Thesis defense of Noemi Cavalli
- Defense
In this thesis, a search for same-sign top quark pairs produced accordingto the Standard Model Effective Field Theory (SMEFT) is presented. The analysis is carried out within the ATLAS Collaboration using collision data at a center-of-mass energy of √s = 13 TeV, collected by the ATLAS detector during the Run 2 of the Large Hadron Collider, corresponding to an integrated luminosity of 140 fb−1. Three SMEFT operators are considered in the analysis, namely ORR, O(1) LR, and O(8) LR. The signal associated to same-sign top pairs is searched in the dilepton channel, with the top quarks decaying via t −→ W+b −→ ℓ+νb, leading to a final state signature composed of a pair of high-transverse momentum same-sign leptons and b-jets. Deep Neural Networks are employed in the analysis to enhance sensitivity to the different SMEFT operators and to perform signal-background discrimination. This is the first result of the ATLAS Collaboration concerning the search for same-sign top quark pairs production in proton-proton collision data at √s = 13 TeV, in the framework of the SMEFT.
![3D visualisation of human neuronal tissue reconstructed by multi-scale X-ray phase contrast tomography. Neuronal cell nuclei are shown in yellow for the granule neurons in the dentate gyrus region of the hippocampus. Blood vessels are shown in red. By changing the X-ray optical magnification in the multi-scale recordings, one can zoom into regions-of-interest (red ovals). In these scans the resolution is high enough to resolve sub-structures of the nucleus, associated with different DNA packing regimes. Adapted from [6]](/storages/physik/_processed_/e/4/csm_Kolloquium_Salditt_0e30a3f090.png)





