Closed martinkilbinger closed 1 year ago
Basic directory for tests is candide:/home/mkilbing/astro/Runs/UNIONS/ggl-agn/jobs
.
Test 1: Comparison of three different ways to compute bg - fg correlations.
Runs of compute_ng_binned_samples.py
.
Results in Shen22_and_Liu19_logM_min_7_nz_0_z_0.1_0.8_test_nfg
.
Test 2: For narrow redshift range, compare angular and physical stacking.
Runs in Shen22_and_Liu19_logM_min_7_nz_0_z_0.5_0.8_test_physical
.
Setting:
Test 3: Compare measured g_t to theoretical prediction.
Run in Shen22_and_Liu19_logM_min_7_nz_0_z_0.5_0.8_test_physical
.
Averaging still to check.
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Updated code (commit 9e7d03558abcfeb7ff163ee17512e2885dd45888, https://github.com/CosmoStat/unions-shear-ustc-cea/pull/27/commits/9e7d03558abcfeb7ff163ee17512e2885dd45888) seems to work now.
Averaging in theory.py:gamma_t_theo_phys
now makes sense.
Range estimation of angular from physical coordinates (compute_ng_binned_samples.py:get_theta_min_max
) seems to work now.
Jackknife mean and std agree with sample mean and Poisson.
To create last plot above, re-run ggl_compare_data_theory.py
with --scales=angular
, it will use the meanr
column instead of r_nom
(which in this case are the physical coordinates in Mpc)
Stacking of GGL in physical instead of angular coordinates.