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A boson learned from its context, an...
~
Roskes, Jeffrey.
A boson learned from its context, and a boson learned from its end
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
A boson learned from its context, and a boson learned from its endby Jeffrey Roskes.
作者:
Roskes, Jeffrey.
出版者:
Cham :Springer International Publishing :2020.
面頁冊數:
xvii, 130 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
標題:
Higgs bosons.
電子資源:
https://doi.org/10.1007/978-3-030-58011-7
ISBN:
9783030580117$q(electronic bk.)
A boson learned from its context, and a boson learned from its end
Roskes, Jeffrey.
A boson learned from its context, and a boson learned from its end
[electronic resource] /by Jeffrey Roskes. - Cham :Springer International Publishing :2020. - xvii, 130 p. :ill., digital ;24 cm. - Springer theses,2190-5053. - Springer theses..
Chapter 1: Introduction -- Chapter 2: The Experiment -- Chapter 3: Alignment and calibration of the CMS tracker -- Chapter 4: Phenomenology of Higgs boson interactions -- Chapter 5: Higgs boson data analysis -- Chapter 6: Conclusions and future directions.
This thesis develops fundamental ideas and advanced techniques for studying the Higgs boson's interactions with the known matter and force particles. The Higgs boson appears as an excitation of the Higgs field, which permeates the vacuum. Several other phenomena in our Universe, such as dark energy, dark matter, and the abundance of matter over antimatter, remain unexplained. The Higgs field may prove to be the connection between our known world and the "dark" world, and studies of the Higgs boson's interactions are essential to reveal possible new phenomena. The unique feature of this work is simultaneous measurement of the Higgs boson's associated production (its context, to use the language of the title) and its decay (its end), while allowing for multiple parameters sensitive to new phenomena. This includes computer simulation with Monte Carlo techniques of the complicated structure of the Higgs boson interactions, the matrix-element calculation of per-event likelihoods for optimal observables, and advanced fitting methods with hundreds of intricate components that cover all possible parameters and quantum mechanical interference. This culminates in the most advanced analysis of LHC data in the multi-parameter approach to Higgs physics in its single golden four-lepton decay channel to date. Optimization of the CMS detector's silicon-based tracking system, essential for these measurements, is also described.
ISBN: 9783030580117$q(electronic bk.)
Standard No.: 10.1007/978-3-030-58011-7doiSubjects--Topical Terms:
486358
Higgs bosons.
LC Class. No.: QC793.5.B62 / R67 2020
Dewey Class. No.: 539.721
A boson learned from its context, and a boson learned from its end
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