2020
DOI: 10.1103/physrevd.102.112002
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Discrimination of electronic recoils from nuclear recoils in two-phase xenon time projection chambers

Abstract: We present a comprehensive analysis of electronic recoil vs nuclear recoil discrimination in liquid/gas xenon time projection chambers, using calibration data from the 2013 and 2014-2016 runs of the Large Underground Xenon experiment. We observe strong charge-to-light discrimination enhancement with increased event energy. For events with S1 ¼ 120 detected photons, i.e., equivalent to a nuclear recoil energy of ∼100 keV, we observe an electronic recoil background acceptance of <10 −5 at a nuclear recoil signal… Show more

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Cited by 36 publications
(32 citation statements)
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“…4, right, features a slight asymmetry (skewness) that was also observed elsewhere [54,55]. This is due to DAQ and processing efficiencies, the low light level or charge loss and can be modelled with skew-Gaussians [56]. However, here the shape of the distribution is of less relevance to the analysis for we only extract its mean.…”
Section: Fitting Proceduresmentioning
confidence: 81%
“…4, right, features a slight asymmetry (skewness) that was also observed elsewhere [54,55]. This is due to DAQ and processing efficiencies, the low light level or charge loss and can be modelled with skew-Gaussians [56]. However, here the shape of the distribution is of less relevance to the analysis for we only extract its mean.…”
Section: Fitting Proceduresmentioning
confidence: 81%
“…Details on how the MI is estimated are given in [33]. Lower WIMP masses show a larger MI (signal and background are more readily distinguished) largely due to better discrimination in (S1, S2) space at lower energy [18,34]. This plot and other similar ones demonstrate that the NN has learned to summarize all relevant input information in a single dimension.…”
Section: B Mutual Informationmentioning
confidence: 74%
“…Because of the remaining external radioactivity from cavern walls, internal sources like U and Th within the photomultiplier tubes (PMTs) [15,16], and most importantly Rn contamination from the environment [17], discrimination of backgrounds at the level of data analysis remains a key requirement. It is largely achieved thanks to the S1 and S2 discrimination power: ER exhibits larger S2/S1 at fixed S1 than NR [18]. This discrimination is complicated by decays at the radial edge of the TPC ("wall backgrounds") where the S2 signal is degraded, leading to partial overlap with the NR region.…”
Section: The Lux Experimentsmentioning
confidence: 99%
“…For this analysis, data from WS2014-16 are used. Despite the challenges from the temporally varying gain factors (g 1 and g 2 ) and electric field distortions, WS2014-16 has been well-characterized by multiple analyses since LUX's decommissioning [31,36,37]. As the EFT ROI is significantly larger in fS1; S2g space than in the SI and SD WIMP analyses, implementation of data selection criteria are crucial for removing backgrounds, including: events with poor position reconstruction; multiple scatters with merged S2 signals; events with gaseous xenon interactions classified as the event's S2; and events with an overabundance of non-S1 and non-S2 pulses such as single photons and electrons not associated with the observed S1 or S2.…”
Section: Data Selectionmentioning
confidence: 99%