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Talk23 min

BDT as a Surrogate Model

Louie Dartmoor Corpe and Abdelhamid Haddad · CERN

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About

I will present the reinterpretation material of the CalRatio + X ATLAS analysis (arXiv:2407.09183). The analysis focuses on neutral long-lived particles decaying within the ATLAS hadronic calorimeter. The reinterpretation involves a Boosted Decision Tree (BDT) trained on truth-level variables to estimate the probability of events within the ABCD plane and assess the sensitivity of the analysis. The BDT weights, along with a Python code example, are available on HEPData to ensure reproducibility. Additionally, I will discuss how this method can be extended to other analyses, providing guidance for broader applications..

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The talk

  1. BDT as a Surrogate Model 2025-02-26 · 23 min · CERN's player

Credits and licence

Institution
CERN
Department
Workshops
Taught by
Louie Dartmoor Corpe, Abdelhamid Haddad
Year
2025
Language
English
Subjects
Physics
Source
CERN
Licence
CERN, as CERN states it. CERN's terms
Attribution
© CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
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