25-29 June 2018
Africa/Johannesburg timezone
General information and Registration for SAIP2018 is handled by Eastern Sun Events at: http://www.saipconference.co.za/ <p> Deadline for papers for the conference proceedings is 28 July 2018

Mitigating the effect of fake missing energy using Machine learning in the ATLAS experiment

27 Jun 2018, 11:40
20m
Oral Presentation Track B - Nuclear, Particle and Radiation Physics Nuclear, Particle and Radiation Physics

Speaker

Mr Kehinde Tomiwa (University of the Witwatersrand)

Description

The missing transverse momentum in the ATLAS experiment is the momentum imbalance in the plane transverse to the beam axis. That is the resultant of the negative vectorial sum of the momenta of all particles that are involved in the proton-proton collision. A precise measurement of the missing transverse energy is essential for many physics studies at the LHC, such as Higgs boson measurements and dark matter search. The result presented in this study are from the implementation of Boosted Decision tree (BDTs) based on vertex variables and fake/real missing samples. The preliminary results show the BDTs classifiers can improve signal purity to about 50% as compared to the nominal selection.

Supervisor details<br><b>If not a student, type N/A.</b><br>Student abstract submision<br>requires supervisor permission:<br>please give their name,<br> institution and email address.

Prof. Bruce Mellado, University of the Witwatersrand, Bruce.Mellado@wits.ac.za

Consideration for<br>student awards<br><b>Choose one option<br>from those below.</b><br>N/A<br>Hons<br>MSc<br>PhD PhD
Please confirm that you<br>have carefully read the<br>abstract submission instructions<br>under the menu item<br>"Call for Abstracts"<br><b>(Yes / No)</b> Yes

Primary authors

Prof. Bruce Mellado (University of the Witwatersrand) Mr Kehinde Tomiwa (University of the Witwatersrand) Dr XIFENG RUAN (WITS)

Presentation Materials

Peer reviewing

Paper