Table 2.
Correction factors for the three analysis performed in this work.
| Analysis | m1 | m2 | Npar | Nbins | Nmock |
|---|---|---|---|---|---|
| CS | 1.018 | 1.061 | 11 | 40 | 1000 |
| FS | 1.035 | 1.097 | 11 | 56 | 1000 |
| JS | 1.062 | 1.176 | 19 | 96 | 1000 |
Notes. m1 is the factor to be applied to the estimated covariance matrix of the parameters and m2 is the factor that scales the scatter of best-fit parameters of a set of mocks (if these were used in the calculation of the covariance matrix). Nmock is the number of mocks used in the estimation of the covariance matrix, Npar is the total number of parameters fitted and Nbins is the total size of the data vector. The derivation of m1 and m2 can be found in Percival et al. (2014).
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