Pseudo-data generation and benchmarking

Pseudo-data is generated using MadGraph5_aMC@NLO [Alwall et al., 2014] interfaced to SMEFTsim [Brivio et al., 2017], [Brivio, 2021] with NNPDF31_nnlo_as_0118 as the input PDF set [Ball and others, 2013].

Here we compare the distribution of pseudo-data in the parton level \(m_{t\bar{t}}\) invariant mass to the FormCalc-based analytical calculation. Technical details of the analytical calculation can be found in the code documentation: ml4eft.core.truth