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Books > Science & Mathematics > Physics > Relativity physics

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Searching for Dark Matter with the ATLAS Detector (Hardcover, 1st ed. 2017) Loot Price: R4,229
Discovery Miles 42 290
Searching for Dark Matter with the ATLAS Detector (Hardcover, 1st ed. 2017): Steven Schramm

Searching for Dark Matter with the ATLAS Detector (Hardcover, 1st ed. 2017)

Steven Schramm

Series: Springer Theses

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Loot Price R4,229 Discovery Miles 42 290 | Repayment Terms: R396 pm x 12*

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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 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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Springer Theses
Release date: December 2016
First published: 2017
Authors: Steven Schramm
Dimensions: 235 x 155 x 21mm (L x W x T)
Format: Hardcover
Pages: 324
Edition: 1st ed. 2017
ISBN-13: 978-3-319-44452-9
Categories: Books > Science & Mathematics > Physics > Nuclear structure physics
Books > Science & Mathematics > Physics > Particle & high-energy physics
Books > Science & Mathematics > Physics > Classical mechanics > General
Books > Science & Mathematics > Physics > Relativity physics > General
LSN: 3-319-44452-2
Barcode: 9783319444529

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