Please use this identifier to cite or link to this item:
Authors: Claessens, Christine
Title: Event detection in Project 8 : Detection efficiency and its implications for the first tritium β-decay spectrum recorded with Cyclotron Radiation Emission Spectroscopy
Online publication date: 23-Mar-2021
Year of first publication: 2021
Language: english
Abstract: The Project 8 collaboration aims to measure the absolute antineutrino mass scale from the shape of the tritium β-decay spectrum near its endpoint. To this end, the collaboration has successfully established Cyclotron Radiation Emission Spectroscopy (CRES), a new frequency-based approach to detect electrons and determine their kinetic energy. The CRES event signal consists of a sudden onset of narrow-band power persisting for a short amount of time. In this thesis, an event detection system consisting of real-time triggering and offline event reconstruction has been developed. This system searches for the characteristic signal features in the continuously digitized and processed radio-frequency signal. Reconstructing the initial frequency of each electron event makes it possible to record a decay spectrum with high precision. Since the mass of the electron antineutrino is determined from the shape distortion it induces in the tritium spectrum near the high-energy endpoint, it is essential to quantify any dependence of the electron detection efficiency on energy or, equivalently, frequency. In this work, the detection efficiency has been measured and the importance of including it in the analysis for an accurate determination of the endpoint and the extraction of the antineutrino mass has been demonstrated. In addition, the efficiency uncertainty has been propagated in the analysis of the first tritium spectrum recorded with CRES and a precision requirement for a future CRES experiment with a 40 meV target sensitivity to the antineutrino mass has been determined.
DDC: 530 Physik
530 Physics
Institution: Johannes Gutenberg-Universität Mainz
Department: FB 08 Physik, Mathematik u. Informatik
Place: Mainz
URN: urn:nbn:de:hebis:77-openscience-ce157cb0-cdf8-4a00-860b-d04f3a1347b08
Version: Original work
Publication type: Dissertation
License: In Copyright
Information on rights of use:
Extent: xi, 219 Seiten, Illustrationen, Diagramme
Appears in collections:JGU-Publikationen

Files in This Item:
  File Description SizeFormat
claessens_christine-event_detectio-20210322112043013.pdf14.95 MBAdobe PDFView/Open