798 research outputs found
Trilinear Higgs couplings in the two Higgs doublet model with CP violation
We carry out a detailed analysis of the general two Higgs doublet model with
CP violation. We describe two different parametrizations of this model, and
then study the Higgs boson masses and the trilinear Higgs couplings for these
two parametrizations. Within a rather general model, we find that the trilinear
Higgs couplings have a significant dependence on the details of the model, even
when the lightest Higgs boson mass is taken to be a fixed parameter. We include
radiative corrections in the one-loop effective potential approximation in our
analysis of the Higgs boson masses and the Higgs trilinear couplings. The
one-loop corrections to the trilinear couplings of the two Higgs doublet model
also depend significantly on the details of the model, and can be rather large.
We study quantitatively the trilinear Higgs couplings, and show that these
couplings are typically several times larger than the corresponding Standard
Model trilinear Higgs coupling in some regions of the parameter space. We also
briefly discuss the decoupling limit of the two Higgs doublet model.Comment: 23 pages, 15 figures. v2: References added, version to appear in PR
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Effect of some nucleating agents on thermal expansion behaviour of Li2O-BaO-Al2O3-SiO2 glasses and glass-ceramics
The thermal expansion behaviour of some glasses and glass-ceramics within the system spodumence (LiAlSi2O6)-celsian (BaAl2Si2O8) containing LiF, TiO2 and Cr2O3 as nucleation catalysts was described. LiF and TiO2 were found to increase the thermal expansion of the glasses investigated, whereas Cr2O3 slightly lowered the expansion coefficient. The dilatometric transition and softening points of the glasses showed the reverse behaviour. The thermal expansion of the glass-ceramics was a function of type and amount of nucleating agent and heat treatment which greatly affected the mineralogical constitution of the materials
Selection of productivity improvement techniques via mathematical modeling
This paper presents a new mathematical model to select an optimal combination of productivity improvement techniques. The proposed model of this paper considers four-stage cycle productivity and the productivity is assumed to be a linear function of fifty four improvement techniques. The proposed model of this paper is implemented for a real-world case study of manufacturing plant. The resulted problem is formulated as a mixed integer programming which can be solved for optimality using traditional methods. The preliminary results of the implementation of the proposed model of this paper indicate that the productivity can be improved through a change on equipments and it can be easily applied for both manufacturing and service industries
Development of High Thermal Stability Geopolymer Composites Enhanced by Nano Metakaolin
This paper deals with study of thermal stability of geopolymer composites enhanced by nano metakaolin materials (NMK) and exposed to high firing temperature up to 1000 °C. The main geopolymer made up of water cooled slag having various kaolin ratios. The activators used are Na2SiO3 and NaOH in the ratio of 3:3. The thermo-physical, micro-structural and mechanical properties of the geopolymers before and after the exposure to elevated temperatures of 300, 500, 600 800 and 1000 °C have been investigated. The fire shrinkage of the geopolymer specimens increased by increasing temperature up to 1000 oC. Also, the fire shrinkage increased slowly up to 500 °C. The mechanical strength of geopolymer specimens increased with temperature up to 500 oC. The good thermo-physical and mechanical properties for these geopolymer composites increase the possibility of vast application of these eco-friendly materials in construction sectors
Computational modeling of sublattice magnetizations of nano-magnetic layered materials
In the present work, we model the salient magnetic properties of the alloy
layered ferrimagnetic nanostructures
between
magnetically ordered cobalt leads. The effective field theory (EFT) Ising spin
method is used to compute reliable and exchange values
for the pure cobalt and gadolinium materials in comparison with experimental
data. Using the combined EFT and mean field theory (MFT) spin methods, the
sublattice magnetizations of the and sites on the individual hcp
basal planes of the layered nanostructures, are calculated and analyzed. The
sublattice magnetizations, effective magnetic moments per site, and
compensation characteristics on the individual hcp atomic planes of the
embedded nanostructures are presented as a function of temperature and the
thicknesses of the layered ferrimagnetic nanostructures, for different stable
eutectic concentrations 0.5. In the absence of first principles
calculations for these basic physical variables for the layered nanostructures
between cobalt leads, the combined EFT and MFT approach, and appropriate
magnetic modeling of the well-defined interfaces of these systems, yield the
only available information for them at present. These magnetic variables are
necessary for spin dynamic computations, and for the ballistic magnon transport
across embedded nanojunctions in magnonics. The model is general, and may
applied directly to other composite magnetic elements and embedded
nanostructures
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