Supersymmetric Beasts and Where to Find Them / Springer Theses (PDF)

Name: Supersymmetric Beasts and Where to Find Them / Springer Theses
Brand: Springer International Publishing
SKU: 142478684
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From Novel Hadronic Reconstruction Methods to Search Results in Large Jet Multiplicity Final States at the ATLAS Experiment (Sprache: Englisch)

Autor: Marco Valente

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After an extensive overview of the Standard Model and of the theory and phenomenology of Supersymmetry, this book describes the recent development of the ATLAS Particle Flow algorithm, a hadronic reconstruction technique aiming at enhancing the sensitivity of the experiment to new physics through the combination of the information from different ATLAS sub-detectors. The first ever ATLAS strong SUSY search exploiting this technique is also described, reporting the results and exclusion limits obtained using the complete proton-proton collision dataset recorded by the ATLAS experiment during the second Run of the Large Hadron Collider (LHC).

Autoren-Porträt von Marco Valente

I decided to become a particle physicist during my undergraduate studies at the École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland, where I graduated in 2016 with a thesis on the mixing and CP violation of neutral charmed meson systems with the LHCb experiment at CERN. This experience convinced me to continue my academic career with a PhD in Particle Physics with the University of Geneva, where I obtained in 2020 a PhD degree working on the reconstruction of hadronic final states and searches for supersymmetric particles using the ATLAS experiment, one of the flagship detectors of the Large Hadron Collider (LHC) facility at CERN. Today I am still performing my research within the ATLAS Collaboration as a postdoctoral researcher with the ATLAS group of TRIUMF, Canada's national particle accelerator centre.

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Autor: Marco Valente
2022, 1st ed. 2022, 223 Seiten, Englisch
Verlag: Springer International Publishing
ISBN-10: 3030940470
ISBN-13: 9783030940478
Erscheinungsdatum: 05.03.2022

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Grösse: 10 MB
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Englisch

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