Performance study of future Λb production with ALICE3
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The potential for the performance of the measurement of the Λb of the proposed experimental setup ALICE3 during run 5 at the Large Hadron Collider has been studied and is reported in this thesis. The focus was on the optimization of the statistical significance in both proton-proton and Pb-Pb collisions by utilizing selection criteria and machine learning algorithms. This study shows that these measurements are very much feasible in both collision systems reaching values for the significance above 100 in multiple fine bins between 3.0 < pT < 10.0 GeV/c. The optimal analysis strategy has been achieved by the inclusion of particle identification with the time-of-flight and ring cherenkov detector, and parameters of the daughters and granddaughters of the Λb candidates. Further improvements in the low- and high-pT regions are suggested to cater to the physics performance of the detector.