Speaker
Abdelhamid Haddad
(LPCA)
Description
I will present the reinterpretation of the CalRatio + X ATLAS analysis (arXiv:2407.09183), focusing 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.
