Abstract
The development and operation of Liquid Argon Time Projection Chambers (LAr TPCs) for neutrino physics has created a need for new approaches to pattern recognition, in order to fully exploit the superb imaging capabilities offered by this technology. The Pandora Software Development Kit provides functionality to aid the process of designing, implementing and running pattern recognition algorithms. It promotes the use of a multi-algorithm approach to pattern recognition: individual algorithms each address a specific task in a particular topology; a series of many tens of algorithms then carefully builds-up a picture of the event. The input to the Pandora pattern recognition is a list of 2D Hits. The output from the chain of over 70 algorithms is a hierarchy of reconstructed 3D Particles, each with an identified particle type, vertex and direction.
Highlights
The Pandora Software Development Kit [1] promotes the idea of a multi-algorithm approach to pattern recognition
The development and operation of Liquid Argon Time Projection Chambers (LAr TPCs) for neutrino physics has created a need for new approaches to pattern recognition, in order to fully exploit the superb imaging capabilities offered by this technology
The Pandora Software Development Kit provides functionality to aid the process of designing, implementing and running pattern recognition algorithms
Summary
- First demonstration of imaging cosmic muons in a two-phase Liquid Argon TPC using an EMCCD camera and a THGEM K. - Theoretical Aspects of the Patterns Recognition Statistical Theory Used for Developing the Diagnosis Algorithms for Complicated Technical Systems A A Obozov, I N Serpik, G S Mihalchenko et al. - Rotational Invariant Pattern Recognition Using Photorefractive Correlator Chi-Ching Chang, Yuh-Ping Tong and Hon-Fai Yau. This content was downloaded from IP address 213.127.157.146 on 09/11/2017 at 08:43. J S Marshall, A S T Blake, M A Thomson, L Escudero, J de Vries, J Weston for the MicroBooNE collaboration
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