Segmented Independent Component Analysis for Online Filtering Using Highly Segmented Detectors
E. Furtado De Simas Filho, Jose Manuel de Seixas, Luz Pereira Caloba · Seventh International Conference on Intelligent Systems Design and Applications (ISDA 2007) · 2007
An online particle discrimination system is proposed for the ATLAS particle detector, which will be placed at one of the collision points of LHC, the next generation particle collider experiment. segmented independent component analysis (SICA) is applied over a highly segmented calorimeter (energy measurement system) in order to cope with the different levels of granularity present at each segment of the detector. A discrimination efficiency of 97% was achieved for a false alarm probability of 4.8%.