Extraction Method of Fine Granular Performance from Scintillator Strip Electromagnetic Calorimeter
Katsushige Kotera, Daniel Jeans, Akiya Miyamoto, and Tohru Takeshita

TL;DR
This paper presents an algorithm to extract high-resolution performance data from a scintillator strip-based electromagnetic calorimeter, enabling particle flow reconstruction with near-true granularity in high energy physics experiments.
Contribution
The paper introduces a novel algorithm that reconstructs fine granularity information from strip-based calorimeters, approaching the performance of true high-resolution readouts.
Findings
Performance close to true 5x5 mm^2 granularity
Improvement with interspersed 10x10 mm^2 tile layers
Effective for future high energy physics experiments
Abstract
We describe an algorithm which has been developed to extract fine granularity information from an electromagnetic calorimeter with strip-based readout. Such a calorimeter, based on scintillator strips, is being developed to apply particle flow reconstruction to future experiments in high energy physics. Tests of this algorithm in full detector simulations, using strips of size 45 x 5 mm^2 show that the performance is close to that of a calorimeter with true 5 x 5 mm^2 readout granularity. The performance can be further improved by the use of 10 x 10 mm^2 tile- shaped layers interspersed between strip layers.
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