1,460 research outputs found
The feathertop problem in Mitchell grass pastures
Seeds of Aristida latifolia (feathertop grass) in Mitchell grass (Astrebla spp.) pastures are the main cause of vegetable fault in wool from sheep grazing these areas. High stocking rates, particularly when the plants were young, reduced the build up of A. latifolia to only 4 000 plants compared with 35 000 in an adjacent field at low stocking rate. Control of A. latifolia by management strategies, (heavy grazing followed by pasture recovery in the wet season) is recommended
CP Violation from Dimensional Reduction: Examples in 4+1 Dimensions
We provide simple examples of the generation of complex mass terms and hence
CP violation through dimensional reduction.Comment: 6 pages, typos corrected, 1 reference adde
Reading Ian Shaw's Predator Empire: Drone Warfare and Full Spectrum Dominance
Predator Empire: Drone Warfare and Full Spectrum Dominance,
Ian G.R. Shaw. University of Minnesota Press, Minneapolis
(2016). 336 pp £18.47 (kindle edition), £81 (hardcopy), £22.99
(Paperback) ISBN-10: 0816694745, ISBN-13: 978-0816694747
Influence of synoptic atmospheric conditions on movement of individual sea-ice floes in Fram Strait, late summer 2010
In this paper we investigate the effect on sea-ice movement of changes in the synoptic
atmospheric conditions in late boreal summer 2010. Our study area is the western Fram Strait, a crucial
passage for the transport of ice out of the Arctic basin. Ice dynamics here affect the movement of ice in
the East Greenland Current, the transpolar drift and ice extent in the Arctic Ocean. In contrast to other
times of the year, when the Fram Strait wind field is characterized by strong, persistent northerlies, we
show that the weaker, more variable winds typical during late summer for the Fram Strait can slow
movement of ice floes out of the area, thus slowing the export of ice from the Arctic Ocean at the end of
summer, a time crucial for ice export. The Arctic Ocean could lose even more of the ice that survives
the summer if this was not the case. This would leave the Arctic Ocean in an even more vulnerable
position with regard to the amount of multi-year ice remaining the following summer
Kernel density classification and boosting: an L2 sub analysis
Kernel density estimation is a commonly used approach to classification. However, most of the theoretical results for kernel methods apply to estimation per se and not necessarily to classification. In this paper we show that when estimating the difference between two densities, the optimal smoothing parameters are increasing functions of the sample size of the complementary group, and we provide a small simluation study which examines the relative performance of kernel density methods when the final goal is classification. A relative newcomer to the classification portfolio is “boosting”, and this paper proposes an algorithm for boosting kernel density classifiers. We note that boosting is closely linked to a previously proposed method of bias reduction in kernel density estimation and indicate how it will enjoy similar properties for classification. We show that boosting kernel classifiers reduces the bias whilst only slightly increasing the variance, with an overall reduction in error. Numerical examples and simulations are used to illustrate the findings, and we also suggest further areas of research
Effective theory for wall-antiwall system
We propose a useful method for deriving the effective theory for a system
where BPS and anti-BPS domain walls coexist. Our method respects an
approximately preserved SUSY near each wall. Due to the finite width of the
walls, SUSY breaking terms arise at tree-level, which are exponentially
suppressed. A practical approximation using the BPS wall solutions is also
discussed. We show that a tachyonic mode appears in the matter sector if the
corresponding mode function has a broader profile than the wall width.Comment: LaTeX file, 30 page, 5 eps figures, references adde
Number-phase entropic uncertainty relations and Wigner functions for solvable quantum systems with discrete spectra
In this letter, the number-phase entropic uncertainty relation and the
number-phase Wigner function of generalized coherent states associated to a few
solvable quantum systems with nondegenerate spectra are studied. We also
investigate time evolution of number-phase entropic uncertainty and Wigner
function of the considered physical systems with the help of temporally stable
Gazeau-Klauder coherent states.Comment: 10 pages, 9 figures; To appear in Phys Lett A 200
Model Building with Gauge-Yukawa Unification
In supersymmetric theories with extra dimensions, the Higgs and matter fields
can be part of the gauge multiplet, so that the Yukawa interactions can arise
from the gauge interactions. This leads to the possibility of gauge-Yukawa
coupling unification, g_i=y_f, in the effective four dimensional theory after
the initial gauge symmetry and the supersymmetry are broken upon orbifold
compactification. We consider gauge-Yukawa unified models based on a variety of
four dimensional symmetries, including SO(10), SU(5), Pati-Salam symmetry,
trinification, and the Standard Model. Only in the case of Pati-Salam and the
Standard Model symmetry, we do obtain gauge-Yukawa unification. Partial
gauge-Yukawa unification is also briefly discussed.Comment: 23 page
Localized f electrons in CexLa1-xRhIn5: dHvA Measurements
Measurements of the de Haas-van Alphen effect in CexLa1-xRhIn5 reveal that
the Ce 4f electrons remain localized for all x, with the mass enhancement and
progressive loss of one spin from the de Haas-van Alphen signal resulting from
spin fluctuation effects. This behavior may be typical of antiferromagnetic
heavy fermion compounds, inspite of the fact that the 4f electron localization
in CeRhIn5 is driven, in part, by a spin-density wave instability.Comment: 4 pages, 4 figures, submitted to PR
A preferential attachment model with random initial degrees
In this paper, a random graph process is studied and its
degree sequence is analyzed. Let be an i.i.d. sequence. The
graph process is defined so that, at each integer time , a new vertex, with
edges attached to it, is added to the graph. The new edges added at time
t are then preferentially connected to older vertices, i.e., conditionally on
, the probability that a given edge is connected to vertex i is
proportional to , where is the degree of vertex
at time , independently of the other edges. The main result is that the
asymptotical degree sequence for this process is a power law with exponent
, where is the power-law exponent
of the initial degrees and the exponent predicted
by pure preferential attachment. This result extends previous work by Cooper
and Frieze, which is surveyed.Comment: In the published form of the paper, the proof of Proposition 2.1 is
incomplete. This version contains the complete proo
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