11 research outputs found
On the finite-size effects in two segregated Bose-Einstein condensates restricted by a hard wall
The finite-size effects in two segregated Bose-Einstein condensates (BECs)
restricted by a hard wall is studied by means of the Gross-Pitaevskii equations
in the double-parabola approximation (DPA). Starting from the consistency
between the boundary conditions (BCs) imposed on condensates in confined
geometry and in the full space, we find all possible BCs together with the
corresponding condensate profiles and interface tensions. We discover two
finite-size effects: a) The ground state derived from the Neumann BC is stable
whereas the ground states derived from the Robin and Dirichlet BCs are
unstable. b) Thereby, there equally manifest two possible wetting phase
transitions originating from two unstable states. However, the one associated
with the Robin BC is more favourable because it corresponds to a smaller
interface tension.Comment: 14 pages, 7 figure
Large signal of within the constraints of decays in the 3-3-1 model with neutral leptons
In the framework of the 3-3-1 model with neutral leptons, we have
investigated the lepton-flavor-violating sources based on the Higgs mass
spectrum which has two neutral Higgses identitied with corresponding ones in
the Two-Higgs-Doublet model (THDM). On the scale of the LHC,
we point out the parameter space regions where the experimental limits of decays are satisfied. These regions depend heavily on
the mixing of exotic leptons but are predicted to have large signals. We also show that
can reach a value of .Comment: 30 pages, 9 figure
Statistical Analsysis to Evaluate Heavy Metal Pollution in the Air Obatained by Moss Technique in Hanoi and its Surrounding Region
The aim of this paper was the application of statistical analysis including principal component analysis to evaluate heavy metal pollution obtained by moss technique in the air of Ha Noi and its surrounding areas and to evaluate potential pollution sources. The concentrations of 33 heavy metal elements in 27 samples of Barbula Indica moss in the investigated region collected in December of 2016 in the investigated area have been examined using multivariate statistical analysis. Five factors explaining 80% of the total variance were identified and their potential sources have been discussed