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Search for heavy ZZ resonances in the 4ℓ final state with the ATLAS detector and identifying muons in the ATLAS calorimeter using machine learning
Published 2021“…<p>This doctoral thesis explores two lines of work: (i) a search for heavy Higgs-like resonances decaying via two Z bosons to four leptons, and (ii) the development of a novel algorithm for tagging muons in the ATLAS calorimeters.</p> <p>The search concerns signatures of an extended Higgs sector motivated by extensions to the Standard Model of particle physics that address the large discrepancy between the gravitational and the electroweak energy scales known as the hierarchy problem. …”
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Superconductive bolometers and calorimeters
Published 1996“…Superconducting bolometers and calorimeters are used in many applications, such as infrared astronomy, fast spectroscopy of condensed matter excitations or even in particle physics and plasma diagnostics. …”
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Readiness of the ATLAS Tile Calorimeter for LHC collisions
Published 2018Get full text
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Determination of the absolute jet energy scale in the DO calorimeters
Published 1999“…To measure jets, the detector uses a sampling calorimeter composed of uranium and liquid argon as the passive and active media, respectively, Understanding the jet energy calibration is not only crucial for precision tests of QCD, but also for the measurement of particle masses and the determination of physics backgrounds associated with new phenomena. …”
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Readiness of the ATLAS liquid argon calorimeter for LHC collisions
Published 2018Get full text
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Machine Learning Techniques for Pile-Up Rejection in Cryogenic Calorimeters
Published 2022Get full text
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Probing axion-like particles at the Electron-Ion Collider
Published 2024“…The Electron-Ion Collider (EIC), a forthcoming powerful high-luminosity facility, represents an exciting opportunity to explore new physics. In this article, we study the potential of the EIC to probe the coupling between axion-like particles (ALPs) and photons in coherent scattering. …”
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Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics
Published 2022“…<jats:p>Graph neural networks have been shown to achieve excellent performance for several crucial tasks in particle physics, such as charged particle tracking, jet tagging, and clustering. …”
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Advanced Reconstruction Techniques for CUORE: Searching Beyond the Standard Model with Cryogenic Calorimeters
Published 2024“…CUORE uses the cryogenic calorimeter technique, resolving the thermal signatures from nuclear/particle interactions within crystal absorbers for precise determination of deposited energy. …”
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A likelihood framework for cryogenic scintillating calorimeters used in the CRESST dark matter search
Published 2024“…Cryogenic scintillating calorimeters are ultra- sensitive particle detectors for rare event searches, particularly for the search for dark matter and the measurement of neutrino properties. …”
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