Unfolding of event-by-event net-charge distributions in heavy-ion collision
arXiv:1211.2074 · doi:10.1088/0954-3899/40/5/055103
Abstract
We discuss a method to obtain the true event-by-event net-charge multiplicity distributions from a corresponding measured distribution which is subjected to detector effects such as finite particle counting efficiency. The approach is based on the Bayes method for unfolding of distributions. We are able to faithfully unfold back the measured distributions to match with their corresponding true distributions obtained for a widely varying underlying particle production mechanism, beam energy and collision centrality. Particularly the mean, variance, skewness, kurtosis, their products and ratios of net-charge distributions from the event generators are shown to be successfully unfolded from the measured distributions constructed to mimic a real experimental distribution. We demonstrate the necessity to account for detector effects before associating the higher moments of net-charge distributions with physical quantities or phenomena. The advantage of this approach being that one need not construct new observable to cancel out detector effects which loose their ability to be connected to physical quantities calculable in standard theories.
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- Rapidity window dependences of higher order cumulants and diffusion master equation
- A general procedure for detector-response correction of higher order cumulants
- Higher moments of net-proton multiplicity distributions in a heavy-ion event pile-up scenario
- On the effect of secondary protons on baryon and proton number cumulants in event-by-event analysis
- Estimation of Stopped Protons at Energies Relevant for a Beam Energy Scan at the BNL Relativistic Heavy-Ion Collider
- Feasibility studies of conserved charge fluctuations in Au-Au collisions with CBM