Supervised jet clustering reference data

<p>A set of MC simulated events for training/testing machine learning architectures for the task of supervised jet clustering.<br> In total 100,000 W&#39; events and 100,000 q* events<br> Description:<br> * 13 TeV collision data simulated with pythia 8.183.<br> * wboson.txt contains events generated from a W&#39; boson with a mass of 600 GeV, which decays 100% of the time to a W boson and a Z boson. The W boson is forced to decay haronically and the Z boson decays into neutrinos.<br> * qstar.txt contains events generated from a excited quark q* with a mass of 600 GeV, which decays 100% of the time to a quark and a Z boson. The Z boson is forced to decay into neutrinos.<br> * events in the text format<br> * each line in the text represent one event, which contains variable number of detector-stable particles.<br> * each particle contains 7 features in order: [px, py, pz, E, pdgID, is-from-W, is-in-leading-jet]. The first four features are the four momentum of the particle, and pdgID is the pag number of the particle. is-from-W is 1 if the particle coming from W boson and 0 otherwise. is-in-leading-jet is 1 if the particle is inside the leading jet reconstructed from the anti-kT jet algorithm (R=1.0).</p> <p>&nbsp;</p>