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Prototype of trackster tagging and smoothing for CMS HGCAL reconstructions at CERN.

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Pattern recognition for particle shower reconstruction

Master's thesis at University of Zurich focused on particle shower reconstruction at the CMS HGCAL. Towards scalable pattern recognition on the point cloud of clusters.

Problem

Connect clusters of energy generated by the same particle.

Approach

Explore graph based methods such as ParticleNet.

Color scheme

Color palette for thesis figures:

  • orange: #E69F00
  • lightblue: #56B4E9
  • green: #009E73
  • yellow: #F0E442
  • darkblue: #0072B2
  • darkorange: #D55E00
  • pink: #CC79A7

About

Prototype of trackster tagging and smoothing for CMS HGCAL reconstructions at CERN.

Topics

cms pattern-recognition hgcal cern uzh dgcnn particlenet

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