This is a shallow interface for spectraljet, which is itself a python package. Spectraljet is not a fast algorithm to start with, and python is not a fast language, so there is some irony in this being a fastjet plugin. None the less, the algorithm has some interesting behaviour, that we wish to test on more general data. The most convenient way to do this is a fastjet plugin.
In order to use this package, you will need spectraljet, So start with the installation instructions there. Once that is working, check it is available as a module from any other location. If you should get;
$ python3 -m spectraljet.interface
Error, no arguments foundIf instead you get some variation of a ModuleNotFoundError,
try adding the directory you installed
spectraljet to your $PYTHONPATH;
export PYTHONPATH="${PYTHONPATH}:/path/to/folder/spectraljet/"There are probably more elegant ways to solve that, but this works.
You likely already have fastjet installed, but if you don't, there are instructions at http://fastjet.fr/quickstart.html.
Now, from inside this repository, doing;
$ makeshould be sufficient.
To check everything worked try;
$ make example
$ example < example_data.dat
# read an event with 354 particles
Set up Spectral plugin
#--------------------------------------------------------------------------
# FastJet release 3.3.4
# M. Cacciari, G.P. Salam and G. Soyez
# A software package for jet finding and analysis at colliders
# http://fastjet.fr
#
# Please cite EPJC72(2012)1896 [arXiv:1111.6097] if you use this package
# for scientific work and optionally PLB641(2006)57 [hep-ph/0512210].
#
# FastJet is provided without warranty under the GNU GPL v2 or higher.
# It uses T. Chan's closest pair algorithm, S. Fortune's Voronoi code
# and 3rd party plugin jet algorithms. See COPYING file for details.
#--------------------------------------------------------------------------
Getting kinematics
Trying a python call
Ran SpectralLong
Printing inclusive jets with pt > 5 GeV
---------------------------------------
jet # rapidity phi pt m e n constituents
0 -0.867 2.905 983.280 36.457 1377.658 34
1 0.221 6.030 898.497 45.838 921.699 28
2 -2.818 6.092 67.431 359.570 3072.139 38
3 0.331 0.570 16.511 8.539 19.615 23
4 -1.239 0.769 8.323 5.915 19.099 14
5 -2.469 1.034 7.988 3.233 51.230 9
6 -1.637 4.019 7.600 3.989 22.902 7
7 -4.774 4.081 5.720 6.655 519.282 16
8 -4.358 1.467 5.694 4.408 281.330 12
Hopefully that's what you got?
If not, feel free to get in touch/send me a message.