collection is based on jets reconstructed using $R=1.5$. This collection will be referred to as “[large-$R$]{} jets” in what follows. In this case, the PUPPI algorithm [@Bertolini:2014bba] is used to correct the jet energy for contributions coming from pileup. Additional information on jet substructure is obtained by reclustering the constituents of these jets via the Cambridge–Aachen algorithm [@Dokshitzer:1997in]. The “modified mass drop tagger” algorithm [@Dasgupta:2013ihk; @Butterworth:2008iy], also known as the “soft-drop” (SD) algorithm, with angular exponent $\beta = 0$, soft cutoff threshold $z_{\text{cut}} =
0.1$, and characteristic radius $R_{0} = 1.5$ [@Larkoski:2014wba], is applied to remove soft, wide-angle radiation from the jet. In the default configuration, the SD algorithm identifies two hard subjets within the [large-$R$]{} jet by reversing the Cambridge–Aachen clustering history. The kinematics of the two subjets is used to calculate the 4-momentum of the [large-$R$]{} jet. The [large-$R$]{} jets are required to have $\abs{\eta}<2.4$ and a soft drop mass of $50 < {\ensuremath{m_{\text{SD}}}}< 200\GeV$. [Large-$R$]{} jets that overlap with preselected electrons and muons, as defined by $\Delta R(\text{j},\ell)<1.5$, are discarded.

One of the most challenging tasks of this analysis is the discrimination of jets that are the result of the hadronisation of quarks from all other jet 