Published 2021 | Version v1
Journal article

Pulse-shape discrimination against low-energy Ar-39 beta decays in liquid argon with 4.5 tonne-years of DEAP-3600 data

  • 1. Department of Physics, Carleton University, K1S 5B6, Ottawa, ON (Canada)
  • 2. Arthur B. McDonald Canadian Astroparticle Physics Research Institute, Queen's University, K7L 3N6, Kingston, ON (Canada)
  • 3. Instituto de Física, Universidad Nacional Autónoma de México, A. P. 20-364, 01000, Mexico, D.F. (Mexico)

Description

The DEAP-3600 detector searches for the scintillation signal from dark matter particles scattering on a 3.3 tonne liquid argon target. The largest background comes from 39Ar beta decays and is suppressed using pulse-shape discrimination (PSD). We use two types of PSD estimator: the prompt-fraction, which considers the fraction of the scintillation signal in a narrow and a wide time window around the event peak, and the log-likelihood-ratio, which compares the observed photon arrival times to a signal and a background model. We furthermore use two algorithms to determine the number of photons detected at a given time: (1) simply dividing the charge of each PMT pulse by the mean single-photoelectron charge, and (2) a likelihood analysis that considers the probability to detect a certain number of photons at a given time, based on a model for the scintillation pulse shape and for afterpulsing in the light detectors. The prompt-fraction performs approximately as well as the log-likelihood-ratio PSD algorithm if the photon detection times are not biased by detector effects. We explain this result using a model for the information carried by scintillation photons as a function of the time when they are detected.

Availability note (English)

Available from: http://dx.doi.org/10.1140/epjc/s10052-021-09514-w

Additional details

Publishing Information

Journal Title
European Physical Journal. C, Particles and Fields (Online)
Journal Volume
81
Journal Issue
9
Journal Page Range
vp.
ISSN
1434-6052
CODEN
EPCFFB

Optional Information

Notes
AID: 823
Collaborations
DEAP Collaboration