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Table 3.

Predictions for the variance of the covariance estimate, based on the covariance of covariance for PINOCCHIO mocks.

Cost iFoM

M Δr Smp LC Smp LC Smp LC Ratio
10 1 31 7 1.151 1.852 35.7 13.0 2.8
2 1.124 1.582 34.8 11.1 3.1
5 1.106 1.400 34.3 9.8 3.5
10 1.102 1.328 34.2 9.3 3.7
20 1.102 1.283 34.1 9.0 3.8

20 1 61 7 1.082 1.871 66.0 13.1 5.0
2 1.076 1.591 65.6 11.1 5.9
5 1.073 1.404 65.5 9.8 6.7
10 1.076 1.331 65.7 9.3 7.0
20 1.081 1.284 65.9 9.0 7.3

50 1 151 7 1.041 1.883 157 13.1 11.9
2 1.048 1.597 158 11.1 14.1
5 1.054 1.407 159 9.8 16.2
10 1.061 1.332 160 9.3 17.2
20 1.068 1.285 161 9.0 17.9

100 1 301 7 1.028 1.887 309 13.2 23.4
2 1.038 1.599 313 11.2 27.9
5 1.048 1.408 315 9.9 32.0
10 1.056 1.333 318 9.3 34.1
20 1.064 1.286 320 9.0 35.6

Notes. Sample covariance (Smp) and LC covariance with Ma = 1 are compared. The columns are: size of random catalog, parametrized as M = Nr/Nd; bin size Δr in units of h−1 Mpc; computational cost of pair counting per realization, in units of the pair count cost of the data catalog; , variance of the covariance estimate per bin for N = 2 realizations and for distance scales 20–200 h−1 Mpc; inverse figure-of-merit, product of and computational cost; ratio of sample-covariance iFoM to that of the LC.

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