论文标题
无背景雕刻的共振异常检测
Resonant anomaly detection without background sculpting
论文作者
论文摘要
我们引入了一种新技术，称为潜在阴极（LACATHODE），用于执行“增强的凸起狩猎”，这是一种谐振异常搜索，将传统的一维凸起狩猎与模型无义的异常分数结合在辅助特征空间中，其中潜在的信号也可以进行本地位置。与现有方法相比，LACATHODE的主要优点是，它在评估信号区域以外的评估时提供了表现良好的异常分数，这对于防止撞击中的背景分布雕刻至关重要。 LacAthode通过直接在侧带区域训练的有条件归一化流量学到的潜在空间中构建异常得分来实现这一目标。我们证明了在说明性玩具示例以及LHC奥运会R＆D数据集中，在增强的凸起狩猎中的lacathode的出色稳定性和可比性的性能。
We introduce a new technique named Latent CATHODE (LaCATHODE) for performing "enhanced bump hunts", a type of resonant anomaly search that combines conventional one-dimensional bump hunts with a model-agnostic anomaly score in an auxiliary feature space where potential signals could also be localized. The main advantage of LaCATHODE over existing methods is that it provides an anomaly score that is well behaved when evaluating it beyond the signal region, which is essential to prevent the sculpting of background distributions in the bump hunt. LaCATHODE accomplishes this by constructing the anomaly score directly in the latent space learned by a conditional normalizing flow trained on sideband regions. We demonstrate the superior stability and comparable performance of LaCATHODE for enhanced bump hunting in an illustrative toy example as well as on the LHC Olympics R&D dataset.
