Boosted decision tree-driven cut-based analysis for event recognition in Stealth SUSY decays for √s = 13 TeV

Authors

Justin I. Alvarez Philippine Science High School ‒ Main Campus and National Institute of Physics, University of the Philippines Diliman
Jose Perico H. Esguerra National Institute of Physics, University of the Philippines Diliman
Marvin M. Flores National Institute of Physics, University of the Philippines Diliman and School of Physics, University of the Witwatersrand, South Africa

Abstract

Boosted Decision Trees (BDT) algorithm using the XGBoost toolkit was applied to a dataset that contains a Stealth SUSY decay chain signal and QCD multijets background. Using the top ranking features according to BDT, the following cuts greatly reduced the amount of QCD multijets background in the dataset: the number of large-radius (R = 1.0) jets in an event must be greater than 3 and the angular separation distance between the leading and next-leading photon (ΔR_γ1,γ2) must be greater than 0.10. The calculated signal significance Z = s/√(s + b) for this search at benchmark point (m_q̃ = 1650 GeV/m_χ̃10 = 250 GeV) scaled at 36 fb⁻¹ integrated luminosity is 4.76; higher than the 1.48 significance of the latest ATLAS search that probes SUSY processes for the same benchmark point and integrated luminosity [Phys. Rev. D 97, 092006 (2018)].

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Issue

2021: Proceedings of the 39th Samahang Pisika ng Pilipinas Physics Conference

Article ID

SPP-2021-3B-04

Section

Fields and Particle Physics

Published

2021-09-21

How to Cite

[1]

JI Alvarez, JPH Esguerra, and MM Flores, Boosted decision tree-driven cut-based analysis for event recognition in Stealth SUSY decays for √s = 13 TeV, Proceedings of the Samahang Pisika ng Pilipinas 39, SPP-2021-3B-04 (2021). URL: https://proceedings.spp-online.org/article/view/SPP-2021-3B-04.