First Results from the LUX Dark Matter Experiment at the Sanford Underground Research Facility

Akerib, D. S.; Araújo, H. M.; Bai, X.; Bailey, A. J.; Balajthy, J.; Bedikian, S.; Bernard, E. P.; Bernstein, Adam; Bolozdynya, A.; Bradley, A.; Byram, D.; Cahn, S. B.; Carmona-Benitez, M. C.; Chan, C.; Chapman, Jeremy; Chiller, A. A.; Chiller, C.; Clark, K.; Coffey, T.; Currie, A.; Curioni, A.; Dazeley, S.; Viveiros, L. de; Dobi, A.; Dobson, J.; Dragowsky, E. M.; Druszkiewicz, E.; Edwards, B. N.; Faham, C.H.; Fiorucci, S.; Flores, C.; Gaitskell, R. J.; Gehman, V. M.; Ghag, C.; Gibson, K.; Gilchriese, M.; Hall, C.; Hanhardt, M.; Hertel, S. A.; Horn, M.; Huang, Di; Ihm, M.; Jacobsen, R. G.; Kastens, L.; Kazkaz, K.; Knoche, R.; Kyre, S.; Lander, R.; Larsen, N. A.; Lee, C.; Leonard, D. S.; Lesko, K. T.; Lindote, A.; Lopes, I.; Lyashenko, A.; Malling, D.C.; Mannino, R. L.; McKinsey, D. N.; Mei, D. M.; Möck, J.; Moongweluwan, M.; Morad, J. A.; Morii, M.; Murphy, A. St. J.; Nehrkorn, C.; Nelson, H. N.; Neves, F.; Nikkel, J.; Ott, R. A.; Pangilinan, M.; Parker, P. D.; Pease, E. K.; Pech, K.; Phelps, P.; Reichhart, L.; Shutt, T.; Silva, C.; Skulski, W.; Sofka, C.; Solovov, V.; Sørensen, P.; Stiegler, T.; O’Sullivan, K.; Sumner, T. J.; Svoboda, R.; Sweany, Melinda; Szydagis, M.; Taylor, D. J.; Tennyson, B. P.; Tiedt, D. R.; Tripathi, M.; Uvarov, S.; Verbus, J.R.; Walsh, N.; Webb, R.; White, J. T.; White, D.; Witherell, M. S.; Wlasenko, M.; Wolfs, F. L. H.; Woods, M.; Zhang, C.

doi:10.1103/physrevlett.112.091303

Cited by 1,474 publications

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“…The smallest S2 signal in LUX is one induced by a single extracted electron from the liquid surface. Such a signal on average has a total size of 24.6 phe [6]. Figure 26 shows that the LUX trigger system is capable of triggering on signals from single extracted electrons.…”

Section: Sample Triggered Low Energy Eventmentioning

confidence: 99%

“…Utilizing the trigger in this way minimized the chances of discarding potentially good events, while still offering significant savings in computational resources needed during event building. The measured trigger efficiency reaches 99.9% for S2 pulses with a total size of 100 phe [25], which is a comfortable margin away from the 200 phe lower S2 cut in the experiments' first WIMP search analysis [6].…”

Section: First Wimp Searchmentioning

confidence: 99%

“…The results of the simulations for a nominal Figure 10: S1 filter dynamic range for a single DDC-8DSP channel for different filter widths (n). For reference: a) 30 phe S1 upper cut for Run3 WIMP search [6], b) The full 137 Cs energy deposition peak from the 662 keV γ-rays appears at 5624 phe (562 phe per trigger channel of the bottom PMTs) [14], c) S1 pulses from γ ray events reach up to 1.5 × 10 4 phe (1500 phe per trigger channel of the bottom PMTs) [15].…”

Section: Dynamic Rangementioning

confidence: 99%

“…The first WIMP search based on the analysis of 85.3 livedays of data with a fiducial volume of 118 kg, allowed for setting a limit on spin-independent WIMP-nucleon elastic scattering with a minimum upper limit on the cross section of 7.6 × 10 −46 cm 2 at a WIMP mass of 33 GeV/c 2 [6]. Currently the LUX experiment is in its 300-day run, that is due to conclude mid 2016 and will further improve the limit.…”

Section: Introductionmentioning

confidence: 99%

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FPGA-based trigger system for the LUX dark matter experiment

Akerib

Araújo

Bai

et al. 2016

Nuclear Instruments and Methods in Physics Research Section A:

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LUX is a two-phase (liquid/gas) xenon time projection chamber designed to detect nuclear recoils resulting from interactions with dark matter particles. Signals from the detector are processed with an FPGA-based digital trigger system that analyzes the incoming data in real-time, with just a few microsecond latency. The system enables first pass selection of events of interest based on their pulse shape characteristics and 3D localization of the interactions. It has been shown to be >99% efficient in triggering on S2 signals induced by only few extracted liquid electrons. It is continuously and reliably operating since its full underground deployment in early 2013. This document is an overview of the systems capabilities, its inner workings, and its performance.

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Section: Sample Triggered Low Energy Eventmentioning

confidence: 99%

Section: First Wimp Searchmentioning

confidence: 99%

Section: Dynamic Rangementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

FPGA-based trigger system for the LUX dark matter experiment

Akerib

Araújo

Bai

et al. 2016

Nuclear Instruments and Methods in Physics Research Section A:

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“…Current direct detection experiments have reached the sensitivity to probe a broad spectrum of possible dark matter-nucleon interactions, including those depending on the dark matter-nucleus relative velocity and the momentum transfer [5]. LUX, SuperCDMS and CDMSlite are currently setting the most stringent bounds on the velocity and momentum independent dark matter coupling to the Xenon and Germanium nuclear charge density operators [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Prospects for direct detection of dark matter in an effective theory approach

Catena¹

2014

J. Cosmol. Astropart. Phys.

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We perform the first comprehensive analysis of the prospects for direct detection of dark matter with future ton-scale detectors in the general 11-dimensional effective theory of isoscalar dark matter-nucleon interactions mediated by a heavy spin-1 or spin-0 particle. The theory includes 8 momentum and velocity dependent dark matter-nucleon interaction operators, besides the familiar spin-independent and spin-dependent operators. From a variegated sample of 27 benchmark points selected in the parameter space of the theory, we simulate independent sets of synthetic data for ton-scale Germanium and Xenon detectors. From the synthetic data, we then extract the marginal posterior probability density functions and the profile likelihoods of the model parameters. The associated Bayesian credible regions and frequentist confidence intervals allow us to assess the prospects for direct detection of dark matter at the 27 benchmark points. First, we analyze the data assuming the knowledge of the correct dark matter nucleon-interaction type, as it is commonly done for the familiar spin-independent and spin-dependent interactions. Then, we analyze the simulations extracting the dark matter-nucleon interaction type from the data directly, in contrast to standard analyses. This second approach requires an extensive exploration of the full 11-dimensional parameter space of the dark matter-nucleon effective theory. Interestingly, we identify 5 scenarios where the dark matter mass and the dark matter-nucleon interaction type can be reconstructed from the data simultaneously. We stress the importance of extracting the dark matter nucleon-interaction type from the data directly, discussing the main challenges found addressing this complex 11-dimensional problem.

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