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Differential spectrum modeling and sensitivity for keV sterile neutrino search at KATRIN

Descher, Martin 1
1 Institut für Astroteilchenphysik (IAP), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

Starting in 2026, the KATRIN experiment will conduct a high-statistics measurement of the differential tritium $\beta$-spectrum to energies deep below the kinematic endpoint. This enables the search for keV sterile neutrinos with masses less than the kinematic endpoint energy $m_\mathrm{4} \leq E_0 = 18.6\,\mathrm{keV}$, aiming for a statistical sensitivity of $|U_\mathrm{e4}|^2=\sin^2\theta\sim 10^{-6}$ for the mixing amplitude. The differential spectrum is obtained by decreasing the retarding potential of KATRIN's main spectrometer, and by determining the $\beta$-electron energies by their energy deposition in the new TRISTAN SDD array. In this mode of operation, the existing integral model of the tritium spectrum is insufficient, and a novel differential model is developed in this work.

The new model (TRModel) convolves the differential tritium spectrum using responese matrices to predict the energy spectrum of registered events after data acquisition. Each response matrix encodes the spectral spectral distrortion from individual experimental effects, which depend on adjustable systematic parameters. This approach allows to efficiently assess the sensitivity impact of each systematics individually or in combination with others. ... mehr


Volltext §
DOI: 10.5445/IR/1000166956
Veröffentlicht am 11.01.2024
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Astroteilchenphysik (IAP)
Institut für Experimentelle Teilchenphysik (ETP)
Publikationstyp Hochschulschrift
Publikationsdatum 11.01.2024
Sprache Englisch
Identifikator KITopen-ID: 1000166956
Verlag Karlsruher Institut für Technologie (KIT)
Umfang 213 S.
Art der Arbeit Dissertation
Fakultät Fakultät für Physik (PHYSIK)
Institut Institut für Experimentelle Teilchenphysik (ETP)
Prüfungsdatum 07.07.2023
Schlagwörter KATRIN, TRISTAN, sterile neutrino, systematic, sensitivity, modeling, differential spectrum, simulation, convolution, python
Referent/Betreuer Drexlin, Guido
Mertens, Susanne
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