julia> using LHEF
julia> events = parse_lhe("./test/ft.lhe.gz"); # lazy generator
julia> event = first(events)
Event header: (nparticles = 6, pid = 0, weight = 1.1829e-5, scale = 255.6536, aqed = 0.007546771, aqcd = 0.1112889)
Event particles:
idx| id| status| mother1| mother2| color1| color2| px| py| pz| e| m| lifetime| spin
0, 21, -1, 0, 0, 502, 503, 0.0, 0.0, 1070.9531583, 1070.9531583, 0.0, 0.0, -1.0
1, 21, -1, 0, 0, 501, 504, 0.0, 0.0, -774.76002582, 774.76002582, 0.0, 0.0, 1.0
2, 6, 1, 1, 2, 501, 0, 113.37785248, 114.16185862, -41.887649846, 239.93966451, 173.0, 0.0, 1.0
3, 6, 1, 1, 2, 502, 0, 34.597641987, -272.46642769, -245.76811815, 407.14360973, 173.0, 0.0, 1.0
4, -6, 1, 1, 2, 0, 503, 15.534573574, 182.89123966, 822.7134095, 860.5096645, 173.0, 0.0, -1.0
5, -6, 1, 1, 2, 0, 504, -163.51006804, -24.586670591, -238.86450899, 338.12024543, 173.0, 0.0, -1.0If you need to compute physical quantities such as mass, consider using LorentzVectorHEP.jl:
julia> using LorentzVectorHEP
julia> lhe_v4(p) = LorentzVector(p.e, p.px, p.py, p.pz)
julia> test_particle = event.particles[1]
julia> mass(lhe_v4(test_particle)) == test_particle.m # self-consistency testTo facilitate columnar manipulations, there is an additional function which inserts consecutive event numbers into each particle and concatenates particles across events.
julia> particles = flatparticles("./test/ft.lhe.gz");
julia> keys(particles[100])
(:eventnum, :idx, :id, :status, :mother1, :mother2, :color1, :color2, :px, :py, :pz, :e, :m, :lifetime, :spin)
julia> values(particles[100])
(1, 0, 21, -1, 0, 0, 502, 503, 0.0, 0.0, 1070.9531583, 1070.9531583, 0.0, 0.0, -1.0)
julia> using DataFrames
julia> DataFrame(particles)
270×15 DataFrame
Row │ eventnum idx id status mother1 mother2 color1 color2 px py ⋯
│ Int64 Int64 Int32 Int8 Int16 Int16 Int32 Int32 Float64 Float64 ⋯
─────┼───────────────────────────────────────────────────────────────────────────────────────────
1 │ 1 0 21 -1 0 0 502 503 0.0 0.0 ⋯
2 │ 1 1 21 -1 0 0 501 504 0.0 0.0
3 │ 1 2 6 1 1 2 501 0 113.378 114.162
4 │ 1 3 6 1 1 2 502 0 34.5976 -272.466
5 │ 1 4 -6 1 1 2 0 503 15.5346 182.891 ⋯
⋮ │ ⋮ ⋮ ⋮ ⋮ ⋮ ⋮ ⋮ ⋮ ⋮ ⋮ ⋱
267 │ 45 2 6 1 1 2 501 0 35.3736 -60.1114
268 │ 45 3 6 1 1 2 502 0 -406.333 127.811
269 │ 45 4 -6 1 1 2 0 503 372.086 -99.7773
270 │ 45 5 -6 1 1 2 0 504 -1.12621 32.0774 ⋯
5 columns and 261 rows omitted