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Record Nr. |
UNINA9910155332203321 |
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Autore |
Schramm Steven |
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Titolo |
Searching for Dark Matter with the ATLAS Detector / / by Steven Schramm |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
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ISBN |
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Edizione |
[1st ed. 2017.] |
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Descrizione fisica |
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1 online resource (XXIII, 324 p. 145 illus., 135 illus. in color.) |
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Collana |
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Springer Theses, Recognizing Outstanding Ph.D. Research, , 2190-5053 |
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Disciplina |
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Soggetti |
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Particles (Nuclear physics) |
Quantum field theory |
Cosmology |
Gravitation |
Elementary Particles, Quantum Field Theory |
Classical and Quantum Gravitation, Relativity Theory |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Introduction -- Contributions -- Theoretical Background and Motivation for Dark Matter -- The ATLAS Experiment -- ATLAS Reconstruction and Performance -- Jet Reconstruction and Performance -- The Mono-jet Analysis -- Mono-jet Dark Matter Interpretation -- Mono-jet Prospects at an Upgraded LHC -- Conclusions. . |
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Sommario/riassunto |
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This thesis describes the search for Dark Matter at the LHC in the mono-jet plus missing transverse momentum final state, using the full dataset recorded in 2012 by the ATLAS Experiment. It is the first time that the number of jets is not explicitly restricted to one or two, thus increasing the sensitivity to new signals. Instead, a balance between the most energetic jet and the missing transverse momentum is required, thus selecting mono-jet-like final states. Collider searches for Dark Matter have typically used signal models employing effective field theories (EFTs), even when comparing to results from direct and indirect detection experiments, where the difference in energy scale renders many such comparisons invalid. The thesis features the first |
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robust and comprehensive treatment of the validity of EFTs in collider searches, and provides a means by which the different classifications of Dark Matter experiments can be compared on a sound and fair basis. |
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