Discriminant analysis and secondary-beam charge recognition

• DOI: 10.1016/j.nima.2008.01.071
• Publication Date: 2008-01-28T07:09:12Z
• Authors: J. Łukasik; P. Adrich; T. Aumann; C.O. Bacri; T. Barczyk; R. Bassini; S. Bianchin; C. Boiano; A.S. Botvina; A. Boudard; J. Brzychczyk; A. Chbihi; J. Cibor; B. Czech; J.-É. Ducret; H. Emling; J. Frankland; M. Hellström; D. Henzlova; G. Immè; I. Iori; H. Johansson; K. Kezzar; A. Lafriakh; A. Le Fèvre; E. Le Gentil; Y. Leifels; J. Lühning; W.G. Lynch; U. Lynen; Z. Majka; M. Mocko; W.F.J. Müller; A. Mykulyak; M. De Napoli; H. Orth; A.N. Otte; R. Palit; P. Pawłowski; A. Pullia; G. Raciti; E. Rapisarda; H. Sann; C. Schwarz; C. Sfienti; H. Simon; K. Sümmerer; W. Trautmann; M.B. Tsang; G. Verde; C. Volant; M. Wallace; H. Weick; J. Wiechula; A. Wieloch; B. Zwiegliński
• Keywords: Statistical methods; radioactive beams; 02.50.Sk, 25.70.Mn; Discriminant analysis; Projectile fragmentation; Radioactive beams; Statistical methods; 25.70.Mn; FOS: Physical sciences; 02.50.Sk; projectile fragmentation; [PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]; discriminant analysis; 530; 01 natural sciences; 0103 physical sciences; Nuclear Experiment (nucl-ex); Nuclear Experiment

6 pages, 7 eps figures, elsart, submitted to Nucl. Instr. and Meth. A<br/>The discriminant-analysis method has been applied to optimize the exotic-beam charge recognition in a projectile fragmentation experiment. The experiment was carried out at the GSI using the fragment separator (FRS) to produce and select the relativistic secondary beams, and the ALADIN setup to measure their fragmentation products following collisions with Sn target nuclei. The beams of neutron poor isotopes around 124La and 107Sn were selected to study the isospin dependence of the limiting temperature of heavy nuclei by comparing with results for stable 124Sn projectiles. A dedicated detector to measure the projectile charge upstream of the reaction target was not used, and alternative methods had to be developed. The presented method, based on the multivariate discriminant analysis, allowed to increase the efficacy of charge recognition up to about 90%, which was about 20% more than achieved with the simple scalar methods.<br/>