Official FastJet bindings to Python and Awkward Array.
Project description
fastjet
Official FastJet bindings to Python and Awkward Array.
Main features of Fastjet :
- Contains Vectorized as well as Non-Vectorized interface for Fastjet.
- Compiled against the complete Fastjet library in C++.
- Has Awkward Array and Vector as dependency.
- Provides the functionality to cluster multiple events at a time.
- Input data can be in any coordinate system.
Installation
The package can be installed from pypi using the following command :
pip install fastjet
Overview
Some of the basic functionalities of Fastjet and how to use them are listed below.
import fastjet
import awkward as ak
import vector
The input data can be either a awkward array or a list of Pseudojets.
Awkward Array
input_data = ak.Array(
[
[
{"px": 1.2, "py": 3.2, "pz": 5.4, "E": 2.5, "ex": 0.78},
{"px": 32.2, "py": 64.21, "pz": 543.34, "E": 24.12, "ex": 0.35},
{"px": 32.45, "py": 63.21, "pz": 543.14, "E": 24.56, "ex": 0.0},
],
[
{"px": 1.2, "py": 3.2, "pz": 5.4, "E": 2.5, "ex": 0.78},
{"px": 32.2, "py": 64.21, "pz": 543.34, "E": 24.12, "ex": 0.35},
{"px": 32.45, "py": 63.21, "pz": 543.14, "E": 24.56, "ex": 0.0},
],
],
with_name="Momentum4D",
)
List of PseudoJets
input_data = [fastjet.PseudoJet(1,1,1,1)
,fastjet.PseudoJet(1.2,1.2,1.2,1.2)
,fastjet.PseudoJet(3,3,3,3)
,fastjet.PseudoJet(-1,-12,2,1)
,fastjet.PseudoJet(-1,-12,2.1,0.9)]
Clustering
The classes (clustering and clustering specification) are the same for all the input types:
jetdef = fastjet.JetDefinition(fastjet.antikt_algorithm, 0.6)
cluster = fastjet.ClusterSequence(input_data, jetdef)
Outputs
The output can be extracted using function calls (output can be an Awkward Array or a list of PseudoJets depending on the input).
inclusive_jets = cluster.inclusive_jets()
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fastjet-3.3.4.0rc4.tar.gz
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