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hegner
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Fix typos in README (#44)
* Fix typos in README * fix more typos
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README.md

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@@ -10,7 +10,7 @@ Algorithms used are based on the C++ FastJet package (<https://fastjet.fr>,
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[hep-ph/0512210](https://arxiv.org/abs/hep-ph/0512210),
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[arXiv:1111.6097](https://arxiv.org/abs/1111.6097)), reimplemented natively in Julia.
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The algorithms include anti-${k}_\text{T}$, Cambridge/Achen and inclusive $k_\text{T}$.
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The algorithms include anti-${k}_\text{T}$, Cambridge/Aachen and inclusive $k_\text{T}$.
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### Interface
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@@ -26,7 +26,7 @@ cs = jet_reconstruct(particles::Vector{T}; p = -1, R = 1.0, recombine = +, strat
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- The `PseudoJet` type from this package, or a 4-vector from `LorentzVectorHEP` are suitable (and have the appropriate definitions)
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- `p` - the transverse momentum power used in the $d_{ij}$ metric for deciding on closest jets, as $k^{2p}_\text{T}$. Different values of $p$ then give different reconstruction algorithms:
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- `-1` gives anti-$`{k}_\text{T}`$ clustering (default)
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- `0` gives Cambridge/Achen
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- `0` gives Cambridge/Aachen
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- `1` gives inclusive $k_\text{T}$
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- `R` - the cone size parameter; no particles more geometrically distance than `R` will be merged (default 1.0)
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- `recombine` - the function used to merge two pseudojets (default is a simple 4-vector addition of $`(E, \mathbf{p})`$)

examples/jetreco.jl

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@@ -192,7 +192,7 @@ parse_command_line(args) = begin
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default = 0.4
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"--power"
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help = "Distance measure momentum power (-1 - antikt; 0 - Cambridge/Achen; 1 - inclusive k_t)"
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help = "Distance measure momentum power (-1 - antikt; 0 - Cambridge/Aachen; 1 - inclusive k_t)"
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arg_type = Int
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default = -1
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action = :store_true
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"--dump"
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help = "Write list of recontructed jets to a JSON formatted file"
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help = "Write list of reconstructed jets to a JSON formatted file"
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"--info"
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help = "Print info level log messages"

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