Global Transformations in Pattern Recognition of Bubble Chamber Photographs

In this paper we present some new ideas on pattern recognition of bubble chamber photographs. We have found global transformations that reduce circular tracks to a point in a two-dimensional angle-curvature space. The performance of this tracking method on a sample of bubble chamber events is presented and planned improvements are discussed.