Elastic, inelastic, and path length fluctuations in jet tomography

By S. Wicks, W. Horowitz, M. Djordjevic, M. Gyulassy. 2005

332 citations recorded by the source corpus.

Abstract Jet quenching theory using perturbative QCD is extended to include (1) elastic as well as (2) inelastic parton energy losses and (3) jet path length fluctuations. The extended theory is applied to non-photonic single electron production in central Au + Au collisions at s = 200 A GeV . The three effects combine to significantly reduce the discrepancy between theory and current data without violating the global entropy bounds from multiplicity and elliptic flow data. We also check for consistency with the pion suppression data out to 20 GeV. Fluctuations of the jet path lengths in realistic geometry and the difference between the widths of fluctuations of elastic and inelastic energy loss are essential to take into account.

Subfields: Nuclear and High Energy Physics

View Paper: https://www.semanticscholar.org/paper/81dc738a7e071d49993ae45b134e809074ca074d

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In Nuclear and High Energy Physics

Citations in the corpus

A hybrid strong/weak coupling approach to jet quenching (2014, methodology): “However, it has been pointed out [17] that, while subdominant, these processes play an”
Heavy-flavour and quarkonium production in the LHC era: from proton–proton to heavy-ion collisions (2015, methodology): “Note that the static DGLV formalism was also used in the WHDG model [459, 519], as well as for the quark energy loss calculation by Vitev et al.”
Gauge/String Duality, Hot QCD and Heavy Ion Collisions (2011, background): “However, this analysis based upon the limits (2.27) may not be under quantitative control when applied to RHIC data, since at RHIC the partons in question have energies of at most a few tens of GeV, meaning that one can question whether all the scales separated by in (2.27) are in fact well-separate”
Extraction of heavy-flavor transport coefficients in QCD matter (2018, methodology): “For collisional energy loss, the full fluctuation spectrum is approximated by a Gaussian [95, 152].”