Covariant Classification of q q bar-Meson Systems and Existence of New Scalar and Axial-Vector Mesons

Physics – High Energy Physics – High Energy Physics - Phenomenology

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

6 pages, 1 eps figure, uses elsart.sty proceedings of Int. Conf. e+e-collisions from phi to J/psi, Novosibirsk, March 1-5, 199

Scientific paper

The level classification of quark-antiquark systems is generally made by the LS-coupling scheme, resorting to the non-relativistic quark model. However, it has been well known that the pi-meson with the (L,S)=(0,0) shows also the properties as a Nambu-Goldstone boson in the case of spontaneous breaking of a relativistic symmetry, the chiral symmetry. In this talk I present a covariant classification scheme for describing both the non-relativistic and the relativistic q q bar-mesons and point out possibility for existence of the new scalar meson nonet (to be assigned to the sigma nonet) and also of the new axial-vector meson nonet, ``chiralons,'' which should be discriminated from the conventional ^3P_0 and ^3P_1 states, respectively.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Covariant Classification of q q bar-Meson Systems and Existence of New Scalar and Axial-Vector Mesons does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Covariant Classification of q q bar-Meson Systems and Existence of New Scalar and Axial-Vector Mesons, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Covariant Classification of q q bar-Meson Systems and Existence of New Scalar and Axial-Vector Mesons will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-145771

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.