2017
DOI: 10.1140/epjp/i2017-11646-x
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Simulation of Gaussian energy broadening in gamma response of a LYSO array detector using a semi-empirical method

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Cited by 11 publications
(6 citation statements)
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“… 11 , for example, observed the typical broad spectrum from an LSO crystal with three main peaks and suggested that these probably resulted from the simultaneous detection of the β-particle plus 88 keV γ-ray, β-particle plus 202 keV γ-ray and β-particle plus 307 keV γ-ray, respectively, but did not deepen into the relative intensities of the peaks. This was also pointed out in other works for LYSO crystals 12 , 13 . More recently, Jeong, M. et al .…”
Section: Introductionsupporting
confidence: 79%
“… 11 , for example, observed the typical broad spectrum from an LSO crystal with three main peaks and suggested that these probably resulted from the simultaneous detection of the β-particle plus 88 keV γ-ray, β-particle plus 202 keV γ-ray and β-particle plus 307 keV γ-ray, respectively, but did not deepen into the relative intensities of the peaks. This was also pointed out in other works for LYSO crystals 12 , 13 . More recently, Jeong, M. et al .…”
Section: Introductionsupporting
confidence: 79%
“…Using the background radiation as a "field-flood" source for detector calibration and attenuation correction requires a complete characterization and understanding of the 176 Lu intrinsic energy spectrum in singles and coincidence mode. In singles mode, this intrinsic energy spectrum has been previously reported [17][18][19][20][21]. In 2010, Goertzen et al [22] developed a method for estimating the energy spectrum of coincidence events in a PET system and compared it with measurements and Monte Carlo simulations using GATE (Geant4 Application for Tomographic Emission) [23].…”
Section: Introductionmentioning
confidence: 98%
“…However, the Monte Carlo simulation used in this study cannot directly take into account the uncertainty factors. Hence, a special treatment, referred to as Gaussian energy broadening (GEB) treatment as a Gaussian kernel, was used to better simulate the detector system [22]. The treatment broadens the energy peaks by sampling from the following Gaussian function:…”
Section: Monte Carlo Simulationmentioning
confidence: 99%
“…The FHWM is defined as the energy-dependent non-linear response in this code and the expressions of the FHWM are shown below. The parameters a, b, and c were derived from experiments with the standard gamma sources ( 137 Cs, 22 Na, and 133 Ba). The experiment was performed at a controlled temperature with the air temperature set to 18 • C. Temperature is one of the important SiPM characterization factors because it has significant temperature dependency.…”
Section: Monte Carlo Simulationmentioning
confidence: 99%