Calorimeter Assisted Tracking Algorithm for SiD

TL;DR

This paper presents a calorimeter-assisted tracking algorithm for the SiD detector that uses electromagnetic calorimeter data to improve the reconstruction of non-prompt tracks, enhancing pattern recognition capabilities.

Contribution

The paper introduces a novel track finding algorithm leveraging calorimeter data as seeds, improving detection of tracks not identifiable by vertex detector seeds.

Findings

Efficient reconstruction of non-prompt tracks achieved.

Algorithm integrated into org.lcsim framework.

Performance demonstrated in non-prompt track scenarios.

Abstract

Calorimeter-assisted track finding algorithm takes advantage of the finely segmented electromagnetic calorimeter proposed for the SiD detector concept by looking for "MIP stubs" produced by charged particles in the calorimeter, and using them as seeds for pattern recognition in the tracker. The algorithm allows for efficient reconstruction of tracks that cannot be found using seeds provided by the vertex detector, even if standalone pattern recognition in the outer tracker is difficult. The algorithm has been implemented as a package in the org.lcsim framework. Current status of the package and its performance in non-prompt tracks reconstruction are described.