Identification of circles from datapoints using Gaussian sums
Instrumentation and Detectors
2015-06-19 v3 High Energy Physics - Experiment
Abstract
We present a pattern recognition method which use datapoints on a plane and estimates the parameters of a circle. MC data are generated in order to test the method's efficiency over noise hits, uncertainty in the hits positions and number of datapoints. The scenario were the hits from a quadrant of the circle are missing is also considered. The method proposed is proven to be robust, accurate and very efficient.
Cite
@article{arxiv.1403.4413,
title = {Identification of circles from datapoints using Gaussian sums},
author = {T. Alexopoulos and G. Iakovidis and S. Leontsinis and K. Ntekas and V. Polychronakos},
journal= {arXiv preprint arXiv:1403.4413},
year = {2015}
}
Comments
4 pages, 5 figures