“Axial-Vector (Massive) Photon” andp-nMass Difference
نویسندگان
چکیده
منابع مشابه
axial-vector mesons
A previous model where the low-lying axial-vector mesons are dynamically generated, implementing unitarity in coupled channels in the vector-pseudoscalar (V P ) meson interaction, is applied to evaluate the decay widths of the a1(1260) and b1(1235) axial-vector mesons into πγ. Unlike the case of the a1, the b1 radiative decay is systematically underestimated at tree level. In this work we evalu...
متن کاملSymmetries for Vector and Axial - Vector Mesons ∗
We discuss the possible symmetries of the effective lagrangian describing interacting pseudoscalar-, vector-, and axial-vector mesons. Specific choices of the parameters give rise to an [SU(2) ⊗ SU(2)] symmetry. This symmetry can be obtained either á la Georgi, with all states in the spectrum remaining massless, or in a new realization, implying decoupling of the pseudoscalar bosons from degene...
متن کاملAxial Vector Amplitudes, Second Order Fermions, and Standard Model Photon – Neutrino Processes
We present an extension of the string-inspired technique suitable to the calculation of amplitudes and effective Lagrangians involving both vector and axial vector gauge fields. The technique is easily adaptable to problems involving constant external fields. We demonstrate the advantages of the formalism by a calculation of the one-loop vector-axialvector amplitude in a general constant electr...
متن کاملScalar and axial-vector mesons
Almost thirty years ago, Penny G. Estabrooks asked “Where and what are the scalar mesons?” [1]. The first part of her question can now be confidently responded [2]. However, with respect to the “What” many puzzles remain unanswered. Scalar and axial-vector mesons form part of a large family of mesons. Consequently, though it is useful to pay them some extra attention, there is no point in discu...
متن کاملMassive Support Vector Regression
The problem of tolerant data fitting by a nonlinear surface, induced by a kernel-based support vector machine [19], is formulated as a linear program with fewer number of variables than that of other linear programming formulations [17]. A generalization of the linear programming chunking algorithm [1] for arbitrary kernels [10] is implemented for solving problems with very large datasets where...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Progress of Theoretical Physics
سال: 1972
ISSN: 0033-068X
DOI: 10.1143/ptp.47.1450