HYTREES: combining matrix elements and parton shower for hypothesis testing

Prestel, Stefan; Spannowsky, Michael

Abstract

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.

Citation

Prestel, S., & Spannowsky, M. (2019). HYTREES: combining matrix elements and parton shower for hypothesis testing. The European Physical Journal C, 79(7), Article 546. https://doi.org/10.1140/epjc/s10052-019-7030-y

• Journal Article Type: Article
• Acceptance Date: Jun 8, 2019
• Online Publication Date: Jun 28, 2019
• Publication Date: Jun 28, 2019
• Deposit Date: Jul 16, 2019
• Publicly Available Date: Jul 16, 2019
• Journal: European Physical Journal C: Particles and Fields
• Print ISSN: 1434-6044
• Electronic ISSN: 1434-6052
• Publisher: SpringerOpen
• Peer Reviewed: Peer Reviewed
• Volume: 79
• Issue: 7
• Article Number: 546
• DOI: https://doi.org/10.1140/epjc/s10052-019-7030-y