English

Spin tune mapping as a novel tool to probe the spin dynamics in storage rings

Accelerator Physics 2017-07-12 v3 Nuclear Experiment Instrumentation and Detectors

Abstract

Precision experiments, such as the search for electric dipole moments of charged particles using storage rings, demand for an understanding of the spin dynamics with unprecedented accuracy. The ultimate aim is to measure the electric dipole moments with a sensitivity up to 15 orders in magnitude better than the magnetic dipole moment of the stored particles. This formidable task requires an understanding of the background to the signal of the electric dipole from rotations of the spins in the spurious magnetic fields of a storage ring. One of the observables, especially sensitive to the imperfection magnetic fields in the ring is the angular orientation of stable spin axis. Up to now, the stable spin axis has never been determined experimentally, and in addition, the JEDI collaboration for the first time succeeded to quantify the background signals that stem from false rotations of the magnetic dipole moments in the horizontal and longitudinal imperfection magnetic fields of the storage ring. To this end, we developed a new method based on the spin tune response of a machine to artificially applied longitudinal magnetic fields. This novel technique, called \textit{spin tune mapping}, emerges as a very powerful tool to probe the spin dynamics in storage rings. The technique was experimentally tested in 2014 at the cooler synchrotron COSY, and for the first time, the angular orientation of the stable spin axis at two different locations in the ring has been determined to an unprecedented accuracy of better than 2.8μ2.8\murad.

Keywords

Cite

@article{arxiv.1703.01295,
  title  = {Spin tune mapping as a novel tool to probe the spin dynamics in storage rings},
  author = {A. Saleev and N. N. Nikolaev and F. Rathmann and W. Augustyniak and Z. Bagdasarian and M. Bai and M. Berz and S. Chekmenev and G. Ciullo and S. Dymov and D. Eversmann and M. Gaisser and R. Gebel and K. Grigoryev and D. Grzonka and G. Guidoboni and D. Heberling and N. Hempelmann and V. Hejny and J. Hetzel and F. Hinder and A. Kacharava and V. Kamerdzhiev and I. Keshelashvili and I. Koop and A. Kulikov and A. Lehrach and P. Lenisa and N. Lomidze and B. Lorentz and P. Maanen and G. Macharashvili and D. Mchedlishvili and A. Magiera and S. Mey and A. Nass and A. Pesce and D. Prasuhn and J. Pretz and M. Rosenthal and V. Schmidt and Y. Semertzidis and Y. Senichev and V. Shmakova and A. Silenko and J. Slim and A. Stahl and R. Stassen and E. Stephenson and H. Stockhorst and H. Ströher and P. Thörngren Engblom and M. Tabidze and G. Tagliente and R. Talman and F. Trinkel and Yu. Uzikov and Yu. Valdau and E. Valetov and A. Vassiliev and C. Weidemann and A. Wrońska and P. Wüstner and P. Zuprański},
  journal= {arXiv preprint arXiv:1703.01295},
  year   = {2017}
}

Comments

32 pages, 15 figures, 7 tables