Investigation of a Charge Insensitive Volume in XENONnT, Analysis of 
Goodness-of-Fit Techniques, and Feasibility Studies for an Automated Krypton 
Assay System

Hammann, Robert

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Investigation of a Charge Insensitive Volume in XENONnT, Analysis of Goodness-of-Fit Techniques, and Feasibility Studies for an Automated Krypton Assay System

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Hammann, Robert
Division Prof. Dr. Manfred Lindner, MPI for Nuclear Physics, Max Planck Society;

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Citation

Hammann, R. (2022). Investigation of a Charge Insensitive Volume in XENONnT, Analysis of Goodness-of-Fit Techniques, and Feasibility Studies for an Automated Krypton Assay System. Master Thesis, Ruprecht-Karls-Universität, Heidelberg.

Cite as: https://hdl.handle.net/21.11116/0000-000B-5364-7

Abstract

The XENONnT experiment aims to directly detect dark matter (DM) particles using a dual-phase xenon time projection chamber (TPC). A particle interaction is detected via a prompt light signal and a delayed charge signal. In this work, three aspects essential for the direct search for DM are explored. To contribute to the general characterization of the XENONnT detector, the existence of a volume in the TPC is verified that exhibits a partial or complete loss of the charge signal. This region accounts for about 3 % of the active volume and is largest in the lower outer part of the TPC. The second part of this work focuses on a systematic study to find suitable goodnessof-fit (GOF) tests for the analysis of typical recoil bands of XENONnT. A strong dependence of the GOF test result on the binning is investigated and a solution using an irregular binning scheme is presented. Compared to several other GOF tests, the tests using this binning are best suited for identifying fits with incomplete models. In the third part, a contribution is made to the development of a system for the fully automated krypton assay of future DM detectors by providing a proof of concept for an automated gas chromatography system. The system parameter stability of the prototype is demonstrated under realistic conditions with relative errors below 0.15 %.