Numerical Likelihood Analysis of Cosmic Ray Anisotropies
C. Hojvat, T. McCauley, Stephen Reucroft, J.D. Swain
Abstract
Open-access reader
C. Hojvat, T. McCauley, Stephen Reucroft, J.D. Swain
Abstract
Open-access reader
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.
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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.
Key concepts: Sky, Anisotropy, Range (aeronautics), COSMIC cancer database, Statistical physics, Astrophysics, Cosmic ray, Maximum likelihood