Track Recognition for the $\Delta E-E$ Telescopes with Silicon Strip Detectors

TL;DR

This paper introduces a novel track recognition method for silicon strip detectors in heavy ion experiments, achieving high efficiency in multi-track recognition through specialized decoding algorithms.

Contribution

The paper presents a new decoding algorithm for silicon strip detectors that improves multi-track recognition efficiency in heavy ion telescopes.

Findings

Track recognition efficiency is approximately 90% for DSSSD-CsI events.

Track recognition efficiency is approximately 80% for SSSSD-DSSSD events.

The method effectively handles charge sharing and missing signals in multi-hit scenarios.

Abstract

For the high granularity and high energy resolution, Silicon Strip Detector (SSD) is widely applied in assembling telescopes to measure the charged particles in heavy ion reactions. In this paper, we present a novel method to achieve track recognition in the SSD telescopes of the Compact Spectrometer for Heavy Ion Experiment (CSHINE). Each telescope consists of a single-sided silicon strip detector (SSSSD) and a double-sided silicon strip detector (DSSSD) backed by $3 \times 3$ CsI(Tl) crystals. Detector calibration and track reconstruction are implemented. Special decoding algorithm is developed for the multi-track recognition procedure to deal with the multi-hit effect convoluted by charge sharing and the missing signals with certain probability. It is demonstrated that the track recognition efficiency of the method is approximately 90\% and 80\% for the DSSSD-CsI and SSSSD-DSSSD events, respectively.