Abstract:A new package to simulate the formation of electrical pulses in segmented true-coaxial high purity germanium detectors is presented. The computation of the electric field and weighting potentials inside the detector as well as of the trajectories of the charge carriers is described. In addition, the treatment of bandwidth limitations and noise are discussed. Comparison of simulated to measured pulses, obtained from an 18-fold segmented detector operated inside a cryogenic test facility, are presented.
“…15). A few detectors like GD35B, however, fluctuate up to ±30 % translating into a ∼0.1 mm [43] FCCD difference. The count rate profile on the front side area of these detectors is characterized by higher count rates at the center and at the outermost bor- Spatial dependence of the pulse shape response The pulse shapes of events in a ±4.5 σ region around the 60 keV γ -peak were investigated for every scanned point.…”
Section: Surface Scans With 241 Am Sourcesmentioning
“…15). A few detectors like GD35B, however, fluctuate up to ±30 % translating into a ∼0.1 mm [43] FCCD difference. The count rate profile on the front side area of these detectors is characterized by higher count rates at the center and at the outermost bor- Spatial dependence of the pulse shape response The pulse shapes of events in a ±4.5 σ region around the 60 keV γ -peak were investigated for every scanned point.…”
Section: Surface Scans With 241 Am Sourcesmentioning
“…Drift velocity anisotropy can cause considerable differences in pulse shape rise time depending on the spatial position of the charge carrier creation. Experimentally, the dependence of pulse shapes on the electron drift velocity 110 anisotropy in closed-end HPGe detectors has been clearly established [14], as well as its influence on tracking algorithms [15]. Anisotropy in the drift velocity for holes is also a major concern when dealing with semi-conducting devices operating at high-115 electric fields, where deviation from low-field ohmic behavior is observed [16].…”
Section: Pulse Shape Calculationsmentioning
confidence: 99%
“…The next-generation devices advancing current frontiers 10 of nuclear spectroscopy are eliminating the lowresolution scintillator envelopes entirely and consist of a 4π HPGe shell. The individual crystals have electrically segmented outer contacts which can be used to reconstruct gamma-ray interaction points 15 with σ ∼ 2mm RMS resolution [1], [2]. This position sensitivity is necessary to allow gamma-ray tracking through the HPGe volume, which enables the iden- * Corresponding author.…”
The sensitivity of the position resolution of the gamma-ray tracking array GRETINA to the hole chargecarrier mobility parameter is investigated. The χ 2 results from a fit of averaged signal ("superpulse") data exhibit a shallow minimum for hole mobilities 15% lower than the currently adopted values. Calibration data on position resolution is analyzed, together with simulations that isolate the hole mobility dependence of signal decomposition from other effects such as electronics cross-talk. The results effectively exclude hole mobility as a dominant parameter for improving the position resolution for reconstruction of gamma-ray interaction points in GRETINA.
“…See e.g. [1,2] for a detailed description of the pulse creation process. For photons in the MeV range, the dominant interaction process is Compton scattering.…”
Section: Pulse-shape Discrimination For Hpge Detectors Using Artificimentioning
A pulse-shape discrimination method based on artificial neural networks was applied to pulses simulated for different background, signal and signal-like interactions inside a germanium detector. The simulated pulses were used to investigate variations of efficiencies as a function of used training set. It is verified that neural networks are well-suited to identify background pulses in true-coaxial high-purity germanium detectors. The systematic uncertainty on the signal recognition efficiency derived using signal-like evaluation samples from calibration measurements is estimated to be 5 %. This uncertainty is due to differences between signal and calibration samples.
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