PolyChord settings applied in all the tests performed in this paper. nDims = nforeground + nsignal + 1 is the dimensionality of the model, where nforeground is the number of regions, set to 9 in this paper, and nsignal is the number of parameters used in the signal model. The final parameter is the uncorrelated Gaussian noise, σn.
| Parameter . | Setting . |
|---|---|
| nlive | nDims * 25 |
| nrepeats | nDims * 5 |
| nprior | nDims * 25 |
| nfail | nDims * 25 |
| Do clustering | True |
| Precision criterion | 0.001 |
| Parameter . | Setting . |
|---|---|
| nlive | nDims * 25 |
| nrepeats | nDims * 5 |
| nprior | nDims * 25 |
| nfail | nDims * 25 |
| Do clustering | True |
| Precision criterion | 0.001 |
PolyChord settings applied in all the tests performed in this paper. nDims = nforeground + nsignal + 1 is the dimensionality of the model, where nforeground is the number of regions, set to 9 in this paper, and nsignal is the number of parameters used in the signal model. The final parameter is the uncorrelated Gaussian noise, σn.
| Parameter . | Setting . |
|---|---|
| nlive | nDims * 25 |
| nrepeats | nDims * 5 |
| nprior | nDims * 25 |
| nfail | nDims * 25 |
| Do clustering | True |
| Precision criterion | 0.001 |
| Parameter . | Setting . |
|---|---|
| nlive | nDims * 25 |
| nrepeats | nDims * 5 |
| nprior | nDims * 25 |
| nfail | nDims * 25 |
| Do clustering | True |
| Precision criterion | 0.001 |
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