v0.10.0.md

@@ -147,6 +147,8 @@ Meaning now assertion errors are raised.
 
 ## Test
 
+Below we test that the summary printed for a `LALInference` file shows the correct information,
+
 ```python
 >>> from pesummary.io import read
 >>> f = read("EXP13.hdf5")
@@ -181,4 +183,38 @@ nsamples: 8020
 parameters: H1_matched_filter_abs_snr, H1_matched_filter_snr_angle, ..., chain_log_noise_evidence, chain_log_bayes_factor
 ```
 
-# Reviewer comments
+## Reviewer comments
\ No newline at end of file
+
+# Converted parameters
+
+## Related MRs
+
+* https://git.ligo.org/lscsoft/pesummary/-/merge_requests/440
+
+## Test
+
+To confirm that the list of `converted_parameters` is correct, we generate a file containing only `mass_1` and `mass_2` samples, and check that the list of `converted_parameters` contains `chirp_mass, test_mass, ...`
+
+```python
+from pesummary.io import read, write
+import numpy as np
+
+mass_1 = np.random.uniform(5, 100, 100)
+mass_2 = np.random.uniform(2, mass_1, 100)
+write(["mass_1", "mass_2"], np.array([mass_1, mass_2]).T, file_format="dat", filename="output.dat")
+f = read("output.dat")
+2020-11-20  11:48:36 PESummary WARNING : Failed to find 'log_likelihood' in result file. Setting every sample to have log_likelihood 0
+f.parameters
+['mass_1', 'mass_2', 'log_likelihood']
+f.converted_parameters
+[]
+
+f.generate_all_posterior_samples()
+2020-11-20  11:48:54 PESummary WARNING : Could not find reference_frequency in input file. Using 20Hz as default
+f.parameters
+['mass_1', 'mass_2', 'log_likelihood', 'mass_ratio', 'inverted_mass_ratio', 'total_mass', 'chirp_mass', 'symmetric_mass_ratio']
+f.converted_parameters
+['mass_ratio', 'inverted_mass_ratio', 'total_mass', 'chirp_mass', 'symmetric_mass_ratio']
+```
+
+## Reviewer comments
\ No newline at end of file