"Bootstrap $m(e\mu b_{1}b_{2})$ in $≥3b$" of "Measurement of $t\bar{t}$ production in association with additional $b$-jets in the $e\mu$ final state in proton-proton collisions at $\sqrt{s}$=13 TeV with the ATLAS detector"

Data bootstraps post unfolding for the normalised differential cross-section in the phase space with at least three $b$-jets as a function of $m(e\mu b_{1}b_{2})$ compared with predictions. The replicas are obtained by reweighting each observed data event by a random integer generated according to Poisson statistics, using the BootstrapGenerator software package (https://gitlab.cern.ch/atlas-physics/sm/StandardModelTools_BootstrapGenerator/BootstrapGenerator), which implements a technique described in ATL-PHYS-PUB-2021-011 (https://cds.cern.ch/record/2759945). The ATLAS event number and run number of each event are used as seed to uniquely but reproducibly initialise the random number generator for each event. The last bin contains the overflow.

本数据集针对至少包含3个b喷流（b-jet）的相空间内、以$m(emu b_{1}b_{2})$为观测变量的归一化微分截面，采用数据自举法完成后展开校正，并与理论预言结果进行对比。
自举复本的生成方式为：依据泊松统计生成随机整数，对每个观测到的物理事例重新赋权，并使用BootstrapGenerator软件包（https://gitlab.cern.ch/atlas-physics/sm/StandardModelTools_BootstrapGenerator/BootstrapGenerator）实现，该软件包采用了ATL-PHYS-PUB-2021-011（https://cds.cern.ch/record/2759945）中描述的技术方法。
每个事例的ATLAS事件编号与运行编号被用作随机数生成器的种子，以此为每个事例实现唯一且可复现的随机数生成器初始化。
最后一个分箱包含溢出事例。