Reconstruction of moments of particle distributions with Identity Method at MPD
Igor Altsybeev, Vitalii Petrov

TL;DR
This paper evaluates the Identity Method's effectiveness in accurately reconstructing moments of particle multiplicity distributions in heavy-ion collision simulations, addressing detector misidentification issues at the MPD experiment.
Contribution
It demonstrates the application and performance of the Identity Method for extracting moments and correlation coefficients in simulated MPD experiment conditions.
Findings
Successful reconstruction of moments within a single kinematic window
Effective extraction of forward-backward pseudorapidity correlation coefficients
Validation of the Identity Method's performance in simulated heavy-ion collision data
Abstract
Precise determination of the moments of multiplicity distributions of identified particles could be challenging due to the misidentification in detectors. The so-called Identity Method allows one to solve this problem. In this contribution, performance of the Identity Method was tested on the A-A events simulated in the conditions of the MPD experiment at NICA. With this method, moments within a single kinematic window as well as coefficients of forward-backward pseudorapidity correlations are extracted.
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.
