Tracking Algorithms for TPCs using Consensus-Based Robust Estimators

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.

References in corpus (9)

• The ALICE TPC, a large 3-dimensional tracking device with fast readout for ultra-high multiplicity events
• S$\pi$RIT: A time-projection chamber for symmetry-energy studies
• A Time Projection Chamber for High Accuracy and Precision Fission Cross Section Measurements
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Cited by in corpus (3)

• ${\beta }^{+}$ Gamow-Teller strengths from unstable ${}^{14}$O via the $(d,{}^2\text{He})$ reaction in inverse kinematics
• Simulations and analysis tools for charge-exchange $(d,{}^2\text{He})$ reactions in inverse kinematics with the AT-TPC
• Digital Signal Analysis based on Convolutional Neural Networks for Active Target Time Projection Chambers