  A Shashlyk-type electromagnetic calorimeter (ECal) will be used in the
Multi-purpose Detector at Nuclotron-based Ion Collider facility to study the
properties of nuclear matter. In this experiment, the ECal detector is
responsible for measuring the energy and position of the incident particles,
and identifying them with the information obtained from itself and other
detectors. This paper analyzes the position resolution of the Tsinghua ECal
modules using the data from a beam test in DESY. Several reconstruction methods
are studied in detail. With a deep learning based algorithm, the position
resolution of the prototypes achieves less than 3.8 mm for 1.6 GeV electron
beam, which is improved by about 30% compared to that of traditional charge
center of gravity method.
