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

Data science in ALICE

11 Nov 2015, 09:00
45m
222/R-001 (CERN)

222/R-001

CERN

200
Show room on map

Speaker

Michele Floris (CERN)

Description

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

Subcontributions