2019
DOI: 10.1103/physrevd.100.116010
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Polarization fraction measurement in ZZ scattering using deep learning

Abstract: Measuring longitudinally polarized vector boson scattering in the ZZ channel is a promising way to investigate unitarity restoration with the Higgs mechanism and to search for possible new physics. We investigated several deep neural network structures and compared their ability to improve the measurement of the longitudinal fraction ZLZL. Using fast simulation with the Delphes framework, a clear improvement is found using a previously investigated 'particle-based' deep neural network on a preprocessed dataset… Show more

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Cited by 20 publications
(14 citation statements)
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“…In response to the problems in determining the polarizations, a novel approach has been introduced into high energy physics (HEP). It has been shown that, the artificial neural network (ANN) can be very powerful in determining the polarizations of W, Z bosons [21][22][23] and τ lepton [24]. The ANN approach is one of the machine learning methods, which have been widely used in HEP, and are being developed rapidly in recent years [25][26][27][28][29][30][31][32][33][34].…”
Section: Jhep09(2021)085mentioning
confidence: 99%
“…In response to the problems in determining the polarizations, a novel approach has been introduced into high energy physics (HEP). It has been shown that, the artificial neural network (ANN) can be very powerful in determining the polarizations of W, Z bosons [21][22][23] and τ lepton [24]. The ANN approach is one of the machine learning methods, which have been widely used in HEP, and are being developed rapidly in recent years [25][26][27][28][29][30][31][32][33][34].…”
Section: Jhep09(2021)085mentioning
confidence: 99%
“…对于W T W T 部分的修正同时考 虑了QCD和电弱的修正, 而对于其他两种极化部分 则只考虑了QCD的次级阶修正. 不同极化分量之间 的干涉效应相对于这些分量本身是比较小的 [62] 每个图都归一到相应的预期事例 数 [56] . 创作共享许可证BY 4.0授权…”
Section: Zz散 射 的Dnn模 型 和Ww的 类 似 不 同 点 在 于前者的模型将Dnn方法与主成分分析(principleunclassified
“…The random choice and selection 4, as described in Sect. 4.2, were studied as strategies to resolve solution ambiguities Abundant literature (see, for instance, [20] and [21]) exists about machine learning (ML) and deep learning (DL) applications in high energy physics studies, including the specific case of VBS addressed here ( [22] and [23]) where the authors addressed the problem using a different approach.…”
Section: Extracting Polarization Fractions Using Neural Networkmentioning
confidence: 99%