From 292cdd9dfc9f670cebe7c64eb55785a770c9ac8d Mon Sep 17 00:00:00 2001 From: hegner Date: Wed, 8 May 2024 11:16:25 +0200 Subject: [PATCH] Fix typos in README --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index c8cff34..b5f0e3d 100644 --- a/README.md +++ b/README.md @@ -10,7 +10,7 @@ Algorithms used are based on the C++ FastJet package (, [hep-ph/0512210](https://arxiv.org/abs/hep-ph/0512210), [arXiv:1111.6097](https://arxiv.org/abs/1111.6097)), reimplemented natively in Julia. -The algorithms include anti-${k}_\text{T}$, Cambridge/Achen and inclusive $k_\text{T}$. +The algorithms include anti-${k}_\text{T}$, Cambridge/Aachen and inclusive $k_\text{T}$. ### Interface @@ -26,7 +26,7 @@ cs = jet_reconstruct(particles::Vector{T}; p = -1, R = 1.0, recombine = +, strat - The `PseudoJet` type from this package, or a 4-vector from `LorentzVectorHEP` are suitable (and have the appropriate definitions) - `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: - `-1` gives anti-$`{k}_\text{T}`$ clustering (default) - - `0` gives Cambridge/Achen + - `0` gives Cambridge/Aachen - `1` gives inclusive $k_\text{T}$ - `R` - the cone size parameter; no particles more geometrically distance than `R` will be merged (default 1.0) - `recombine` - the function used to merge two pseudojets (default is a simple 4-vector addition of $`(E, \mathbf{p})`$)