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Related papers: On Normalization of Strongly Intensive Quantities

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Motivated by forthcoming experiments at RHIC and LHC, we study event-by-event fluctuations in ultrarelativistic heavy-ion collisions in participant nucleon as well as thermal models. The calculated physical observables, including…

Nuclear Theory · Physics 2008-11-26 G. Baym , H. Heiselberg

From the sampling of data to the initialisation of parameters, randomness is ubiquitous in modern Machine Learning practice. Understanding the statistical fluctuations engendered by the different sources of randomness in prediction is…

Machine Learning · Statistics 2022-10-03 Bruno Loureiro , Cédric Gerbelot , Maria Refinetti , Gabriele Sicuro , Florent Krzakala

The event-by-event analysis of heavy ions collisions is becoming possible with advent of large acceptance detectors: it can provide dynamical information which cannot be obtained from inclusive spectra. We identify some observables which…

High Energy Physics - Phenomenology · Physics 2009-10-30 E. V. Shuryak

We discuss the information that can be obtained from an analysis of fluctuations in heavy ion collisions within the context of the statistical model of particle production. We then examine the recently published experimental data on ratio…

Nuclear Theory · Physics 2012-02-22 Giorgio Torrieri , Rene Bellwied , Christina Markert , Gary Westfall

Deep neural networks, when optimized with sufficient data, provide accurate representations of high-dimensional functions; in contrast, function approximation techniques that have predominated in scientific computing do not scale well with…

Data Analysis, Statistics and Probability · Physics 2021-03-15 Grant M. Rotskoff , Andrew R. Mitchell , Eric Vanden-Eijnden

Measurements of multiplicity fluctuations of identified hadrons produced in inelastic p+p interactions at 31, 40, 80, and 158~\GeVc beam momentum are presented. Three different measures of multiplicity fluctuations are used: the scaled…

Nuclear Experiment · Physics 2021-06-14 SHINE Collaboration , A. Acharya , H. Adhikary , A. Aduszkiewicz , K. K. Allison , E. V. Andronov , T. Antićić , V. Babkin , M. Baszczyk , S. Bhosale , A. Blondel , M. Bogomilov , A. Brandin , A. Bravar , W. Bryliński , J. Brzychczyk , M. Buryakov , O. Busygina , A. Bzdak , H. Cherif , M. Ćirković , M. Csanad , J. Cybowska , T. Czopowicz , A. Damyanova , N. Davis , M. Deliyergiyev , M. Deveaux , A. Dmitriev , W. Dominik , P. Dorosz , J. Dumarchez , R. Engel , G. A. Feofilov , L. Fields , Z. Fodor , A. Garibov , M. Gaździcki , O. Golosov , V. Golovatyuk , M. Golubeva , K. Grebieszkow , F. Guber , A. Haesler , S. N. Igolkin , S. Ilieva , A. Ivashkin , S. R. Johnson , K. Kadija , N. Kargin , E. Kashirin , M. Kiełbowicz , V. A. Kireyeu , V. Klochkov , V. I. Kolesnikov , D. Kolev , A. Korzenev , V. N. Kovalenko , S. Kowalski , M. Koziel , A. Krasnoperov , W. Kucewicz , M. Kuich , A. Kurepin , D. Larsen , A. László , T. V. Lazareva , M. Lewicki , K. Łojek , V. V. Lyubushkin , M. Maćkowiak-Pawłowska , Z. Majka , B. Maksiak , A. I. Malakhov , A. Marcinek , A. D. Marino , K. Marton , H. -J. Mathes , T. Matulewicz , V. Matveev , G. L. Melkumov , A. O. Merzlaya , B. Messerly , Ł. Mik , S. Morozov , Y. Nagai , M. Naskręt , V. Ozvenchuk , V. Paolone , O. Petukhov , I. Pidhurskyi , R. Płaneta , P. Podlaski , B. A. Popov , B. Porfy , M. Posiadała-Zezula , D. S. Prokhorova , D. Pszczel , S. Puławski , J. Puzović , M. Ravonel , R. Renfordt , D. Röhrich , E. Rondio , M. Roth , B. T. Rumberger , M. Rumyantsev , A. Rustamov , M. Rybczynski , A. Rybicki , S. Sadhu , A. Sadovsky , K. Schmidt , I. Selyuzhenkov , A. Yu. Seryakov , P. Seyboth , M. Słodkowski , P. Staszel , G. Stefanek , J. Stepaniak , M. Strikhanov , H. Ströbele , T. Šuša , A. Taranenko , A. Tefelska , D. Tefelski , V. Tereshchenko , A. Toia , R. Tsenov , L. Turko , R. Ulrich , M. Unger , D. Uzhva , F. F. Valiev , D. Veberič , V. V. Vechernin , A. Wickremasinghe , K. Wojcik , O. Wyszyński , A. Zaitsev , E. D. Zimmerman , R. Zwaska

Normalizing flows are objects used for modeling complicated probability density functions, and have attracted considerable interest in recent years. Many flexible families of normalizing flows have been developed. However, the focus to date…

Methodology · Statistics 2023-01-18 Tin Lok James Ng , Andrew Zammit-Mangion

A great deal of recent data on event-by-event fluctuation and correlation measurements has been released by several experiments at the SPS and RHIC. Recent results on charge fluctuations, balance functions in pseudorapidity, and average…

Nuclear Experiment · Physics 2009-11-10 Jeffery T. Mitchell

Recently, Josserand et al. proposed a stochastic nonlinear Schroedinger model for finite-time singularity-mediated turbulence [Phys. Rev. Fluids 5, 054607 (2020)]. Here, we use instanton calculus to quantify the effect of extreme…

Fluid Dynamics · Physics 2024-08-20 Sumeja Burekovic , Tobias Schaefer , Rainer Grauer

A brief overview of the recent developments concerning theoretical description of event-by-event fluctuations in heavy-ion collisions is presented, with an emphasis on the role of exact conservation laws and calculations based on…

Nuclear Theory · Physics 2021-10-07 Volodymyr Vovchenko

Temporal point processes are the dominant paradigm for modeling sequences of events happening at irregular intervals. The standard way of learning in such models is by estimating the conditional intensity function. However, parameterizing…

Machine Learning · Computer Science 2020-01-24 Oleksandr Shchur , Marin Biloš , Stephan Günnemann

We argue that specific fluctuations observed in high-energy nuclear collisions can be attributed to intrinsic fluctuations of temperature of the hadronizing system formed in such processes and therefore can be described by the same…

High Energy Physics - Phenomenology · Physics 2011-11-28 Grzegorz Wilk , Zbigniew Wlodarczyk

In ultra-relativistic heavy-ion collisions a strongly interacting complex system of quarks and gluons is formed. The nature of the system so created and the mechanism of multi-particle production in these collisions may be revealed by…

High Energy Physics - Phenomenology · Physics 2023-10-18 Sheetal Sharma , Salman Khurshid Malik , Zarina Banoo , Ramni Gupta

Much of uncertainty quantification to date has focused on determining the effect of variables modeled probabilistically, and with a known distribution, on some physical or engineering system. We develop methods to obtain information on the…

Numerical Analysis · Mathematics 2015-03-19 Kamaljit Chowdhary , Paul Dupuis

Event-scale analysis techniques using correlation and fluctuation measures are applied to heavy-ion collision data with the goal of discovering, characterizing, and understanding deconfined quark matter. In service of these goals…

Nuclear Experiment · Physics 2007-05-23 J. G. Reid

Explosive percolation in the Achlioptas process, which has attracted much research attention, is known to exhibit a rich variety of critical phenomena that are anomalous from the perspective of continuous phase transitions. Hereby, we show…

Statistical Mechanics · Physics 2023-04-06 Ming Li , Junfeng Wang , Youjin Deng

A study of Event by Event analysis of maximum Pseudo-rapidity Gap Fluctuation in heavy-ion collisions in terms of the scaled variance {\omega} has been carried out for relativistic AA collisions with multiplicity cut (N >10) using nuclear…

Nuclear Experiment · Physics 2019-07-24 Swarnapratim Bhattacharyya , Maria Haiduc , Alina Tania Neagu , Elena Firu

Experimental data are presented on particle correlations and fluctuations in various high-energy multiparticle collisions, with special emphasis on evidence for scaling-law evolution in small phase-space domains. The notions of…

High Energy Physics - Phenomenology · Physics 2009-10-28 E. A. De Wolf , I. M. Dremin , W. Kittel

We show that fluctuating proton positions in the colliding nuclei generate, on the event-by-event basis, very strong magnetic and electric fields in the direction both parallel and perpendicular to the reaction plane. The magnitude of E and…

High Energy Physics - Phenomenology · Physics 2015-06-03 Adam Bzdak , Vladimir Skokov

To reconstruct the impact parameter distributions from the selected events sample or centrality, which is defined by two-observables, at intermediate energy heavy ion collisions, we extend the approach proposed by Das \textit{et al.} [Phys.…

Nuclear Theory · Physics 2023-09-06 Xiang Chen , Li Li , Ying Cui , Junping Yang , Zhuxia Li , Yingxun Zhang