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SUMMARY:The search for resonances with topological requirements with the Z
 γ final state at the LHC
DTSTART;VALUE=DATE-TIME:20220323T154500Z
DTEND;VALUE=DATE-TIME:20220323T160000Z
DTSTAMP;VALUE=DATE-TIME:20260714T134057Z
UID:indico-contribution-2204@indico.tlabs.ac.za
DESCRIPTION:Speakers: Nalamotse Joshua Choma (Wits University)\nMachine le
 arning techniques have been improving rapidly\, and this has seen their\na
 pplication grow within the high energy particle physics space. In this wor
 k\, we propose the use of deep neural networks based on full supervised le
 arning to search for heavy resonances at the electroweak scale with topolo
 gical requirements. This study is carried out in both inclusive and exclus
 ive regions of the phase space tailored for specific production mode. The 
 technique is well situated for collider searches due to its ability to lea
 rn more complex functions\, and it is evaluated in the Zγ final state usi
 ng the Monte Carlo simulated signal samples for 139 $\\text{fb}^{-1}$ of i
 ntegrated luminosity for Run 2\, collected at the LHC. This approach is co
 mplemented with semi-supervised learning and used to calculate the limit o
 n the production of Higgs-like to Zγ where the significance of the signal
  is maximum.\n\nhttps://indico.tlabs.ac.za/event/109/contributions/2204/
LOCATION:
URL:https://indico.tlabs.ac.za/event/109/contributions/2204/
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