10,098 research outputs found
M\"{o}ller and Bhabha scattering in the noncommutative standard model
We study the M\"{o}ller and Bhabha scattering in the noncommutative extension
of the standard model(SM) using the Seiberg-Witten maps of this to first order
of the noncommutative parameter . We look at the angular
distribution to explore the noncommutativity of space-time at
around TeV and find that the distribution deviates
significantly from the one obtained from the commutative version of the
standard model.Comment: 15 pages, 14 eps figures.Text is modified a little and version to
appear in Phys.Rev.
X-ray Temperatures, Luminosities, and Masses From XMM-Newton Follow-up of the First Shear-selected Galaxy Cluster Sample
We continue the study of the first sample of shear-selected clusters (Wittman
et al. 2006) from the initial 8.6 square degrees of the Deep Lens Survey (DLS,
Wittman et al. 2002); a sample with well-defined selection criteria
corresponding to the highest ranked shear peaks in the survey area. We aim to
characterize the weak lensing selection by examining the sample's X-ray
properties. There are multiple X-ray clusters associated with nearly all the
shear peaks: 14 X-ray clusters corresponding to seven DLS shear peaks. An
additional three X-ray clusters cannot be definitively associated with shear
peaks, mainly due to large positional offsets between the X-ray centroid and
the shear peak. Here we report on the X-ray properties of the 17 X-ray
clusters. The X-ray clusters display a wide range of luminosities and
temperatures; the Lx-Tx relation we determine for the shear-associated X-ray
clusters is consistent with X-ray cluster samples selected without regard to
dynamical state, while it is inconsistent with self-similarity. For a subset of
the sample, we measure X-ray masses using temperature as a proxy, and compare
to weak lensing masses determined by the DLS team (Abate et al. 2009; Wittman
et al. 2014). The resulting mass comparison is consistent with equality. The
X-ray and weak lensing masses show considerable intrinsic scatter (~48%), which
is consistent with X-ray selected samples when their X-ray and weak lensing
masses are independently determined.Comment: 14 pages, 4 figure
Why my photos look sideways or upside down? Detecting Canonical Orientation of Images using Convolutional Neural Networks
Image orientation detection requires high-level scene understanding. Humans
use object recognition and contextual scene information to correctly orient
images. In literature, the problem of image orientation detection is mostly
confronted by using low-level vision features, while some approaches
incorporate few easily detectable semantic cues to gain minor improvements. The
vast amount of semantic content in images makes orientation detection
challenging, and therefore there is a large semantic gap between existing
methods and human behavior. Also, existing methods in literature report highly
discrepant detection rates, which is mainly due to large differences in
datasets and limited variety of test images used for evaluation. In this work,
for the first time, we leverage the power of deep learning and adapt
pre-trained convolutional neural networks using largest training dataset
to-date for the image orientation detection task. An extensive evaluation of
our model on different public datasets shows that it remarkably generalizes to
correctly orient a large set of unconstrained images; it also significantly
outperforms the state-of-the-art and achieves accuracy very close to that of
humans
New targets for resolution of airway remodeling in obstructive lung diseases.
Airway remodeling (AR) is a progressive pathological feature of the obstructive lung diseases, including asthma and chronic obstructive pulmonary disease (COPD). The pathology manifests itself in the form of significant, progressive, and (to date) seemingly irreversible changes to distinct respiratory structural compartments. Consequently, AR correlates with disease severity and the gradual decline in pulmonary function associated with asthma and COPD. Although current asthma/COPD drugs manage airway contraction and inflammation, none of these effectively prevent or reverse features of AR. In this review, we provide a brief overview of the features and putative mechanisms affecting AR. We further discuss recently proposed strategies with promise for deterring or treating AR
CP-Violation For Including Long-Distance Effects
We consider the CP violating effect for process, including
both short and long distance effects. We obtain the CP asymmetry parameter and
present its variation over the dilepton mass.Comment: 9 pages, Latex file, one figure include
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