14-18 October 2013
Amsterdam, Beurs van Berlage
Europe/Amsterdam timezone

Self-Organizing Map in ATLAS Higgs Searches

14 Oct 2013, 15:00
45m
Grote zaal (Amsterdam, Beurs van Berlage)

Grote zaal

Amsterdam, Beurs van Berlage

Poster presentation Event Processing, Simulation and Analysis Poster presentations

Speaker

Giovanni Zurzolo (Universita e INFN (IT))

Description

Artificial Neural Networks (ANN) are widely used in High Energy Physics, in particular as software for data analysis. In the ATLAS experiment that collects proton-proton and heavy ion collision data at the Large Hadron Collider, ANN are mostly applied to make a quantitative judgment on the class membership of an event, using a number of variables that are supposed to discriminate between different classes. The discrimination between quark-initiated and gluon-initiated jets is an example of the possible applications in the ATLAS experiment and it potentially has a great chance to improve many physics analyses. In this work the application of the unsupervised Self-Organizing Map (SOM) is proposed as quark-gluon tagging for events with two jets in the ATLAS experiment. The performance of the SOM application for quark-gluon discrimination are shown in different ranges of jet pT , confirming the feasibility of the quark-gluon tagging down to very low pT values. The application of the SOM technique to the Higgs searches is described and the results are shown and discussed.

Primary author

Giovanni Zurzolo (Universita e INFN (IT))

Co-authors

Arturo Sanchez Pineda (Universita di Napoli Federico II-Universita e INFN) Claudio Savarese (Universita e INFN (IT)) Francesco Conventi (Universita e INFN (IT))

Presentation Materials

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