12,667 research outputs found
Factorization of Radiative Leptonic Decays of and Mesons Including the Soft Photon Region
In this work, we study the radiative leptonic decays of and
mesons using factorization approach. Factorization is proved to be valid
explicitly at 1-loop level at any order of . We consider the contribution in the soft photon region
that . The numerical
results shows that, the soft photon region is very important for both the
and mesons. The branching ratios of is , which is about times of the result obtained by only considering
the hard photon region . And for the case of , the result of the branching ratio is .Comment: arXiv admin note: text overlap with arXiv:1409.035
Factorization of Radiative Leptonic Decays of and Mesons
In this work, we study the factorization of the radiative leptonic decays of
and mesons, the contributions of the order are taken into account. The factorization is proved to
be valid explicitly at the order . The hard kernel is obtained. The numerical results are
calculated using the wave-function obtained in relativistic potential model.
The contribution is found to be very
important, the correction to the decay amplitudes of
is about . For mesons, the contributions are more important.Comment: 26 pages, 8 figures. Version to appear in Nucl. Phys.
Photometric Redshift Analysis using Supervised Learning Algorithms and Deep Learning
We present a catalogue of galaxy photometric redshifts for the Sloan Digital
Sky Survey (SDSS) Data Release 12. We use various supervised learning
algorithms to calculate redshifts using photometric attributes on a
spectroscopic training set. Two training sets are analysed in this paper. The
first training set consists of 995,498 galaxies with redshifts up to . On the first training set, we achieve a cost function of 0.00501 and a
root mean squared error value of 0.0707 using the XGBoost algorithm. We
achieved an outlier rate of 2.1\% and 86.81\%, 95.83\%, 97.90\% of our data
points lie within one, two, and three standard deviation of the mean
respectively. The second training set consists of 163,140 galaxies with
redshifts up to and is merged with the Galaxy Zoo 2 full catalog.
We also experimented on convolutional neural networks to predict five
morphological features (Smooth, Features/Disk, Star, Edge-on, Spiral). We
achieve a root mean squared error of 0.117 when validated against an unseen
dataset with over 200 epochs. Morphological features from the Galaxy Zoo,
trained with photometric features are found to consistently improve the
accuracy of photometric redshifts.Comment: Poster presented at the XLVIII International Symposium on
Multiparticle Dynamics (ISMD2018
Vortex-state-mediated Josephson effect
The Josephson effect is a kind of macroscopic quantum phenomenon that
supercurrent flows through a Josephson junction without any voltage applied. We
predict a novel vortex-state-mediated Josephson effect in an SNS Josephson
junction supporting vortices. The vortex-state-mediated supercurrent is
enhanced or reduced significantly in magnitude depending on the junction
length, and exhibits several steps with the number of effective propagating
channels in current-phase evolution at zero temperature. At finite
temperatures, these supercurrent steps persist in the short junction limit, and
develop into sawtooth oscillations if the junction length becomes comparable to
the coherence length of the superconductor, and in later
case a supercurrent reversal can be observed. These findings may provide a
smoking-gun signature of vortex bound states in superconductors and promise
possible applications in future Josephson devices.Comment: 8 pages, 4 figure
Extended Prophylactic Antibiotics for Mastectomy with Immediate Breast Reconstruction: A Meta-analysis
Background: The risk of surgical site infection (SSI) for breast surgery in patients without additional risk factors is low, below 5%. Evidence shows the risk of SSI is significantly elevated in patients undergoing immediate breast reconstruction (IBR). However, there is no consensus regarding the use of extended antibiotic prophylaxis. We aim to determine the effect of extended antibiotic prophylaxis on the incidence of SSI after IBR.
Methods: PubMed and Scopus were searched by 2 independent reviewers. Data abstracted included types of study, basic characteristics, detailed antibiotic prophylaxis information, SSI event, and other secondary outcomes. We calculated the risk ratio (RR) and 95% confidence interval (CI) for each study and used a random-effects model to estimate the results. Study quality, bias, and heterogeneity were also analyzed.
Results: A total of 11 studies (15,966 mastectomy procedures) were included. We found an overall 5.99% SSI rate in our population. Three studies comparing topical antibiotics with no topical antibiotics demonstrated statistical significance (RR = 0.26, 95% CI: 0.12–0.60, P = 0.001), whereas 8 studies comparing extended systemic antibiotics with standard of care found no statistical significance (RR = 0.80, 95% CI: 0.60–1.08, P = 0.13).
Conclusions: In the setting of IBR following mastectomy, there is insufficient evidence for the use of extended prophylactic antibiotics to reduce SSI rates. Welldesigned randomized controlled trials in patients undergoing IBR should be conducted to determine the appropriate regimen and/or duration of prophylactic antibiotics on SSI outcomes
Top-squark mixing effects in the supersymmetric electroweak corrections to top quark production at the Tevatron
Taking into account the mixing effects between left- and right-handed
top-squarks, we calculate the genuine supersymmetric eletroweak correction to
top quark production at the Tevatron in the minimal supersymmetric model. The
analytic expressions of the corrections to both the parton level cross section
and the total hadronic cross section are presented. Some numerical examples are
also given to show the size of the corrections.Comment: 11 pages, 3 figures, available at reques
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