Using a neural network trained on simulated jets, the ALICE collaboration measures jet spectra and nuclear modification factors in Pb-Pb collisions down to 40 GeV/c and up to jet radius 0.6.
Sjostrand et al.: PYTHIA 6.4 – Physics and Manual, JHEP 0605 (2006) 026
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Machine Learning based jet momentum reconstruction in Pb-Pb collisions measured with the ALICE detector
Using a neural network trained on simulated jets, the ALICE collaboration measures jet spectra and nuclear modification factors in Pb-Pb collisions down to 40 GeV/c and up to jet radius 0.6.