1,119 research outputs found
Strange hadron production in pp, pPb and PbPb collisions at LHC energies
We present a systematic analysis of transverse momentum spectra of
the strange hadrons in different multiplicity events produced in pp collision
at = 7 TeV, pPb collision at = 5.02 TeV and PbPb
collision at = 2.76 TeV. Both the single and differential
freeze out scenarios of strange hadrons , and are
considered while fitting using a Tsallis distribution which is modified to
include transverse flow. The distributions of these hadrons in
different systems are characterized in terms of the parameters namely, Tsallis
temperature , power and average transverse flow velocity .
It is found that for all the systems, transverse flow increases as we move
from lower to higher multiplicity events. In the case of the differential
freeze-out scenario, the degree of thermalization remains similar for events of
different multiplicity classes in all the three systems. The Tsallis
temperature increases with the mass of the hadrons and also increases with the
event multiplicity in pp and pPb system but shows little variation with the
multiplicity in PbPb system. In the case of the single freeze-out scenario, the
difference between small systems (pp, pPb) and PbPb system becomes more
evident. The high multiplicity PbPb events show higher degree of thermalization
as compared to the events of pp and pPb systems. The trend of variation of the
temperature in PbPb system with event multiplicity is opposite to what is found
in the pp and pPb systems
Charged and Neutral Current Pion Production in Neutrino-Nucleus Scattering
In this article, we present the charged and neutral current coherent pion
production in the neutrino-nucleus interaction in the resonance region using
the formalism based on the partially conserved axial current (PCAC) theorem
which relates the neutrino-nucleus cross section to the pion-nucleus elastic
cross section. The pion nucleus elastic cross section is calculated using the
Glauber model approach. We calculate the integrated cross sections for
neutrino-carbon, neutrino-iron and neutrino-oxygen scattering. The results of
integrated cross-section calculations are compared with the measured dataComment: XXII DAE High Energy Physics Symposium, Springer Proceedings in
Physics 20
Control of Optically Induced Currents in Semiconductor Crystals
The generation and control of optically induced currents has the potential to become an important building block for optical computers. Here, shift and rectification currents are investigated that emerge from a divergence of the optical susceptibility. It is known that these currents react to the shape of the impinging laser pulse, and especially to the shape of the pulse envelope. The main goal is the systematic manipulation of the pulse envelope with an optical pulse shaper that is integrated into a standard THz emission setup. The initial approach, the chirping of the laser pulse only has a weak influence on the envelope and the currents. Instead, a second approach is suggested that uses the combined envelope of a phase-stable pulse-pair as a parameter.
In a laser pulse, the position of the maxima of the electrical field and the pulse envelope are shifted relative to each other. This shift is known as the Carrier-Envelope Phase (CEP). It is a new degree of freedom that is usually only accessible in specially stabilized systems. It is shown, that in a phase-stable pulse-pair, at least the relative CEP is usable as a new degree of freedom. It has a great influence on the shape of the pulse envelope and thus on the current density. It is shown that this approach enables the coherent control of the current density. The experiments are corroborated by a theoretical model of the system.
The potential of this approach is demonstrated in an application. A framework is presented that uses an iterative genetic algorithm to create arbitrarily shaped THz traces. The algorithm controls the optical pulse shaper, and varies the phase of the impinging laser pulses until the desired target trace is found
Novel Approach for Forecasting Sugarcane Crop Yield: A Real-Time Prediction
Agriculture is an environment in which there is considerable confusion. Crop development depends largely on several variables, including climate, temperature, genetics, politics and economics. In addition, a huge number of raw agriculture statistics are available, but study of those details for estimating crop yield is quite challenging. The most challenging job is therefore to include accurate details and awareness about the raw farm data. In order to evaluate cultivation yield, data mining could customize data expertise. The objective of this study was to predict crop yields through the use of data mining technological advances. Moreover, this paper compared various classification algorithms and it is expected that the results of the study may enhance the actual yields of sugarcane in a wide number of tropical fields. The specifications used in the forecast were plot (soil size, plant area, rain distance, previous year's plant yield), sugar-cane characteristics (cane class and sort), crop cultivation procedure (normal water resource size, cultivation technique, disease management process, sort / procedure of fertilizer) as well as rain quantity
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