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Malay Kanti Dey

Publications and source records attributed to Malay Kanti Dey.

3 recordsLinked to original sources

Optimization of Beam Transmission in the extraction lines of the K130 Room Temperature Cyclotron at Variable Energy Cyclotron Centre (VECC), Kolkata

The K130 Room Temperature Cyclotron (RTC) at the Variable Energy Cyclotron Centre (VECC), Kolkata has delivered a variety of ion beams for experimental programs with stable performance since the 1970s. The extracted beams are transported to experimental stations through four beamlines. In this work, a two-step semi-numerical optimization framework is presented to improve the transmission efficiency of these transport lines. At its core, the method relies on multiparticle simulations to account for beam losses and nonlinear effects, which render the problem analytically intractable. To address these complexities, a derivative-free global optimization framework is developed to systematically improve beam transmission in the cyclotron beamlines, and its effectiveness is demonstrated experimentally. In the first phase, the beam parameters at the beamline entrance are estimated using Bayesian optimization constrained by experimentally measured transmission ratios for selected optics configurations. In the second phase, the quadrupole gradients are optimized using the Covariance Matrix Adaptation Evolution Strategy (CMA-ES) to maximize beam transmission. Optimized settings computed using this simulation based semi numerical methodology were then experimentally validated, achieving beam transmissions exceeding 70%.

physics.acc-ph↗

Radiative neutron capture reaction rates for r-process nucleosynthesis

About half of the elements beyond iron are synthesized in stars by rapid-neutron capture process (r-process). The stellar environment provides very high neutron flux in a short time ($\sim$ seconds) which is conducive for the creation of progressively neutron-rich nuclei till the waiting point is reached after which no further neutron capture reactions proceed. At this point such extremely neutron-rich nuclei become stable via $β^-$ decay. A detailed understanding of the r-process remains illusive. In the present work, we explore the radiative neutron-capture (n,$γ$) cross sections and reaction rates around the r-process peak near mass number eighty. The inherent uncertainties remain large in some cases, particularly in case of neutron-rich nuclei. When the low-energy enhancement exists, it results in significant increase in the reaction rate for neutron-capture.

nucl-th↗

Magnitude distribution of earthquakes: Two fractal contact area distribution

The `plate tectonics' is an observed fact and most models of earthquake incorporate that through the frictional dynamics (stick-slip) of two surfaces where one surface moves over the other. These models are more or less successful to reproduce the well known Gutenberg-Richter type power law in the (released) energy distribution of earthquakes. During sticking period, the elastic energy gets stored at the contact area of the surfaces and is released when a slip occurs. Therefore, the extent of the contact area between two surfaces plays an important role in the earthquake dynamics and the power law in energy distribution might imply a similar law for the contact area distribution. Since, fractured surfaces are fractals and tectonic plate- earth's crust interface can be considered to have fractal nature, we study here the contact area distribution between two fractal surfaces. We consider the overlap set of two self-similar fractals, characterised by the same fractal dimensions, and look for their distribution. We have studied numerically the specific cases of both regular and random Cantor sets in one dimension and gaskets and percolation fractals in two dimension. We find that in all the cases the distributions show an universal finite size scaling behavior. The contact area distributions have got a power law decay for both regular and random Cantor sets and also for gaskets. However, for percolation clusters the distribution shows Gaussian variation.

cond-mat.stat-mech↗