Browsing by Author "Triambak, Smarajit"
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Item Nuclear structure studies in the A=136 region using transfer reactions(University of the Western Cape, 2018) Rebeiro, Bernadette M.; Triambak, SmarajitThis thesis describes research work undertaken to study neutron pairing correlations in 136Ba via the 138Ba(p, t) pair transfer reaction and to perform high-precision spectroscopy of low-lying states in 136Cs using the 138Ba(d, ) reaction. The aim of this project was to provide useful spectroscopic information relevant for matrix element calculations of 136Xe neutrinoless double beta decay. This work is relevant because neutrinoless double beta decays are standard-model-forbidden lepton number violating processes, which if observed, would establish the Majorana nature of the neutrinos and also determine the absolute mass scale of the light Majorana neutrinos. Our experiments show a signi cant fragmentation of the two-neutron transfer (p, t) strength to excited 0+ states in 136Ba, which could signi cantly affect future matrix element calculations. Additionally we obtain information on 65 new states in 136Cs observed in this work. It is anticipated that these new information will play a vital role in improving the precision of calculated matrix elements for 136Xe double beta decays.Item Plausible explanation for the third COVID-19 wave in India and its implications(KeAi Communications, 2023) Triambak, Smarajit; Mahapatra, Durga Prasad; Barik, NiranjanRecently some of us used a random-walk Monte Carlo simulation approach to study the spread of COVID-19. The calculations were reasonably successful in describing secondary and tertiary waves of infection, in countries such as the USA, India, South Africa and Serbia. However, they failed to predict the observed third wave for India. In this work we present a more complete set of simulations for India, that take into consideration two aspects that were not incorporated previously. These include the stochastic movement of an erstwhile protected fraction of the population, and the reinfection of some recovered individuals because of their exposure to a new variant of the SARS-CoV-2 virus. The extended simulations now show the third COVID-19 wave for India that was missing in the earlier calculations. They also suggest an additional fourth wave, which was indeed observed during approximately the same time period as the model prediction.