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- W4323312076 endingPage "44" @default.
- W4323312076 startingPage "44" @default.
- W4323312076 abstract "We present a smoothed density-corrected $V_{rm max}$ technique for building a random catalog for property-dependent galaxy clustering estimation. This approach is essentially based on the density-corrected $V_{rm max}$ method of Cole(2011), with three improvements to the original method. To validate the improved method, we generate two sets of flux-limited samples from two independent mock catalogs with different $k+e$ corrections. By comparing the two-point correlation functions, our results demonstrate that the random catalog created by the smoothed density-corrected $V_{rm max}$ approach provides a more accurate and precise measurement for both sets of mock samples than the commonly used $V_{rm max}$ method and redshift shuffled method. For flux-limited samples and color-dependent subsamples, the accuracy for the projected correlation function is well constrained within $1%$ on the scale $0.07 h^{-1}rm Mpc - 30 h^{-1}rm Mpc$. The accuracy of the redshift-space correlation function is less than $2%$ as well. Currently, it is the only approach that holds promise for achieving the goal of high-accuracy clustering measures for next-generation surveys." @default.
- W4323312076 created "2023-03-07" @default.
- W4323312076 creator A5029115319 @default.
- W4323312076 creator A5079899832 @default.
- W4323312076 date "2023-03-01" @default.
- W4323312076 modified "2023-10-18" @default.
- W4323312076 title "Toward Accurate Measurement of Property-dependent Galaxy Clustering. II. Tests of the Smoothed Density-corrected V <sub>max</sub> Method" @default.
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