Search for nonpointing photons in the diphoton and ETmiss final state in root s=7 TeV proton-proton collisions using the ATLAS detector

A search has been performed for photons originating in the decay of a neutral long-lived particle, exploiting the capabilities of the ATLAS electromagnetic calorimeter to make precise measurements of the flight direction of photons, as well as the calorimeter's excellent time resolution. The search has been made in the diphoton plus missing transverse energy final state, using the full data sample of 4.8 fb⁻¹ of 7 TeV proton-proton collisions collected in 2011 with the ATLAS detector at the LHC. No excess is observed above the background expected from Standard Model processes. The results are used to set exclusion limits in the context of gauge mediated supersymmetry breaking models, with the lightest neutralino being the next-to-lightest supersymmetric particle and decaying with a lifetime in excess of 0.25 ns into a photon and a gravitino.G. Aad ... P. Jackson ... N. Soni ... M. J. White ... et al. (ATLAS Collaboration

On The Entanglement Entropy For Gauge Theories

We propose a definition for the entanglement entropy of a gauge theory on a spatial lattice. Our definition applies to any subset of links in the lattice, and is valid for both Abelian and Non-Abelian gauge theories. For $\mathbb{Z}_N$ and $U(1)$ theories, without matter, our definition agrees with a particular case of the definition given by Casini, Huerta and Rosabal. We also argue that in general, both for Abelian and Non-Abelian theories, our definition agrees with the entanglement entropy calculated using a definition of the replica trick. Our definition, however, does not agree with some standard ways to measure entanglement, like the number of Bell pairs which can be produced by entanglement distillation.Comment: 29 pages, 4 figures; section on Extended Lattice Construction revised and some changes in referencing; some of the discussion of the replica trick changed; section on SU(2) revised for clarit

Knowledge and practice regarding menstrual hygiene among adolescent girls of rural field practice area of RIMS, Raipur (C. G.), India

Background: Adolescent age group among girls have been recognized as a special period which signifies the transition from girlhood to womanhood. Menstruation is generally considered as unclean in the Indian society. Most of the adolescent girls had incomplete and inaccurate information about the menstrual physiology and hygiene as reported by many Indian studies. Very few authors have included the detailed aspects of the menstrual practices among adolescent girls.Methods: The current Community based cross sectional study was conducted by department of obstetrics and Gynaecology in connection with department of community medicine, Raipur Institute of Medical Science, Raipur (C.G), India. Among the adolescent school going girls in the field practice area of the Rural Health Unit and Training Centre during study period of 6 month from July 2017 to December 2017. 263 girls from the above mentioned schools, of the 8th and 9th standards, were selected for the study.Results: Majority of the school going adolescent girls belongs to 13 and 14 year of age. 50.95% , 21.67% and 12.93% girls reported that they had their menarche at the age of 13 year, 12 year and 14 year respectively. Majority of the girls were using cloth (49.81%) and only 17.87% were using sanitary napkins. Cleaning of external genitalia was not satisfactory in 32.70% of the girls. Only 58.17% girls used both soap and water for cleaning the genitalia. Pain in abdomen (59.70%) was found to be the most frequent complaint during menstruation.Conclusions: Knowledge on menstruation is sub-optimal and the practices are unacceptable for proper hygiene among study subjects. Menstrual hygiene is an important issue needs to be ensured

Bose-Einstein condensates with attractive 1/r interaction: The case of self-trapping

Amplifying on a proposal by O'Dell et al. for the realization of Bose-Einstein condensates of neutral atoms with attractive $1/r$ interaction, we point out that the instance of self-trapping of the condensate, without external trap potential, is physically best understood by introducing appropriate "atomic" units. This reveals a remarkable scaling property: the physics of the condensate depends only on the two parameters $N^2 a/a_u$ and $\gamma/N^2$, where $N$ is the particle number, $a$ the scattering length, $a_u$ the "Bohr" radius and $\gamma$ the trap frequency in atomic units. We calculate accurate numerical results for self-trapping wave functions and potentials, for energies, sizes and peak densities, and compare with previous variational results. As a novel feature we point out the existence of a second solution of the extended Gross-Pitaevskii equation for negative scattering lengths, with and without trapping potential, which is born together with the ground state in a tangent bifurcation. This indicates the existence of an unstable collectively excited state of the condensate for negative scattering lengths.Comment: 7 pages, 7 figures, to appear in Phys. Rev.

A Novel Hybrid Classification Model For the Loan Repayment Capability Prediction System

Classification is a powerful tool in Data mining to predict the loan repayment capability of a banking customer. This paper evaluates the performance of various classification algorithms and selects the most appropriate one for predicting the class label of the credit data set as good or bad. Feature selection is a data pre-processing technique refers to the process of identifying the most beneficial features for a given task, while avoiding the noisy, irrelevant and redundant features of the dataset. These irrelevant noisy features results in a poor accuracy for the selected classifier. In order to improve the accuracy of a classifier, the feature selection plays a vital role as a data preprocessing step. Feature selection technique reduces the dimensionality of the feature set of the dataset. This paper has two objectives. First objective is to find out the best classifier algorithm for the credit data set using two different tools such as weka and R. Here the experiment proved that Random Forest performs better for loan repayment credibility prediction system. The second objective is to evaluate the performance of various feature selection methods based on Random Forest classification method. Also a novel hybrid model is developed for the same

QQˉQ\bar Q (Q∈{b,c}Q\in \{b, c\}) spectroscopy using Cornell potential

The mass spectra and decay properties of heavy quarkonia are computed in nonrelativistic quark-antiquark Cornell potential model. We have employed the numerical solution of Schr\"odinger equation to obtain their mass spectra using only four parameters namely quark mass ($m_c$, $m_b$) and confinement strength ($A_{c\bar c}$, $A_{b\bar b}$). The spin hyperfine, spin-orbit and tensor components of the one gluon exchange interaction are computed perturbatively to determine the mass spectra of excited $S$, $P$, $D$ and $F$ states. Digamma, digluon and dilepton decays of these mesons are computed using the model parameters and numerical wave functions. The predicted spectroscopy and decay properties for quarkonia are found to be consistent with available experimental observations and results from other theoretical models. We also compute mass spectra and life time of the $B_c$ meson without additional parameters. The computed electromagnetic transition widths of heavy quarkonia and $B_c$ mesons are in tune with available experimental data and other theoretical approaches