Speaker
Dr
Charalampos Kouzinopoulos
(CERN)
Description
The Hough Transform algorithm is a popular image analysis method that is widely used to perform global pattern recognition in images through the identification of local patterns in a suitably chosen parameter space. The algorithm can be also used to perform track reconstruction; to estimate the trajectory of individual particles when passed through the sensitive elements of a detector volume. This paper presents a fast reconstruction method for the Time Projection Chamber (TPC) of the ALICE experiment at LHC. The method, that combines a linear Hough Transform algorithm with a fast filling of the Hough Transform parameter space, is developed within ALICE O^2, the future computing framework of ALICE for RUN3.
Primary author
Dr
Charalampos Kouzinopoulos
(CERN)
Co-author
Dr
Peter Hristov
(CERN)
