Mass agnostic jet taggers

Mass agnostic jet taggers
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与质量无关的喷射标记器

DOI:
10.21468/scipostphys.8.1.011
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发表时间:
2019
期刊:
影响因子:
5.5
通讯作者:
B. Ostdiek
B. Ostdiek
中科院分区:
物理与天体物理2区
文献类型:
--
作者:
Layne Bradshaw;Rashmish K. Mishra;A. Mitridate;B. Ostdiek

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在大数据集中寻找新物理需要在两者之间取得平衡 两种相互竞争的效果——信号识别与背景失真。在 在这项工作中,我们对单变量和 旨在实现这种平衡的多元喷射标记方法。方法 通过增强来保持背景分布的形状 训练过程或数据本身。多种量化指标 比较所考虑的方法,用于标记 2、3 或 4 爪 来自 QCD 背景的射流。这是第一项研究表明 Planing 和基于 PCA 的扩展的数据增强技术提供 与对抗性增强训练技术相似的性能 NN 和 uBoost,但都更容易实现和计算 更便宜。
Searching for new physics in large data sets needs a balance between two competing effects—signal identification vs background distortion. In this work, we perform a systematic study of both single variable and multivariate jet tagging methods that aim for this balance. The methods preserve the shape of the background distribution by either augmenting the training procedure or the data itself. Multiple quantitative metrics to compare the methods are considered, for tagging 2-, 3-, or 4-prong jets from the QCD background. This is the first study to show that the data augmentation techniques of Planing and PCA based scaling deliver similar performance as the augmented training techniques of Adversarial NN and uBoost, but are both easier to implement and computationally cheaper.
DOI: 10.1007/jhep11(2018)027
发表时间: 2018-09
影响因子: 5.4
作者:
K. Agashe;J. Collins;P. Du;Sungwoo Hong;Doojin Kim;Rashmish K. Mishra
通讯作者: K. Agashe;J. Collins;P. Du;Sungwoo Hong;Doojin Kim;Rashmish K. Mishra
DOI: 10.21468/scipostphys.7.1.014
发表时间: 2019-02
期刊: SciPost Physics
影响因子: 5.5
作者:
Gregor Kasieczka;T. Plehn;A. Butter;K. Cranmer;Dipsikha Debnath;B. Dillon;M. Fairbairn;D. Faroughy;W. Fedorko;L. Gouskos;J. Kamenik;Patrick T. Komiske;Simon Leiss;A. Lister;S. Macaluso;S. Macaluso;E. Metodiev;L. Moore;B. Nachman;B. Nachman;Karl Nordström;J. Pearkes;H. Qu;Y. Rath;M. Rieger;D. Shih;J. Thompson;Sreedevi Varma
通讯作者: Gregor Kasieczka;T. Plehn;A. Butter;K. Cranmer;Dipsikha Debnath;B. Dillon;M. Fairbairn;D. Faroughy;W. Fedorko;L. Gouskos;J. Kamenik;Patrick T. Komiske;Simon Leiss;A. Lister;S. Macaluso;S. Macaluso;E. Metodiev;L. Moore;B. Nachman;B. Nachman;Karl Nordström;J. Pearkes;H. Qu;Y. Rath;M. Rieger;D. Shih;J. Thompson;Sreedevi Varma