Particle Production at CBM in a Thermal Model Approach

The Compressed Baryonic Matter (CBM) experiment planned at Facility for Antiproton and Ion Research (FAIR) will provide a major scientific effort for exploring the properties of strongly interacting matter in the high baryon density regime. One of the important goal behind such experiment is to precisely determine the equation of state (EOS) for the strongly interacting matter at extreme baryon density. In this paper, we have used a thermal model EOS incorporating excluded volume description for the hot and dense hadron gas (HG). We then predict different particle ratios and the total multiplicity of various hadrons in the CBM energy range i.e. from $10$ A GeV to $40$ A GeV lab energies, which corresponds to $4.43$ A GeV and $8.71$ A GeV center-of-mass energies. Our main emphasis is to estimate the strange particles enhancement as well as increase in the net baryon density in CBM experiment. We have also compared our results with the results obtained from various other theoretical approaches existing in the literature such as hadron string dynamics (HSD) model and ultra-relativistic quantum molecular dynamics (UrQMD) etc.Comment: 16 pages, 8 figure

Thermal effects on nuclear symmetry energy with a momentum-dependent effective interaction

The knowledge of the nuclear symmetry energy of hot neutron-rich matter is important for understanding the dynamical evolution of massive stars and the supernova explosion mechanisms. In particular, the electron capture rate on nuclei and/or free protons in presupernova explosions is especially sensitive to the symmetry energy at finite temperature. In view of the above, in the present work we calculate the symmetry energy as a function of the temperature for various values of the baryon density, by applying a momentum-dependent effective interaction. In addition to a previous work, the thermal effects are studied separately both in the kinetic part and the interaction part of the symmetry energy. We focus also on the calculations of the mean field potential, employed extensively in heavy ion reaction research, both for nuclear and pure neutron matter. The proton fraction and the electron chemical potential, which are crucial quantities for representing the thermal evolution of supernova and neutron stars, are calculated for various values of the temperature. Finally, we construct a temperature dependent equation of state of $\beta$-stable nuclear matter, the basic ingredient for the evaluation of the neutron star properties.Comment: 18 pages, 10 figures, 1 table, accepted for publication in Physical Review

Proton-nucleus total reaction cross sections in the optical limit Glauber theory: Subtle dependence on the equation of state of nuclear matter

We calculate the proton-nucleus total reaction cross sections at different energies of incident protons within the optical limit approximation of the Glauber theory. The isospin effect has been taken into account. The nucleon distribution is obtained in the framework of macroscopic nuclear models in a way depending on the equation of state of uniform nuclear matter near the saturation density. We find that at an energy of order 40 MeV, the reaction cross section calculated for neutron- rich isotopes significantly increases as the parameter L characterizing the density dependence of the symmetry energy increases, while at energies of order 300 and 800 MeV, it is almost independent of L. This is a feature of the optical limit Glauber theory in which an exponential dependence of the reaction cross section on the neutron skin thickness remains when the total proton-neutron cross section is small enough.Comment: 5 pages, 4 figure

Method for Generating Long-Range Correlations for Large Systems

We propose a new method to generate a sequence of random numbers with long-range power-law correlations that overcomes known difficulties associated with large systems. The new method presents an improvement on the commonly-used methods. We apply the algorithm to generate enhanced diffusion, isotropic and anisotropic self-affine surfaces, and isotropic and anisotropic correlated percolation.Comment: 4 pages, REVTEX, figures available upon request from [email protected]

Influence of fatigue on superconducting REBCO tapes under repeated cyclic tensile, bending and twisting loads:A simulation-based investigation

The effect of repeated cyclic loading on the superconducting REBCO tape under tensile, bending, and torsional loadings is investigated. The Fatigue Usage Factor (FUS) is calculated for each cyclic loading condition to identify degradation using the Matake criterion. The thicknesses of the tapes' constituent layers are also varied to identify the relative influence of each layer on overall fatigue performance. When the tape was subjected to fatigue-type loading, the thickness of the copper and Hastelloy layers was found to play a significant role. This holds true under tensile, bending, and twisting loading conditions. However, out of the three loading conditions, bending exhibits the greatest variation in FUS value with changes in Hastelloy and copper layer thickness. The maximum value of the fatigue usage factor is observed in the edges of the Hastelloy layer in all three loading cases. It has been found that the properties of the layer material, as well as the adjacent layer, play an important role in determining the fatigue strength of the tape.</p

Ensuring the Data Integrity and Confidentiality in Cloud Storage Using Hash Function and TPA

Main call for Cloud computing is that users only utilize what they required and only pay for whatever they are using. Mobile Cloud Computing refers to an infrastructure where data processing and storage can happen away from mobile device. Research estimates that mobile subscribers worldwide will reach 15 billion by the end of 2014 and 18 billion by at the ending of 2016. Due to increasing use of mobile devices the requirement of cloud computing in mobile devices arise, which evolves Mobile Cloud Computing. Mobile devices require large storage capacity and maximum CPU speed. As we are storing data on cloud there is an issue of data security. As there is risk associated with data storage many IT professionals are not showing their interest towards Mobile Cloud Computing. To ensure the users' data correctness in the cloud, here we are proposing an effective mechanism with salient feature of data integrity and confidentiality. This paper proposed a solution which uses the RSA algorithm and mechanism of hash function along with various cryptography tools to provide better security to the data stored on the cloud. This model can not only solve the problem of storage of massive data, but also make sure that it will give data access control mechanisms and ensure sharing data files with confidentiality and integrity. DOI: 10.17762/ijritcc2321-8169.15055

Land deformation due to underground coal mining – A case study

Ground movement, a foregone conclusion of underground mining. Will show up in the form of land deformation at the surface. Subsidence studies were conducted by mind tank, Central Institute of Mining and Fuel (Dhanbad), over and around the bord and pillar panel of Jharia Coalfield, Jharkhand to probe into the impacts on land environment. The extraction area has been correlated with the size of the planar and surface subsidence area. The affected area was larger than the extraction area. The change in surface topography will also affect the surface drainage pattern as dealt in this paper