Introduction to HOBIT, a b-Jet Identification Tagger at the CDF Experiment Optimized for Light Higgs Boson Searches

TL;DR

HOBIT is a neural network-based b-jet identification algorithm optimized for light Higgs boson searches at CDF, significantly improving b-jet tagging efficiency over previous methods.

Contribution

The paper introduces HOBIT, a novel multivariate b-tagging algorithm specifically designed for Higgs searches, combining and extending previous tagging techniques with neural networks.

Findings

HOBIT tags 54% of b jets in simulated Higgs events at 120 GeV/c2.

HOBIT achieves higher b-jet efficiency compared to SecVtx at the same light-jet rejection rate.

The algorithm provides a continuous output optimized for Higgs boson search sensitivity.

Abstract

We present the development and validation of the Higgs Optimized b Identification Tagger (HOBIT), a multivariate b-jet identification algorithm optimized for Higgs boson searches at the CDF experiment at the Fermilab Tevatron. At collider experiments, b taggers allow one to distinguish particle jets containing B hadrons from other jets; these algorithms have been used for many years with great success at CDF. HOBIT has been designed specifically for use in searches for light Higgs bosons decaying via H ! b\bar{b}. This fact combined with the extent to which HOBIT synthesizes and extends the best ideas of previous taggers makes HOBIT unique among CDF b-tagging algorithms. Employing feed-forward neural network architectures, HOBIT provides an output value ranging from approximately -1 ("light-jet like") to 1 ("b-jet like"); this continuous output value has been tuned to provide maximum sensitivity in light Higgs boson search analyses. When tuned to the equivalent light jet rejection rate, HOBIT tags 54% of b jets in simulated 120 GeV/c2 Higgs boson events compared to 39% for SecVtx, the most commonly used b tagger at CDF. We present features of the tagger as well as its characterization in the form of b-jet finding efficiencies and false (light-jet) tag rates.