def analyze(event, jet_trigger_filter, **kw): for jet in event.jets(): if accept_jet(event, jet) and jet_trigger_filter(event, jet): for track in filter(event.charge_filter, event.matchedPairs()): if accept_track(track) and abs(track.DeltaPhi(jet))>2.0: z = track.ptPr()/shifted(event.year, jet.Pt()) yield (z, mcasym.num('ZERO', event))
def analyze(event, jet_trigger_filter, **kw): for jet in event.jets(): if accept_jet(event, jet) and jet_trigger_filter(event, jet): for track in filter(event.charge_filter, event.matchedPairs()): if accept_track(track) and abs(track.DeltaPhi(jet)) > 2.0: true_pt = shifted(event.year, jet.Pt()) z = track.ptPr() / true_pt weight = minbias_jet_weight_true(true_pt) yield (z, weight * mcasym.num('MIN', event))
def analyze(event, jet_trigger_filter, **kw): for jet in event.jets(): if accept_jet(event, jet) and jet_trigger_filter(event, jet): for track in filter(event.charge_filter, event.matchedPairs()): if accept_track(track) and abs(track.DeltaPhi(jet))>2.0: true_pt = shifted(event.year, jet.Pt()) z = track.ptPr()/true_pt weight = minbias_jet_weight_true(true_pt) yield (z, weight*mcasym.num('ZERO', event))
def analyze(event, **kw): for track in event.matchedPairs(): if event.charge_filter(track) and accept_track(track): yield (track.pt(), mcasym.num('P070', event))
def analyze(event, **kw): for track in event.pythiaRecord(): if event.charge_filter(track) and accept_track(track): yield (track.vec.Pt(), mcasym.num('P045', event))
def analyze(event, **kw): for track in event.matchedPairs(): if event.charge_filter(track) and accept_track(track): yield (track.pt(), mcasym.num("P045", event))
def analyze(event, **kw): for track in event.pythiaRecord(): if event.charge_filter(track) and accept_track(track): yield (track.vec.Pt(), mcasym.num('M045', event))