CERN Accelerating science

Talk
Title Data science in ALICE
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Author(s) FLORIS, Michele (speaker) (CERN)
Corporate author(s) CERN. Geneva
Imprint 2015-11-11. - Streaming video.
Series (LPCC Workshops)
(Data Science @ LHC 2015 Workshop)
Lecture note on 2015-11-11T09:00:00
Subject category LPCC Workshops
Abstract ALICE is the LHC experiment dedicated to the study of Heavy Ion collisions. In particular, the detector features low momentum tracking and vertexing, and comprehensive particle identification capabilities. In a single central heavy ion collision at the LHC, thousands of particles per unit rapidity are produced, making the data volume, track reconstruction and search of rare signals particularly challenging. Data science and machine learning techniques could help to tackle some of the challenges outlined above. In this talk, we will discuss some early attempts to use these techniques for the processing of detector signals and for the physics analysis. We will also highlight the most promising areas for the application of these methods.
Copyright/License © 2015-2024 CERN
Submitted by michelangelo.mangano@cern.ch

 


 Record created 2015-11-13, last modified 2022-11-02


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