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Boosted Decision Tree Analysis in the Context of the CMS Search for a W’ Boson

Optimizing the Boosted Decision Tree (BDT) to enhance sensitivity in the search for a W' Boson. Weekly updates on training progress, discriminant plots, and expected mass limit analysis. Next step: using CMS data from 2016 and 2017.

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Boosted Decision Tree Analysis in the Context of the CMS Search for a W’ Boson

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  1. Boosted Decision Tree Analysis in the Context of the CMS Search for a W’ Boson Current goal: Optimizing the Boosted Decision Tree (BDT) to achieve a better sensitivity. Hichem Bouchamaoui Mentor: Dr. Tulika Bose, Dr. Dylan Rankin. Boston University 11 June 2018

  2. Weekly Update 1 • We checked if the BDT training went well and there is no sign of overtraining. • In the following slide, we will look at Discriminant plots

  3. Electron Channel Discriminant Plots

  4. Hichem Bouchamaoui Boston University

  5. Hichem Bouchamaoui Boston University

  6. Hichem Bouchamaoui Boston University

  7. Muon Channel Discriminant Plots

  8. Hichem Bouchamaoui Boston University

  9. Hichem Bouchamaoui Boston University

  10. Hichem Bouchamaoui Boston University

  11. Weekly Update 1 • We checked if the BDT training went well and there is no sign of overtraining. • One thing to worry about in the future are variables that are not well described in real data.

  12. Hichem Bouchamaoui Boston University Weekly Update 2 • We were able to analyze our mass expected limit plots and came up with a few explanations. 1) Smaller improvement in high masses. 2) No improvement for some masses. • Another note: adding variables with 0 importance to the BDT does NOT lead the BDT to overtraining.

  13. Expected Mass Limit Plots Muon Channel Electron Channel BDT 2.1 BDT 3.0

  14. Hichem Bouchamaoui Boston University Next Step • Use the BDT with CMS data from 2016 and 2017.

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