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The Deterministic Annealing Filter: A new clustering method for gamma-ray tracking algorithms

Abstract : A new method of clustering for forward-tracking algorithms has been developed to reconstruct the tracks of gamma-rays in high-resolution detector systems such as AGATA (Advanced GAmma Tracking Array). This technique, called Deterministic Annealing Filter (DAF), comes from statistical physics and is used in high-energy physics. After a description of the DAF method and of the forward-tracking algorithm, the performance of this clustering method is discussed in terms of photopeak efficiency and peak-to-total ratio obtained with GEANT4 simulations for the AGATA geometry. A comparison with the standard so-called "cone clustering method" shows similar performances with a better photopeak efficiency at high multiplicity for the DAF algorithm. (C) 2010 Elsevier B.V. All rights reserved.
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http://hal.in2p3.fr/in2p3-00670080
Contributor : Christine Hadrossek <>
Submitted on : Tuesday, February 14, 2012 - 3:08:58 PM
Last modification on : Thursday, January 7, 2021 - 7:26:04 PM

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F. Didierjean, G. Duchene, A. Lopez-Martens. The Deterministic Annealing Filter: A new clustering method for gamma-ray tracking algorithms. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Elsevier, 2010, 615, pp.188-200. ⟨10.1016/j.nima.2010.01.030⟩. ⟨in2p3-00670080⟩

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