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Shubhchintak

Researcher at Université libre de Bruxelles

Publications -  38
Citations -  173

Shubhchintak is an academic researcher from Université libre de Bruxelles. The author has contributed to research in topics: Born approximation & Neutron. The author has an hindex of 7, co-authored 35 publications receiving 145 citations. Previous affiliations of Shubhchintak include Texas A&M University & Texas A&M University–Commerce.

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Primordial ${\alpha} + d \to {}^{6}{\rm Li} + \gamma$ reaction and second Lithium puzzle

TL;DR: In this article, the angular distribution of the photon was calculated in the potential model and the expressions for the total cross section and astrophysical factor were derived by integrating the differential cross section over the photon's solid angle.
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Subthreshold resonances and resonances in the R -matrix method for binary reactions and in the Trojan horse method

TL;DR: In this article, the authors discussed the relationship between the resonance width and the asymptotic normalization coefficient (ANC) with the observable reduced width, when the sub-threshold bound state is the only channel or coupled with an open channel, which is a resonance.
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Impact of the 7Be(α, γ)11C Reaction on the Primordial Abundance of 7Li

TL;DR: In this article, the radiative capture cross section for 7Be(?,?)11C and its reaction rate of relevance for the Big Bang nucleosynthesis (BBN) were calculated.
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Impact of the $^7$Be($\alpha, \gamma$)$^{11}$C reaction on the primordial abundance of $^7$Li

TL;DR: In this article, the radiative capture cross section for the primordial lithium abundance is revised including narrow and broad resonances in the pertinent energy region, and the authors conclude that the impact of this reaction on the so-called cosmological lithium puzzle is completely irrelevant.
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Transfer reactions with the Lagrange-mesh method

TL;DR: In this article, the authors apply the $R$-matrix method in distorted wave Born approximation (DWBA) calculations, which provides an efficient and fast technique to compute matrix elements.