Diagrammatic Methods in Statistics and Biasing in the Large-scale Structure of the Universe

Astronomy and Astrophysics – Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

40 pages + 13 figures (uuencoded postscript)

Scientific paper

10.1086/192231

We develop technique concerning statistical analyses of the large-scale structure of the universe in the presence of biasing in the structure formation. We formulate the diagrammatic method to calculate the correlation functions of the nonlocally biased field from a generally non-Gaussian density field. Our method is based on generalized Wiener-Hermite expansion of the density field. The present formalism has not only general applicability, but also practical significance, too. To show the effectiveness of this method, we revisit the problems on biasing that have been considered previously, i.e., various approximations for peak statistics and hierarchical structure of correlation functions of locally biased field. Further analyses which have not been possible so far on these problems can be performed by our formalism. The gravitational evolution of primordial fluctuation or other structure-forming processes can be described by nonlocal biasing, so can be treated by our new formalism in principle.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Diagrammatic Methods in Statistics and Biasing in the Large-scale Structure of the Universe does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Diagrammatic Methods in Statistics and Biasing in the Large-scale Structure of the Universe, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Diagrammatic Methods in Statistics and Biasing in the Large-scale Structure of the Universe will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-573152

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.