252,011 research outputs found
Particle Correlation Results from the ALICE Experiment at LHC
Measurements of two-particle correlations of inclusive and identified charged
particles performed with the ALICE detector in Pb--Pb collisions at
are presented. The near-side jet shape is analyzed
in the low regions (p_{\rm T}). While the RMS of the
peak in -direction is independent of centrality within
uncertainties, we find significant broadening in -direction from
peripheral to central collisions. The near-side ratio of particles
associated to a trigger particle from jet fragmentation in the central Pb--Pb
collisions is consistent with vacuum fragmentation in the measured momentum
region (p_{\rm T}<4.5GeV\c).Comment: 8 pages, 6 figures, proceeding for Physics at LHC 2012, vancouver,
Canad
Pulsar Velocity with Three-Neutrino Oscillations in Non-adiabatic Processes
We have studied the position dependence of neutrino energy on the
Kusenko-Segr\`{e} mechanism as an explanation of the proper motion of pulsars.
The mechanism is also examined in three-generation mixing of neutrinos and in a
non-adiabatic case. The position dependence of neutrino energy requires the
higher value of magnetic field such as Gauss in order
to explain the observed proper motion of pulsars. It is shown that possible
non-adiabatic processes decrease the neutrino momentum asymmetry, whereas an
excess of electron neutrino flux over other flavor neutrino fluxes increases
the neutrino momentum asymmetry. It is also shown that a general treatment with
all three neutrinos does not modify the result of the two generation treatment
if the standard neutrino mass hierarchy is assumed.Comment: 8 pages, REVTEX, no figure
Disassortativity of random critical branching trees
Random critical branching trees (CBTs) are generated by the multiplicative
branching process, where the branching number is determined stochastically,
independent of the degree of their ancestor. Here we show analytically that
despite this stochastic independence, there exists the degree-degree
correlation (DDC) in the CBT and it is disassortative. Moreover, the skeletons
of fractal networks, the maximum spanning trees formed by the edge betweenness
centrality, behave similarly to the CBT in the DDC. This analytic solution and
observation support the argument that the fractal scaling in complex networks
originates from the disassortativity in the DDC.Comment: 3 pages, 2 figure
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