Numerical Likelihood Analysis of Cosmic Ray Anisotropies
Astrophysics
2007-05-23 v1
Abstract
A numerical likelihood approach to the determination of cosmic ray anisotropies is presented which offers many advantages over other approaches. It allows a wide range of statistically meaningful hypotheses to be compared even when full sky coverage is unavailable, can be readily extended in order to include measurement errors, and makes maximum unbiased use of all available information.
Cite
@article{arxiv.astro-ph/0305206,
title = {Numerical Likelihood Analysis of Cosmic Ray Anisotropies},
author = {Carlos Hojvat and Thomas P. McCauley and Stephen Reucroft and John D. Swain},
journal= {arXiv preprint arXiv:astro-ph/0305206},
year = {2007}
}
Comments
To be published in the Proceedings of the 28th International Cosmic Ray Conference http://www.icrr.u-tokyo.ac.jp/icrc2003/