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04016nam a2200565 4500 |
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978-3-030-31616-7 |
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20191113214515.0 |
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191113s2019 gw | s |||| 0|eng d |
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|a 9783030316167
|9 978-3-030-31616-7
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|a 10.1007/978-3-030-31616-7
|2 doi
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|a QC770-798
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|a 539.73
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|a Dunger, Jack.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Event Classification in Liquid Scintillator Using PMT Hit Patterns
|h [electronic resource] :
|b for Neutrinoless Double Beta Decay Searches /
|c by Jack Dunger.
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|a 1st ed. 2019.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2019.
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|a XVII, 223 p. 166 illus., 102 illus. in color.
|b online resource.
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|a text
|b txt
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|a computer
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|a online resource
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|a text file
|b PDF
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|a Springer Theses, Recognizing Outstanding Ph.D. Research,
|x 2190-5053
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|a Theory -- The SNO+ Experiment -- Reconstruction -- Backgrounds -- Pulse Shape Discrimination for Internal Backgrounds -- Pulse Shape Discrimination of External Backgrounds -- The OXO Signal Extraction Framework -- 0νββ Extraction -- Neutrinoless Double Beta Decay with Slow Scintillator -- Conclusions -- Appendices.
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|a 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.
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|a Particle acceleration.
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|a Signal processing.
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|a Image processing.
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|a Speech processing systems.
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|a Statistics .
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|a Physical measurements.
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|a Measurement .
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|a Particle Acceleration and Detection, Beam Physics.
|0 http://scigraph.springernature.com/things/product-market-codes/P23037
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|a Signal, Image and Speech Processing.
|0 http://scigraph.springernature.com/things/product-market-codes/T24051
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|a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
|0 http://scigraph.springernature.com/things/product-market-codes/S17020
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|a Measurement Science and Instrumentation.
|0 http://scigraph.springernature.com/things/product-market-codes/P31040
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783030316150
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|i Printed edition:
|z 9783030316174
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|i Printed edition:
|z 9783030316181
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|a Springer Theses, Recognizing Outstanding Ph.D. Research,
|x 2190-5053
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|u https://doi.org/10.1007/978-3-030-31616-7
|z Full Text via HEAL-Link
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|a ZDB-2-PHA
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|a Physics and Astronomy (Springer-11651)
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