Erratum to “Observation of long ionizing tracks with the ICARUS T600 first half-module” [Nucl. Instr. and Meth. A 508 (2003) 287–294]

Arneodo, F.; Badełek, B.; Badertscher, A.; Baiboussinov, B.; Ceolin, M. Baldo; Battistoni, G.; Bekman, B.; Benetti, P.; Bernardini, E.; Bischofberger, M.; Tigliole, A. Borio di; Brunetti, R.; Bueno, A.; Calligarich, E.; Campanelli, M.; Carpanese, C.; Cavalli, D.; Cavanna, F.; Cennini, P.; Centro, S.; Cesana, A.; Chen, C.; Chen, D.; Chen, D. B.; Chen, Y.; Cline, D.; Dai, Z.; Vecchi, C. De; Dąbrowska, A.; Dolfini, R.; Felcini, M.; Ferrari, A.; Ferri, F.; Ge, Yuanyuan; Berzolari, A. Gigli; Gil-Botella, I.; Graczyk, Krzysztof M.; Grandi, L.; He, K. L.; Holeczek, J.; Huang, X. P.; Juszczak, Cezary; Kiełczewska, D.; Kisiel, J.; Kozłowski, T.; Kuna-Ciskał, H.; Łaffranchi, M.; Łagoda, J.; Li, Z.; Lu, F. J.; Ma, J.; Markiewicz, Marcin; Ossa, A. Martínez de la; Matthey, C.; Mauri, F.; Mazza, Davide; Meng, G.; Messina, M.; Montanari, C.; Muraro, S.; Navas, S.; Nicoletto, M.; Nurzia, G.; Otwinowski, S.; Ouyang, Q.; Palamara, O.; Pascoli, D.; Periale, L.; Mortari, G. Piano; Piazzoli, A.; Picchi, P.; Pietropaolo, F.; Półchłopek, W.; Rancati, T.; Rappoldi, A.; Raselli, G.L.; Rico, J.; Rondio, E.; Rossela, M.; Rubbia, A.; Rubbia, C.; Sala, P.; Scannicchio, D. A.; Segreto, E.; Sergiampietri, F.; Sobczyk, J. T.; Steṕaniak, J.; Szeptycka, M.; Szleper, M.; Szarska, M.; Terrani, M.; Ventura, S.; Vignoli, C.; Wang, H.; Wójcik, Magdalena; Woo, J.; Xu, G. F.; Xu, Z.; Zalewska, A.; Zalipska, J.; Zhang, C.; Zhang, Q.; Shen, Zhen; Zipper, W.

doi:10.1016/j.nima.2003.10.001

Cited by 11 publications

(9 citation statements)

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“…It should be noted that the resolution smearing is not considered in the GRESP Monte Carlo code. We considered the resolution smearing similar to the way described in Ref [9]. The "realistic " Monte Carlo spectrum can be obtained from the convolution of the simulation spectrum with the system response function,…”

Section: Methodsmentioning

confidence: 99%

Oxygen quenching in a LAB based liquid scintillator and the nitrogen bubbling model

2010

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The oxygen quenching effect in Linear Alkl Benzne (LAB) based liquid scintillator (LAB as the solvent, 3 g/L 2, 5 diphe-nyloxazole (PPO) as the fluor and 15 mg/L p-bis-(o-methylstyryl)-benzene (bis-MSB) as the λ-shifter) is studied by measuring the light yield as the function of the nitrogen bubbling time. It is shown that the light yield of the fully purged liquid scintillator is increased by 11% at the room temperature and the room atmosphere pressure. A simple nitrogen bubbling model is proposed to describe the relationship between the relative light yield (oxygen quenching factor) and the bubbling time.

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Section: Methodsmentioning

confidence: 99%

Oxygen quenching in a LAB based liquid scintillator and the nitrogen bubbling model

2010

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“…Below the analysis range (corresponding to ∼ 7 − 9 keVnr), the scintillation yield is indicated as dashed lines. Also shown are previous published measurements using mono-energetic neutron beams: ( ) [10], (∎) [11], (▲) [25], ( ) [26], (△) [27], (▽) [28] and ( ) [21], or obtained using a similar Monte Carlo matching procedure (▼) [7].…”

Section: Detector Responsementioning

confidence: 99%

Nuclear recoil scintillation and ionisation yields in liquid xenon from ZEPLIN-III data

et al. 2011

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Scintillation and ionisation yields for nuclear recoils in liquid xenon above 10 keV nr (nuclear recoil energy) are deduced from data acquired using broadband Am-Be neutron sources. The nuclear recoil data from several exposures to two sources were compared to detailed simulations. Energy-dependent scintillation and ionisation yields giving acceptable fits to the data were derived. Efficiency and resolution effects are treated using a light collection Monte Carlo, measured photomultiplier response profiles and hardware trigger studies. A gradual fall in scintillation yield below ∼ 40 keV nr is found, together with a rising ionisation yield; both are in agreement with the latest independent measurements. The analysis method is applied to the most recent ZEPLIN-III data, acquired with a significantly upgraded detector and a precision-calibrated Am-Be source, as well as to the earlier data from the first run in 2008. A new method for deriving the recoil scintillation yield, which includes sub-threshold S1 events, is also presented which confirms the main analysis.

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“…In the case of zero field, the observed light yield is usually interpreted as a relative scintillation efficiency with respect to a known gamma-ray energy, such as 122 keV from 57 Co calibration source [8,10,17]. The available data from various experiments [29,30,31,32,33,34] shows a rather broad distribution, which deserves a good physics model to justify the observed data points. The observed relative scintillation efficiency can be explained by three physics functions: the variation of the W i -value, quenching factors, and recombination.…”

Section: Direct Excitation Ionizationmentioning

confidence: 99%

“…6. The free parameters α and β are obtained by normalizing the scintillation efficiency from the generic model (Eq.10) to the available data for ERs [16,75], and NRs [25,29,30,31,32,33,34]. The functions describing the volume recombination time are found to be:…”

Section: Volume Recombination Time For Zero Fieldmentioning

confidence: 99%

A comprehensive study of low-energy response for xenon-based dark matter experiments

Wang

Mei

2017

J. Phys. G: Nucl. Part. Phys.

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We report a comprehensive study of the energy response to low-energy recoils in dual-phase xenon-based dark matter experiments. A recombination model is developed to explain the recombination probability as a function of recoil energy at zero field and non-zero field. The role of e-ion recombination is discussed for both parent recombination and volume recombination. We find that the volume recombination under non-zero field is constrained by a plasma effect, which is caused by a high density of charge carriers along the ionization track forming a plasma-like cloud of charge that shields the interior from the influence of the external electric field. Subsequently, the plasma time that determines the volume recombination probability at non-zero field is demonstrated to be different between electronic recoils and nuclear recoils due to the difference of ionization density between two processes. We show a weak field-dependence of the plasma time for nuclear recoils and a stronger field-dependence of the plasma time for electronic recoils. As a result, the timedependent recombination is implemented in the determination of charge and light yield with a generic model. Our model agrees well with the available experimental data from xenon-based dark matter experiments.

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Erratum to “Observation of long ionizing tracks with the ICARUS T600 first half-module” [Nucl. Instr. and Meth. A 508 (2003) 287–294]

Cited by 11 publications

References 0 publications

Oxygen quenching in a LAB based liquid scintillator and the nitrogen bubbling model

Oxygen quenching in a LAB based liquid scintillator and the nitrogen bubbling model

Nuclear recoil scintillation and ionisation yields in liquid xenon from ZEPLIN-III data

A comprehensive study of low-energy response for xenon-based dark matter experiments

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