MCMC SAMPLING IN THE GLOBAL ANALYSIS OF SOLAR AND REACTOR NEUTRINO DATA.

Authors :: LIU, W.
LI, Y. F.
LIU, Q. Y.
Source :: International Journal of Modern Physics A: Particles & Fields; Gravitation; Cosmology; Nuclear Physics. Jan2013, Vol. 28 Issue 1, p-1. 9p. 1 Chart, 2 Graphs.
Publication Year :: 2013
Abstract: We present a global analysis of latest solar and reactor neutrino data in the three-neutrino mixing scheme by using both the simple grid scanning and the Markov Chain Monte Carlo (MCMC) sampling methods. Accuracy and efficiency of the two sampling methods are compared and advantages of the latter are discussed. The fitting results of three oscillation parameters θ12, θ13 and are provided with both old and new evaluations of the reactor antineutrino flux. Possible correlation between the fitting parameters is also discussed. [ABSTRACT FROM AUTHOR]

Subjects :: *MARKOV chain Monte Carlo
*STATISTICAL sampling
*NEUTRINOS
*OSCILLATIONS
*SOLAR activity
*NUCLEAR reactors
*GLOBAL analysis (Mathematics)
*DATA analysis

Language :: English
ISSN :: 0217751X
Volume :: 28
Issue :: 1
Database :: Academic Search Index
Journal :: International Journal of Modern Physics A: Particles & Fields; Gravitation; Cosmology; Nuclear Physics
Publication Type :: Academic Journal
Accession number :: 84766382
Full Text :: https://doi.org/10.1142/S0217751X1350005X