Maximum likelihood analysis of the first KamLAND results

dc.creatorIanni, A.
dc.date2003-02-25
dc.date2003-02-26
dc.date.accessioned2026-07-07T10:48:43Z
dc.date.available2026-07-07T10:48:43Z
dc.descriptionA maximum likelihood approach has been used to analize the first results from KamLAND emphasizing the application of this method for low statistics samples. The goodness of fit has been determined exploiting a simple Monte Carlo approach in order to test two different null hytpotheses. It turns out that with the present statistics the neutrino oscillation hypothesis has a significance of about 90% (the best-fit for the oscillation parameters from KamLAND are found to be: $δm_{12}^2 \sim 7.1 \times 10^{-5}$ eV$^2$ and $\sin^2 θ_{12} = 0.424/0.576$), while the no-oscillation hypothesis of about 50%. Through the likelihood ratio the hypothesis of no disappearence is rejected at about 99.9% C.L. with the present data from the positron spectrum. A comparison with other analyses is presented.
dc.description14 pages, 5 figures
dc.identifierhttps://arxiv.org/abs/hep-ph/0302230
dc.identifierhttp://arxiv.org/abs/hep-ph/0302230
dc.identifierJ.Phys.G29:2107-2114,2003
dc.identifierdoi:10.1088/0954-3899/29/9/306
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/183978
dc.subjectHigh Energy Physics - Phenomenology
dc.titleMaximum likelihood analysis of the first KamLAND results
dc.typetext

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