A Cone Jet-Finding Algorithm for Heavy-Ion Collisions at LHC Energies

Physics – Nuclear Physics – Nuclear Experiment

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

13 pages, 7 figures

Scientific paper

10.1088/0954-3899/34/2/008

Standard jet finding techniques used in elementary particle collisions have not been successful in the high track density of heavy-ion collisions. This paper describes a modified cone-type jet finding algorithm developed for the complex environment of heavy-ion collisions. The primary modification to the algorithm is the evaluation and subtraction of the large background energy, arising from uncorrelated soft hadrons, in each collision. A detailed analysis of the background energy and its event-by-event fluctuations has been performed on simulated data, and a method developed to estimate the background energy inside the jet cone from the measured energy outside the cone on an event-by-event basis. The algorithm has been tested using Monte-Carlo simulations of Pb+Pb collisions at $\sqrt{s}=5.5$ TeV for the ALICE detector at the LHC. The algorithm can reconstruct jets with a transverse energy of 50 GeV and above with an energy resolution of $\sim30%$.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

A Cone Jet-Finding Algorithm for Heavy-Ion Collisions at LHC Energies does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with A Cone Jet-Finding Algorithm for Heavy-Ion Collisions at LHC Energies, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A Cone Jet-Finding Algorithm for Heavy-Ion Collisions at LHC Energies will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-410962

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.