Kinematics reconstruction in solenoidal spectrometers operated in active target mode

TL;DR

This paper presents a method for reconstructing low-energy nuclear reaction kinematics using a Kalman filter algorithm applied to 3D charged-particle tracks within an active gas medium in solenoidal spectrometers operating in Active Target mode.

Contribution

It introduces a novel Kalman filter-based algorithm for kinematic reconstruction from 3D track data in active target detectors.

Findings

The algorithm accurately reconstructs reaction kinematics from experimental data.

Performance evaluation shows reliable results in low-energy nuclear reactions.

The method enhances analysis capabilities of Active Target Time Projection Chambers.

Abstract

We discuss the reconstruction of low-energy nuclear reaction kinematics from charged-particle tracks in solenoidal spectrometers working in Active Target Time Projection Chamber mode. In this operation mode, reaction products are tracked within the active gas medium of the Active Target with a three dimensional space point cloud. We have inferred the reaction kinematics from the point cloud using an algorithm based on a linear quadratic estimator (Kalman filter). The performance of this algorithm has been evaluated using experimental data from nuclear reactions measured with the Active Target Time Projection Chamber (AT-TPC) detector.