Nearest neighbor vector analysis of sdss dr5 galaxy distribution

TL;DR

This paper analyzes galaxy distribution using nearest neighbor distances in SDSS DR5, revealing stronger clustering in observed data compared to random samples and exploring the relationship between NND direction and magnitude.

Contribution

It introduces a detailed NND analysis of SDSS DR5 galaxies, comparing observed, mock, and random samples to uncover clustering characteristics and directional relationships.

Findings

Observed galaxies show stronger aggregation than random samples.

NND direction correlates with NND size in observed data.

Differences between observed and mock samples are discussed.

Abstract

We present the Nearest Neighbor Distance (NND) analysis of SDSS DR5 galaxies. We give NND results for observed, mock and random sample, and discuss the differences. We find that the observed sample gives us a significantly stronger aggregation characteristic than the random samples. Moreover, we investigate the direction of NND and find that the direction has close relation with the size of the NND for the observed sample.