Fix detector_frame_to_source_frame to use passed parameters instead of nonexistent self.parameters

[Copilot]

Line 97 in cosmo_models.py references self.parameters which doesn't exist, causing failures when using parametrized cosmologies (FlatwCDM, FlatLambdaCDM). The method signature accepts **parameters but wasn't using them.

Changes

• cosmo_models.py:97: Changed self.cosmology(self.parameters) → self.cosmology(parameters)
• cosmo_models.py:75: Fixed docstring typo "sourece" → "source"
• cosmo_models.py:105: Improved error message clarity
• test/cosmo_test.py: Added 16 tests covering all cosmology models, parameter passing, and edge cases

Impact

Before this fix, calling detector_frame_to_source_frame with FlatwCDM or FlatLambdaCDM would fail:

mixin = CosmoMixin(cosmo_model="FlatwCDM")
data = {"luminosity_distance": np.array([400.0, 800.0])}
# This would fail with AttributeError: 'CosmoMixin' object has no attribute 'parameters'
samples, jacobian = mixin.detector_frame_to_source_frame(data, H0=70, Om0=0.3, w0=-1.0)

Now works correctly with passed parameters used for cosmology calculations.

Original prompt

On cosmo_models.py:97-97, This line should use the parameters passed as inputs to this method. Make this change and add tests for this code.

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[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 90.74%. Comparing base (bf5e40a) to head (7d72339).
⚠️ Report is 1 commits behind head on main.

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #134      +/-   ##
==========================================
+ Coverage   88.64%   90.74%   +2.09%     
==========================================
  Files          14       14              
  Lines         907      907              
==========================================
+ Hits          804      823      +19     
+ Misses        103       84      -19     

Flag	Coverage Δ
python3.10	90.74% <100.00%> (+2.09%)	⬆️
python3.11	90.74% <100.00%> (+2.09%)	⬆️
python3.12	90.74% <100.00%> (+2.09%)	⬆️
python3.13	90.74% <100.00%> (+2.09%)	⬆️

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