5,581 research outputs found
KamLAND Bounds on Solar Antineutrinos and neutrino transition magnetic moments
We investigate the possibility of detecting solar electron antineutrinos with
the KamLAND experiment. These electron antineutrinos are predicted by
spin-flavor oscillations at a significant rate even if this mechanism is not
the leading solution to the SNP. KamLAND is sensitive to antineutrinos
originated from solar B neutrinos. From KamLAND negative results after
145 days of data taking, we obtain model independent limits on the total flux
of solar electron antineutrinos $\Phi({}^8 B)< 1.1-3.5\times 10^4 cm^{-2}\
s^{-1}P<0.15%\mu B< 2.3\times 10^{-21}(\Delta m^2, \tan^2\theta)\mu\lsim 3.9\times 10^{-12} \mu_BB= 50\mu\lsim 9.0\times 10^{-13} \mu_BB= 200\mu\lsim 2.0\times 10^{-13} \mu_BB= 1000$ kG at the same
statistical significance.Comment: 13 pages, 2 figure
Finite volume study of electric polarizabilities from lattice QCD
Knowledge of the electric polarizability is crucial to understanding the
interactions of hadrons with electromagnetic fields. The neutron polarizability
is very sensitive to the quark mass and is expected to diverge in the chiral
limit. Here we present results for the electric polarizability of the neutron,
neutral pion, and neutral kaon on eight ensembles with nHYP-smeared clover
dynamical fermions with two different pion masses (227 and 306 MeV). These are
currently the lightest pion masses used in polarizability studies. For each
pion mass we compute the polarizability at four different volumes and perform
an infinite volume extrapolation for the three hadrons. Along with the infinite
volume extrapolation we conduct a chiral extrapolation for the kaon
polarizability to the physical point. We compare our results for the neutron
polarizability to predictions from chiral perturbation theory.Comment: 7 pages, 11 figure
First Evaluation of the CPU, GPGPU and MIC Architectures for Real Time Particle Tracking based on Hough Transform at the LHC
Recent innovations focused around {\em parallel} processing, either through
systems containing multiple processors or processors containing multiple cores,
hold great promise for enhancing the performance of the trigger at the LHC and
extending its physics program. The flexibility of the CMS/ATLAS trigger system
allows for easy integration of computational accelerators, such as NVIDIA's
Tesla Graphics Processing Unit (GPU) or Intel's \xphi, in the High Level
Trigger. These accelerators have the potential to provide faster or more energy
efficient event selection, thus opening up possibilities for new complex
triggers that were not previously feasible. At the same time, it is crucial to
explore the performance limits achievable on the latest generation multicore
CPUs with the use of the best software optimization methods. In this article, a
new tracking algorithm based on the Hough transform will be evaluated for the
first time on a multi-core Intel Xeon E5-2697v2 CPU, an NVIDIA Tesla K20c GPU,
and an Intel \xphi\ 7120 coprocessor. Preliminary time performance will be
presented.Comment: 13 pages, 4 figures, Accepted to JINS
KamLAND, solar antineutrinos and the solar magnetic field
In this work the possibility of detecting solar electron antineutrinos
produced by a solar core magnetic field from the KamLAND recent observations is
investigated. We find a scaling of the antineutrino probability with respect to
the magnetic field profile in the sense that the same probability function can
be reproduced by any profile with a suitable peak field value. In this way the
solar electron antineutrino spectrum can be unambiguosly predicted. We use this
scaling and the negative results indicated by the KamLAND experiment to obtain
upper bounds on the solar electron antineutrino flux. We get
at 95% CL. For 90% CL this becomes
, an improvement by a factor of 3-5
with respect to existing bounds. These limits are independent of the detailed
structure of the magnetic field in the solar interior. We also derive upper
bounds on the peak field value which are uniquely determined for a fixed solar
field profile. In the most efficient antineutrino producing case, we get (95%
CL) an upper limit on the product of the neutrino magnetic moment by the solar
field MeV or for
.Comment: 15 pages. References corrected. Minor changes in the tex
Adaptation to public goods cheats in Pseudomonas aeruginosa
This is the author accepted manuscript. The final version is available from the Royal Society via the DOI in this record.Cooperation in nature is ubiquitous, but is susceptible to social cheats who pay little or no cost of cooperation yet reap the benefits. The effect such cheats have on reducing population productivity suggests that there is selection for cooperators to mitigate the adverse effects of cheats. While mechanisms have been elucidated for scenarios involving a direct association between producer and cooperative product, it is less clear how cooperators may suppress cheating in an anonymous public goods scenario, where cheats cannot be directly identified. Here, we investigate the real-time evolutionary response of cooperators to cheats when cooperation is mediated by a diffusible public good: the production of iron-scavenging siderophores by Pseudomonas aeruginosa. We find that siderophore producers evolved in thepresence of a high frequency of non-producing cheats were fitter in the presence of cheats, at no obvious cost to population productivity. A novel morphotype independently evolved and reached higher frequencies in cheat-adapted versus control populations, exhibiting reduced siderophore production but increased production of pyocyanin - an extracellular toxin that can also increase the availability of soluble iron. This suggests that cooperators may have mitigated the negative effects of cheats by downregulating siderophore production and upregulating an alternative iron-acquisition public good. More generally, the study emphasises that cooperating organisms can rapidly adapt to the presence of anonymous cheats without necessarily
incurring fitness costs in the environment they evolve in.The work was funded by AXA research fund, NERC, BBSRC and the Royal Society to AB and a University of Exeter PhD studentship to SOB
Relic Neutralino Density in Scenarios with Intermediate Unification Scale
We analyse the relic neutralino density in supersymmetric models with an
intermediate unification scale. In particular, we present concrete cosmological
scenarios where the reheating temperature is as small as
MeV). When this temperature is associated to the decay of moduli fields
producing neutralinos, we show that the relic abundance increases considerably
with respect to the standard thermal production. Thus the neutralino becomes a
good dark matter candidate with 0.1\lsim \Omega h^2 \lsim 0.3, even for
regions of the parameter space where large neutralino-nucleon cross sections,
compatible with current dark matter experiments, are present. This is obtained
for intermediate scales GeV, and moduli masses
GeV. On the other hand, when the above temperature is
associated to the decay of an inflaton field, the relic abundance is too small.Comment: Latex, 11 pages, 2 figure
Neutrino Magnetic Moments and Minimal Supersymmetric SO(10) Model
We examine supersymmetric contributions to transition magnetic moments of
Majorana neutrinos. We first give the general formula for it. In concrete
evaluations, informations of neutrino mass matrix elements including CP phases
are necessary. Using unambiguously determined neutrino mass matrices in
recently proposed minimal supersymmetric SO(10) model, the transition magnetic
moments are calculated. The resultant neutrino magnetic moments are found to be
roughly an order of magnitude larger than those calculated in the standard
model extended to incorporate the see-saw mechanism.Comment: 8 pages, 4 figures, the version to be published in International
Journal of Modern Physics
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