Event Classification in Liquid Scintillator Using PMT Hit Patterns - for Neutrinoless Double Beta Decay Searches (Hardcover, 1st ed. 2019)

The search for neutrinoless double beta decay is one of the highest priority areas in particle physics today; it could provide insights to the nature of neutrino masses (currently not explained by the Standard Model) as well as how the universe survived its early stages. One promising experimental approach involves the use of large volumes of isotope-loaded liquid scintillator, but new techniques for background identification and suppression must be developed in order to reach the required sensitivity levels and clearly distinguish the signal. The results from this thesis constitute a significant advance in this area, laying the groundwork for several highly effective and novel approaches based on a detailed evaluation of state-of-the-art detector characteristics. This well written thesis includes a particularly clear and comprehensive description of the theoretical motivations as well as impressively demonstrating the effective use of diverse statistical techniques. The professionally constructed signal extraction framework contains clever algorithmic solutions to efficient error propagation in multi-dimensional space. In general, the techniques developed in this work will have a notable impact on the field.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Springer Theses
Release date:	November 2019
First published:	2019
Authors:	Jack Dunger
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	223
Edition:	1st ed. 2019
ISBN-13:	978-3-03-031615-0
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Science: general issues > Scientific standards Books > Science & Mathematics > Physics > Particle & high-energy physics Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General Promotions
LSN:	3-03-031615-7
Barcode:	9783030316150

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