Tracking Algorithms for TPCs using Consensus-Based Robust Estimators

TL;DR

This paper presents a new consensus-based robust tracking algorithm for time-projection chambers that outperforms RANSAC in inlier-outlier detection and improves tracking efficiency, especially for short tracks near detection limits.

Contribution

The work introduces a novel tracking algorithm using consensus-robust estimators with modifications to sampling and clustering, enhancing performance over existing methods like RANSAC.

Findings

Superior inlier-outlier detection compared to RANSAC

Enhanced tracking efficiency for short tracks

Consistent good results across multiple detector data sets

Abstract

A tracking algorithm based on consensus-robust estimators was implemented for the analysis of experiments with time-projection chambers. In this work, few algorithms beyond RANSAC were successfully tested using experimental data taken with the AT-TPC, ACTAR and TexAT detectors. The present tracking algorithm has a better inlier-outlier detection than the simple sequential RANSAC routine. Modifications in the random sampling and clustering were included to improve the tracking efficiency. Very good results were obtained in all the test cases, in particular for fitting short tracks in the detection limit.