9-13 November 2015
Europe/Zurich timezone
There is a live webcast for this event.

Data science in ALICE

11 Nov 2015, 09:00
222-R-001 (CERN)



Show room on map


Michele Floris (CERN)


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.

Presentation Materials


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