The sensitivity of many physics analyses can be enhanced by constructing discriminants that preferentially select signal events. Such discriminants become much more useful if they are uncorrelated with a set of protected attributes. In this paper we show that a normalizing flow conditioned on the protected attributes can be used to find a decorrelated representation for any discriminant. As a normalizing flow is invertible the separation power of the resulting discriminant will be unchanged at any fixed value of the protected attributes. We demonstrate the efficacy of our approach by building supervised jet taggers that produce almost no sculpting in the mass distribution of the background.

翻译：许多物理学分析的灵敏度可以通过建立优先选择信号事件的共鸣器来提高许多物理学分析的灵敏度。如果这种共鸣器与一组受保护的特性不相干,则其作用会大得多。在本文中,我们表明,以受保护的特性为条件的正常流动可以用来为任何相扰者找到与装饰有关的代表物。由于正常流动是不可逆的,因此,由此形成的共鸣器的分立力将按受保护特性的任何固定价值保持不变。我们通过建立监督的喷气式标签器来证明我们的方法的有效性,这些标签器几乎不会在背景的大规模分布中产生任何雕刻。