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  Gas Purity Analytics, Calibration Studies, and Background Predictions towards the First Results of XENON1T

Hasterok, C. (2017). Gas Purity Analytics, Calibration Studies, and Background Predictions towards the First Results of XENON1T. PhD Thesis, Ruprecht-Karls-Universität, Heidelberg.

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Hasterok, Constanze1, Author           
Lindner, Manfred, Referee
Gastaldo, Loredana, Referee
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1Division Prof. Dr. Manfred Lindner, MPI for Nuclear Physics, Max Planck Society, ou_904549              

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 Abstract: The XENON1T experiment aims at the direct detection of the well motivated dark matter candidate of weakly interacting massive particles (WIMPs) scattering off xenon nuclei. The first science run of 34.2 live days has already achieved the most stringent upper limit on spin-independent WIMP-nucleon cross-sections above masses of 10GeV with a minimum of 7:7 x 10-47cm2- at a mass of 35GeV. Crucial for this unprecedented sensitivity are a high xenon gas purity and a good understanding of the background. In this work, a procedure is described that was developed to measure the purity of the experiment’s xenon inventory of more than three tons during its initial transfer to the detector gas system. The technique of gas chromatography has been employed to analyze the noble gas for impurities with the focus on oxygen and krypton contaminations. Furthermore, studies on the calibration of the experiment’s dominating background induced by natural gamma and beta radiation were performed. Hereby, the novel sources of radioactive isotopes that can be dissolved in the xenon were employed, namely 220Rn and tritium. The sources were analyzed in terms of a potential impact on the outcome of a dark matter search. As a result of the promising findings for 220Rn, the source was successfully deployed in the first science run of XENON1T. The first WIMP search of XENON1T is outlined in this thesis, in which a background component from interactions taking place in close proximity to the detector wall is identified, investigated and modeled. A background prediction was derived that was incorporated into the background model of the WIMP search which was found to be in good agreement with the observation

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 Dates: 2017-10-25
 Publication Status: Accepted / In Press
 Pages: VIII, 170 S. : Ill., graph. Darst.
 Publishing info: Heidelberg : Ruprecht-Karls-Universität
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.17617/2.2495807
 Degree: PhD

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