Dead time effects from linear amplifiers and discriminators in single detector systems

Funck, E.

doi:10.1016/0168-9002(86)91291-x

Cited by 16 publications

(9 citation statements)

References 7 publications

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“…pulses. Since many PMT test sys-tems use discriminator, this type of after pulse can be suppressed completely by the discriminator dead time (≈200 ns) [18]. This type of after pulses' charge and time characteristics were presented in Fig.…”

Section: Test Facilitymentioning

confidence: 96%

The high-speed after-pulse measurement system for PMT

et al. 2018

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A system employing a desktop FADC has been developed to investigate the features of 8 inches Hamamatsu PMT. The system stands out for its high-speed and informative results as a consequence of adopting fast waveform sampling technology. Recording full waveforms allows us to perform digital signal processing, pulse shape analysis, and precision timing extraction. High precision after pulse time and charge distribution characteristics are presented in this manuscript. Other photomultipliers characteristics, such as dark rate and transit time spread, can also be obtained by exploiting waveform analysis using this system.

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Section: Test Facilitymentioning

confidence: 96%

The high-speed after-pulse measurement system for PMT

et al. 2018

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“…The GSFC system uses a non-extending type detection/discrimination system for photon counting [Funck, 1986]. The observed average rate of the event occurrences will asymptotically tend toward a maximum average observed count rate equal to the inverse of the resolving time and requires a correction ofthe following form:…”

Section: Nonlinearity In Pulse Countingmentioning

confidence: 99%

“…This system response tends toward zero if the frequency of events is large enough. The true number of counts can be computed by using the following expression [Funck, 1986]:…”

Section: Nonlinearity In Pulse Countingmentioning

confidence: 99%

Stratospheric temperature measurements by two collocated NDSC lidars during UARS validation campaign

Singh¹,

Keckhut²,

McGee³

et al. 1996

J. Geophys. Res.

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The NASA Goddard Space Flight Center (GSFC) mobile lidar system was deployed at the Observatoire de Haute Provence (OHP), during an Upper Atmosphere Research Satellite (UARS)/Network for Detection of Stratospheric Change (NDSC) correlative measurement campaign (July-August 1992). The objective of this campaign was twofold: to intercompare two independent lidars and to provide ground-based UARS correlative ozone and temperature validation measurements. This paper, for the first time, presents a coincident temperature intercomparison between two independently operating temperature lidar systems of similar capabilities. Systems and retrieval algorithms have been described and discussed in terms of error sources. The comparison of the two analysis have shown very similar results up to the upper mesosphere. The statistical mean differences of 0.5 K in the stratosphere and about 2 K in the mesosphere suggests insignificant bias throughout except below 35 km, where one of the data sets is contaminated by the volcanic aerosols from the eruption of Mount Pinatubo. Profiles of the rootmean-square (RMS) of the differences are in good agreement with random error estimates, except around 35-40 km where RMS is larger. These measurements can be used as the ground reference for UARS temperature validation. However, the spatial-temporal coincidence between satellite and lidar needs to be carefully considered for meaningful validation.

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“…Two standard types of dead time behaviors are usually considered: the extending (or paralyzable) and the nonextending (or non-paralyzable) ones. In another approach, the correction is obtained by inserting an electronic unit with a fixed dead time in the analogue or digital part of the signal chain, with a dead time longer than the dead time of any other unit of the chain [5][6][7]. One other technique is known as the pulser method and uses pulses from an electronic pulse generator, with known frequency, to mix them with detector pulses [1,2,[8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Method for effective dead time measurement in counting systems

Vinagre

Conde

2001

Nuclear Instruments and Methods in Physics Research Section A:

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The counting losses introduced by the dead time of a counting system are a limiting factor in counting measurements. The purpose of this work is to report an efficient method for the measurement of the effective dead time of a counting system and to characterize its dead time behavior, providing a way to investigate each experimental situation. The method, which we designate as Delayed and Mixed Pulses method, is based on the artificial piling-up of detector pulses with electronic pulses delayed by a specific time interval. It is applicable to the measurement of the effective dead time of a counting system, including both pileup effects and the dead time characteristics of the elements of the counting chain. With counting systems relying on gaseous radiation detectors, we achieved a standard uncertainty of about 5-10% in the dead times measured.

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Dead time effects from linear amplifiers and discriminators in single detector systems

Cited by 16 publications

References 7 publications

The high-speed after-pulse measurement system for PMT

The high-speed after-pulse measurement system for PMT

Stratospheric temperature measurements by two collocated NDSC lidars during UARS validation campaign

Method for effective dead time measurement in counting systems

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