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Conrad, Janet M. Moulai, Marjon H. Massachusetts Institute of Technology. Department of Physics 2022-05-24T19:18:48Z 2022-05-24T19:18:48Z 2021-06 2022-05-19T23:48:30.173Z https://hdl.handle.net/1721.1/142685 Longstanding anomalies in neutrino oscillation experiments point to the existence of a fourth, hypothetical neutrino: the sterile neutrino. Global fits to a sterile neutrino model find a strong preference for such a model over the massive neutrino Standard Model. However, the fit results suffer from inconsistencies between datasets, referred to as tension. This motivates more complicated models for new physics. This thesis considers a model of unstable sterile neutrinos, where the heaviest mass state can decay. First, the phenomenology of unstable sterile neutrinos is explored in the IceCube experiment, a gigaton neutrino detector located at the South Pole. Second, global fits to traditional and unstable sterile neutrino models are combined with one year of data from IceCube. A preference for the unstable sterile neutrino model is found, as well as a reduction in tension. Lastly, a high statistics search for unstable sterile neutrinos is performed in IceCube. The Standard Model is rejected with a 𝑝-value of 2.8% and the traditional sterile neutrino model is rejected with a 𝑝-value of 4.9%. The best-fit point is [formula] , [formula], and 𝑔² = 2.5𝜋 ± 1.5𝜋, where 𝑔 is the coupling that mediates the neutrino decay. The best-fit corresponds to a lifetime of the heaviest neutrino of 𝜏₄/𝑚₄ = 6 × 10⁻¹⁶ s/eV. A Bayesian analysis finds a best model with similar sterile parameters. Ph.D. Massachusetts Institute of Technology In Copyright - Educational Use Permitted Copyright MIT http://rightsstatements.org/page/InC-EDU/1.0/ Light, Unstable Sterile Neutrinos: Phenomenology, a Search in the IceCube Experiment, and a Global Picture Thesis application/pdf Doctoral Doctor of Philosophy Publication unknown unknown <Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="4394dda6-4bc7-4a4b-ac2e-6e7f363cf062"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Title>Light, Unstable Sterile Neutrinos: Phenomenology, a Search in the IceCube Experiment, and a Global Picture</Title> <PublishedIn> <Publication> </Publication> </PublishedIn> <PublicationDate>2021-06</PublicationDate> <Authors> <Author> <DisplayName>Moulai, Marjon H.</DisplayName> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Massachusetts Institute of Technology</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>http://rightsstatements.org/page/InC-EDU/1.0/</License> <Abstract>Longstanding anomalies in neutrino oscillation experiments point to the existence of a fourth, hypothetical neutrino: the sterile neutrino. Global fits to a sterile neutrino model find a strong preference for such a model over the massive neutrino Standard Model. However, the fit results suffer from inconsistencies between datasets, referred to as tension. This motivates more complicated models for new physics. This thesis considers a model of unstable sterile neutrinos, where the heaviest mass state can decay. First, the phenomenology of unstable sterile neutrinos is explored in the IceCube experiment, a gigaton neutrino detector located at the South Pole. Second, global fits to traditional and unstable sterile neutrino models are combined with one year of data from IceCube. A preference for the unstable sterile neutrino model is found, as well as a reduction in tension. Lastly, a high statistics search for unstable sterile neutrinos is performed in IceCube. The Standard Model is rejected with a 𝑝-value of 2.8% and the traditional sterile neutrino model is rejected with a 𝑝-value of 4.9%. The best-fit point is [formula] , [formula], and 𝑔² = 2.5𝜋 ± 1.5𝜋, where 𝑔 is the coupling that mediates the neutrino decay. The best-fit corresponds to a lifetime of the heaviest neutrino of 𝜏₄/𝑚₄ = 6 × 10⁻¹⁶ s/eV. A Bayesian analysis finds a best model with similar sterile parameters.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication>