A Robust Estimator of the Small-Scale Galaxy CorrelationFunction
We present a new estimator, {omega}, of the small-scale galaxy correlation function that is robust against the effects of redshift-space distortions and large-scale structures. The estimator is a weighted integral of the redshift space or angular correlation function and is a convolution of the real-space correlation function with a localized filter. This allows a direct comparison with theory, without modeling redshift-space distortions and the large-scale correlation function. This has a number of advantages over the more traditional w{sub p} estimator, including (1) an insensitivity to large-scale structures and the details of the truncation of the line-of-sight integral, (2) a well-localized kernel in {zeta}(r) and (3) being unbinned. We discuss how this estimator would be used in practice, applying it to a sample of mock galaxies selected from the Millennium simulation.
- Research Organization:
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- DE-AC02-05CH11231
- OSTI ID:
- 928010
- Report Number(s):
- LBNL-62026; MNRAA4; R&D Project: PHFNP; BnR: 400409900; TRN: US200816%%979
- Journal Information:
- Monthly Notices of the Royal AstronomicalSociety, Vol. 376, Issue 4; Related Information: Journal Publication Date: 04/2007; ISSN 0035-8711
- Country of Publication:
- United States
- Language:
- English
Similar Records
2D k -th nearest neighbour statistics: a highly informative probe of galaxy clustering
A Robust and Efficient Deep Learning Method for Dynamical Mass Measurements of Galaxy Clusters