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arXiv · 1210.6861

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

Vladimir Vava Gligorov·Mike Williams
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Abstract

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.

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Vladimir Vava Gligorov, Mike Williams. 2012-10-25. Efficient, reliable and fast high-level triggering using a bonsai boosted decision tree. https://doi.org/10.1088/1748-0221/8/02/p02013

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