TY - JOUR AU - Lalovic, N. AU - Louchart, C. AU - Michelagnoli, C. AU - Perez-Vidal, R. M. AU - Ralet, D. AU - Gerl, J. AU - Rudolph, D. AU - Arici, T. AU - Bazzacco, D. AU - Clement, E. AU - Gadea, A. AU - Kojouharov, I. AU - Korichi, A. AU - Labiche, M. AU - Ljungvall, J. AU - Lopez-Martens, A. AU - Nyberg, J. AU - Pietralla, N. AU - Pietri, S. AU - Stezowski, O. PY - 2016 DA - 2016// TI - Performance of the AGATA gamma-ray spectrometer in the PreSPEC set-up at GSI T2 - Nucl. Instrum. Methods Phys. Res. A JO - Nuclear Instruments & Methods in Physics Research A SP - 258 EP - 266 VL - 806 PB - Elsevier Science Bv KW - Gamma-ray spectroscopy KW - Gamma-ray tracking KW - Nuclear structure KW - Pulse shape analysis KW - HPGe detectors AB - In contemporary nuclear physics, the European Advanced GAmma Tracking Array (AGATA) represents a crucial detection system for cutting-edge nuclear structure studies. AGATA consists of highly segmented high-purity germanium crystals and uses the pulse-shape analysis technique to determine both the position and the energy of the y-ray interaction points in the crystals. It is the tracking algorithms that deploy this information and enable insight into the sequence of interactions, providing information on the full or partial absorption of the 7 ray. A series of dedicated performance measurements for an AGATA set-up comprising 21 crystals is described. This set-up was used within the recent PreSPEC-AGATA experimental campaign at the GSI Helmholtzzentrum fur Schwerionenforschung. Using the radioactive sources Co-56, Co-60 and Eu-152, absolute and normalized efficiencies and the peak-to-total of the array were measured. These quantities are discussed using different data analysis procedures. The quality of the pulse-shape analysis and the tracking algorithm are evaluated. The agreement between the experimental data and the Geant4 simulations is also investigated. SN - 0168-9002 UR - https://doi.org/10.1016/j.nima.2015.10.032 DO - 10.1016/j.nima.2015.10.032 LA - English N1 - WOS:000364856100035 ID - Lalovic_etal2016 ER -