Reconstructing the shape of the correlation function

K. M. Huffenberger, M. Galeazzi, E. Ursino

Research output: Contribution to journalArticle

Abstract

We develop an estimator for the correlation function which, in the ensemble average, returns the shape of the correlation function, even for signals that have significant correlations on the scale of the survey region. Our estimator is general and works in any number of dimensions. We develop versions of the estimator for both diffuse and discrete signals. As an application, we apply them to Monte Carlo simulations of X-ray background measurements. These include a realistic, spatially inhomogeneous population of spurious detector events. We discuss applying the estimator to the averaging of correlation functions evaluated on several small fields, and to other cosmological applications.

Original languageEnglish (US)
Article number23
JournalAstrophysical Journal, Supplement Series
Volume206
Issue number2
DOIs
StatePublished - Jun 1 2013

Keywords

  • X-rays: diffuse background
  • cosmology: observations
  • galaxies: statistics
  • methods: data analysis
  • methods: numerical
  • methods: statistical

ASJC Scopus subject areas

  • Astronomy and Astrophysics
  • Space and Planetary Science

Fingerprint Dive into the research topics of 'Reconstructing the shape of the correlation function'. Together they form a unique fingerprint.

  • Cite this