Operation and first results of the NEXT-DEMO prototype using a silicon photomultiplier tracking array

Álvarez, V.; Borges, F.I.G.M.; Cárcel, S.; Castel, J.; Cebrián, S.; Cervera, A.; Conde, C.A.N.; Dafní, T.; Dias, T.H.V.T.; Díaz, Julio Pérez; Egorov, M. S.; Esteve, R.; Evtoukhovitch, P.; Fernandes, L. M. P.; Ferrario, P.; Ferreira, A. L.; Freitas, E.D.C.; Gehman, V. M.; Gil, A.; Goldschmidt, A.; Gómez, H.; Gómez-Cadenas, J.J.; González-Díaz, D.; Gutiérrez, Rafael; Hauptman, J. M.; Morata, J. A. Hernando; Herrera, D.C.; Iguaz, F.J.; Irastorza, I. G.; Jinete, M A; Labarga, L.; Laing, A.; Liubarsky, I.; Lopes, J. A. M.; Lorca, D.; Losada, M.; Luzón, G.; Marí, A.; Martín-Albo, J.; Martínez, A.; Martínez, G.; Miller, T.; Moiseenko, A.; Monrabal, F.; Monserrate, M.; Monteiro, C. M. B.; Mora, Francisco; Moutinho, L.M.; Vidal, J. Muñoz; Luz, H. Natal da; Navarro, G.; Nebot-Guinot, M.; Nygren, D. R.; Oliveira, C.; Palma, Roberto; Pérez, Javier Laso; Pérez-Aparicio, José L.; Renner, J.; Ripoll, L.; Rodríguez, A. Soto; Rodriguez, J.; Santos, F.P.; Santos, J.M.F. dos; Seguí, L.; Serra, Llorenç; Shuman, D.; Simón, A.; Sofka, C.; Sorel, M.; Toledo, J.F.; Tomás, A.; Torrent, J.; Tsamalaidze, Z.; Veloso, J.F.C.A.; Villar, J.A.; Webb, R.; White, James T.; Yahlali, N.

doi:10.1088/1748-0221/8/09/p09011

Cited by 55 publications

(100 citation statements)

References 15 publications

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“…This model has been used to calculate a corrected weighted sum of the observed energy resulting in 22 Na photopeak energy resolution of 1.62% and a predicted Q β β resolution of as little as 0.63%. These values represent a slight improvement on previously published results [10].…”

Section: Discussionsupporting

confidence: 79%

“…The PMTs are calibrated using their single photon response using a 400 nm wavelength LED mounted in the centre of the tracking plane, as described in [10]. The SiPMs are calibrated using the dark current of the sensors.…”

Section: Calibration Of Sensorsmentioning

confidence: 99%

“…As explained in [10], the tracking plane consists of 256 Hamamatsu S10362-11-050P SiPMs distributed between 4 boards, each with 64 sensors with common bias voltage, and is positioned 2 mm behind the EL production region. Prior to its introduction in the TPC, a dedicated study of the sensors was done, with a final spread in gain below 4% at room temperature [13].…”

Section: Tracking Plane Responsementioning

confidence: 99%

“…The term S 0 (x, y) is an overall conversion factor from photoelectrons to energy. Using this weighted energy estimator as opposed to the basic mean value used in previous publications (for example [10]) improves the determination of the energy by taking into account inhomogeneities in the response of the PMTs. The residuals of the Delaunay interpolation produce a slight difference in the energy scale according to the (x, y) bin in which an event falls.…”

Section: Calculation Of Energy Weighted Summentioning

confidence: 99%

“…They can be used to study fundamental properties of the gas and drift region as well as to equalise the energetic response which varies due to detector geometry. The NEXT-DEMO prototype [9,10], shown in figure 2, has been used to study these properties.…”

Section: Introductionmentioning

confidence: 99%

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Characterisation of NEXT-DEMO using xenon K_αX-rays

Lorca¹,

Martín-Albo²,

Laing³

et al. 2014

J. Inst.

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The NEXT experiment aims to observe the neutrinoless double beta decay of 136 Xe in a high-pressure xenon gas TPC using electroluminescence (EL) to amplify the signal from ionization. Understanding the response of the detector is imperative in achieving a consistent and well understood energy measurement. The abundance of xenon K-shell X-ray emission during data taking has been identified as a multitool for the characterisation of the fundamental parameters of the gas as well as the equalisation of the response of the detector. The NEXT-DEMO prototype is a ∼1.5 kg volume TPC filled with natural xenon. It employs an array of 19 PMTs as an energy plane and of 256 SiPMs as a tracking plane with the TPC light tube and SiPM surfaces being coated with tetraphenyl butadiene (TPB) which acts as a wavelength shifter for the VUV scintillation light produced by xenon. This paper presents the measurement of the properties of the drift of electrons in the TPC, the effects of the EL production region, and the extraction of position dependent correction constants using K α X-ray deposits. These constants were used to equalise the response of the detector to deposits left by gammas from 22 Na.-2 -

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Section: Discussionsupporting

confidence: 79%

Section: Calibration Of Sensorsmentioning

confidence: 99%

Section: Tracking Plane Responsementioning

confidence: 99%

Section: Calculation Of Energy Weighted Summentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Characterisation of NEXT-DEMO using xenon K_αX-rays

Lorca¹,

Martín-Albo²,

Laing³

et al. 2014

J. Inst.

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First proof of topological signature in the high pressure xenon gas TPC with electroluminescence amplification for the NEXT experiment

Ferrario¹,

Laing²,

López-March³

et al. 2016

J. High Energ. Phys.

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Abstract:The NEXT experiment aims to observe the neutrinoless double beta decay of 136 Xe in a high-pressure xenon gas TPC using electroluminescence (EL) to amplify the signal from ionization. One of the main advantages of this technology is the possibility to reconstruct the topology of events with energies close to Q ββ . This paper presents the first demonstration that the topology provides extra handles to reject background events using data obtained with the NEXT-DEMO prototype.Single electrons resulting from the interactions of 22 Na 1275 keV gammas and electronpositron pairs produced by conversions of gammas from the 228 Th decay chain were used to represent the background and the signal in a double beta decay. These data were used to develop algorithms for the reconstruction of tracks and the identification of the energy deposited at the end-points, providing an extra background rejection factor of 24.3 ± 1.4 (stat.)%, while maintaining an efficiency of 66.7 ± 1.% for signal events.

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Demonstration of background rejection using deep convolutional neural networks in the NEXT experiment

Kekic

Adams

Woodruff

et al. 2021

J. High Energ. Phys.

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Convolutional neural networks (CNNs) are widely used state-of-the-art computer vision tools that are becoming increasingly popular in high-energy physics. In this paper, we attempt to understand the potential of CNNs for event classification in the NEXT experiment, which will search for neutrinoless double-beta decay in 136Xe. To do so, we demonstrate the usage of CNNs for the identification of electron-positron pair production events, which exhibit a topology similar to that of a neutrinoless double-beta decay event. These events were produced in the NEXT-White high-pressure xenon TPC using 2.6 MeV gamma rays from a 228Th calibration source. We train a network on Monte Carlo-simulated events and show that, by applying on-the-fly data augmentation, the network can be made robust against differences between simulation and data. The use of CNNs offers significant improvement in signal efficiency and background rejection when compared to previous non-CNN-based analyses.

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Operation and first results of the NEXT-DEMO prototype using a silicon photomultiplier tracking array

Cited by 55 publications

References 15 publications

Characterisation of NEXT-DEMO using xenon K_αX-rays

Characterisation of NEXT-DEMO using xenon K_αX-rays

First proof of topological signature in the high pressure xenon gas TPC with electroluminescence amplification for the NEXT experiment

Demonstration of background rejection using deep convolutional neural networks in the NEXT experiment

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Operation and first results of the NEXT-DEMO prototype using a silicon photomultiplier tracking array

Cited by 55 publications

References 15 publications

Characterisation of NEXT-DEMO using xenon KαX-rays

Characterisation of NEXT-DEMO using xenon KαX-rays

First proof of topological signature in the high pressure xenon gas TPC with electroluminescence amplification for the NEXT experiment

Demonstration of background rejection using deep convolutional neural networks in the NEXT experiment

Contact Info

Product

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Characterisation of NEXT-DEMO using xenon K_αX-rays

Characterisation of NEXT-DEMO using xenon K_αX-rays