Horizontal Position Reconstruction in PandaX-II
Dan Zhang, Andi Tan, Abdusalam Abdukerim, Wei Chen, Xun Chen, Yunhua, Chen, Chen Cheng, Xiangyi Cui, Yingjie Fan, Deqing Fang, Changbo Fu, Mengting, Fu, Lisheng Geng, Karl Giboni, Linhui Gu, Xuyuan Guo, Ke Han, Changda He,, Shengming He, Di Huang, Yan Huang, Yanlin Huang
TL;DR
This paper presents two optimized algorithms for reconstructing the horizontal positions of events in the PandaX-II dark matter detector, improving spatial resolution using photon distribution data.
Contribution
It introduces two novel algorithms for horizontal position reconstruction in a dual-phase xenon TPC, optimized with calibration data and based on photon distribution analysis.
Findings
Uncertainty of 3.4 mm in analytical algorithm
Uncertainty of 3.9 mm in simulation-based algorithm
Algorithms validated with calibration events
Abstract
Dual-phase noble-gas time projection chambers (TPCs) have improved the sensitivities for dark matter direct search in past decades. The capability of TPCs to reconstruct 3-D vertexes of keV scale recoilings is one of the most advantageous features. In this work, we develop two horizontal position reconstruction algorithms for the PandaX-II dark matter search experiment using the dual-phase liquid xenon TPC. Both algorithms are optimized by the Kr calibration events and use photon distribution of ionization signals among photomultiplier tubes to infer the positions. According to the events coming from the gate electrode, the uncertainties in the horizontal positions are 3.4 mm (3.9 mm) in the analytical (simulation-based) algorithm for an ionization signal with several thousand photon electrons in the center of the TPC
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