EIC Software
Reference for
EIC
simulation and reconstruction software on GitHub
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Go to the source code of this file.
Namespaces | |
namespace | charm_jet_coverage |
Variables | |
tuple | charm_jet_coverage.parser argparse.ArgumentParser() |
string | charm_jet_coverage.help "Directory containing input files" |
tuple | charm_jet_coverage.args parser.parse_args() |
string | charm_jet_coverage.pt_name "Jet.PT" |
string | charm_jet_coverage.eta_name "Jet.Eta" |
string | charm_jet_coverage.flavor_name "Jet.Flavor" |
list | charm_jet_coverage.branchlist [pt_name, eta_name, flavor_name] |
tuple | charm_jet_coverage.df eat.UprootLoad([f"../{args.input}/*/out.root"], "Delphes", branches=branchlist) |
tuple | charm_jet_coverage.n_gen len(df) |
tuple | charm_jet_coverage.jet_pt np.concatenate(df[pt_name].to_numpy()) |
tuple | charm_jet_coverage.jet_eta np.concatenate(df[eta_name].to_numpy()) |
tuple | charm_jet_coverage.jet_flavor np.concatenate(df[flavor_name].to_numpy()) |
int | charm_jet_coverage.jet_theta 2 |
tuple | charm_jet_coverage.jet_p jet_pt*np.cosh(jet_eta) |
tuple | charm_jet_coverage.charm_flavor ( jet_flavor == 4 ) |
tuple | charm_jet_coverage.angles np.radians(np.linspace(0, 180, 90)) |
tuple | charm_jet_coverage.mom np.linspace(0,100,10) |
string | charm_jet_coverage.xlabel "Jet $p_T$ [GeV]" |
list | charm_jet_coverage.xvals jet_pt[charm_flavor] |
list | charm_jet_coverage.thetavals jet_theta[charm_flavor] |
list | charm_jet_coverage.list [0,np.pi/6,np.pi/3,np.pi/2,4*np.pi/6,5*np.pi/6,np.pi] |