Utilizing the maximum likelihood estimator for flow analysis (2023)
- Authors:
- USP affiliated authors: QIAN, WEILIANG - EEL ; HAMA, YOGIRO - IF
- Unidades: EEL; IF
- DOI: 10.1103/PhysRevC.108.024901
- Subjects: HIDRODINÂMICA; FÍSICA NUCLEAR; FÍSICA
- Agências de fomento:
- Language: Inglês
- Abstract: We explore the possibility of evaluating flow harmonics by employing the maximum likelihood estimator (MLE). For a given finite multiplicity, the MLE simultaneously furnishes estimations for all the parameters of the underlying distribution function while efficiently suppressing the variance of measures. Also, the method provides a means to assess a specific class of mixed harmonics, which is not straightforwardly feasible by the approaches primarily based on particle correlations. The results are analyzed using the Wald, likelihood ratio, and score tests of hypotheses. Besides, the resultant flow harmonics obtained using MLE are compared with those derived using particle correlations and event plane methods. The dependencies of extracted flow harmonics on the multiplicity of individual events and the total number of events are analyzed. It is shown that the proposed approach works efficiently to deal with the deficiency in detector acceptability. Moreover, we elaborate on a fictitious scenario where the event plane is not a well-defined quantity in the distribution function. For the latter case, the MLE is shown to largely perform better than the two-particle correlation estimator. In this regard, one concludes that the MLE furnishes a meaningful alternative to the existing approaches for flow analysis.
- Imprenta:
- Source:
- Título: Physical review C
- ISSN: 2469-9985
- Volume/Número/Paginação/Ano: v.108, n.2, art.024901, p.1-12, 2023
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
YE, Chong et al. Utilizing the maximum likelihood estimator for flow analysis. Physical review C, v. 108, n. 2, p. 1-12, 2023Tradução . . Disponível em: https://journals.aps.org/prc/abstract/10.1103/PhysRevC.108.024901. Acesso em: 14 fev. 2026. -
APA
Ye, C., Qian, W. -L., Yue, R. -H., Hama, Y., & Kodama, T. (2023). Utilizing the maximum likelihood estimator for flow analysis. Physical review C, 108( 2), 1-12. doi:10.1103/PhysRevC.108.024901 -
NLM
Ye C, Qian W-L, Yue R-H, Hama Y, Kodama T. Utilizing the maximum likelihood estimator for flow analysis [Internet]. Physical review C. 2023 ;108( 2): 1-12.[citado 2026 fev. 14 ] Available from: https://journals.aps.org/prc/abstract/10.1103/PhysRevC.108.024901 -
Vancouver
Ye C, Qian W-L, Yue R-H, Hama Y, Kodama T. Utilizing the maximum likelihood estimator for flow analysis [Internet]. Physical review C. 2023 ;108( 2): 1-12.[citado 2026 fev. 14 ] Available from: https://journals.aps.org/prc/abstract/10.1103/PhysRevC.108.024901 - A mesoscopic approach on stability and phase transition between different traffic flow states
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Informações sobre o DOI: 10.1103/PhysRevC.108.024901 (Fonte: oaDOI API)
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