203,107 research outputs found
Study of charge-dependent azimuthal correlations using reaction-plane-dependent balance functions
STAR has recently reported charge-dependent azimuthal correlations that are
sensitive to the charge separation effect in Au+Au collisions at = 200 GeV. Qualitatively, these results agree with some of the
theoretical predictions for local parity violation in heavy-ion collisions.
However, a study using reaction-plane-dependent balance functions shows an
alternative origin of this signal. The balance function, which measures the
correlation between oppositely charged pairs, is sensitive to the mechanisms of
charge formation and the subsequent relative diffusion of the balancing
charges. The reaction-plane-dependent balance function measurements can be
related to STAR's charge-dependent azimuthal correlations. We report
reaction-plane-dependent balance functions for Au+Au collisions at
= 200, 62.4, 39, 11.5, and 7.7 GeV using the STAR detector.
The model of Schlichting and Pratt incorporating local charge conservation and
elliptic flow reproduces most of the three-particle azimuthal correlation
results at 200 GeV. The experimental charge-dependent azimuthal charge
correlations observed at 200 GeV can be explained in terms of local charge
conservation and elliptic flow.Comment: Proceedings of the 22nd International Conference on
Ultra-Relativistic Nucleus-Nucleus Collisions (Annecy, France, 23-28 May
2011
The Strong Decays of Orbitally Excited Mesons by Improved Bethe-Salpeter Method
We calculate the masses and the strong decays of orbitally excited states
, , and by the improved Bethe-Salpeter
method. The predicted masses of and are
, . We
calculate the isospin symmetry violating decay processes
and through mixing and get small widths.
Considering the uncertainties of the masses, for and , we
also calculate the OZI allowed decay channels: and
. For and , the OZI allowed decay
channels , and are studied. In all the decay channels, the reduction formula, PCAC relation
and low energy theorem are used to estimate the decay widths. We also obtain
the strong coupling constants , ,
, , ,
, , ,
and .Comment: 21 pages, 1 figure, 4 table
Unsupervised Learning of Frustrated Classical Spin Models I: Principle Component Analysis
This work aims at the goal whether the artificial intelligence can recognize
phase transition without the prior human knowledge. If this becomes successful,
it can be applied to, for instance, analyze data from quantum simulation of
unsolved physical models. Toward this goal, we first need to apply the machine
learning algorithm to well-understood models and see whether the outputs are
consistent with our prior knowledge, which serves as the benchmark of this
approach. In this work, we feed the compute with data generated by the
classical Monte Carlo simulation for the XY model in frustrated triangular and
union jack lattices, which has two order parameters and exhibits two phase
transitions. We show that the outputs of the principle component analysis agree
very well with our understanding of different orders in different phases, and
the temperature dependences of the major components detect the nature and the
locations of the phase transitions. Our work offers promise for using machine
learning techniques to study sophisticated statistical models, and our results
can be further improved by using principle component analysis with kernel
tricks and the neural network method.Comment: 8 pages, 11 figure
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