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Search for Invisible Decays of the Higgs Boson Produced via Vector Boson Fusion at the LHC with CMS Run 2 data [electronic resource] / by Alp Akpinar.

By:

Akpinar, Alp [author.]

Contributor(s):

SpringerLink (Online service)

Material type:

TextSeries: Springer Theses, Recognizing Outstanding Ph.D. ResearchPublisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edition: 1st ed. 2024Description: XI, 134 p. 90 illus., 81 illus. in color. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783031783654

Subject(s):

Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleLOC classification:

QC793-793.5

Online resources:

Resursa online

Contents:

Chapter 1: Theoretical Background -- Chapter 2: Experimental Apparatus -- Chapter 3: Data Analysis Strategy -- Chapter 4: Results -- Chapter 5: Outlook.

In: Springer Nature eBookSummary: This thesis reports the latest measurements on one of the leading dark matter searches conducted by the Compact Muon Solenoid (CMS) experiment at CERN, leading to some of the most stringent constraints on hypothesized interactions between the Higgs boson and dark matter. The thesis also includes further research about the future outlook of the experiment, including exploratory research on the adaptation of deep learning models in future dark matter analyses to improve analysis sensitivity, and the design of a new type of data processing hardware to be used in the next phase of the CMS experiment.

Item type: List(s) this item appears in: Titluri cărți electronice Springer Nature 2025 (10631 titluri)

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Chapter 1: Theoretical Background -- Chapter 2: Experimental Apparatus -- Chapter 3: Data Analysis Strategy -- Chapter 4: Results -- Chapter 5: Outlook.

This thesis reports the latest measurements on one of the leading dark matter searches conducted by the Compact Muon Solenoid (CMS) experiment at CERN, leading to some of the most stringent constraints on hypothesized interactions between the Higgs boson and dark matter. The thesis also includes further research about the future outlook of the experiment, including exploratory research on the adaptation of deep learning models in future dark matter analyses to improve analysis sensitivity, and the design of a new type of data processing hardware to be used in the next phase of the CMS experiment.

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