"Figure 7 - right, high pt cut based WPs" of "Identification of hadronic tau lepton decays using a deep neural network"

Efficiency for muons against efficiency for simulated τh to pass the cutoff-based and Dμ discriminators, separately for muons and tau_h with 20 < pt < 100 GeV (left) and pt > 100 GeV (right). The four working points are indicated as full circles. Vertical bars cor- respond to the statistical uncertainties. In both pt regimes, the D_m discriminator rejects up to a factor of 10 more muons at tau_h efficiencies around 99%, and it leads to an increase of the τh efficiency for a similar background rejection by about 0.5%

针对基于截断的鉴别器（cutoff-based discriminator）与Dμ鉴别器（Dμ discriminator）的甄别过程，μ子与模拟τ_h（tau_h）的甄别效率对比结果，按横向动量区间分为两组：20 < pt < 100 GeV（左侧面板）与pt > 100 GeV（右侧面板）。四个工作点以实心圆点标示。垂直误差棒代表统计不确定度。在两种横向动量区间内，当τ_h甄别效率约为99%时，Dμ鉴别器可多剔除多达10倍的μ子；且在背景剔除能力相近的前提下，该鉴别器可使τ_h的甄别效率提升约0.5%。