On Statistical Aspects of Qjets
Abstract
The process by which jet algorithms construct jets and subjets is inherently ambiguous and equally well motivated algorithms often return very different answers. The Qjets procedure was introduced by the authors to account for this ambiguity by considering many reconstructions of a jet at once, allowing one to assign a weight to each interpretation of the jet. Employing these weighted interpretations leads to an improvement in the statistical stability of many measurements. Here we explore in detail the statistical properties of these sets of weighted measurements and demonstrate how they can be used to improve the reach of jet-based studies.
Cite
@article{arxiv.1409.6785,
title = {On Statistical Aspects of Qjets},
author = {Stephen D. Ellis and Andrew Hornig and David Krohn and Tuhin S. Roy},
journal= {arXiv preprint arXiv:1409.6785},
year = {2015}
}
Comments
29 pages, 6 figures. References added, minor modification of the text. This version to appear in JHEP