A Boson Learned from its Context, and a Boson Learned from its End

Author:   Jeffrey Roskes
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
ISBN:  

9783030580100


Pages:   130
Publication Date:   20 November 2020
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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A Boson Learned from its Context, and a Boson Learned from its End


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Overview

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.

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Author:   Jeffrey Roskes
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
Weight:   0.454kg
ISBN:  

9783030580100


ISBN 10:   3030580105
Pages:   130
Publication Date:   20 November 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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.

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"Jeffrey ""Heshy"" Roskes was born in July, 1993 in Baltimore, Maryland, where he has lived his entire life. He attended Johns Hopkins University, also in Baltimore, receiving a B.S. in 2014 in Physics with University and Departmental Honors and a second major in Mathematics. During his undergraduate career, he received the Donald E. Kerr Memorial Award in Physics, and he earned membership in Phi Beta Kappa and Sigma Pi Sigma. As an undergraduate, Heshy began working as a research assistant on the CMS experiment, focusing on alignment of the CMS tracker. He was awarded a Dean’s Undergraduate Research Award to travel to CERN and work on the project there. Heshy enrolled in the physics Ph.D. program at Hopkins, continuing his work in the CMS project. He was awarded the Donald E. Kerr Sr. and Barbara Kerr Stanley Fellowship as well as the William Gardner Fellowship. He continued his work in tracker alignment, eventually serving as convener of the CMS tracker alignment group, and developed many analyses to study and characterize the Higgs boson. Heshy authored numerous papers as a member of the CMS Collaboration and was a main author of a series of papers analyzing properties of the Higgs boson. He is an author of the JHUGen and MELA package, and in that role co-authored a Higgs Cross Section Working Group report and an independent paper. He taught several basic and advanced physics courses as a graduate student. Heshy is currently working in data science as applied to medical imaging at the Institute for Data Intensive Engineering and Science, also at Hopkins."

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