PYTHIA Jet Datasets for cDDPM Unfolder

<p>Datasets of QCD jets used for studying unfolding in "Towards Universal Unfolding using Denoising Diffusion Probabilistic Models" consist of two different detector simulation frameworks:</p> <h3>Data-driven detector smearing:</h3> <ul> <li>Events were generated using PYTHIA 8.3 for proton-proton collisions at &radic;s = 14 TeV</li> <li>Several physics processes were simulated: <ul> <li>ttbar production with various PDFs (CT14lo, NNPDF23, CTEQ6L1)</li> <li>Z+jets (Z &rarr; &mu;&mu;) with CT14lo, NNPDF23, CTEQ6L1</li> <li>W+jets (W &rarr; &mu;&nu;) with CT14lo, NNPDF23, CTEQ6L1</li> <li>Dijet production</li> <li>Leptoquark production</li> </ul> </li> <li>Jets with radius parameter R = 0.4 were reconstructed using the anti-kT algorithm at particle-level ("gen_jets"), and then detector effects were applied ("reco_jets")</li> <li>Detector effects were simulated using ATLAS 8 TeV calibration data-derived jet resolution functions for pT, &eta;, and &phi;</li> <li>Phase space bias was applied to some samples to enhance high-pT statistics: (pT_hat/pT_ref)^a with pT_ref = 100 GeV and a = 5</li> </ul> <h3>&nbsp;</h3> <h3>DELPHES CMS detector simulation:</h3> <ul> <li>Events were generated using PYTHIA 8.3 for proton-proton collisions at &radic;s = 14 TeV</li> <li>Physics processes included: <ul> <li>ttbar production with CTEQ6L1</li> <li>Z+jets (Z &rarr; &mu;&mu;) with CTEQ6L1</li> <li>W+jets (W &rarr; &mu;&nu;) with CTEQ6L1</li> <li>Dijet production with CTEQ6L1</li> <li>Leptoquark production with CTEQ6L1</li> </ul> </li> <li>Events were passed through DELPHES 3.4.2 fast detector simulation using the CMS detector configuration</li> <li>Jets with radius parameter R = 0.4 were reconstructed using the anti-kT algorithm at both particle level ("gen_jets") and detector level ("reco_jets")</li> <li>Phase space bias was applied to some samples using (pT_hat/pT_ref)^a with pT_ref = 100 GeV and a = 5</li> </ul> <p>&nbsp;</p> <p>For both frameworks, each dataset consists of several arrays containing jet kinematic information (pT, &eta;, &phi;, E, px, py, pz) at both truth ("gen_jets") and detector ("reco_jets") level. Additional features such as event identifiers ("event_num") are included to enable reconstruction of event-level observables.</p>