Table 2.
Correction factors used in the three analyses conducted in this study.
| Analysis | Npar | Nbins | Nmock | DH | m1 | m2 |
|---|---|---|---|---|---|---|
| CS | 8 | 93 | 1000 | 0.06 | 1.05 | 1.14 |
| FS | 13 | 108 | 1000 | 0.04 | 1.03 | 1.09 |
| JS | 13 | 201 | 1000 | 0.10 | 1.11 | 1.27 |
| JSsep | 18 | 201 | 1000 | 0.10 | 1.10 | 1.26 |
Notes. Here, DH is the Hartlap correction factor for an unbiased precision matrix, m1 adjusts the estimated covariance matrix of the parameters, while m2 scales the variance of the best-fit parameters across a set of mocks. Npar is the total number of parameters fitted, Nbins is the total size of the data vector, and Nmock is the number of mocks used in the estimation of the covariance matrix.
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