This directory includes results for the agnostic model. Three analyses were 
performed using different numbers of frequency bins from the PTA analysis.
The results are included in directories: nFreq3, nFreq5, and nFreq9 for 
analyses using 3, 5, and 9 frequency bins respectively. 

Note that the 9 frequency bin results were used as final results in the 
EPTA paper. 

Within each analysis directory there are three posterior files - the 
analysis was run three times and the posteriors were combined to produce 
the paper figures. 

This is the data behind the plot for Figure A2 in the EPTA DR2 paper IV 
 	(https://doi.org/10.1051/0004-6361/202347433)

The column headers in each posterior file are: 

| Code parameter | Description          |
| --------       | -------                          |
| logn           | log of the merger rate per unite rest-frame time, comoving volume and logaritmic chirp mass interval |
| beta           | the slope of the redshift distribution of sources       |
| gamma          | the cut-off of the redshift distribution of sources     |
| alpha          | the slope of the chirp mass distribution of sources     |
| delta          | the cut-off of the chirp mass distribution of sources   |
| logL           | the log likelihood for the parameter combination        |
| logPrior       | the log prior for the parameter combination             |   

Note that the parameters and labels listed above differ slightly from those used 
in the paper. The translation is: 

| Code parameter | Equivalent in the paper          |
| --------       | -------                          |
| logn           | log_{10} {\dot n}_{\rm 0}        |
| beta           | \beta_{\rm z}                    |
| gamma          |  z_{\rm 0}                       |
| alpha          | \alpha_{\rm M}                   |
| delta          | log_{10} \mathcal{M}_{\star} - 7 | 

For further information about this model see Section 3.2.1 in EPTA DR2 paper IV 
(eqn. 10).

To make a corner plot of these results, use the script at:
 plotting/agn_corner.py 
