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Talk56 min

How the machine learning conquers reconstruction in neutrino experiments

Robert Sulej · CERN

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About

An evolution from the purely algorithmic approaches towards the machine learning solutions started a few years ago in the neutrino experiments. Now, this process turns into a true boom, especially in the experiments based on the imaging technologies, such as LArTPC's used in MicroBooNE and DUNE experiments or liquid scintillator detector implemented by the NOvA Collaboration. High resolution, image-like projections of events obtained with these detectors proved to be hard pattern recognition problems for the conventional reconstruction techniques. In the seminar, I will present why the neutrino events are so challenging and how the essential difficulties are now being attacked with the machine learning. .

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The talk

  1. How the machine learning conquers reconstruction in neutrino experiments 2017-07-26 · 56 min · CERN's player

Credits and licence

Institution
CERN
Department
EP-IT Data science seminars
Speaker
Robert Sulej
Year
2017
Language
English
Subjects
Computer science
Source
CERN
Licence
CERN, as CERN states it. CERN's terms
Attribution
© CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
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