54,178 research outputs found

    A case in favor of the N(1700)(3/2)N^*(1700)(3/2^-)

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    Using an interaction extracted from the local hidden gauge Lagrangians, which brings together vector and pseudoscalar mesons, and the coupled channels ρN\rho N (s-wave), πN\pi N (d-wave), πΔ\pi \Delta (s-wave) and πΔ\pi \Delta (d-wave), we look in the region of s=14001850\sqrt s =1400-1850 MeV and we find two resonances dynamically generated by the interaction of these channels, which are naturally associated to the N(1520)(3/2)N^*(1520) (3/2^-) and N(1700)(3/2)N^*(1700) (3/2^-). The N(1700)(3/2)N^*(1700) (3/2^-) appears neatly as a pole in the complex plane. The free parameters of the theory are chosen to fit the πN\pi N (d-wave) data. Both the real and imaginary parts of the πN\pi N amplitude vanish in our approach in the vicinity of this resonance, similarly to what happens in experimental determinations, what makes this signal very weak in this channel. This feature could explain why this resonance does not show up in some experimental analyses, but the situation is analogous to that of the f0(980)f_0(980) resonance, the second scalar meson after the σ(f0(500))\sigma (f_0(500)) in the ππ\pi \pi(d-wave) amplitude. The unitary coupled channel approach followed here, in connection with the experimental data, leads automatically to a pole in the 1700 MeV region and makes this second 3/23/2^- resonance unavoidable

    Combining information from independent sources through confidence distributions

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    This paper develops new methodology, together with related theories, for combining information from independent studies through confidence distributions. A formal definition of a confidence distribution and its asymptotic counterpart (i.e., asymptotic confidence distribution) are given and illustrated in the context of combining information. Two general combination methods are developed: the first along the lines of combining p-values, with some notable differences in regard to optimality of Bahadur type efficiency; the second by multiplying and normalizing confidence densities. The latter approach is inspired by the common approach of multiplying likelihood functions for combining parametric information. The paper also develops adaptive combining methods, with supporting asymptotic theory which should be of practical interest. The key point of the adaptive development is that the methods attempt to combine only the correct information, downweighting or excluding studies containing little or wrong information about the true parameter of interest. The combination methodologies are illustrated in simulated and real data examples with a variety of applications.Comment: Published at http://dx.doi.org/10.1214/009053604000001084 in the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org

    Confidence distribution (CD) -- distribution estimator of a parameter

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    The notion of confidence distribution (CD), an entirely frequentist concept, is in essence a Neymanian interpretation of Fisher's Fiducial distribution. It contains information related to every kind of frequentist inference. In this article, a CD is viewed as a distribution estimator of a parameter. This leads naturally to consideration of the information contained in CD, comparison of CDs and optimal CDs, and connection of the CD concept to the (profile) likelihood function. A formal development of a multiparameter CD is also presented.Comment: Published at http://dx.doi.org/10.1214/074921707000000102 in the IMS Lecture Notes Monograph Series (http://www.imstat.org/publications/lecnotes.htm) by the Institute of Mathematical Statistics (http://www.imstat.org

    The KKˉπK \bar K \pi decay of the f1(1285)f_1(1285) and its nature as a KKˉccK^* \bar K -cc molecule

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    We investigate the decay of f1(1285)πKKˉf_1(1285) \to \pi K \bar K with the assumption that the f1(1285)f_1(1285) is dynamically generated from the KKˉccK^* \bar{K} - cc interaction. In addition to the tree level diagrams that proceed via f1(1285)KKˉccπKKˉf_1(1285) \to K^* \bar{K} - cc \to \pi K \bar K, we take into account also the final state interactions of KKˉKKˉK \bar K \to K \bar K and πKπK\pi K \to \pi K. The partial decay width and mass distributions of f1(1285)πKKˉf_1(1285) \to \pi K \bar K are evaluated. We get a value for the partial decay width which, within errors, is in fair agreement with the experimental result. The contribution from the tree level diagrams is dominant, but the final state interactions have effects in the mass distributions. The predicted mass distributions are significantly different from phase space and tied to the KKˉccK^* \bar{K} - cc nature of the f1(1285)f_1(1285) state.Comment: Published versio
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