Study of cluster reconstruction and track fitting algorithms for CGEM-IT at BESIII

TL;DR

This paper presents the development and preliminary testing of cluster reconstruction and track fitting algorithms for a GEM-based inner tracker upgrade at BESIII, utilizing a Monte Carlo simulation with promising initial results.

Contribution

It introduces a full simulation package and new algorithms for cluster reconstruction and track fitting tailored for the CGEM-IT upgrade at BESIII.

Findings

Preliminary results demonstrate effective track reconstruction.

Algorithms show promise in simulation for muon events.

Software development supports future detector upgrades.

Abstract

Considering the aging effects of existing Inner Drift Chamber (IDC) of BES\uppercase\expandafter{\romannumeral3}, a GEM based inner tracker is proposed to be designed and constructed as an upgrade candidate for IDC. This paper introduces a full simulation package of CGEM-IT with a simplified digitization model, describes the development of the softwares for cluster reconstruction and track fitting algorithm based on Kalman filter method for CGEM-IT. Preliminary results from the reconstruction algorithms are obtained using a Monte Carlo sample of single muon events in CGEM-IT.