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

2018 ◽  
Vol 170 ◽  
pp. 07001
Author(s):  
Michael D. Aspinall ◽  
Ashley R. Jones
Keyword(s):  
Scintillation Detector ◽  
Pulse Height ◽  
Detector Response ◽  
Application Development ◽  
Calibration Source ◽  
Spectra Analysis ◽  
Photo Multiplier Tube ◽  
Integration Test ◽  
Multiple Detectors ◽  
Height Data

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 photo-multiplier 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.

scholarly journals The X-Ray Spectrum of the Cygnus Loop with GSPC

1988 ◽  
Vol 108 ◽  
pp. 456-457
Author(s):  
Hiroshi Tsunemi ◽  
Makoto Manabe ◽  
Koujun Yamashita
Keyword(s):  
Energy Resolution ◽  
Proportional Counter ◽  
Pulse Height ◽  
Detector Response ◽  
X Ray ◽  
Cygnus Loop ◽  
Data Point ◽  
Best Fit ◽  
Height Data ◽  
Better Than

We observed the Cygnus Loop with Gas Scintillation Proportional Counter (GSPC) on board Tenma satellite. GSPC has an energy resolution two times better than that of a proportional counter (PC). Fig. 1 shows the spectrum with the crosses being the pulse height data with ± 1σ statistics. Superposed upon the data point is the best fit model spectra folded through the detector response.

Evaluation of the Energy Dispersive Detector as a Detector-Filter System for the X-Ray Diffractometer

1972 ◽  
Vol 16 ◽  
pp. 322-335 ◽  
Author(s):  
Davis Carpenter ◽  
John Thatcher
Keyword(s):  
Scintillation Detector ◽  
Pulse Height ◽  
Good Deal ◽  
Energy Dispersive ◽  
Maximum Efficiency ◽  
Height Distribution ◽  
Pulse Height Distribution ◽  
Pulse Height Analyzer ◽  
X Ray ◽  
Detector Pulse

AbstractA comparison of the relative merits of the energy dispersive derector-pulse height analyzer, scintillation detector-graphite monochromator, and proportional detector-pulse height analyzer combinations.Typical energy dispersive detectors are not configured for maximum efficiency on the diffractometer. Being only on the order of 3 mm diameter, a good deal of the available information is not collected by the detector. This is especially true with the Wide optics found in modern diffractometers. The energy dispersive detector incorporated into this system is optimized for the x-ray diffractometer. Its detection area is a 1.25 X 0.25 inch rectangle. The resolution is only sufficient to remove the Kβ portion of the spectrum.Conventional diffractometer techniques incorporate either a scintillation detector-crystal monochromator, or a proportional detector-pulse height analyser combination. The question posed is “what are the advantages in signal to noise ratio and pulse height distribution of the energy dispersive-pulse height analyzer over the more conventional arrangements.”

Energy Distributions of 662 keV Multiply Compton-Scattered Photons in Copper

2016 ◽  
Vol 675-676 ◽  
pp. 726-729
Author(s):  
Pruek Prongsamrong ◽  
Kittipong Siengsanoh ◽  
P. Limkitjaroenporn ◽  
P. Kanchanakul ◽  
J. Kaewkhao
Keyword(s):  
Intensity Distribution ◽  
Scintillation Detector ◽  
Pulse Height ◽  
Compton Effect ◽  
Height Distribution ◽  
Pulse Height Distribution ◽  
Energy Distributions ◽  
Scattering Angle

A scattered photons spectrum from Compton effect were observed by pulse-height distribution of a NaI(Tl) scintillation detector. This also results in extraction of intensity distribution of multiply scattered events originating from interactions of 662 keV photons with both targets of copper sizes. The observed pulse-height distributions are a combination of singly and multiply scattered events in same photopeak. To evaluate the contribution of multiply scattered events, the spectrum of singly scattered events used reconstructed analytically. The results show that the lowest multiply scattered events occur at scattering angle 90 degree.

INNOVATIONS IN THE CMS TRACKER ELECTRONICS

2010 ◽  
Vol 25 (10) ◽  
pp. 1957-1980
Author(s):  
G. HALL
Keyword(s):  
Data Processing ◽  
Semiconductor Laser ◽  
Pulse Height ◽  
Readout System ◽  
Critical Elements ◽  
Key Technologies ◽  
Control And Monitoring System ◽  
Design Preferences ◽  
Silicon Microstrip ◽  
Height Data

The CMS silicon microstrip tracker readout system is unprecedented in size, with over nine million channels. It is an analogue readout system, implemented using CMOS ASICs and linear, semiconductor laser transmitters which send pulse height data off-detector for digitisation and the first level of data processing. The basic components which define the architecture originated in R&D projects in the early 1990s and were crucial in allowing this system to be realised. The availability of several key technologies was critical to achieving the design preferences, and the components and technologies were utilised also to build the control and monitoring system and, later, to implement critical elements of other CMS sub-detector systems. The background to the technology choices and early development of the system is described and an attempt is made to draw some lessons which could be relevant for the future.

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