4.7 Article

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

期刊

EUROPEAN PHYSICAL JOURNAL C
卷 81, 期 9, 页码 -

出版社

SPRINGER
DOI: 10.1140/epjc/s10052-021-09514-w

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资金

  1. Canada First Research Excellence Fund
  2. DGAPA-UNAM (PAPIIT) [IN108020]
  3. ConsejoNacional de Ciencia y Tecnologia (CONACyT, Mexico) [A1-S-8960]
  4. European Research Council [ERC StG 279980]
  5. UK Science and Technology Facilities Council (STFC) [ST/K002570/1, ST/R002908/1]
  6. Leverhulme Trust [ECF-20130496]
  7. Russian Science Foundation [21-7210065]
  8. Spanish Ministry of Science and Innovation [PID2019109374GB-I00]
  9. EU's Horizon 2020 research and innovation program [962480]
  10. Rutherford Appleton Laboratory Particle Physics Division
  11. SEPNet
  12. CFI
  13. Province of Ontario MRI
  14. International Research Agenda Programme AstroCeNT - Foundation for Polish Science (FNP) from the European Regional Development Fund [MAB/2018/7]
  15. STFC

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The DEAP-3600 detector searches for scintillation signal from dark matter particles by using pulse-shape discrimination to suppress the background from 39Ar beta decays. Two PSD estimators and algorithms are used to determine the number of detected photons, with the prompt-fraction performing similarly to the log-likelihood-ratio PSD algorithm if detector effects are not biased. An explanation is provided using a model for the information carried by scintillation photons as a function of the time when they are detected.
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.

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