B. Paul

• At the extreme energy densities and temperatures produced in ultrarelativistic collisions of heavy nuclei, hadronic matter undergoes a transition into a state of deconfined quarks and gluons, known as quark–gluon plasma (QGP). The QGP supresses the production rate of quarkonium (bound state of a heavy quark and a heavy anti-quark). I studied this suppression of quarkonia production in Pb-Pb collisions using ALICE at centre-of-mass energy per nucleon 2.76 and 5.02 TeV. My results show a strong suppression of quarkonia and are in good agreement with theoretical calculations based on QGP. • In proton-nucleus collisions, other nuclear effects, not related to the presence of the QGP are present. These are typically referred to as cold nuclear matter (CNM) effects, as opposed to those related to the hot medium. The CNM effects lead to both suppression and enhancement of quarkonium production. I studied this suppression and enhancement of quarkonia production in proton-lead (p-Pb) collisions using ALICE at centre-of-mass energy per nucleon 5.02 and 8.16 TeV. My results are in good agreement with theoretical calculations based on CNM effects. • I studied the improvement of the performance of the Inner Tracking System of ALICE in terms of tracking precision and efficiency. I calculated signal to background ratio and significance of bottom baryon using Mechine Learning algorithm in Pb-Pb collisions at centre-of-mass energy per nucleon 5.5 TeV. • I performed the experiments and collected the data with ALICE detector at CERN. • I was involved in the installation of the grid computation system at Saha Institute of Nuclear Physics to process large amount of data collected at CERN and I built my own analysis framework to analyze the data from scratch. • To characterise the nuclear matter produced at diffenet centre-of-mass energies in different collision systems, I studied the quarkonium production in proton-proton, p-Pb and Pb-Pb collisions using ALICE at centre-of-mass energies 7, 5.02 and 2.76 TeV, respectively. • I did phenomenological model study of quarkonia in proton-proton collisions using non-relativistic quantum chromodynamics. • I did the maintenance of the Cathode Pad Chambers (CPC) of the muon tracking of ALICE Muon Spectrometer. • I am an experienced researcher having 12+ years of extensive research experience in the data analysis in experimental high energy physics using huge amount of data collected at A Large Ion Collider Experiment (ALICE) at CERN and physical interpretation of the obtained results using theoretical model calculations. • I am expert in simulation of the entire ALICE detector using geant4, particle production using pythia inside the detector, calculation of efficiency of the detector and efficiency of tracking and trigger systems related to the detector. • I studied the Inner Tracking System of ALICE based on new large-area curved sensors, recent feature offered by CMOS imaging sensor technologies. I calculated the efficiency of this detector, signal to background ratio and significance of particles using Machine Learning framework. • I am expert in C, C++, ROOT, ALIROOT, Python, Machine Learning, Geant4, Pythia, Grid Computation, Fortran and many other programming languages. • I am working with ALICE collaboration at CERN since 2010.