312 research outputs found
Extracting Low-Lying Lambda Resonances Using Correlation Matrix Techniques
The lowest-lying negative-parity state of the Lambda is investigated in
(2+1)-flavour full-QCD on the PACS-CS configurations made available through the
ILDG. We show that a variational analysis using multiple source and sink
smearings can extract a state lying lower than that obtained by using a
standard fixed smeared source and sink operator alone.Comment: 3 pages, 1 figure, submitted to the proceedings of T(R)OPICAL QCD II,
Cairns, Australia, 201
Accessing High Momentum States In Lattice QCD
Two measures are defined to evaluate the coupling strength of smeared
interpolating operators to hadronic states at a variety of momenta. Of
particular interest is the extent to which strong overlap can be obtained with
individual high-momentum states. This is vital to exploring hadronic structure
at high momentum transfers on the lattice and addressing interesting phenomena
observed experimentally. We consider a novel idea of altering the shape of the
smeared operator to match the Lorentz contraction of the probability
distribution of the high-momentum state, and show a reduction in the relative
error of the two-point function by employing this technique. Our most important
finding is that the overlap of the states becomes very sharp in the smearing
parameters at high momenta and fine tuning is required to ensure strong overlap
with these states.Comment: 10 page
Low-lying positive-parity excited states of the nucleon
We present an overview of the correlation-matrix methods developed recently
by the CSSM Lattice Collaboration for the isolation of excited states of the
nucleon. Of particular interest is the first positive-parity excited-state of
the nucleon known as the Roper resonance. Using eigenvectors of the correlation
matrix we construct parity and eigenstate projected correlation functions which
are analysed using standardized methods. The robust nature of this approach for
extracting the eigenstate energies is presented. We report the importance of
using a variety of source and sink smearings in achieving this. Ultimately the
independence of the eigenstate energies from the interpolator basis is
demonstrated. In particular we consider correlation matrices built
from a variety of interpolators and smearing levels. Using FLIC fermions to
access the light quark mass regime, we explore the curvature encountered in the
energy of the states as the chiral limit is approached. We report a low-lying
Roper state contrasting earlier results using correlation matrices. To the best
of our knowledge, this is the first time a low-lying Roper resonance has been
found using correlation matrix methods. Finally, we present our results in the
context of the Roper results reported by other groups.Comment: 8 pages, 4 figures., Presented at the XXVII International Symposium
on Lattice Field Theory, July 26-31, 2009, Peking University, Beijing, Chin
Isolating Excited States of the Nucleon in Lattice QCD
We discuss a robust projection method for the extraction of excited-state
masses of the nucleon from a matrix of correlation functions. To illustrate the
algorithm in practice, we present results for the positive parity excited
states of the nucleon in quenched QCD. Using eigenvectors obtained via the
variational method, we construct an eigenstate-projected correlation function
amenable to standard analysis techniques. The method displays its utility when
comparing results from the fit of the projected correlation function with those
obtained from the eigenvalues of the variational method. Standard nucleon
interpolators are considered, with and correlation
matrix analyses presented using various combinations of source-smeared,
sink-smeared and smeared-smeared correlation functions. Using these new robust
methods, we observe a systematic dependency of the nucleon excited-state masses
on source- and sink-smearing levels. To the best of our knowledge, this is the
first clear indication that a correlation matrix of standard nucleon
interpolators is insufficient to isolate the eigenstates of QCD.Comment: May 2009.13pp, Minor changes and references adde
Authorship Identification of Source Code Segments Written by Multiple Authors Using Stacking Ensemble Method
Source code segment authorship identification is the task of identifying the
author of a source code segment through supervised learning. It has vast
importance in plagiarism detection, digital forensics, and several other law
enforcement issues. However, when a source code segment is written by multiple
authors, typical author identification methods no longer work. Here, an author
identification technique, capable of predicting the authorship of source code
segments, even in the case of multiple authors, has been proposed which uses a
stacking ensemble classifier. This proposed technique is built upon several
deep neural networks, random forests and support vector machine classifiers. It
has been shown that for identifying the author group, a single classification
technique is no longer sufficient and using a deep neural network-based
stacking ensemble method can enhance the accuracy significantly. The
performance of the proposed technique has been compared with some existing
methods which only deal with the source code segments written precisely by a
single author. Despite the harder task of authorship identification for source
code segments written by multiple authors, our proposed technique has achieved
promising results evidenced by the identification accuracy, compared to the
related works which only deal with code segments written by a single author.Comment: 2019 22nd International Conference on Computer and Information
Technology (ICCIT
Effect of Nitrogen Rates and Foliar Spray of Micronutrients on Growth and Yield of Sesame (Sesamum indicum L.)
To find out optimum nitrogen (N) and micronutrients (MNs) doses for the growth and yield of sesame the experiment was undertaken at Sher-e-Bangla Agricultural University Research field, Dhaka, during April to July 2013 with three replications in a randomized complete block design (RCBD). Three different N levels viz. N0= without N, N1= 60 kg h-1, N2=120 kg h-1 and four micronutrients (MNs) levels viz. M0= without MNs, M1= 50 ppm MNs, M2= 100 ppm and M3= 150 ppm MNs. The N significantly increased morphological characters - plant height, number of leaves plant-1, branch number plant-1, fresh and dry weight of shoot and root; yield contributing characters- number of pod plant-1, pod diameter, pod length, seed weight plant-1, seed weight plot-1 compared to control (N0). The rate of application of N 60 kg ha-1 produced the highest seed yield (1.21 t ha-1) which is consisting with most of the vegetative growth of sesame. Foliar application of different concentration of micronutrients also improved the morphological characters and seed yield of sesame as N. Interestingly 1000-seed weight did not show any significant differences with both N and micronutrients. The maximum number of pod plant-1, pod diameter, pod length, seed weight plant-1, seed yield (1.14 tha-1) significantly increased with 150 ppm micronutrients. Therefore, this experimental results suggest that the use of 60 kg Nha-1 and 150 ppm micronutrients have produced highest seed yield of sesame by adjusting in plant morphological characters and yield contributing characters of sesame
Pengaruh Edible Coating dengan Konsentrasi Berbeda terhadap Tekstur, Warna, dan Kekenyalan Bakso Sapi
Carragenan's edible coating is one of method to provide of shelf life longer of meatball. Research material is 500 grams fresh beef for each experimental parameter and additional materials manufacture of meatballs. Experimental design was completely randomized design (CRD) with 5 treatment, 4 replications and 25 person use as semi-professional panelists with parameters texture, color and firmness. The treatment given is T0: no edible coating, T1: 0.5%, T2: 1%, T3: 1.5%, T4: 2%. The study showed that using carragenan's edible coatings with different concentrations is significantly (P<0.05) for texture, color and firmness of meatball. 1% of carragenan's edible coating is better than the others. The value from each parameter is texture 2.94, color 2.28, and firmness 2359.9 grams of force (gf). This method can be to maintain the quality of beef meatball
Bioremediation of mercury: not properly exploited in contaminated soils!
© 2017, Springer-Verlag Berlin Heidelberg. Contamination of land and water caused by heavy metal mercury (Hg) poses a serious threat to biota worldwide. The seriousness of toxicity of this neurotoxin is characterized by its ability to augment in food chains and bind to thiol groups in living tissue. Therefore, different remediation approaches have been implemented to rehabilitate Hg-contaminated sites. Bioremediation is considered as cheaper and greener technology than the conventional physico-chemical means. Large-scale use of Hg-volatilizing bacteria are used to clean up Hg-contaminated waters, but there is no such approach to remediate Hg-contaminated soils. This review focuses on recent uses of Hg-resistant bacteria in bioremediation of mercury-contaminated sites, limitation and advantages of this approach, and identifies the gaps in existing research
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