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Reducing uncertainty in relativistic heavy ion collision centrality | | R. L. Ray
; M. Daugherity
; | | Date: |
20 Feb 2007 | | Abstract: | Uncertainties in heavy ion collision centrality measures relevant to the Relativistic Heavy Ion Collider (RHIC) program are estimated using a Monte Carlo Glauber collision model where particle production is generated via `soft + hard’ two-component phenomenology. Collision centrality is characterized experimentally by the charged particle multiplicity frequency distribution and theoretically by the overlap geometry of two colliding, spherical nuclei. The principle sources of uncertainty in centrality determination include those associated with the input parameters to the Monte Carlo model and errors in the experimental minimum-bias multiplicity distributions. The latter include backgrounds and uncertainties in the efficiencies of the trigger, collision vertex finding, and particle trajectory reconstruction. It is shown that simultaneous analysis of the minimum-bias multiplicity frequency distributions and trigger detector output for both heavy ion and proton-proton collisions using a power-law representation of the data enables the systematic errors in centrality to be reduced compared to previous published analyses, thus permitting access to important, very peripheral collision data from RHIC. Simulation results are presented for minimum-bias Au-Au collisions at sqrt{s_{NN}} = 20, 62, 130 and 200 GeV and Cu-Cu collisions at sqrt{s_{NN}} = 62 and 200 GeV. | | Source: | arXiv, nucl-ex/0702039 | | Services: | Forum | Review | PDF | Favorites | |
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