fix: use dynamic shape for cl_noise array in pseudo-Cl calculation

cl_noise was hardcoded to (4, n_ell_bins) which breaks for linear
binning where the number of bins differs from n_ell_bins. Use
zeros_like(cl_shear) to match the actual output shape.

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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

Author: cailmdaley

src/sp_validation/cosmo_val.py

@@ -2926,7 +2926,7 @@ def calculate_pseudo_cl_map(self, ver, nside, out_path):
 
         ell_eff, cl_shear, wsp = self.get_pseudo_cls_map(shear_map)
 
-        cl_noise = np.zeros((4, self.n_ell_bins))
+        cl_noise = np.zeros_like(cl_shear)
 
         for i in range(self.nrandom_cell):