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9 papers · 1 filter
Deep learning predicted elliptic flow of identified particles in heavy-ion collisions at the RHIC and LHC energies
Neelkamal Mallick, Suraj Prasad, Aditya Nath Mishra +2
Recent developments on a deep learning feed-forward network for estimating elliptic flow () coefficients in heavy-ion collisions have shown us the prediction power of this tec…
and M1 radiative transitions involving heavy-light axial, pseudoscalar and vector quarkonia in the framework of Bethe-Salpeter equation
Vaishali Guleria, Eshete Gebrehana, Shashank Bhatnagar
This work is an extension of our previous work in \cite{bhatnagar20} to calculate M1 transitions, , and E1 transitions involving axial vector mesons suc…
Mass spectra and decay constants of heavy-light axial quarkonia in the framework of Bethe-Salpeter equation
Vaishali Guleria, Shashank Bhatnagar
In this work we calculate the mass spectrum and decay constants of ground and excited states of heavy-light -wave mesons such as and , with quark composition, $…
Radiative decays of heavy-light quarkonia through , and transitions in the framework of Bethe-Salpeter equation
Shashank Bhatnagar, Eshete Gebrehana
In this work we study the radiative decays of heavy-light quarkonia through M1 and E1 transitions, that involve quark-triangle diagrams with two hadron vertices, and are difficult…
Analytic approach to calculations of mass spectra and decay constants of heavy-light quarkonia in the framework of Bethe-Salpeter equation
Eshete Gebrehana, Shashank Bhatnagar, Hluf Negash
This work is an extension of the work in \cite{bhatnagar18} to ground and excited states of , and of heavy-light ($c\overline{u}, c\overline{s}, b\overline…
Two simple textures of the magic neutrino mass matrix
Kanwaljeet S. Channey, Sanjeev Kumar
The Tri-Bimaximal (TBM) mixing predicts a vanishing . This can be attributed to the inherited symmetry of TBM mixing. We break its symmetry by adding a complex…