4-8 November 2019
Adelaide Convention Centre
Australia/Adelaide timezone

Particle Reconstruction with Graph Networks for irregular detector geometries

4 Nov 2019, 11:15
15m
Riverbank R6 (Adelaide Convention Centre)

Riverbank R6

Adelaide Convention Centre

Oral Track 2 – Offline Computing Track 2 – Offline Computing

Speaker

Maurizio Pierini (CERN)

Description

We use Graph Networks to learn representations of irregular detector geometries and perform on it typical tasks such as cluster segmentation or pattern recognition. Thanks to the flexibility and generality of the graph architecture, this kind of network can be applied to detector of arbitrarly geometry, representing the detector elements through a unique detector identification (e.g., physical position) and the readout value and embedding as vertices in a graph. We apply this idea to tasks related to calorimetry and tracking in LHC-like conditions, investigating original graph architectures to optimise performance and memory footprint.

Consider for promotion Yes

Primary authors

Mauro Verzetti (CERN) Maurizio Pierini (CERN) Jan Kieseler (CERN) Swapneel Sundeep Mehta (Dwarkadas J Sanghvi College of Engineering (IN)) Shah Rukh Qasim (SEECS - School of Electrical Engine ering and Computer Science ) Yutaro Iiyama (CERN)

Presentation Materials