Study of background from accidental coincidence signals in the PandaX-II experiment

Abstract

The PandaX-II experiment employed a 580kg liquid xenon detector to search for the interactions between dark matter particles and the target xenon atoms. The accidental coincidences of isolated signals result in a dangerous background which mimic the signature of the dark matter. We performed a detailed study on the accidental coincidence background in PandaX-II, including the possible origin of the isolated signals, the background level and corresponding background suppression method. With a boosted-decision-tree algorithm, the accidental coincidence background is reduced by 70% in the dark matter signal region, thus the sensitivity of dark matter search at PandaX-II is improved.

20 pages, 12 figures in main text and 5 figures in the appendix. Accepted by Chinese Physics C

References in corpus (10)

• Results from a search for dark matter in the complete LUX exposure
• Dark Matter Results From 54-Ton-Day Exposure of PandaX-II Experiment
• Dark Matter Results from First 98.7-day Data of PandaX-II Experiment
• Boosted Decision Trees as an Alternative to Artificial Neural Networks for Particle Identification
• Dark Matter Search Results from the PandaX-4T Commissioning Run
• Current status of direct dark matter detection experiments
• Simultaneous Measurement of Ionization and Scintillation from Nuclear Recoils in Liquid Xenon as Target for a Dark Matter Experiment
• Results of Dark Matter Search using the Full PandaX-II Exposure
• Improving sensitivity to low-mass dark matter in LUX using a novel electrode background mitigation technique
• Determination of responses of liquid xenon to low energy electron and nuclear recoils using the PandaX-II detector

Cited by in corpus (6)

• Dark Matter Search Results from 1.54 Tonne$\cdot$Year Exposure of PandaX-4T
• A First Search for Solar ${}^8$B Neutrino in the PandaX-4T Experiment using Neutrino-Nucleus Coherent Scattering
• Exploring New Physics with PandaX-4T Low Energy Electronic Recoil Data
• Study of dielectric breakdown in liquid xenon with the XeBrA experiment
• Design Challenges for a Future Liquid Xenon Observatory
• Suppression of accidental backgrounds with deep neural networks in the PandaX-II experiment