APRIL : a novel Algorithm for Particle Reconstruction at ILC

Abstract

The current developments for future electron-positron colliders are driven by the Particle Flow concept. In these developments, high granularity calorimeters play a central role. This presentation will focus on a new Particle Flow Algorithm (PFA) developed for high granularity calorimeters, and especially for the Semi-Digital Hadronic CALorimeter (SDHCAL) option of the International Large Detector (ILD) project. The first PFA for ILD was PandoraPFA. This new PFA (APRIL) is based on the PandoraPFA Software Development Kit, but implements a different clustering inspired from the ARBOR PFA approach. This proceeding will describe briefly the APRIL algorithm and discuss its performance against that of PandoraPFA.

arXiv comment6 pages, 5 figures, proceeding for third conference on Calorimetry for the High Energy Frontier (CHEF), November 25-29, 2019, Kyushu University, Fukuoka, Japan

References in corpus (7)

• Particle Flow Calorimetry and the PandoraPFA Algorithm
• Construction and Commissioning of the CALICE Analog Hadron Calorimeter Prototype
• Design and Electronics Commissioning of the Physics Prototype of a Si-W Electromagnetic Calorimeter for the International Linear Collider
• The Pandora Software Development Kit for Pattern Recognition
• Reconstruction of physics objects at the Circular Electron Positron Collider with Arbor
• Arbor, a new approach of the Particle Flow Algorithm
• Construction and commissioning of a technological prototype of a high-granularity semi-digital hadronic calorimeter