Pulse shape analysis of liquid scintillators for neutron studies

Marrone, S.; Cano‐Ott, D.; Colonna, N.; Domingo, C.; Gramegna, F.; González, Enrique; Gunsing, F.; Heil, M.; Käppeler, F.; Mastinu, P.; Milazzo, P. M.; Papaevangelou, T.; Pavlopoulos, P.; Plag, R.; Reifarth, R.; Tagliente, G.; Taín, J. L.; Wisshak, K.

doi:10.1016/s0168-9002(02)01063-x

Cited by 162 publications

(75 citation statements)

References 13 publications

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“…Much work has already been done on the problem of discrimination of digitally acquired / pulses [14][15][16][17][18][19][20][21][22][23]. Neutron pulses have a delayed component (tail) compared to gamma pulses, and similar to analog electronics two or more parameters are typically extracted from the pulses to judge whether they are neutron or gamma pulses.…”

Section: Parametrization Of Ls Pulsesmentioning

confidence: 99%

“…Neutron pulses have a delayed component (tail) compared to gamma pulses, and similar to analog electronics two or more parameters are typically extracted from the pulses to judge whether they are neutron or gamma pulses. Marrone et al [14] describe a fitting procedure and resultant two-dimensional representations of the pulses with their respective fit parameters. Other authors calculate from the existing pulse two correlated parameters (e. g. total integral and tail integral; full and partial pulse heights; short and long pulse tail) and plot them for all pulses in a twodimensional diagram.…”

Section: Parametrization Of Ls Pulsesmentioning

confidence: 99%

“…refs. [14][15][16][17][18][19][20][21][22][23]. A comparison of four common algorithms for pulse shape discrimination is given in [21] demonstrating the capabilities of each approach.…”

Section: Parametrization Of Ls Pulsesmentioning

confidence: 99%

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Digital liquid-scintillation counting and effective pulse-shape discrimination with artificial neural networks

Langrock¹,

Wiehl

Kling

et al. 2014

Radiochimica Acta

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A typical problem in low-level liquid scintillation (LS) counting is the identification of particles in the presence of a high background of and particles. Especially the occurrence of -and -pile-ups may prevent the unambiguous identification of an signal by commonly used analog electronics. In this case, pulseshape discrimination (PSD) and pile-up rejection (PUR) units show an insufficient performance. This problem was also observed in own earlier experiments on the chemical behaviour of transactinide elements using the liquidliquid extraction system SISAK in combination with LS counting. -particle signals from the decay of the transactinides could not be unambiguously assigned. However, the availability of instruments for the digital recording of LS pulses changes the situation and provides possibilities for new approaches in the treatment of LS pulse shapes. In a SISAK experiment performed at PSI, Villigen, a fast transient recorder, a PC card with oscilloscope characteristics and a sampling rate of 1 giga samples s −1 (1 ns per point), was used for the first time to record LS signals. It turned out, that the recorded signals were predominantly , -and -pile up, and fission events. This paper describes the subsequent development and use of artificial neural networks (ANN) based on the method of "backpropagation of errors" to automatically distinguish between different pulse shapes. Such networks can "learn" pulse shapes and classify hitherto unknown pulses cor- rectly after a learning period. The results show that ANN in combination with fast digital recording of pulse shapes can be a powerful tool in LS spectrometry even at high background count rates.

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Section: Parametrization Of Ls Pulsesmentioning

confidence: 99%

Section: Parametrization Of Ls Pulsesmentioning

confidence: 99%

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Digital liquid-scintillation counting and effective pulse-shape discrimination with artificial neural networks

Langrock¹,

Wiehl

Kling

et al. 2014

Radiochimica Acta

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“…The combination of the high intensity and wide energy range of the neutron beam with state-of-the-art detectors and the digital data acquisition system available at n_TOF have provided in the last decade a large number of high-quality cross-section data [17,[22][23][24][25] and several key contributions [26][27][28][29][30] regarding the measuring and analysis techniques commonly employed in time-of-flight experiments.…”

Section: A the N_tof Facility At Cernmentioning

confidence: 99%

Measurement and resonance analysis of the237Np neutron capture cross section

Guerrero¹,

Cano‐Ott²,

Mendoza³

et al. 2012

Phys. Rev. C

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The neutron capture cross section of 237 Np was measured between 0.7 and 500 eV at the CERN n_TOF facility using the 4π BaF 2 Total Absorption Calorimeter. The experimental capture yield was extracted minimizing all the systematic uncertainties and was analyzed together with the most reliable transmission data available using the SAMMY code. The result is a complete set of individual as well as average resonance parameters [D 0 = 0.56(2) eV, γ = 40.9(18) meV, 10 4 S 0 = 0.98(6), R = 9.8 (6) (2002)]. The results indicate that a new evaluation combining the present capture data with reliable transmission data would allow reaching an accuracy better than 4%, in line with the uncertainty requirements of the nuclear data community for the design and operation of current and future nuclear devices.

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“…Prior works have modeled and synthesized pulses from organic scintillation detectors in response to neutrons and gammas [14], but do not provide a simulation for pulse height distributions derived from these detectors. Others have more comprehensively simulated response functions and pulse shape discrimination (PSD) for organic scintillation detectors with Geant4 [15], demonstrating excellent agreement, among others, between experimental and simulated energy spectra for a detector exposed to 0.662 MeV gammas from Cs-137.…”

Section: Introductionmentioning

confidence: 99%

Modeling Photo-multiplier Gain and Regenerating Pulse Height Data for Application Development

Aspinall¹,

Jones²

2018

EPJ Web Conf.

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Abstract-Systems that adopt organic scintillation detector arrays often require a calibration process prior to the intended measurement campaign to correct for significant performance variances between detectors within the array. These differences exist because of low tolerances associated with photo-multiplier tube technology and environmental influences. Differences in detector response can be corrected for by adjusting the supplied photo-multiplier tube voltage to control its gain and the effect that this has on the pulse height spectra from a gamma-only calibration source with a defined photo-peak. Automated methods that analyze these spectra and adjust the photomultiplier tube bias accordingly are emerging for hardware that integrate acquisition electronics and high voltage control. However, development of such algorithms require access to the hardware, multiple detectors and calibration source for prolonged periods, all with associated constraints and risks. In this work, we report on a software function and related models developed to rescale and regenerate pulse height data acquired from a single scintillation detector. Such a function could be used to generate significant and varied pulse height data that can be used to integration-test algorithms that are capable of automatically response matching multiple detectors using pulse height spectra analysis. Furthermore, a function of this sort removes the dependence on multiple detectors, digital analyzers and calibration source. Results show a good match between the real and regenerated pulse height data. The function has also been used successfully to develop auto-calibration algorithms.

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Pulse shape analysis of liquid scintillators for neutron studies

Cited by 162 publications

References 13 publications

Digital liquid-scintillation counting and effective pulse-shape discrimination with artificial neural networks

Digital liquid-scintillation counting and effective pulse-shape discrimination with artificial neural networks

Measurement and resonance analysis of the237Np neutron capture cross section

Modeling Photo-multiplier Gain and Regenerating Pulse Height Data for Application Development

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