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Searches for the Supersymmetric Partner of the Top Quark, Dark Matter and Dark Energy at the ATLAS Experiment (Hardcover, 1st ed. 2019) Loot Price: R2,900
Discovery Miles 29 000
Searches for the Supersymmetric Partner of the Top Quark, Dark Matter and Dark Energy at the ATLAS Experiment (Hardcover, 1st...

Searches for the Supersymmetric Partner of the Top Quark, Dark Matter and Dark Energy at the ATLAS Experiment (Hardcover, 1st ed. 2019)

Nicolas Maximilian Koehler

Series: Springer Theses

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Loot Price R2,900 Discovery Miles 29 000 | Repayment Terms: R272 pm x 12*

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Astrophysical observations implying the existence of Dark Matter and Dark Energy, which are not described by the Standard Model (SM) of particle physics, have led to extensions of the SM predicting new particles that could be directly produced at the Large Hadron Collider (LHC) at CERN. Based on 2015 and 2016 ATLAS proton-proton collision data, this thesis presents searches for the supersymmetric partner of the top quark, for Dark Matter, and for DarkEnergy, in signatures with jets and missing transverse energy. Muon detection is key to some of the most important LHC physics results, including the discovery of the Higgs boson and the measurement of its properties. The efficiency with which muons can be detected with the ATLAS detector is measured using Z boson decays. The performance of high-precision Monitored Drift Tube muon chambers under background rates similar to the ones expected for the High Luminosity-LHC is studied.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Springer Theses
Release date: September 2019
First published: 2019
Authors: Nicolas Maximilian Koehler
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 263
Edition: 1st ed. 2019
ISBN-13: 978-3-03-025987-7
Categories: Books > Science & Mathematics > Mathematics > Applied mathematics > General
Books > Science & Mathematics > Physics > Relativity physics > General
Books > Science & Mathematics > Physics > Quantum physics (quantum mechanics) > General
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LSN: 3-03-025987-0
Barcode: 9783030259877

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