Table 2. Open in new tab Fisher matrix...

Table 2.

Fisher matrix results for the uncertainties σ_α and σ_ϵ, as well as the correlation coefficient r_αϵ. Even the Gaussian (unfit) model produces reasonable agreement in these parameters, and the level of agreement improves for the non-Gaussian (fit) models. When we restrict our attention to the BAO parameters, we find that the mock precision matrix is consistent with a noisy realization of our fit models, at least when we are limited to 1000 mocks.

	σ_α	σ_ϵ	r_αϵ	σ_α (noisy)	σ_ϵ (noisy)	r_αϵ (noisy)
C_mock	–	–	–	0.0403	0.0422	0.189
C_G	0.0384	0.0391	0.216	0.0387 ± 0.0011	0.0394 ± 0.0011	0.217 ± 0.038
C_NG(a₁)	0.0400	0.0405	0.203	0.0403 ± 0.0011	0.0409 ± 0.0012	0.204 ± 0.038
C_NG(a₂)	0.0399	0.0404	0.204	0.0401 ± 0.0011	0.0407 ± 0.0011	0.205 ± 0.038

	σ_α	σ_ϵ	r_αϵ	σ_α (noisy)	σ_ϵ (noisy)	r_αϵ (noisy)
C_mock	–	–	–	0.0403	0.0422	0.189
C_G	0.0384	0.0391	0.216	0.0387 ± 0.0011	0.0394 ± 0.0011	0.217 ± 0.038
C_NG(a₁)	0.0400	0.0405	0.203	0.0403 ± 0.0011	0.0409 ± 0.0012	0.204 ± 0.038
C_NG(a₂)	0.0399	0.0404	0.204	0.0401 ± 0.0011	0.0407 ± 0.0011	0.205 ± 0.038

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