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Kazin et al. (arXiv:1401.0358): our implementation of the inverse covariance matrix is given by $$C^{-1}_{new} = \frac{1}{r_s^{\text{fid}}} C^{-1},$$ where $r_s^{\text{fid}} = 148.6$ and $C^{-1}$ is given in table 4. This modification is due the fact that we are using $D_V(z)/r_s(z_d)$ instead of $D_V(z)* r_s^{\text{fid}}/r_s(z_d)$. Analogously, we implemented $D_V(z) / r_s(z_d) = [1716.4, 2220.8, 2516.1] / 148.6 = [11.550, 14.945, 16.932]$.
NcDataBaoRDV *
nc_data_bao_rdv_new_from_file (const gchar *filename
);
Creates a new NcDataBaoRDV from filename
.
NcDataBaoRDV * nc_data_bao_rdv_new_from_id (NcDistance *dist
,NcDataBaoId id
);
void nc_data_bao_rdv_set_dist (NcDataBaoRDV *bao_rdv
,NcDistance *dist
);
Sets the distance object.
“is-rDV”
property“is-rDV” gboolean
Whether the format is r/DV or DV/r.
Owner: NcDataBaoRDV
Flags: Read / Write / Construct
Default value: TRUE