850 research outputs found
Summary of spin physics sessions
The list of topics in the many talks given during the Spin Physics sessions of this Intersections conference is nearly as long as the one of this conference: P and T Violation NN Interaction Ïp and Ïd Elastic Scattering Nuclear Matter Spin Effects Muon (gâ2) Polarized Proton Beams Polarized Gas Targets This points to the almost trivial fact that spin is fundamental to our understanding of nuclear and particle physics. I will discuss in some detail only four of these topics. Needless to say this choice is very much personally biased and I apologize to all the speakers whose excellent contributions I did not include.â (AIP)Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/87664/2/266_1.pd
Siberian snakes and future polarized beams
Horizontal magnetic fields in accelerators induce depolarizing resonances, 180° spin rotators, commonly called Siberian snakes, eliminate the resonances by reversing the effect of the horizontal field every revolution.(AIP)Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/87536/2/197_1.pd
Polarized protons at the AGS and high P2â spin effects
At the AGS an intense polarized proton beam was for the first time successfully accelerated to 22 GeV/c, preserving a polarization of âŒ45%. Using this polarized beam a surprisingly strong energy dependence of the spinâspin correlation parameter Ann in high p2â elastic protonâproton scattering was discovered.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/87395/2/1148_1.pd
Properties of partially excited Siberian Snakes
The properties of the insertion of a general spin rotator into a circular accelerator are examined. It is shown that even for a small rotation angle depolarization from weak imperfection resonances is avoided.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/87385/2/1442_1.pd
Workshop on Siberian Snakes and depolarizing resonances correcting techniques
Discussions during the Workshop on Siberian Snakes and Depolarizing Resonances Correcting Techniques are summarized. It has been firmly established theoretically depolarization can be avoided by means of Siberian Snakes. The results from the first experimental test are eagerly awaited.(AIP)Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/87384/2/1428_1.pd
Experimental test of the Siberian Snake Concept
The Siberian Snake Concept was experimentally tested at the IUCF Cooler Ring. We showed that the spin tune, which is the number of spin rotations per particle revolution, can be manipulated in a predictable way using local spin rotators (Siberian Snakes). Local spin rotators can then be used to avoid depolarization from intrinsic and imperfection depolarizing resonances.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/87486/2/1033_1.pd
Engineering Topological Phases Guided by Statistical and Machine Learning Methods
The search for materials with topological properties is an ongoing effort. In
this article we propose a systematic statistical method supported by machine
learning techniques that is capable of constructing topological models for a
generic lattice without prior knowledge of the phase diagram. By sampling
tight-binding parameter vectors from a random distribution we obtain data sets
that we label with the corresponding topological index. This labeled data is
then analyzed to extract those parameters most relevant for the topological
classification and to find their most likely values. We find that the marginal
distributions of the parameters already define a topological model. Additional
information is hidden in correlations between parameters. Here we present as a
proof of concept the prediction of the Haldane model as the prototypical
topological insulator for the honeycomb lattice in Altland-Zirnbauer (AZ) class
A. The algorithm is straightforwardly applicable to any other AZ class or
lattice and could be generalized to interacting systems
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