Correction methods for finite-acceptance effects in two-particle correlation analyses
Saehanseul Oh, Tim Schuster, Andreas Morsch, Constantin Loizides

TL;DR
This paper examines the limitations of the mixed-event technique in correcting finite-acceptance effects in two-particle correlation analyses and introduces new correction methods tailored for specific signal assumptions, validated through simulations.
Contribution
The paper proposes novel finite-acceptance correction methods for two-particle correlations, improving accuracy over the traditional mixed-event technique under certain conditions.
Findings
Significant differences observed between mixed-event and new methods at large pseudorapidity differences.
New methods perform better for asymmetric particle distributions like in proton-nucleus collisions.
Validation through Monte Carlo simulations confirms the applicability of the proposed corrections.
Abstract
Two-particle angular correlations have been widely used as a tool to explore particle production mechanisms in heavy-ion collisions. The mixed-event technique is generally used as a standard method to correct for finite-acceptance effects. We demonstrate that event mixing only provides an approximate acceptance correction, and propose new methods for finite-acceptance corrections. Starting from discussions about 2-dimensional correction procedures, new methods are derived for specific assumptions on the properties of the signal, such as uniform signal distribution or -function-like trigger particle distribution, and suitable for two-particle correlation analyses from particles at mid-rapidity and jet-hadron or high -triggered hadron-hadron correlations. Per-trigger associated particle yields from the mixed-event method and the new methods are compared through Monte…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
