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The methods currently used to measure collective flow in nucleus--nucleus collisions assume that the only azimuthal correlations between particles are those arising from their correlation with the reaction plane. However, quantum HBT…

Nuclear Theory · Physics 2009-10-31 Mai Dinh , Nicolas Borghini , Jean-Yves Ollitrault

Correlations of symmetry planes are important observables used to quantify anisotropic flow phenomenon and constrain independently the properties of strongly interacting nuclear matter produced in the collisions of heavy ions at the highest…

Nuclear Experiment · Physics 2020-08-19 Ante Bilandzic , Marcel Lesch , Seyed Farid Taghavi

We report on the measurement of various flow harmonics, $v_n$, with multi-particle cumulants, and present the results from a study of the inter-correlation among different order symmetry planes $\Psi_n$ via multi-particle mixed harmonic…

Nuclear Experiment · Physics 2015-06-11 Ante Bilandzic

Event-by-event fluctuations in the amplitudes of flow harmonics offer a novel approach to probing the initial-state characteristics in heavy-ion collisions. In this study, we conduct a systematic investigation of correlations among various…

Nuclear Theory · Physics 2026-03-03 Zaining Wang , Jinhui Chen , Jiangyong Jia , Yu-Gang Ma , Chunjian Zhang

Recently, a complex network based method of Visibility Graph has been applied to confirm the scale-freeness and presence of fractal properties in the process of multiplicity fluctuation. Analysis of data obtained from experiments on…

Data Analysis, Statistics and Probability · Physics 2018-02-13 Susmita Bhaduri , Dr. Dipak Ghosh

Recently, there has been a surge of interest in incorporating neural networks into particle filters, e.g. differentiable particle filters, to perform joint sequential state estimation and model learning for non-linear non-Gaussian…

Machine Learning · Computer Science 2025-01-07 Xiongjie Chen , Yunpeng Li

Recent highlights from the anisotropic flow and the azimuthal correlation measurements in a heavy-ion collisions at the LHC are presented. Various flow harmonics measured for the charged and identified particles versus transverse momentum,…

Nuclear Experiment · Physics 2015-06-12 Ilya Selyuzhenkov

Complex systems are often described with competing models. Such divergence of interpretation on the system may stem from model fidelity, mathematical simplicity, and more generally, our limited knowledge of the underlying processes.…

Numerical Analysis · Mathematics 2017-07-21 Lun Yang , Akil Narayan , Peng Wang

We derive the flow-background formula for jet-correlation analysis with high pT trigger particles in any azimuth window relative to reaction plane, extending the mathematic framework of previous study in [J. Bielcikova, et al., Phys. Rev. C…

Nuclear Experiment · Physics 2009-08-05 Joshua Konzer , Fuqiang Wang

We present a new flow framework for separation logic reasoning about programs that manipulate general graphs. The framework overcomes problems in earlier developments: it is based on standard fixed point theory, guarantees least flows,…

Programming Languages · Computer Science 2023-04-12 Roland Meyer , Thomas Wies , Sebastian Wolff

The task of detecting anomalous data patterns is as important in practical applications as challenging. In the context of spatial data, recognition of unexpected trajectories brings additional difficulties, such as high dimensionality and…

We summarize some recent ideas relating to anisotropic particle production in high-energy collisions. Anisotropic gluon distributions lead to anisotropies of the single-particle azimuthal distribution and hence to disconnected contributions…

High Energy Physics - Phenomenology · Physics 2015-03-16 Adrian Dumitru , Andre V. Giannini , Vladimir Skokov

Traditional discriminative computer vision relies predominantly on static projections, mapping input features to outputs in a single computational step. Although efficient, this paradigm lacks the iterative refinement and robustness…

Computer Vision and Pattern Recognition · Computer Science 2026-03-17 Om Govind Jha , Manoj Bamniya , Ayon Borthakur

Anisotropic flow measurements play a crucial role in understanding the physics and bulk properties of the system created in heavy ion collisions. In this talk I briefly review the most important results obtained so far, recent developments…

Nuclear Experiment · Physics 2008-11-26 Sergei A. Voloshin

The strategy and techniques for analyzing anisotropic flow (directed, elliptic, etc.) in relativistic nuclear collisions are presented. The emphasis is on the use of the Fourier expansion of azimuthal distributions. We present formulae…

Nuclear Experiment · Physics 2016-09-08 A. M. Poskanzer , S. A. Voloshin

Differentiable particle filters provide a flexible mechanism to adaptively train dynamic and measurement models by learning from observed data. However, most existing differentiable particle filters are within the bootstrap particle…

Artificial Intelligence · Computer Science 2021-11-11 Xiongjie Chen , Hao Wen , Yunpeng Li

We argue that the traditional event-plane method, which is still widely used to analyze anisotropic flow in ultrarelativistic heavy-ion collisions, should be abandoned because flow fluctuations introduce an uncontrolled bias in the…

Nuclear Experiment · Physics 2013-05-01 Matthew Luzum , Jean-Yves Ollitrault

We present a complete set of multiparticle correlation observables for ultrarelativistic heavy-ion collisions. These include moments of the distribution of the anisotropic flow in a single harmonic, and also mixed moments, which contain the…

Nuclear Theory · Physics 2015-01-26 Rajeev S. Bhalerao , Jean-Yves Ollitrault , Subrata Pal

Anisotropic azimuthal correlations are used to probe the properties and the evolution of the system created in heavy-ion collisions. Two-particle azimuthal correlations were used in the searches of $p_{\rm T}$ dependent fluctuations of flow…

Nuclear Experiment · Physics 2015-03-26 You Zhou

Generating high-quality time-series data is challenging because real-world signals often exhibit multimodal patterns and multiscale dynamics, including oscillations and high-frequency variations. Flow Matching (FM) offers an efficient…

Machine Learning · Computer Science 2026-05-29 Junru Zhang , Lang Feng , Jinbo Wang , Xu Guo , Yucheng Wang , Han Yu , Min Wu , Yabo Dong , Duanqing Xu