6533b824fe1ef96bd1280cf5
RESEARCH PRODUCT
The Deterministic Annealing Filter: A new clustering method for gamma-ray tracking algorithms
A. Lopez-martensA. Lopez-martensF. DidierjeanG. Duchênesubject
PhysicsNuclear and High Energy PhysicsGRETA010308 nuclear & particles physicsDetectorHigh multiplicityDeterministic annealingDeterministic annealing filter[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]Tracking (particle physics)01 natural sciencesGERMANIUMBACKTRACKINGgamma-ray spectroscopyFilter (video)0103 physical sciencesDETECTORSAGATAgamma-ray trackingSPECTROMETER010306 general physicsCluster analysisInstrumentationAlgorithmdescription
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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2010-04-01 |