######### ## Read an event with 354 particles ######### ## Example of multiple pT analysis ######### Jet parameters: R_jet=1, pTcut=200 (unless otherwise stated) Trimming parameters: R_sub=0.2, fcut=0.05 ##### N_jet from full pT_cut function=1.99971 N_jet_trim from full pT_cut function=1.97156 ##### Multiple pT_cut pT_cut=10, N_jet=4.57942 pT_cut=20, N_jet=2.98989 pT_cut=50, N_jet=2.96953 pT_cut=100, N_jet=1.99971 pT_cut=150, N_jet=1.99971 ##### pT of the hardest jet=983.637 pT of the hardest trimmed jet=983.637 ######### ## Example of multiple R analysis ######### Jet parameters: R_jet=1 (unless otherwise stated), pTcut=200 Trimming parameters: R_sub=0.2, fcut=0.05 ##### N_jet from full R function=1.99971 N_jet_trim from full R function=1.97156 ##### Multiple Rjet R=0.2, N_jet=1.99997 R=0.4, N_jet=2.00011 R=0.6, N_jet=1.99988 R=0.8, N_jet=2.00023 R=1, N_jet=1.99971 #-------------------------------------------------------------------------- # FastJet release 3.0.2 # M. Cacciari, G.P. Salam and G. Soyez # A software package for jet finding and analysis at colliders # http://fastjet.fr # # Please cite arXiv:1111.6097 if you use this package for scientific # work and optionally also Phys. Lett. B641 (2006) [hep-ph/0512210]. # # FastJet is provided without warranty under the terms of the GNU GPLv2. # It uses T. Chan's closest pair algorithm, S. Fortune's Voronoi code # and 3rd party plugin jet algorithms. See COPYING file for details. #-------------------------------------------------------------------------- ######### ## Hardest jet axis and weights ######### Without global consistency and anti-kt metric: Rap_hardest_jet=-0.868431 Phi_hardest_jet=2.90578 pt_weight_hardest_jet=983.637 N_jet_weight_hardest_jet=0.999981 # With global consistency and anti-kt metric: Rap_hardest_jet=-0.868431 Phi_hardest_jet=2.90578 pt_weight_hardest_jet=983.637 N_jet_weight_hardest_jet=0.999981 # Without global consistency and cambridge metric: Rap_hardest_jet=-0.868431 Phi_hardest_jet=2.90578 pt_weight_hardest_jet=983.637 N_jet_weight_hardest_jet=0.999981 ######### ## Examples showing more general shapes ######### Jet parameters: R_jet=1, pTcut=200 Trimming parameters: R_sub=0.2, fcut=0.05 ##### Jet multiplicity as event shape, R_jet=1, pT_cut=200 Njet=1.99971 (Local Storage works? Yes) # Jet multiplicity as event shape, R_jet=1, pT_cut=200, trimming with R_sub=0.2, fcut=0.05 Njet_trim=1.97156 (Local Storage works? Yes) # Summed scalar pt as event shape, R_jet=1, pT_cut=200 HT=1893.67 (Local Storage works? Yes) # Summed scalar pt as event shape, R_jet=1, pT_cut=200, trimming with R_sub=0.2, fcut=0.05 HT_trim=1867.45 (Local Storage works? Yes) # Missing pt as event shape, R_jet=1, pT_cut=200 MissHT=76.1162 (Local Storage works? Yes) # Missing pt as event shape, R_jet=1, pT_cut=200, trimming with R_sub=0.2, fcut=0.05 MissHT_trim=91.8116 (Local Storage works? Yes) # Summed jet mass as event shape, R_jet=1, pT_cut=200 SigmaM=129.472 (Local Storage works? Yes) # Summed jet mass as event shape, R_jet=1, pT_cut=200, trimming with R_sub=0.2, fcut=0.05 SigmaM_trim=125.566 (Local Storage works? Yes) # Summed squared jet mass as event shape, R_jet=1, pT_cut=200 SigmaM2=9852.27 (Local Storage works? Yes) # Summed squared jet mass as event shape, R_jet=1, pT_cut=200, trimming with R_sub=0.2, fcut=0.05 SigmaM2_trim=9114.19 (Local Storage works? Yes) # Trimmed subjet multiplicity as event shape, ptsub_cut=50and, R_jet=1, pT_cut=200, trimming with R_sub=0.2, fcut=0.05 SigmaNsub_trim=2.04888 (Local Storage works? Yes) # Jet Scalar Pt^-2as event shape, R_jet=1, pT_cut=200 GenHT_-2=2.24003e-06 (Local Storage works? Yes) # Jet Scalar Pt^-2as event shape, R_jet=1, pT_cut=200, trimming with R_sub=0.2, fcut=0.05 GenHT_-2_trim=2.2075e-06 (Local Storage works? Yes) # Jet Scalar Pt^-1as event shape, R_jet=1, pT_cut=200 GenHT_-1=0.00211487 (Local Storage works? Yes) # Jet Scalar Pt^-1as event shape, R_jet=1, pT_cut=200, trimming with R_sub=0.2, fcut=0.05 GenHT_-1_trim=0.00208462 (Local Storage works? Yes) # Jet Scalar Pt^0as event shape, R_jet=1, pT_cut=200 GenHT_0=1.99971 (Local Storage works? Yes) # Jet Scalar Pt^0as event shape, R_jet=1, pT_cut=200, trimming with R_sub=0.2, fcut=0.05 GenHT_0_trim=1.97156 (Local Storage works? Yes) # Jet Scalar Pt^1as event shape, R_jet=1, pT_cut=200 GenHT_1=1893.67 (Local Storage works? Yes) # Jet Scalar Pt^1as event shape, R_jet=1, pT_cut=200, trimming with R_sub=0.2, fcut=0.05 GenHT_1_trim=1867.45 (Local Storage works? Yes) # Jet Scalar Pt^2as event shape, R_jet=1, pT_cut=200 GenHT_2=1.79595e+06 (Local Storage works? Yes) # Jet Scalar Pt^2as event shape, R_jet=1, pT_cut=200, trimming with R_sub=0.2, fcut=0.05 GenHT_2_trim=1.77151e+06 (Local Storage works? Yes) # ######### ## Example of JetLikeEventShape defined with an external measurement ######### HT_new = 1893.67 compare to built-in HT = 1893.67 ######### ## Example of multiple measurements using a single storage ######### # Summed Jet unit weight as event shape, R_jet=1, pT_cut=200 Njet=1.99971 # Summed Jet Scalar Pt as event shape, R_jet=1, pT_cut=200 HT=1893.67 # Summed Jet Scalar Pt^2 as event shape, R_jet=1, pT_cut=200 HT^2=1.79595e+06 # Summed Jet Mass as event shape, R_jet=1, pT_cut=200 SigmaM=129.472 # Summed Jet Mass^2 as event shape, R_jet=1, pT_cut=200 SigmaM2=9852.27 #########