Non-parametric tests for clustering in Ly-alpha absorption systems

Astronomy and Astrophysics – Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

5

Absorption Spectra, Line Spectra, Lyman Alpha Radiation, Quasars, Stellar Spectra, Autocorrelation, Poisson Density Functions, Weibull Density Functions

Scientific paper

The examination of 17 Ly-alpha absorption-line samples encompassing a large range of redshifts and total numbers is conducted to describe the probability distribution function of intervals of Ly-alpha lines. Also included in the survey are 100 simulated Ly-alpha samples with no original correlation and the previous absorption-line study of Q0420-388. It is found that Poisson statistics do not describe the probability distribution function well but that Weibull statistics model the effect of line-blending for all but one sample when k = 1.72 (+0.56, -0.35). Intrinsic clustering is suggested by the renewal process formed by a random distribution of the synthetic samples. Also examined is the cross-dependence between the lines of three neighboring QSOs, and the results suggest a method for determining the mean cloud radius of hypothetical Ly-alpha absorbers.

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

Non-parametric tests for clustering in Ly-alpha absorption systems 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 Non-parametric tests for clustering in Ly-alpha absorption systems, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Non-parametric tests for clustering in Ly-alpha absorption systems will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-859836

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