Prestel, Stefan and Spannowsky, Michael (2019) 'HYTREES : combining matrix elements and parton shower for hypothesis testing.', The European physical journal C., 79 (7). p. 546.
We present a new way of performing hypothesis tests on scattering data, by means of a perturbatively calculable classifier. This classifier exploits the “history tree” of how the measured data point might have evolved out of any simpler (reconstructed) points along classical paths, while explicitly keeping quantum–mechanical interference effects by copiously employing complete leading-order matrix elements. This approach extends the standard Matrix Element Method to an arbitrary number of final state objects and to exclusive final states where reconstructed objects can be collinear or soft. We have implemented this method into the standalone package hytrees and have applied it to Higgs boson production in association with two jets, with subsequent decay into photons. hytrees allows to construct an optimal classifier to discriminate this process from large Standard Model backgrounds. It further allows to find the most sensitive kinematic regions that contribute to the classification.
|Full text:||(VoR) Version of Record|
Available under License - Creative Commons Attribution.
Download PDF (856Kb)
|Publisher Web site:||https://doi.org/10.1140/epjc/s10052-019-7030-y|
|Publisher statement:||© The Author(s) 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.|
|Date accepted:||08 June 2019|
|Date deposited:||16 July 2019|
|Date of first online publication:||28 June 2019|
|Date first made open access:||16 July 2019|
Save or Share this output
|Look up in GoogleScholar|