9 unstable releases (3 breaking)

0.4.1 Sep 20, 2023
0.4.0 Sep 20, 2023
0.3.2 Jul 28, 2023
0.2.1 Jun 19, 2023
0.1.0 Feb 12, 2021

#404 in Science

Download history 38/week @ 2024-07-30 2/week @ 2024-08-27 3/week @ 2024-09-17 37/week @ 2024-09-24

123 downloads per month
Used in cres

GPL-3.0-or-later

56KB
1.5K SLoC

jetty

Implementations of common inclusive jet clustering algorithms.

In the current version, the following distance measures are implemented:

For state-of-the-art implementations of many more jet algorithms, have a look at the excellent fastjet library.

Examples

Cluster a number of partons into jets using the anti-kt algorithm with radius 0.4:

use jetty::{anti_kt_f, pseudojet_f, Cluster, ClusterHistory, ClusterStep};

let partons = vec![
    pseudojet_f(0.2626773221934335, -0.08809521946454194, -0.1141608706693822, -0.2195584284654444),
    pseudojet_f(2.21902459329915, -0.7529973704809976, -0.9658189214109036, -1.850475321845671)
];

// get all jets
let all_jets = partons.clone().cluster(anti_kt_f(0.4));
assert_eq!(all_jets.len(), 1);

// get all jets with at least 40 GeV
let jets_40gev = partons.clone().cluster_if(
   anti_kt_f(0.4),
   |jet| jet.pt2() > 40. * 40.
);
assert_eq!(jets_40gev.len(), 0);

// go through the cluster history step-by-step
let history = ClusterHistory::new(partons, anti_kt_f(0.4));
for step in history {
   match step {
      ClusterStep::Jet(j) => println!("Found a jet: {j:?}"),
      ClusterStep::Combine([_j1, _j2]) => println!("Combined two pseudojets"),
   }
}

License: GPL-3.0-or-later

Dependencies

~1.5MB
~29K SLoC