15–17 Oct 2018
CERN
Europe/Zurich timezone

The TrackML tracking challenge : status report at half time

17 Oct 2018, 11:35
20m
503/1-001 - Council Chamber (CERN)

503/1-001 - Council Chamber

CERN

162
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Speaker

Andreas Salzburger (CERN)

Description

LHC experiments need to reconstruct the trajectory of particles from the few precise measurements in the detector. One major process is to « connect the dots », that is associate together the points left by each particle. The complexity of the process is growing exponentially with the LHC luminosity, so that new algorithms are needed. The TrackML challenge is a two phases competition to tackle the issue: 100.000 points to be associated into 10.000 tracks in less than 100 seconds. The first phase (with no speed incentive) has run on Kaggle over the summer, while the second one (with a strong speed incentive) is just starting on Codalab https://sites.google.com/site/trackmlparticle/ . I will summarize the preliminary findings and perspective.

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Authors

David Rousseau (LAL-Orsay, FR) Andreas Salzburger (CERN) Paolo Calafiura (Lawrence Berkeley National Lab. (US)) Steven Farrell (Lawrence Berkeley National Lab (US)) Moritz Kiehn (Universite de Geneve (CH)) Sabrina Amrouche (Université de Geneve (CH)) Tobias Golling (Universite de Geneve (CH)) Cecile Germain (Universite Paris Sud) Victor Estrade (LRI) Vladimir Gligorov (Centre National de la Recherche Scientifique (FR)) Heather Gray (LBNL) Isabelle Guyon Vincenzo Innocente (CERN) Mikhail Hushchyn (Yandex School of Data Analysis (RU)) Edward Moyse (University of Massachusetts (US)) Andrey Ustyuzhanin (Yandex School of Data Analysis (RU)) Dr Jean-Roch Vlimant (California Institute of Technology (US)) Yetkin Yilmaz (LAL-Orsay (FR))

Presentation materials