nz

Expand Down