1210.6861 (Vladimir Vava Gligorov et al.)

Efficient, reliable and fast high-level triggering using a bonsai
boosted decision tree    [PDF]

Vladimir Vava Gligorov, Mike Williams

High-level triggering is a vital component in many modern particle physics experiments. This paper describes a modification to the standard boosted decision tree (BDT) classifier, the so-called "bonsai" BDT, that has the following important properties: it is more efficient than traditional cut-based approaches; it is robust against detector instabilities, and it is very fast. Thus, it is fit-for-purpose for the online running conditions faced by any large-scale data acquisition system.

View original: http://arxiv.org/abs/1210.6861