Determination of the WW polarization fractions in pp→W±W±jj using a deep machine learning technique

Searcy, Jacob; Huang, Lillian; Pleier, Marc -Andre; Zhu, Junjie

doi:10.1103/PhysRevD.93.094033

Title: Determination of the $W W$ polarization fractions in $p p \to W^{\pm} W^{\pm} j j$ using a deep machine learning technique

Journal Article · Fri May 27 00:00:00 EDT 2016 · Physical Review D

DOI:https://doi.org/10.1103/PhysRevD.93.094033· OSTI ID:1335491

Searcy, Jacob ^[1]; Huang, Lillian ^[1]; Pleier, Marc -Andre ^[2]; Zhu, Junjie ^[1]

Univ. of Michigan, Ann Arbor, MI (United States)
Brookhaven National Lab. (BNL), Upton, NY (United States)

The unitarization of the longitudinal vector boson scattering (VBS) cross section by the Higgs boson is a fundamental prediction of the Standard Model which has not been experimentally verified. One of the most promising ways to measure VBS uses events containing two leptonically decaying same-electric-charge W bosons produced in association with two jets. However, the angular distributions of the leptons in the W boson rest frame, which are commonly used to fit polarization fractions, are not readily available in this process due to the presence of two neutrinos in the final state. In this paper we present a method to alleviate this problem by using a deep machine learning technique to recover these angular distributions from measurable event kinematics and demonstrate how the longitudinal-longitudinal scattering fraction could be studied. Furthermore, we show that this method doubles the expected sensitivity when compared to previous proposals.

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Research Organization:: Brookhaven National Lab. (BNL), Upton, NY (United States)

Sponsoring Organization:: USDOE Office of Science (SC), High Energy Physics (HEP)

Grant/Contract Number:: SC00112704; SC0008062; SC0012704

OSTI ID:: 1335491

Alternate ID(s):: OSTI ID: 1254679

Report Number(s):: BNL-112187-2016-JA; PRVDAQ

Journal Information:: Physical Review D, Vol. 93, Issue 9; ISSN 2470-0010

Publisher:: American Physical Society (APS)Copyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 23 works

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