comment

bpd/likelihood.py

@@ -16,7 +16,7 @@ def shear_loglikelihood_unreduced(
     # assume e_obs.shape == (N, K, 2) where N is number of galaxies, K is samples per galaxy
     # the priors are callables for now on only ellipticities
     # the interim_prior should have been used when obtaining e_obs from the chain (i.e. for now same sigma)
-    # normalizatoin in priors can be ignored for now as alpha is fixed.
+    # normalization in priors can be ignored for now as alpha is fixed.
     _, K, _ = e_post.shape  # (N, K, 2)
 
     e_post_mag = jnp.sqrt(e_post[..., 0] ** 2 + e_post[..., 1] ** 2)