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Data-driven subtraction of anisotropic flows in jet-like correlation studies in heavy-ion collisions
- Source :
- Phys. Rev. C 100, 014903 (2019)
- Publication Year :
- 2019
-
Abstract
- Measurements of two-particle azimuthal angle correlations are a useful tool to study the distribution of jet energy loss, however, they are complicated because of the significant anisotropic flow background. We devise a data-driven method for subtracting anisotropic flow background in jet-like correlation analysis. We first require a large recoil momentum ($P_x$) within a given pseudo-rapidity ($\eta$) range from a high-transverse momentum particle to enhance in-acceptance population of away-side jet-like correlations. Then we take the difference of two-particle correlations in the close-region and far-region with respect to the $\eta$ region of $P_x$ to subtract the anisotropic flow background. We use a toy model which contains only anisotropic flow and PYTHIA8 which have jets to demonstrate the validity of our data-driven method. The results indicate that the data-driven method can subtract anisotropic flow effectively.<br />Comment: 7 pages, 11 figures
- Subjects :
- Nuclear Experiment
Subjects
Details
- Database :
- arXiv
- Journal :
- Phys. Rev. C 100, 014903 (2019)
- Publication Type :
- Report
- Accession number :
- edsarx.1902.06027
- Document Type :
- Working Paper
- Full Text :
- https://doi.org/10.1103/PhysRevC.100.014903