2016
DOI: 10.1088/1748-0221/11/09/p09014
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B-spline parameterization of spatial response in a monolithic scintillation camera

Abstract: A framework for parameterization of the light response functions (LRFs) in a scintillation camera is presented. It is based on approximation of the measured or simulated photosensor response with weighted sums of uniform cubic B-splines or their tensor products. The LRFs represented in this way are smooth, computationally inexpensive to evaluate and require much less computer memory than non-parametric alternatives. The parameters are found in a straightforward way by the linear least squares method. Several t… Show more

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Cited by 5 publications
(6 citation statements)
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“…In LZ, for the purpose of energy reconstruction, the S 2 is only calculated for the bottom array to avoid bias due to saturation of the PMTs, while the S2 signals from the top array are used to reconstruct the xy position. Knowing the xy position, the LRFs of the bottom array are parameterized as a weighted sum of tensor products of uniform basic cubic splines using the methods developed in [14].…”
Section: Jinst 18 C04007mentioning
confidence: 99%
“…In LZ, for the purpose of energy reconstruction, the S 2 is only calculated for the bottom array to avoid bias due to saturation of the PMTs, while the S2 signals from the top array are used to reconstruct the xy position. Knowing the xy position, the LRFs of the bottom array are parameterized as a weighted sum of tensor products of uniform basic cubic splines using the methods developed in [14].…”
Section: Jinst 18 C04007mentioning
confidence: 99%
“…Reconstruction of the position and energy (defined here as the number of emitted photons) of a scintillation event is performed by the maximum likelihood (ML) method assuming Poisson distribution of the number of photo-electrons in each channel. The LRFs, parameterized with B-splines [20], are computed using an iterative method (see the next section) from a flood field irradiation dataset. The search for the position resulting in the best match between the experimental and the predicted distributions of the number of photo-electrons across the SiPM array is performed using the contracting grids algorithm implemented on GPU.…”
Section: Scintillation Event Reconstructionmentioning
confidence: 99%
“…Cubic splines are employed for parameterization of the LRFs. A detailed description of the custom library used for parameterization and available parameterization options can be found in [27].…”
Section: Package Overviewmentioning
confidence: 99%
“…An LRF describes the average signal of a photosensor as a function of the position of a point light source emitting isotropically a constant number of photons. The LRFs are parameterized in ANTS2 using B-splines [27]. The LRF module calculates these functions from datasets containing photosensor signals and the corresponding event positions.…”
Section: Lrf Modulementioning
confidence: 99%
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