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Figure 1:
Acoustic oscillations in the CMB ( upper panel) and linear matter power spectrum ( lower panel) for the "concordance'' cosmological model. Here, as we have plotted the spectra against spatial wavenumber k, we have changed the standard notation of ![]() |
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Figure 2: Comoving number density of galaxies as a function of comoving distance. Smooth solid line shows a cubic spline fit to the number density estimated for 50 discrete radial bins. |
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Figure 3:
Angular distribution of galaxies given in the SDSS survey coordinates
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Figure 4:
Power spectrum of the SDSS LRG sample with the bin width
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Figure 5:
Power spectrum of the SDSS LRG sample with the bin width
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Figure 6: The comparison of the different power spectrum error estimates. For clarity slight relative shifts of the data points have been applied. The errorbars resulting from the 1st method are the rightmost ones and the ones from the 3rd method are displayed in the middle. The lines show cubic spline fits to the data points. The solid line corresponds to the case when all the available galaxy data is used to find the angular mask of the survey, while the dashed line represents the case when LRGs only are used for this purpose. |
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Figure 7: Covariance ( left column) and correlation matrices ( right column). Top row represents the results from the FKP prescription (see Eq. (18)) and the middle row the ones from 1000 mock catalogs. The last row displays the nonlinear contribution due to the 1-halo term. |
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Figure 8:
Isotropized survey window. Here the normalization is taken such that |W(0)|=1. The light gray stripe marks the region where the window is above ![]() |
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Figure 9:
3D survey window embedded in a box with a side length of
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Figure 10:
Coupling kernels
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Figure 11:
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Figure 12: Upper panel: power spectrum from Fig. 5 divided by the best fitting "smoothed'' spectrum. Solid line shows a cubic spline fit to the data points and long-dashed line corresponds to the best "wiggly'' model. The short-dashed line represents the most favorable fit from the parametric family of Eq. (28). Lower panel: various input power spectra used to calculate the two-point correlation function. The dashed line is the cubic spline fit from the upper panel. The solid lines represent a transition sequence from the best fitting "wiggly'' model to the best "smoothed'' model. In each step we have erased more oscillatory features. For clarity slight vertical shifts have been introduced. |
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Figure 13: Left panel: two-point correlation functions as determined in this paper (circles with solid lines) and by Eisenstein et al. (2005). Right panel: correlation functions corresponding to the models shown in the lower panel of Fig. 12 in comparison to the one obtained directly from the data. Here all the data points have been lowered by 0.0035. |
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Figure 14: The comparison of spectra from different surveys. |
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Figure 15: The same as Fig. 14 with the errorbars omitted. |
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Figure B.2:
The power spectrum of ![]() |