412 results on '"High multiplicity"'
Search Results
2. Scheduling High Multiplicity Jobs on Parallel Multi-Purpose Machines with Setup Times and Machine Available Times.
- Author
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Jing, Caixia, Huang, Wanzhen, Zhang, Lei, and Zhang, Heng
- Subjects
SETUP time ,MULTIPLICITY (Mathematics) ,NP-hard problems ,HEURISTIC algorithms ,INTEGER programming ,ECONOMIC lot size - Abstract
In this paper, we consider the scheduling of high multiplicity jobs on parallel multi-purpose machines with setup times and machine available times, with the objective of minimizing makespan. High multiplicity means that jobs are partitioned into several groups and in each group all jobs are identical. Whenever there is a switch from processing a job of one group to a job of another group, a setup time is needed. Multi-purpose machine implies that each job can only be processed by a specific subset of all the machines, called processing set. A mixed integer programming is formulated for this NP-hard problem. A heuristic is proposed to solve the problem. Lower bounds are developed to evaluate the heuristic algorithm. Extensive numerical computations are performed and the results show that the heuristic generates solutions with makespan within 2% above the lower bounds in average, and outperforms CPLEX 12.6 for large scale and complex problems. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
3. J/ = 5.02 TeV with ALICE
- Author
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Khatun, Anisa, Behera, Prafulla Kumar, editor, Bhatnagar, Vipin, editor, Shukla, Prashant, editor, and Sinha, Rahul, editor
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- 2021
- Full Text
- View/download PDF
4. Scheduling High Multiplicity Coupled Tasks
- Author
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Wojciechowicz Wojciech and Gabay Michaël
- Subjects
coupled tasks ,scheduling ,complexity theory ,asymptotically optimal algorithms ,high multiplicity ,Electronic computers. Computer science ,QA75.5-76.95 - Abstract
The coupled tasks scheduling problem is class of scheduling problems, where each task consists of two operations and a separation gap between them. The high-multiplicity is a compact encoding, where identical tasks are grouped together, and the group is specified instead of each individual task. Consequently the encoding of a problem instance is decreased significantly. In this article we derive a lower bound for the problem variant as well as propose an asymptotically optimal algorithm. The theoretical results are complemented with computational experiment, where a new algorithm is compared with three other algorithms implemented.
- Published
- 2020
- Full Text
- View/download PDF
5. Cyclic lot-sizing problems with sequencing costs.
- Author
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Grigoriev, Alexander, Kreuzen, Vincent J., and Oosterwijk, Tim
- Subjects
INVENTORY costs ,APPROXIMATION algorithms ,COST ,COMPUTATIONAL complexity ,UNITS of time - Abstract
We study a single-machine lot-sizing problem, where n types of products need to be scheduled on the machine. Each product is associated with a constant demand rate, maximum production rate and inventory costs per time unit. Every time when the machine switches production between products, sequencing costs are incurred. These sequencing costs depend both on the product the machine just produced and on the product the machine is about to produce. The goal is to find a cyclic schedule minimizing total average costs, subject to the condition that all demands are satisfied. We establish the complexity of the problem, and we prove a number of structural properties largely characterizing optimal solutions. Moreover, we present two algorithms approximating the optimal schedules by augmenting the problem input. Due to the high-multiplicity setting, even trivial cases of the corresponding conventional counterparts become highly non-trivial with respect to the output sizes and computational complexity, even without sequencing costs. In particular, the length of an optimal solution can be exponential in the input size of the problem. Nevertheless, our approximation algorithms produce schedules of a polynomial length and with a good quality compared to the optimal schedules of exponential length. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
6. Study of charged-particle multiplicity fluctuations in pp collisions with Monte Carlo event generators at the LHC.
- Author
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Shokr, E., El-Farrash, A. H., De Roeck, A., and Mahmoud, M. A.
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MONTE Carlo method , *HADRON interactions , *MULTIPLICITY (Mathematics) , *LARGE Hadron Collider , *CENTER of mass , *CHARGED particle accelerators - Abstract
Proton–Proton (p p) collisions at the Large Hadron Collider (LHC) are simulated in order to study events with a high local density of charged particles produced in narrow pseudorapidty windows of Δ η = 0.1, 0.2, and 0.5. The p p collisions are generated at center of mass energies of s = 2. 3 6 , 7 , 8 , and 1 3 TeV, i.e., the energies at which the LHC has operated so far, using PYTHIA and HERWIG event generators. We have also studied the average of the maximum charged-particle density versus the event multiplicity for all events, using the different pseudorapidity windows. This study prepares for the multi-particle production background expected in a future search for anomalous high-density multiplicity fluctuations using the LHC data. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
7. Collective Behavior of Secondary Particles in the Region of high Multiplicity in pp Interactions at 50 GeV/c
- Author
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Nurlan Barlykov, V. V. Popov, V. N. Ryadovikov, Elena Kokoulina, Andrey Kutov, R Shulyakovsky, Alexander Gribovsky, V. B. Dunin, V. A. Nikitin, and Vladimir Dudin
- Subjects
Nuclear physics ,Physics ,Collective behavior ,Nuclear Theory ,Physics::Accelerator Physics ,High Energy Physics::Experiment ,Statistical and Nonlinear Physics ,High multiplicity ,Mathematical Physics - Abstract
The latest results on the search for collective phenomena in proton interactions at the U-70 accelerator at IHEP (Protvino) are presented. This long-term experiment has been carried at the SVD-2 setup. Our study was aimed at a high multiplicity region where the series of collective phenomena is predicted. We have received an evidence of the formation of a pion (Bose-Einstein) condensate. We have observed two noticeable peaks in the angular distribution of charged pions interpreted as Cherenkov radiation of gluons by quarks and others phenomena.
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- 2021
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8. High multiplicity of positive solutions for superlinear indefinite problems with homogeneous Neumann boundary conditions.
- Author
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Tellini, Andrea
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MULTIPLICITY (Mathematics) , *PROBLEM solving , *NEUMANN boundary conditions , *BIFURCATION diagrams , *PARAMETER estimation - Abstract
We prove that a class of superlinear indefinite problems with homogeneous Neumann boundary conditions admits an arbitrarily high number of positive solutions, provided that the parameters of the problem are adequately chosen. The sign-changing weight in front of the nonlinearity is taken to be piecewise constant, which allows us to perform a sharp phase-plane analysis, firstly to study the sets of points reached at the end of the regions where the weight is negative, and then to connect such sets through the flow in the positive part. Moreover, we study how the number of solutions depends on the amplitude of the region in which the weight is positive, using the latter as the main bifurcation parameter and constructing the corresponding global bifurcation diagrams. [ABSTRACT FROM AUTHOR]
- Published
- 2018
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9. New Insights on the Structure and Morphogenesis of Berne Virus
- Author
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Garzón, Ana, Maestre, Ana M., Pignatelli, Jaime, Rejas, M. Teresa, Rodríguez, Dolores, Perlman, Stanley, editor, and Holmes, Kathryn V., editor
- Published
- 2006
- Full Text
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10. Momentum-Kick Model Application to High-Multiplicity pp Collisions at $\sqrt {s}=13$ TeV at the LHC
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Beomkyu Kim, Jin-Hee Yoon, Hanul Youn, and Soyeon Cho
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Particle physics ,Nuclear Theory ,nucl-th ,Physics and Astronomy (miscellaneous) ,General Mathematics ,FOS: Physical sciences ,Parton ,High multiplicity ,01 natural sciences ,Nuclear Theory (nucl-th) ,Momentum ,High Energy Physics - Phenomenology (hep-ph) ,Atlas (anatomy) ,0103 physical sciences ,medicine ,Nuclear Experiment ,010306 general physics ,Particle Physics - Phenomenology ,Physics ,Large Hadron Collider ,010308 nuclear & particles physics ,Momentum transfer ,hep-ph ,Ridge (differential geometry) ,Collision ,High Energy Physics - Phenomenology ,medicine.anatomical_structure ,Nuclear Physics - Theory - Abstract
In this study, the momentum-kick model is used to understand the ridge behaviours in dihadron $\Delta\eta$--$\Delta\varphi$ correlations recently reported by the LHC in high-multiplicity proton-proton (pp) collisions. The kick stand model is based on a momentum kick by leading jets to partons in the medium close to the leading jets. The medium where partons move freely is assumed in the model regardless of collision systems. This helps us apply the method to small systems like pp collisions in a simple way. Also, the momentum transfer is purely kinematic and this provides us a strong way to approach the ridge behaviour analytically. There are already several results with this approach in high-energy heavy-ion collisions from the STAR and PHENIX at RHIC and from the CMS at LHC. The momentum-kick model is extended to the recent ridge results in high-multiplicity pp collisions with the ATLAS and CMS at LHC. The medium property in high-multiplicity pp collisions is diagnosed with the result of the model., Comment: 10 pages, 2 tables and 3 figures
- Published
- 2021
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11. High multiplicity asymmetric traveling salesman problem with feedback vertex set and its application to storage/retrieval system
- Author
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Chao Xu, Wenda Zhang, and Amir Gharehgozli
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Vertex (graph theory) ,Information Systems and Management ,General Computer Science ,Automated storage and retrieval system ,Computer science ,Modeling and Simulation ,Feedback vertex set ,Management Science and Operations Research ,High multiplicity ,Travelling salesman problem ,Algorithm ,Industrial and Manufacturing Engineering ,Vertex (geometry) - Abstract
We describe an algorithm for the high multiplicity asymmetric traveling salesman problem with feedback vertex set of size k ( HMATSP -kFVS) where each vertex can be visited a certain number of times and each cycle in a solution contains at least one vertex from the feedback vertex set. We show how it can be used to improve algorithms in automated storage and retrieval systems. An automated storage and retrieval system includes storage blocks and storage and retrieval machines that either move to retrieve unit loads from their current locations in the system to a depot or take unit loads from a depot and store them to specific locations in the system. Given n storage and retrieval requests in a system with k depots and one storage and retrieval machine, we show that our algorithm for HMATSP -kFVS can solve the problem of minimizing total traveling time of the storage and retrieval machine in O ( n k + n 3 ) time when all depots are specialized (each depot fulfills one type of requests) and in O ( n 2 k + n 3 ) time when depots are regular (each depot fulfills both types of requests). The best previous algorithm only solves the special case of the problem with 2 regular depots in O(n6) time. The applicability of our algorithm for several generalizations and special cases of the problem is also discussed. Furthermore, to evaluate the performance of our solution method, we perform extensive numerical experiments.
- Published
- 2021
- Full Text
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12. Vector Finder—A Toolkit for Track Finding in the MPD Experiment
- Author
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A.I. Zinchenko, E. G. Nikonov, and Dmitrii Zinchenko
- Subjects
Physics ,Nuclear and High Energy Physics ,Radiation ,business.industry ,Track (disk drive) ,Detector ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,High multiplicity ,Reconstruction method ,Atomic and Molecular Physics, and Optics ,Software ,Combinatorial search ,A priori and a posteriori ,Radiology, Nuclear Medicine and imaging ,business ,Reconstruction procedure ,Algorithm - Abstract
A track reconstruction method based on a constrained combinatorial search for track candidates, i.e. combinations of detector hits possibly belonging to a track, is presented. The algorithm has been implemented as a Vector Finder software toolkit containing a track reconstruction procedure and tools to determine hit acceptance windows (a priori constraints) for the track search. Track reconstruction results for high multiplicity simulated events (∼1000 particles in the detector acceptance) are shown demonstrating good performance of the approach proposed.
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- 2021
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13. Measurement of J/ψ production as a function of event multiplicity in pp collisions at [formula omitted] with ALICE.
- Author
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Weber, S.G.
- Subjects
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MULTIPLICITY of nuclear particles , *QUANTUM chromodynamics , *ELECTRON-positron interactions , *PARTONS ,MESON spectra - Abstract
The availability at the LHC of the largest collision energy in pp collisions allows a significant advance in the measurement of J / ψ production as function of event multiplicity. The interesting relative increase observed with data at the LHC at s = 7 TeV and at RHIC at s = 0.2 TeV is studied now at unprecedented multiplicities at s = 13 TeV . The measurement at mid-rapidity in the dielectron channel with ALICE is presented and discussed in comparison to predictions from available theoretical models and to data at lower energies. [ABSTRACT FROM AUTHOR]
- Published
- 2017
- Full Text
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14. Experimental overview on small collision systems at the LHC.
- Author
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Loizides, Constantin
- Subjects
- *
COLLISIONS (Nuclear physics) , *LARGE Hadron Collider , *QUARK matter , *CONFERENCES & conventions - Abstract
These conferences proceedings summarize the experimental findings obtained in small collision systems at the LHC, as presented in the special session on “QGP in small systems?” at the Quark Matter 2015 conference. [ABSTRACT FROM AUTHOR]
- Published
- 2016
- Full Text
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15. Scheduling High Multiplicity Coupled Tasks
- Author
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Michaël Gabay, Wojciech Wojciechowicz, Institute of Computing Science [Poznan], Poznan University of Technology (PUT), Recherche Opérationnelle pour les Systèmes de Production (G-SCOP_ROSP), Laboratoire des sciences pour la conception, l'optimisation et la production (G-SCOP), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), and Université Grenoble Alpes (UGA)-Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)
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0209 industrial biotechnology ,021103 operations research ,Job shop scheduling ,Computer science ,0211 other engineering and technologies ,complexity theory ,QA75.5-76.95 ,[INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO] ,02 engineering and technology ,High multiplicity ,Upper and lower bounds ,Coupled tasks ,Scheduling (computing) ,high multiplicity ,020901 industrial engineering & automation ,Asymptotically optimal algorithm ,asymptotically optimal algorithms ,Electronic computers. Computer science ,scheduling ,Algorithm - Abstract
The coupled tasks scheduling problem is class of scheduling problems, where each task consists of two operations and a separation gap between them. The high-multiplicity is a compact encoding, where identical tasks are grouped together, and the group is specified instead of each individual task. Consequently the encoding of a problem instance is decreased significantly. In this article we derive a lower bound for the problem variant as well as propose an asymptotically optimal algorithm. The theoretical results are complemented with computational experiment, where a new algorithm is compared with three other algorithms implemented.
- Published
- 2020
- Full Text
- View/download PDF
16. LHCb: Recent Results and Future Plans
- Author
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Cesar Luiz da Silva
- Subjects
Physics ,Particle physics ,Large Hadron Collider ,Physics::Instrumentation and Detectors ,High Energy Physics::Phenomenology ,Detector ,Hadron ,High multiplicity ,Talk ,Nuclear Physics - Experiment ,High Energy Physics::Experiment ,Heavy ion ,Charm (quantum number) ,Nuclear Experiment ,Particle Physics - Experiment - Abstract
In this overview contribution we introduce the most recent results in high-multiplicity $pp$ and heavy ion collisions obtained by the LHCb experiment, detector developments and plans for the future heavy ion program. Some of the highlights include the study of double charm production, nuclear modification of B-hadrons, quarkonia and Z-bosons in $p$Pb and the suppression of prompt X(3872) hadrons in high multiplicity $pp$ events. On the detector side, we bring to attention the preparation for the upcoming Run III in LHC and the fixed target program.
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- 2021
- Full Text
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17. Strangeness Production in S + Pb and p + Pb Collisions at 200 GEV/c Per Nucleon
- Author
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Zybert, Ryszard, Judd, Eleanor G., Gutbrod, Hans H., editor, and Rafelski, Johann, editor
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- 1993
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18. Throughput optimization in two-machine flowshops with flexible operations
- Author
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Gültekin, Hakan, Crama, Yves, Gültekin, Hakan, and Crama, Yves
- Abstract
In this study, a two-machine flowshop producing identical parts is considered. Each of the identical parts is assumed to require a number of manufacturing operations, and the machines are assumed to be flexible enough to perform different operations. Due to economical or technological constraints, some specific operations are preassigned to one of the machines. The remaining operations, called flexible operations, can be performed on either one of the machines, so that the same flexible operation can be performed on different machines for different parts. The problem is to determine the assignment of the flexible operations to the machines for each part, with the objective of maximizing the throughput rate. We consider various cases regarding the number of parts to be produced and the capacity of the buffer between the machines. We present solution methods for each variant of the problem., Scientific and Technical Research Council of TurkeyTurkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [2219], The authors thank two anonymous referees for their constructive comments on an earlier version of this paper. The second author acknowledges the partial support of the Scientific and Technical Research Council of Turkey under grant #2219.
- Published
- 2021
19. Throughput optimization in two-machine flowshops with flexible operations
- Author
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Crama, Yves, Gültekin, Hakan, Crama, Yves, and Gültekin, Hakan
- Abstract
In this study, a two-machine flowshop producing identical parts is considered. Each of the identical parts is assumed to require a number of manufacturing operations, and the machines are assumed to be flexible enough to perform different operations. Due to economical or technological constraints, some specific operations are preassigned to one of the machines. The remaining operations, called flexible operations, can be performed on either one of the machines, so that the same flexible operation can be performed on different machines for different parts. The problem is to determine the assignment of the flexible operations to the machines for each part, with the objective of maximizing the throughput rate. We consider various cases regarding the number of parts to be produced and the capacity of the buffer between the machines. We present solution methods for each variant of the problem., Scientific and Technical Research Council of TurkeyTurkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [2219], The authors thank two anonymous referees for their constructive comments on an earlier version of this paper. The second author acknowledges the partial support of the Scientific and Technical Research Council of Turkey under grant #2219.
- Published
- 2021
20. On the initial approximation of charged particle tracks in detectors with linear sensing elements
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V.S. Rikhvitsky, V.N. Pechenov, Alexander Belyaev, S.A. Avramenko, and G. Agakishiev
- Subjects
Physics ,Nuclear and High Energy Physics ,Physics - Instrumentation and Detectors ,Physics::Instrumentation and Detectors ,Track (disk drive) ,Detector ,FOS: Physical sciences ,Straight segment ,Instrumentation and Detectors (physics.ins-det) ,High multiplicity ,Space (mathematics) ,Tracking (particle physics) ,Charged particle ,High Energy Physics - Experiment ,High Energy Physics - Experiment (hep-ex) ,Line (geometry) ,High Energy Physics::Experiment ,Instrumentation ,Algorithm - Abstract
The search for charged particle tracks in detectors with linear sensing elements, such as multiwire proportional drift chambers, silicon strip detectors etc., often begins with the identification of a straight segment of track. This can be achieved by constructing all reasonable combinations of fired detector channels. In high multiplicity environment, with many fired detector channels, this approach causes large combinatorics and significantly reduces the performance of the track finding algorithms. We provide a method which allows to find initial approximations of straight segments of track in space using four linear sensing elements. This method is especially helpful if there are no parallel elements in the setup. The procedure can also be applied as a first approximation to the case of finding curved tracks. In general, it can be used to find a line in space which crosses the other four lines.
- Published
- 2019
- Full Text
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21. Investigating the particle production at intermediate p using identified triggered correlation in pp collisions at s = 7 TeV
- Author
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Debojit Sarkar, Supriya Das, and Subhasis Chattopadhyay
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Physics ,Nuclear and High Energy Physics ,Large Hadron Collider ,Meson ,Proton ,010308 nuclear & particles physics ,High Energy Physics::Phenomenology ,Nuclear Theory ,High multiplicity ,01 natural sciences ,Charged particle ,Baryon ,Nuclear physics ,Pion ,0103 physical sciences ,High Energy Physics::Experiment ,Multiplicity (chemistry) ,Nuclear Experiment ,010306 general physics - Abstract
An inclusive baryon to meson enhancement with increase in multiplicity has been observed at intermediate p T in pp collisions at s = 7 TeV. Such a striking feature can be explained by approaches based on hydrodynamics and multi-parton interactions (MPI) coupled with color reconnection (CR) mechanism. In this paper, we investigate the multiplicity evolution of the charged particle yields associated with pions and protons selected from the intermediate p T region where the inclusive baryon to meson enhancement has been observed. The study has been performed using EPOS 3 (hydrodynamics) and PYTHIA 8 (MPI with CR) event generators for pp collisions at 7 TeV. We find that the response of the individual pion and proton triggered correlation towards these two mechanisms is different and can be used to disentangle the effect of one from the other. The current study can, therefore, provide important insights on the particle production mechanisms at intermediate p T in high multiplicity pp collisions at the LHC energies.
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- 2019
- Full Text
- View/download PDF
22. Multilevel coordination-driven assembly for metallosupramolecules with hierarchical structures
- Author
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Hyojong Yoo, Hien Duy Mai, and Ngoc Minh Tran
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Hierarchy (mathematics) ,010405 organic chemistry ,Chemistry ,Multifunctional ligands ,Distributed computing ,Structural classification ,Construct (python library) ,High multiplicity ,010402 general chemistry ,01 natural sciences ,0104 chemical sciences ,Inorganic Chemistry ,Materials Chemistry ,Physical and Theoretical Chemistry - Abstract
Despite recent advances toward understanding metallosupramolecular platforms, structural classification remains a challenge because of the high multiplicity and diversity originating from the variety of three-dimensional binding modes of metal ions and multifunctional ligands. In this review, multilevel coordination-driven assembly and its potential implementation in the analysis of a variety of structurally complicated metallosupramolecules are demonstrated. The classification of coordination-driven structures with their respective hierarchy levels is summarized based on the ability of each structural unit to construct ordered molecular platforms. Multilevel assembly is composed of (i) primary, (ii) secondary, (iii) tertiary, or higher-order assembly. The coordination-driven binding modes should differ by levels in a complex. In particular, tertiary assembly involves the use of predefined, well-organized secondary supramolecules as basic modules to build discrete or polymeric structures. Using the suggested concept, coordination-driven metallosupramolecular platforms can be readily classified depending on their respective hierarchical structures. We expect that this simple analytical approach will provide researchers with a more effective understanding of coordination-driven assembly and facilitate the design of new complexes for specialized applications.
- Published
- 2019
- Full Text
- View/download PDF
23. Symmetry breaking of identical projects in the high-multiplicity RCPSP/max
- Author
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Davaatseren Baatar, Kate Smith-Miles, Steven J. Edwards, and Andreas T. Ernst
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Marketing ,Mathematical optimization ,Class (set theory) ,021103 operations research ,Job shop scheduling ,Computer science ,Strategy and Management ,Existential quantification ,0211 other engineering and technologies ,Scheduling (production processes) ,02 engineering and technology ,Schedule (project management) ,Management Science and Operations Research ,High multiplicity ,Symmetry (physics) ,Management Information Systems ,Resource (project management) ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,Symmetry breaking - Abstract
This article considers the high-multiplicity resource-constrained project scheduling problem with generalised precedence constraints (RCPSP/max). Projects, which can be partitioned into relatively few classes, are to be scheduled subject to resource and generalised precedence constraints. We show that there exists symmetry between projects of the same class and propose two approaches of symmetry breaking: (1) adding additional constraints to the model in the form of precedence constraints, (2) remodelling the problem to reduce the number of variables. To test the usefulness of the symmetry breaking approaches a computational study is completed considering two families of discrete-time based MIP models and a number of state-of-the-art CP-based scheduling approaches. The study shows that both symmetry breaking approaches allow all solving methods to find and prove more optimal solutions. The best CP approach is then used to find a number of new best solutions to relevant problems from the MPSPlib, a multi-project scheduling problem library, for both the total makespan and average project delay objective, whereas the best MIP approach is used to determine a number of tighter lower bounds.
- Published
- 2019
- Full Text
- View/download PDF
24. D0-Meson R in PbPb Collisions at sNN=5.02TeV and Elliptic Flow in pPb Collisions at sNN=8.16TeV with CMS
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Carlo Battilana, Caglar Zorbilmez, Fabrizio Palla, Begona De la Cruz, Samet Lezki, José María Hernández Calama, Yalcin Guler, Sergei Shmatov, Francesco Fallavollita, Sergey Polikarpov, Ezio Torassa, Seon-Hee Seo, Tatyana Dimova, Maria Cruz Fouz Iglesias, Alexander Tapper, Cristina TUVE', Kevin Lannon, Mithat Kaya, Michael Tytgat, Maria Isabel Pedraza Morales, Mehmet Oglakci, Pierluigi Bortignon, Zhaozhong Shi, Geoffrey Hall, Antonio Perez-Calero Yzquierdo, KEREM CANKOÇAK, Joao Seixas, FERHAT OZOK, Kadri Ozdemir, Mariana Shopova, EMINE GÜRPINAR GÜLER, and Giacomo Sguazzoni
- Subjects
Coupling ,Physics ,Nuclear and High Energy Physics ,Particle physics ,Meson ,010308 nuclear & particles physics ,Nuclear Theory ,High Energy Physics::Phenomenology ,Elliptic flow ,Modification factor ,High multiplicity ,01 natural sciences ,Charm quark ,Flow (mathematics) ,0103 physical sciences ,High Energy Physics::Experiment ,Charm (quantum number) ,Nuclear Experiment ,010306 general physics - Abstract
The study of charm production in heavy-ion collisions is considered an excellent probe for the properties of the hot and dense medium created in heavy-ion collisions. Measurements of D-0-meson nuclear modification factor can provide strong constraints into the mechanisms of in-medium energy loss and charm flow in the medium. The measurement of D-0-meson elliptic flow in pPb collisions helps us understand the strength of charm quarks coupling to significantly reduced systems which demonstrate hydrodynamic properties. In this paper, the measurements of the D-0-meson nuclear modification factor in PbPb collisions at 5.02 TeV together with the new measurement of D-0-meson elliptic flow in high multiplicity pPb collisions at 5.02 TeV using the two-particle correlation method will be presented.
- Published
- 2019
- Full Text
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25. Feasibility criteria for high-multiplicity partitioning problems
- Author
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Claudiu Raicu
- Subjects
Set (abstract data type) ,Combinatorics ,Monomial ,Algebra and Number Theory ,Mathematics::Commutative Algebra ,Commutative algebra ,High multiplicity ,Bin ,Mathematics - Abstract
For fixed weights w 1 , ⋯ , w n , and for d > 0 , we let B denote a collection of d ⋅ n balls, with d balls of weight w i for each i = 1 , ⋯ , n . We consider the problem of assigning the balls to n bins with capacities C 1 , ⋯ , C n , in such a way that each bin is assigned d balls, without exceeding its capacity. When d ≫ 0 , we give sufficient criteria for the feasibility of this problem, which coincide up to explicit constants with the natural set of necessary conditions. Furthermore, we show that our constants are optimal when the weights w i are distinct. The feasibility criteria that we present here are used elsewhere (in commutative algebra) to study the asymptotic behavior of the Castelnuovo–Mumford regularity of symmetric monomial ideals.
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- 2022
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26. Multiplexed virtual fluorescence labeling from multi-contrast microscopy by deep learning
- Author
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Yumi Mun Kim, Ji Yi, Lei Tian, Shiyi Cheng, and Sipei Fu
- Subjects
medicine.diagnostic_test ,Chemistry ,Multi contrast ,Microscopy ,Biophysics ,medicine ,Multiplicity (chemistry) ,High multiplicity ,Immunofluorescence ,Fluorescence ,Reflectivity ,Staining - Abstract
Standard immunofluorescence (IF) staining is labor-intensive, time-consuming and suffers from inflexibility and poor multiplicity. To overcome these limitations, we proposed a deep learning (DL) approach for virtual IF staining with high multiplicity and specificity from label-free reflectance microscopy. Our results show that DL-enabled label-free IF microscopy can predict characteristic subcellular features during different cell cycles and reveal cellular phenotypes with high accuracy.
- Published
- 2021
- Full Text
- View/download PDF
27. Long- and short-range correlations and their event-scale dependence in high-multiplicity pp collisions at √s = 13 TeV
- Author
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Alexander Kluge, Jian Liu, V. Grigoriev, G. V. Margagliotti, Sebastien Perrin, Zubayer Ahammed, Tomas Herman, Johan Alme, Luciano Ramello, Toralf Bernhard Skaali, J. de Cuveland, Deepa Thomas, Sergey Kiselev, Bushra Ali, Q. Y. Shou, Maria Barlou, Michael Henry Oliver, F. Torales-Acosta, G. Martínez García, Herve Borel, Silvia Pisano, Zuzana Moravcova, Negin Alizadehvandchali, A. De Falco, Adrian Fereydon Nassirpour, Bruno Alessandro, Sudhir Raniwala, Rafael Peretti Pezzi, Dmitry Blau, M. Keil, E. Fragiacomo, Marcello Lunardon, P. Gianotti, Georgy Tersimonov, P. Vande Vyvre, Tatiana Karavicheva, K. Schweda, Ian Gardner Bearden, Daiki Sekihata, Yingchun Zhu, Alexey Kuryakin, Hannah Bossi, Auro Prasad Mohanty, G. de Cataldo, A. Di Mauro, Tim Sebastian Rogoschinski, Peter Braun-Munzinger, Sanjeev Singh Sambyal, Valeriy Pozdniakov, Ashik Ikbal Sheikh, Lukas Kreis, Maya Hachiya Shimomura, A. Kondratyev, E. A. R. Casula, Sonia Parmar, Maria Vasileiou, Ralf Keidel, Sergey Shirinkin, Tuva Ora Herenui Richert, Siyu Tang, S. Vergara Limón, Raquel Estefania Quishpe Quishpe, Peter Levai, J. Saini, R. Bellwied, Gergely Gabor Barnafoldi, Nicola Zurlo, Vladimir Kovalenko, Shiming Yang, Hira Ilyas, Sandro Christian Wenzel, Raimond Snellings, Zebo Tang, Linda Vickovic, Nicolo Jacazio, Sergey Gorbunov, Krzysztof Redlich, Anton Jusko, Ivan Kralik, Miroslav Pikna, Mario Sitta, Giacomo Contin, Sarita Sahoo, Giuseppe Mandaglio, Benedikt Volkel, Mikhail Malaev, Alessandra Fantoni, Joshua Leon Konig, L. A. P. Moreno, Christoph Mayer, Jens Robert Luhder, Leo Clifford Greiner, A. Karasu Uysal, Angela Badala, Julian Wojciech Myrcha, Arthur Willem Jean Gal, Rainer Arno Ernst Renfordt, Filippo Baruffaldi, Petr Nomokonov, Sergey Filchagin, Marco Bregant, Purushottam Chakraborty, J. Porter, Amalia Pop, Oskari Antti Matti Saarimaki, Hartmut Hillemanns, A. D. C. 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M., Ghosh J., Ghosh P., Ghosh S.K., Giacalone M., Gianotti P., Giubellino P., Giubilato P., Glaenzer A.M.C., Glassel P., Gonzalez V., Gonzalez-Trueba L.H., Gorbunov S., Gorlich L., Gotovac S., Grabski V., Graczykowski L.K., Graham K.L., Greiner L., Grelli A., Grigoras C., Grigoriev V., Grigoryan A., Grigoryan S., Groettvik O.S., Grosa F., Grosse-Oetringhaus J.F., Grosso R., Guernane R., Guilbaud M., Guittiere M., Gulbrandsen K., Gunji T., Gupta A., Gupta R., Guzman I.B., Haake R., Habib M.K., Hadjidakis C., Hamagaki H., Hamar G., Hamid M., Hannigan R., Haque M.R., Harlenderova A., Harris J.W., Harton A., Hasenbichler J.A., Hassan H., Hatzifotiadou D., Hauer P., Havener L.B., Hayashi S., Heckel S.T., Hellbar E., Helstrup H., Herman T., Hernandez E.G., Herrera Corral G., Herrmann F., Hetland K.F., Hillemanns H., Hills C., Hippolyte B., Hohlweger B., Honermann J., Hong G.H., Horak D., Hornung S., Hosokawa R., Hristov P., Huang C., Hughes C., Huhn P., Humanic T.J., Hushnud H., Husova L.A., Hussain N., Hutter D., Iddon J.P., Ilkaev R., Ilyas H., Inaba M., Innocenti G.M., Ippolitov M., Isakov A., Islam M.S., Ivanov M., Ivanov V., Izucheev V., Jacak B., Jacazio N., Jacobs P.M., Jadlovska S., Jadlovsky J., Jaelani S., Jahnke C., Jakubowska M.J., Janik M.A., Janson T., Jercic M., Jevons O., Jin M., Jonas F., Jones P.G., Jung J., Jung M., Junique A., Jusko A., Kalinak P., Kalweit A., Kaplin V., Kar S., Karasu Uysal A., Karatovic D., Karavichev O., Karavicheva T., Karczmarczyk P., Karpechev E., Kazantsev A., Kebschull U., Keidel R., Keil M., Ketzer B., Khabanova Z., Khan A.M., Khan S., Khanzadeev A., Kharlov Y., Khatun A., Khuntia A., Kileng B., Kim B., Kim D., Kim D.J., Kim E.J., Kim H., Kim J., Kim J.S., Kim M., Kim S., Kim T., Kirsch S., Kisel I., Kiselev S., Kisiel A., Klay J.L., Klein J., Klein S., Klein-Bosing C., Kleiner M., Klemenz T., Kluge A., Knospe A.G., Kobdaj C., Kohler M.K., Kollegger T., Kondratyev A., Kondratyeva N., Kondratyuk E., Konig J., Konigstorfer S.A., Konopka P.J., Kornakov G., Koryciak S.D., Koska L., Kovalenko O., Kovalenko V., Kowalski M., Kralik I., Kravcakova A., Kreis L., Krivda M., Krizek F., Krizkova Gajdosova K., Kroesen M., Kruger M., Kryshen E., Krzewicki M., Kucera V., Kuhn C., Kuijer P.G., Kumaoka T., Kumar L., Kundu S., Kurashvili P., Kurepin A., Kurepin A.B., Kuryakin A., Kushpil S., Kvapil J., Kweon M.J., Kwon J.Y., Kwon Y., La Pointe S.L., La Rocca P., Lai Y.S., Lakrathok A., Lamanna M., Langoy R., Lapidus K., Larionov P., Laudi E., Lautner L., Lavicka R., Lazareva T., Lea R., Lee J., Lehrbach J., Lemmon R.C., Leon Monzon I., Lesser E.D., Lettrich M., Levai P., Li X., Li X.L., Lien J., Lietava R., Lim B., Lim S.H., Lindenstruth V., Lindner A., Lippmann C., Liu A., Liu J., Lofnes I.M., Loginov V., Loizides C., Loncar P., Lopez J.A., Lopez X., Lopez Torres E., Luhder J.R., Lunardon M., Luparello G., Ma Y.G., Maevskaya A., Mager M., Mahmood S.M., Mahmoud T., Maire A., Majka R.D., Malaev M., Malik Q.W., Malinina L., Mal'Kevich D., Mallick N., Malzacher P., Mandaglio G., Manko V., Manso F., Manzari V., Mao Y., Mares J., Margagliotti G.V., Margotti A., Marin A., Markert C., Marquard M., Martin N.A., Martinengo P., Martinez J.L., Martinez M.I., Martinez Garcia G., Masciocchi S., Masera M., Masoni A., Massacrier L., Mastroserio A., Mathis A.M., Matonoha O., Matuoka P.F.T., Matyja A., Mayer C., Mazuecos A.L., Mazzaschi F., Mazzilli M., Mazzoni M.A., Mechler A.F., Meddi F., Melikyan Y., Menchaca-Rocha A., Mengke C., Meninno E., Menon A.S., Meres M., Mhlanga S., Miake Y., Micheletti L., Migliorin L.C., Mihaylov D.L., Mikhaylov K., Mishra A.N., Miskowiec D., Modak A., Mohammadi N., Mohanty A.P., Mohanty B., Mohisin Khan M., Moravcova Z., Mordasini C., Moreira De Godoy D.A., Moreno L.A.P., Morozov I., Morsch A., Mrnjavac T., Muccifora V., Mudnic E., Muhlheim D., Muhuri S., Mulligan J.D., Mulliri A., Munhoz M.G., Munzer R.H., Murakami H., Murray S., Musa L., Musinsky J., Myers C.J., Myrcha J.W., Naik B., Nair R., Nandi B.K., Nania R., Nappi E., Naru M.U., Nassirpour A.F., Nattrass C., Nazarenko S., Neagu A., Nellen L., Nesbo S.V., Neskovic G., Nesterov D., Nielsen B.S., Nikolaev S., Nikulin S., Nikulin V., Noferini F., Noh S., Nomokonov P., Norman J., Novitzky N., Nowakowski P., Nyanin A., Nystrand J., Ogino M., Ohlson A., Oleniacz J., Oliveira Da Silva A.C., Oliver M.H., Onnerstad A., Oppedisano C., Ortiz Velasquez A., Osako T., Oskarsson A., Otwinowski J., Oyama K., Pachmayer Y., Padhan S., Pagano D., Paic G., Palasciano A., Pan J., Panebianco S., Pareek P., Park J., Parkkila J.E., Parmar S., Pathak S.P., Paul B., Pazzini J., Pei H., Peitzmann T., Peng X., Pereira L.G., Pereira Da Costa H., Peresunko D., Perez G.M., Perrin S., Pestov Y., Petracek V., Petrovici M., Pezzi R.P., Piano S., Pikna M., Pillot P., Pinazza O., Pinsky L., Pinto C., Pisano S., Ploskon M., Planinic M., Pliquett F., Poghosyan M.G., Polichtchouk B., Poljak N., Pop A., Porteboeuf-Houssais S., Porter J., Pozdniakov V., Prasad S.K., Preghenella R., Prino F., Pruneau C.A., Pshenichnov I., Puccio M., Qiu S., Quaglia L., Quishpe R.E., Ragoni S., Rakotozafindrabe A., Ramello L., Rami F., Ramirez S.A.R., Ramos A.G.T., Raniwala R., Raniwala S., Rasanen S.S., Rath R., Ravasenga I., Read K.F., Redelbach A.R., Redlich K., Rehman A., Reichelt P., Reidt F., Renfordt R., Rescakova Z., Reygers K., Riabov A., Riabov V., Richert T., Richter M., Riedler P., Riegler W., Riggi F., Ristea C., Rode S.P., Rodriguez Cahuantzi M., Roed K., Rogalev R., Rogochaya E., Rogoschinski T.S., Rohr D., Rohrich D., Rojas P.F., Rokita P.S., Ronchetti F., Rosano A., Rosas E.D., Rossi A., Rotondi A., Roy A., Roy P., Rubini N., Rueda O.V., Rui R., Rumyantsev B., Rustamov A., Ryabinkin E., Ryabov Y., Rybicki A., Rytkonen H., Rzesa W., Saarimaki O.A.M., Sadek R., Sadovsky S., Saetre J., Safarik K., Saha S.K., Saha S., Sahoo B., Sahoo P., Sahoo R., Sahoo S., Sahu D., Sahu P.K., Saini J., Sakai S., Sambyal S., Samsonov V., Sarkar D., Sarkar N., Sarma P., Sarti V.M., Sas M.H.P., Schambach J., Scheid H.S., Schiaua C., Schicker R., Schmah A., Schmidt C., Schmidt H.R., Schmidt M.O., Schmidt M., Schmidt N.V., Schmier A.R., Schotter R., Schukraft J., Schutz Y., Schwarz K., Schweda K., Scioli G., Scomparin E., Seger J.E., Sekiguchi Y., Sekihata D., Selyuzhenkov I., Senyukov S., Seo J.J., Serebryakov D., Serksnyte L., Sevcenco A., Shabanov A., Shabetai A., Shahoyan R., Shaikh W., Shangaraev A., Sharma A., Sharma H., Sharma M., Sharma N., Sharma S., Sheibani O., Sheikh A.I., Shigaki K., Shimomura M., Shirinkin S., Shou Q., Sibiriak Y., Siddhanta S., Siemiarczuk T., Silva T.F.D., Silvermyr D., Simatovic G., Simonetti G., Singh B., Singh R., Singh V.K., Singhal V., Sinha T., Sitar B., Sitta M., Skaali T.B., Skorodumovs G., Slupecki M., Smirnov N., Snellings R.J.M., Soncco C., Song J., Songmoolnak A., Soramel F., Sorensen S., Sputowska I., Stachel J., Stan I., Steffanic P.J., Stiefelmaier S.F., Stocco D., Storetvedt M.M., Stylianidis C.P., Suaide A.A.P., Sugitate T., Suire C., Suljic M., Sultanov R., Sumbera M., Sumberia V., Sumowidagdo S., Swain S., Szabo A., Szarka I., Tabassam U., Taghavi S.F., Taillepied G., Takahashi J., Tambave G.J., Tang S., Tang Z., Tarhini M., Tarzila M.G., Tauro A., Tejeda Munoz G., Telesca A., Terlizzi L., Terrevoli C., Tersimonov G., Thakur S., Thomas D., Tieulent R., Tikhonov A., Timmins A.R., Tkacik M., Toia A., Topilskaya N., Toppi M., Torales-Acosta F., Torres S.R., Trifiro A., Tripathy S., Tripathy T., Trogolo S., Trombetta G., Tropp L., Trubnikov V., Trzaska W.H., Trzcinski T.P., Trzeciak B.A., Tumkin A., Turrisi R., Tveter T.S., Ullaland K., Umaka E.N., Uras A., Urioni M., Usai G.L., Vala M., Valle N., Vallero S., van der Kolk N., van Doremalen L.V.R., van Leeuwen M., Vande Vyvre P., Varga D., Varga Z., Varga-Kofarago M., Vargas A., Vasileiou M., Vasiliev A., Vazquez Doce O., Vechernin V., Vercellin E., Vergara Limon S., Vermunt L., Vertesi R., Verweij M., Vickovic L., Vilakazi Z., Villalobos Baillie O., Vino G., Vinogradov A., Virgili T., Vislavicius V., Vodopyanov A., Volkel B., Volkl M.A., Voloshin K., Voloshin S.A., Volpe G., von Haller B., Vorobyev I., Voscek D., Vrlakova J., Wagner B., Weber M., Wegrzynek A., Wenzel S.C., Wessels J.P., Wiechula J., Wikne J., Wilk G., Wilkinson J., Willems G.A., Willsher E., Windelband B., Winn M., Witt W.E., Wright J.R., Wu Y., Xu R., Yalcin S., Yamaguchi Y., Yamakawa K., Yang S., Yano S., Yin Z., Yokoyama H., Yoo I.-K., Yoon J.H., Yuan S., Yuncu A., Yurchenko V., Zaccolo V., Zaman A., Zampolli C., Zanoli H.J.C., Zardoshti N., Zarochentsev A., Zavada P., Zaviyalov N., Zbroszczyk H., Zhalov M., Zhang S., Zhang X., Zhang Y., Zherebchevskii V., Zhi Y., Zhou D., Zhou Y., Zhu J., Zhu Y., Zichichi A., Zinovjev G., Zurlo N., and Helsinki Institute of Physics
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Particle physics ,Nuclear and High Energy Physics ,FLOW ,QC770-798 ,HEAVY-ION COLLISIONS ,High multiplicity ,114 Physical sciences ,01 natural sciences ,Heavy Ion Experiments ,Nuclear and particle physics. Atomic energy. Radioactivity ,0103 physical sciences ,Rapidity ,010306 general physics ,Nuclear Experiment ,Physics ,Range (particle radiation) ,PB COLLISIONS ,SMALL SYSTEM ,COLLECTIVITY ,PLASMA ,Large Hadron Collider ,010308 nuclear & particles physics ,Function (mathematics) ,heavy ion experiments ,correlation: short-range ,correlation: long-range ,multiplicity: high ,pp: scattering ,particle: yield ,angular correlation: two-particle ,CERN LHC Collt ,ransverse momentum ,leading particle ,collective ,rapidity ,PYTHIA ,ALICE ,experimental results ,13000 GeV-cms/nucleon ,Pseudorapidity ,Transverse momentum ,Event scale - Abstract
Two-particle angular correlations are measured in high-multiplicity proton-proton collisions at$$ \sqrt{s} $$s= 13 TeV by the ALICE Collaboration. The yields of particle pairs at short-(∆η∼ 0) and long-range (1.6<|∆η|<1.8) in pseudorapidity are extracted on the near-side (∆φ∼ 0). They are reported as a function of transverse momentum (pT) in the range 1< pT<4 GeV/c. Furthermore, the event-scale dependence is studied for the first time by requiring the presence of high-pTleading particles or jets for varyingpTthresholds. The results demonstrate that the long-range “ridge” yield, possibly related to the collective behavior of the system, is present in events with high-pTprocesses as well. The magnitudes of the short- and long-range yields are found to grow with the event scale. The results are compared to EPOS LHC and PYTHIA 8 calculations, with and without string-shoving interactions. It is found that while both models describe the qualitative trends in the data, calculations from EPOS LHC show a better quantitative agreement for thepTdependency, while overestimating the event-scale dependency.
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- 2021
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28. High-multiplicity neutron events registered by NEMESIS experiment
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Karol Jedrzejczak, Marcin Kasztelan, A. Sobkow, Maciej Slupecki, Ilya Usoskin, J. Szabelski, Pasi Kuusiniemi, Jari Joutsenvaara, Kai Loo, Ossi Kotavaara, Timo Enqvist, Wladyslaw Henryk Trzaska, Julia Puputti, T.E. Ward, and Jerzy Orzechowski
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Physics ,Muon ,COSMIC cancer database ,Proton decay ,Physics::Instrumentation and Detectors ,Astrophysics::High Energy Astrophysical Phenomena ,Dark matter ,Nuclear Theory ,neutronit ,hiukkasfysiikka ,High multiplicity ,Nuclear physics ,Double beta decay ,Neutron ,High Energy Physics::Experiment ,fysiikka ,radioaktiivinen säteily ,ydinfysiikka ,Nuclear Experiment ,Radioactive decay - Abstract
Neutron-induced interactions contribute to the signal-mimicking background in deep-underground searches for exotic phenomena such as Dark Matter, neutrino-less double beta decay, proton decay, etc. Apart from radioactive decay, the primary source of neutrons underground are high-energy muons from cosmic showers. While the maximum number of fission neutrons is around six and energies around one MeV, muon-induced interactions may generate hundreds of neutrons, also with high energies. Furthermore, these processes are not yet reproduced in numerical simulations with sufficient reliability. The main goal of the NEMESIS experiment is to improve our knowledge and understanding of cosmic muon-induced neutron production in high-Z targets. NEMESIS (New Emma MEasurementS Including neutronS) is taking data at a depth of 210 m.w.e. in Callio Lab in the Pyhäsalmi mine, Finland. nonPeerReviewed
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- 2021
29. Verification of Z-scaling in pp Collisions at RHIC.
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Tokarev, M. and Zborovský, I.
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- *
MULTIPLICITY of nuclear particles , *COLLISIONS (Nuclear physics) , *SCALING laws (Nuclear physics) , *PROTON-proton interactions , *NUCLEAR physics - Abstract
New experimental data on inclusive spectra of identified particles produced in pp collisions at the RHIC are used to test z-scaling. Energy and multiplicity independence of the scaling function is established. The RHIC data confirm z-scaling observed at U70, ISR, SpS and Tevatron energies. The obtained results are of interest to search for new physics phenomena of particle production in high transverse momentum and high multiplicity region at RHIC, Tevatron and LHC. © 2006 American Institute of Physics [ABSTRACT FROM AUTHOR]
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- 2006
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30. Hanbury-Brown–Twiss interferometry and collectivity inp+p,p+Pb,andPb+Pbcollisions
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Christopher Plumberg
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Physics ,010308 nuclear & particles physics ,Nuclear Theory ,Hanbury Brown and Twiss effect ,Small systems ,High multiplicity ,01 natural sciences ,Nuclear physics ,Interferometry ,0103 physical sciences ,Multiplicity (chemistry) ,Nuclear Experiment ,010306 general physics ,Nuclear theory - Abstract
Hanbury Brown--Twiss interferometry (HBT) provides crucial insights into both the space-time structure and the momentum-space evolution of ultrarelativistic nuclear collisions at freeze-out. In particular, the dependence of the HBT radii on the transverse pair momentum ${K}_{T}$ and the system charged multiplicity $d{N}_{\mathrm{ch}}/d\ensuremath{\eta}$ may reflect the mechanisms driving collective behavior in small systems. This paper argues that certain features observed in the multiplicity dependence of the HBT radii can be naturally understood if small systems evolve hydrodynamically at high multiplicity. This study thus establishes a baseline for the multiplicity dependence of HBT in hydrodynamics which may prove useful in discriminating between competing models of collectivity in nuclear collisions.
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- 2020
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31. Topological studies of light-flavor hadron production in high multiplicity pp collisions with ALICE at the LHC
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Sushanta Tripathy
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Physics ,Particle physics ,Large Hadron Collider ,hep-ex ,Hadron ,FOS: Physical sciences ,High multiplicity ,nucl-ex ,High Energy Physics - Experiment ,High Energy Physics - Experiment (hep-ex) ,Nuclear Physics - Experiment ,Production (computer science) ,ALICE (propellant) ,Nuclear Experiment (nucl-ex) ,Nuclear Experiment ,Particle Physics - Experiment ,Flavor - Abstract
Recent measurements in high-multiplicity pp and p-A collisions have revealed that these small collision systems exhibit collective-like behaviour, formerly thought to be achievable only in heavy-ion collisions. To understand the origins of these unexpected phenomena, event shape observables can be exploited, as they serve as a powerful tool to disentangle soft and hard contributions to particle production. Here, results on the production of light flavor hadrons for different classes of unweighted transverse spherocity ($S_{\rm 0}^{p_{\rm T}= 1}$) and relative transverse activity ($R_{\rm{T}}$) in high multiplicity pp collisions at $\sqrt{s}$ = 13 $\textrm{TeV}$ measured with the ALICE detector are presented. Hadron-to-pion ratios in different $S_{\rm 0}^{p_{\rm T}= 1}$ and $R_{\rm{T}}$ classes are also presented and compared with state-of-the-art QCD-inspired Monte Carlo event generators. The evolution of charged particle average transverse momentum ($\langle p_{\rm T}\rangle$) with multiplicity and $S_{\rm 0}^{p_{\rm T}= 1}$ is also discussed. In addition, the system size dependence of charged particle production in pp, p-Pb, and Pb-Pb collisions at $\sqrt{s_{\rm NN}}$= 5.02 TeV is presented. Finally, within the same approach, we present a search for jet quenching behavior in small collision systems., Proceedings of "40th International Conference on High Energy Physics", 28 July - 6 August 2020 (Online). arXiv admin note: substantial text overlap with arXiv:2010.05038
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- 2020
32. Multiplicity dependent production of X(3872)
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Jana Crkovska
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Physics ,Baryon ,Particle physics ,Meson ,High Energy Physics::Phenomenology ,Hadron ,High Energy Physics::Experiment ,Tetraquark ,High multiplicity ,Multiplicity (chemistry) ,Nuclear Experiment ,Phenomenology (particle physics) ,X(3872) - Abstract
In the last two decades, many hadronic resonances were discovered which are incompatible with the theoretical framework describing conventional mesons and baryons. Among these is the $\chi_{c1}(3872)$, a suspected tetraquark state, first observed in decays of $B$ hadrons into $\rm J/ \psi \pi^+ \pi^-$. The hadronic medium produced in high multiplicity $pp$ collisions allows us to study the onset of nuclear effects on these hadrons, and can thus help us to unveil more about the nature of the $\chi_{c1}(3872)$. The common decay channel with that of a conventional charmonium state $\psi (2\rm S)$ makes the latter an excellent reference for such studies, as we know more about its phenomenology. This talk discusses the recent preliminary results from LHCb on the measurement of the relative suppression of $\chi_{c1}(3872)$ over $\psi (2\rm S)$ exploring their shared $\rm J/ \psi \pi^+ \pi^-$ decay channel in $pp$ collisions at $\sqrt{s} = 8 \text{ TeV}$.
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- 2020
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33. Kinetic fingerprinting links bacteria-phage interactions with emergent dynamics: Rapid depletion of klebsiella pneumoniae indicates phage synergy
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Marie Anders-Maurer, Johannes Wittmann, Oleg Krut, Christine Rohde, Insea Schlattmeier, Holger Loessner, Christel Kamp, Cornelia Pokalyuk, and Isabelle Bekeredjian-Ding
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0301 basic medicine ,Microbiology (medical) ,phage therapy ,kinetic fingerprint ,Phage therapy ,Klebsiella pneumoniae ,medicine.medical_treatment ,viruses ,030106 microbiology ,Population ,Bacterial population ,High multiplicity ,Biochemistry ,Microbiology ,resistance ,03 medical and health sciences ,medicine ,population dynamics ,phage ,emergence ,Pharmacology (medical) ,ddc:610 ,General Pharmacology, Toxicology and Pharmaceutics ,education ,education.field_of_study ,biology ,Chemistry ,Dynamics (mechanics) ,lcsh:RM1-950 ,Rational design ,mathematical modeling ,biology.organism_classification ,030104 developmental biology ,Infectious Diseases ,lcsh:Therapeutics. Pharmacology ,synergistic interaction ,Phagentherapie ,Bacteria - Abstract
The specific temporal evolution of bacterial and phage population sizes, in particular bacterial depletion and the emergence of a resistant bacterial population, can be seen as a kinetic fingerprint that depends on the manifold interactions of the specific phage&ndash, host pair during the course of infection. We have elaborated such a kinetic fingerprint for a human urinary tract Klebsiella pneumoniae isolate and its phage vB_KpnP_Lessing by a modeling approach based on data from in vitro co-culture. We found a faster depletion of the initially sensitive bacterial population than expected from simple mass action kinetics. A possible explanation for the rapid decline of the bacterial population is a synergistic interaction of phages which can be a favorable feature for phage therapies. In addition to this interaction characteristic, analysis of the kinetic fingerprint of this bacteria and phage combination revealed several relevant aspects of their population dynamics: A reduction of the bacterial concentration can be achieved only at high multiplicity of infection whereas bacterial extinction is hardly accomplished. Furthermore the binding affinity of the phage to bacteria is identified as one of the most crucial parameters for the reduction of the bacterial population size. Thus, kinetic fingerprinting can be used to infer phage&ndash, host interactions and to explore emergent dynamics which facilitates a rational design of phage therapies.
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- 2020
34. Enhanced production of strange baryons in high-energy nuclear collisions from a multiphase transport model
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Che Ming Ko, Jing-Han Chen, Tianhao Shao, and Zi-Wei Lin
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Physics ,High energy ,Particle physics ,Large Hadron Collider ,Nuclear Theory ,High Energy Physics::Phenomenology ,Hadron ,FOS: Physical sciences ,Strangeness ,High multiplicity ,Nuclear Theory (nucl-th) ,Baryon ,High Energy Physics::Experiment ,Nuclear Experiment (nucl-ex) ,Multiplicity (chemistry) ,Nuclear Experiment ,Nuclear theory - Abstract
We introduce additional coalescence factors for the production of strange baryons in a multiphase transport (AMPT) model in order to describe the enhanced production of multistrange hadrons observed in Pb-Pb collisions at $\rm \sqrt{s_{NN}}$ = 2.76 TeV at the Large hadron Collider (LHC) and Au+Au collisions at $\rm \sqrt{s_{NN}}$ = 200 GeV at Relativistic Heavy-Ion Collider (RHIC).This extended AMPT model is found to also give a reasonable description of the multiplicity dependence of the strangeness enhancement observed in high multiplicity events in $pp$ collisions at $\rm \sqrt{s}$ = 7 TeV and $p$-Pb collisions at $\rm \sqrt{s_{NN}}$ = 5.02 TeV. We find that the coalescence factors depend on the system size but not much on whether the system is produced from A+A or p+A collisions. The extended AMPT model thus provides a convenient way to model the mechanism underlying the observed strangeness enhancement in collisions of both small and large systems at RHIC and LHC energies., 15 pages, 5 figures
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- 2020
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35. Heavy quarkonium in the saturated environment of high-multiplicity <math><mi>p</mi><mi>p</mi></math> collisions
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Irina Potashnikova, Ivan Schmidt, Klaus Johannes Reygers, H.J. Pirner, and Boris Kopeliovich
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Physics ,Particle physics ,Hadron ,FOS: Physical sciences ,Multiplicity (mathematics) ,Parton ,High multiplicity ,Quarkonium ,Computer Science::Digital Libraries ,High Energy Physics - Phenomenology ,High Energy Physics - Phenomenology (hep-ph) ,High Energy Physics::Experiment ,Saturation (chemistry) ,Nuclear Experiment ,Production rate - Abstract
High-multiplicity pp collisions exhibit features, traditionally associated with nuclear effects. Coherence motivates to treat high-multiplicity pp, pA and AA collisions on an equal footing. We rely on the phenomenological parametrization for mean multiplicities of light hadrons and J/psi, assuming their linear dependence on N_{coll} in pA collisions. The results of this approach underestimate the recently measured production rate of J/psi at very high hadronic multiplicities. The linear dependence of J/psi multiplicity on N_{coll} is subject to predicted nonlinear corrections, related to mutual boosting of the saturation scales in colliding dense parton clouds. A parameter-free calculation of the non-linear corrections allows to explain data for pT-integrated yield of J/psi at high hadronic multiplicities. Calculations are in a good accord with data binned in several pT-intervals as well. As was predicted, Upsilon and J/psi are equally suppressed at forward rapidities in pA collisions. Consequently, their fractional multiplicities at forward rapidities in pp collisions are equal as well, and their magnitude agrees with data., 6 pages, 4 figures, 2 references added
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- 2020
36. Basal cell carcinoma: an emerging epidemic in women in Iceland
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Elinborg J Olafsdottir, A.K. Kristjansson, Jane M. Grant-Kels, Jonathan Ungar, Jonas A. Adalsteinsson, Laufey Tryggvadottir, Jonathan I. Silverberg, Désirée Ratner, and Jon G. Jonasson
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Male ,Skin Neoplasms ,Ultraviolet Rays ,Population ,Iceland ,Dermatology ,High multiplicity ,Travel abroad ,030207 dermatology & venereal diseases ,03 medical and health sciences ,0302 clinical medicine ,Medicine ,Humans ,Basal cell carcinoma ,education ,Epidemics ,education.field_of_study ,business.industry ,Incidence (epidemiology) ,Incidence ,medicine.disease ,Confidence interval ,Cancer registry ,Europe ,Observed Incidence ,Carcinoma, Basal Cell ,Female ,business ,Demography - Abstract
Background An epidemic of basal cell carcinoma (BCC) has led to a significant healthcare burden in white populations. Objectives To provide an update on incidence rates and tumour burden in an unselected, geographically isolated population that is exposed to a low level of ultraviolet radiation. Methods This was a whole-population study using a cancer registry containing records of all cases of BCC in 1981-2017. We assessed BCC incidence according to age, residence and multiplicity and assessed trends using join-point analysis. Age-standardized and age-specific incidence rates were calculated along with cumulative and lifetime risks. Results During the study period, the age-standardized incidence rates increased from 25·7 to 59·9 for men, and from 22·2 to 83·1 for women (per 100 000). Compared with the single-tumour burden, the total tumour burden in the population was 1·72 times higher when accounting for multiplicity. At the beginning of the study period, the world-standardized rates in men and women were similar, but by the end of the study period the rates were 39% higher in women (83·1 per 100 000, 95% confidence interval 77·9-88·3) than in men (59·9 per 100 000, 95% confidence interval 55·6-64·2). This increase was most prominent in women on sites that are normally not exposed to ultraviolet radiation in Iceland: the trunk and legs. Conclusions This is the only reported population in which the incidence of BCC is significantly higher in women than in men. The period of notable increase in BCC lesions correlates with the period of an increase in tanning beds and travel popularity. The high multiplicity rates suggest that the total tumour burden worldwide might be higher than previously thought. What is already known about this topic? Basal cell carcinoma (BCC) is becoming an increasing healthcare burden worldwide, especially in white populations. Recent population studies have reported a rapid increase in incidence among younger individuals, especially women. What does this study add? Iceland is the only reported population in which the incidence of BCC is significantly higher in women than in men, and there does not seem to be a clear relationship between latitude and BCC incidence in Europe. Men might be comparatively protected in the northern low-ultraviolet environment, with tanning beds and travel abroad likely playing important roles in the observed incidence increase, especially in women. The high multiplicity rates suggest that the total tumour burden worldwide might be higher than previously thought. Linked Comment: Pandeya. Br J Dermatol 2020; 183:799-800.
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- 2020
37. Study of charged-particle multiplicity fluctuations in pp collisions with Monte Carlo event generators at the LHC
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A. H. El-Farrash, A. De Roeck, E. Shokr, and M. A. Mahmoud
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Physics ,Nuclear and High Energy Physics ,Large Hadron Collider ,hep-ex ,010308 nuclear & particles physics ,Monte Carlo method ,General Physics and Astronomy ,FOS: Physical sciences ,High multiplicity ,01 natural sciences ,Charged particle ,High Energy Physics - Experiment ,Nuclear physics ,High Energy Physics - Experiment (hep-ex) ,Minimum bias ,0103 physical sciences ,Quark–gluon plasma ,High Energy Physics::Experiment ,Multiplicity (chemistry) ,010306 general physics ,Nuclear Experiment ,Particle Physics - Experiment - Abstract
Proton-Proton ($pp$) collisions at the Large Hadron Collider (LHC) are simulated in order to study events with a high local density of charged particles produced in narrow pseudorapidty windows of $\Delta\eta$ = 0.1, 0.2, and 0.5. The $pp$ collisions are generated at center of mass energies of $\sqrt{s} = 2.36$, $7$, $8$, and $13$ TeV, i.e. the energies at which the LHC has operated so far, using PYTHIA and HERWIG event generators. We have also studied the average of the maximum charged-particle density versus the event multiplicity for all events, using the different pseudorapidity windows. This study prepares for the multi-particle production background expected in a future search for anomalous high-density multiplicity fluctuations using the LHC data., Comment: 15 pages, 5 figures, submitted to International Journal of Modern Physics E
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- 2020
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38. Measurement of long-range correlations in pp collisions at $\sqrt{s}=$ 13 TeV with ALICE at the LHC
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Jun Lee Kim
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Event trigger ,Physics ,Particle physics ,Large Hadron Collider ,Pseudorapidity ,Transverse momentum ,Small systems ,Heavy ion ,Nuclear Physics - Experiment ,High multiplicity ,Nuclear Experiment ,Particle Physics - Experiment - Abstract
The observed azimuthal modulations of long-range correlations in pseudorapidity in small systems like pp or p-Pb collisions show strikingly similar features to those seen in heavy ion collisions. Many theoretical approaches to interpreting this effect have been developed. However, it is still unclear whether these long-range correlations are due to final or initial state effects. To further investigate these effects, we studied long-range correlations as a function of transverse momentum in very high multiplicity pp collisions at $\sqrt{s} =13$ TeV, collected with the high multiplicity event trigger during 2016 and 2017 with ALICE. In this talk, we present the near-side per-trigger yield at large pseudorapidity separation (ridge yield) as a function of transverse momentum in pp collisions at $\sqrt{s} =13$ TeV. The results are compared to previous measurements from CMS and ATLAS experiments. In addition, we present the ridge yield in events where harder fragmentation processes are present, to explore possible physical origins of long-range correlations.
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- 2020
39. Virtual immunofluorescence staining from reflectance microscopy by deep learning
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Shiyi Cheng, Sipei Fu, Yumi Mun Kim, Ji Yi, and Lei Tian
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Materials science ,medicine.diagnostic_test ,Artificial neural network ,business.industry ,Deep learning ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,02 engineering and technology ,High multiplicity ,Immunofluorescence staining ,021001 nanoscience & nanotechnology ,Immunofluorescence ,01 natural sciences ,Reflectivity ,Focus stacking ,010309 optics ,0103 physical sciences ,Microscopy ,medicine ,Artificial intelligence ,0210 nano-technology ,business ,Biomedical engineering - Abstract
A computational alternative to standard immunofluorescence (IF) imaging based on deep learning model is proposed for transforming morphological information from reflectance microscopy to specific and accurate IF predictions with high multiplicity.
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- 2020
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40. High-multiplicity muon events observed with EMMA array
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Jari Joutsenvaara, Pasi Kuusiniemi, L. B. Bezrukov, Bayarto Lubsandorzhiev, Maciej Slupecki, Timo Enqvist, Kai Loo, Wladyslaw Henryk Trzaska, and L. V. Inzhechik
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Physics ,Nuclear physics ,History ,Muon ,Physics::Instrumentation and Detectors ,astrofysiikka ,hiukkasfysiikka ,High multiplicity ,kosminen säteily ,Computer Science Applications ,Education - Abstract
High-multiplicity data, collected with a segmented scintillator array of the cosmic-ray experiment EMMA (Experiment with Multi-Muon Array), is presented for the first time. The measurements were done at the depth of 75 meters (210 m.w.e.) in the Pyhäsalmi mine in Finland. EMMA uses two types of detectors: drift chambers and plastic scintillation detectors. The presented data were acquired over the period between December, 2015 and April, 2018 using 128-800 plastic scintillator pixels probing the fiducial area of ˜100 m2. The results are being interpreted in terms of CORSIKA simulations. Several events with densities in excess of 10 muons per m2 were observed. At the next stage of the analysis, the high-multiplicity events will be matched with precision tracking data extracted from the multi-layer drift chambers of EMMA. Observation of high-density muon bundles was first reported by the LEP experiments: DELPHI, L3+C, and ALEPH. More recently, the ALICE experiment at CERN has provided new cosmic-ray results together with improved interpretation benefiting from the updated cross section values extracted from LHC results. While the tracking performance of ALICE is superior to EMMA, the duration of ALICE cosmic-ray measurements is very limited. Over the period of 2010–2018 the total exposure was only 93 days while EMMA, having a similar overburden provides a larger footprint and collects data continuously.
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- 2020
41. Search for a common baryon source in high-multiplicity pp collisions at the LHC
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Acharya, S., Adamova, D., Adler, A., Adolfsson, J., Aggarwal, M. M., Rinella, G. Aglieri, Agnello, M., Agrawal, N., Ahammed, Z., Ahmad, S., Ahn, S. U., Akbar, Z., Akindinov, A., Al-Turany, M., Alam, S. N., Albuquerque, D. S. D., Aleksandrov, D., Alessandro, B., Alfanda, H. M., Alfaro Molina, R., Ali, B., Ali, Y., Alici, A., Alkin, A., Alme, J., Alt, T., Altenkamper, L., Altsybeev, I, Anaam, M. N., Andrei, C., Andreou, D., Andrews, H. A., Andronic, A., Angeletti, M., Anguelov, V, Anson, C., Anticic, T., Antinori, F., Antonioli, P., Apadula, N., Aphecetche, L., Appelshaeuser, H., Arcelli, S., Arnaldi, R., Arratia, M., Arsene, I. C., Arslandok, M., Augustinus, A., Averbeck, R., Aziz, S., Azmi, M. D., Badala, A., Baek, Y. W., Bagnasco, S., Bai, X., Bailhache, R., Bala, R., Balbino, A., Baldisseri, A., Ball, M., Balouza, S., Banerjee, D., Barbera, R., Barioglio, L., Barnafoldi, G. G., Barnby, L. S., Barret, V, Bartalini, P., Barth, K., Bartsch, E., Baruffaldi, F., Bastid, N., Basu, S., Batigne, G., Batyunya, B., Bauri, D., Alba, J. L. Bazo, Bearden, I. G., Beattie, C., Bedda, C., Behera, N. K., Belikov, I, Hechavarria, A. D. C. Bell, Bellini, F., Bellwied, R., Belyaev, V, Bencedi, G., Beole, S., Bercuci, A., Berdnikov, Y., Berenyi, D., Bertens, R. A., Berzano, D., Besoiu, M. G., Betev, L., Bhasin, A., Bhat, I. R., Bhat, M. A., Bhatt, H., Bhattacharjee, B., Bianchi, A., Bianchi, L., Bianchi, N., Bielcik, J., Bielcikova, J., Bilandzic, A., Biro, G., Biswas, R., Biswas, S., Blair, J. T., Blau, D., Blume, C., Boca, G., Bock, F., Bogdanov, A., Boi, S., Bok, J., Boldizsar, L., Bolozdynya, A., Bombara, M., Bonomi, G., Borel, H., Borissov, A., Bossi, H., Botta, E., Bratrud, L., Braun-Munzinger, P., Bregant, M., Broz, M., Bruna, E., Bruno, G. E., Buckland, M. D., Budnikov, D., Buesching, H., Bufalino, S., Bugnon, O., Buhler, P., Buncic, P., Buthelezi, Z., Butt, J. B., Bysiak, S. A., Caffarri, D., Caliva, A., Calvo Villar, E., Camacho, R. S., Camerini, P., Capon, A. A., Carnesecchi, F., Caron, R., Castellanos, J. Castillo, Castro, A. J., Casula, E. A. R., Catalano, F., Sanchez, C. Ceballos, Chakraborty, P., Chandra, S., Chang, W., Chapeland, S., Chartier, M., Chattopadhyay, S., Chauvin, A., Cheshkov, C., Cheynis, B., Barroso, V. Chibante, Chinellato, D. D., Cho, S., Chochula, P., Chowdhury, T., Christakoglou, P., Christensen, C. H., Christiansen, P., Chujo, T., Cicalo, C., Cifarelli, L., Cindolo, F., Clai, G., Cleymans, J., Colamaria, F., Colella, D., Collu, A., Colocci, M., Concas, M., Balbastre, G. Conesa, del Valle, Z. Conesa, Contin, G., Contreras, J. G., Cormier, T. M., Morales, Y. Corrales, Cortese, P., Cosentino, M. R., Costa, F., Costanza, S., Crochet, P., Cuautle, E., Cui, P., Cunqueiro, L., Dabrowski, D., Dahms, T., Dainese, A., Damas, F. P. A., Danisch, M. C., Danu, A., Das, D., Das, I, Das, R., Das, S., Dash, A., Dash, S., De, S., De Caro, A., de Cataldo, G., de Cuveland, J., De Falco, A., De Gruttola, D., De Marco, N., De Pasquale, S., Deb, S., Degenhardt, H. F., Deja, K. R., Deloff, A., Delsanto, S., Deng, W., Devetak, D., Dhankher, P., Di Bari, D., Di Mauro, A., Diaz, R. A., Dietel, T., Dillenseger, P., Ding, Y., Divia, R., Dixit, D. U., Djuvsland, O., Dmitrieva, U., Dobrin, A., Donigus, B., Dordic, O., Dubey, A. K., Dubla, A., Dudi, S., Dukhishyam, M., Dupieux, P., Ehlers, R. J., Eikeland, V. N., Elia, D., Epple, E., Erazmus, B., Erhardt, F., Erokhin, A., Ersdal, M. R., Espagnon, B., Eulisse, G., Evans, D., Evdokimov, S., Fabbietti, L., Faggin, M., Faivre, J., Fan, F., Fantoni, A., Fasel, M., Fecchio, P., Feliciello, A., Feofilov, G., Fernandez Tellez, A., Ferrero, A., Ferretti, A., Festanti, A., Feuillard, V. J. G., Figiel, J., Filchagin, S., Finogeev, D., Fionda, F. M., Fiorenza, G., Flor, F., Flores, A. N., Foertsch, S., Foka, P., Fokin, S., Fragiacomo, E., Frankenfeld, U., Fuchs, U., Furget, C., Furs, A., Girard, M. Fusco, Gaardhoje, J. J., Gagliardi, M., Gago, A. M., Gal, A., Galvan, C. D., Ganoti, P., Garabatos, C., Garcia-Solis, E., Garg, K., Gargiulo, C., Garibli, A., Garner, K., Gasik, P., Gauger, E. F., Ducati, M. B. Gay, Germain, M., Ghosh, J., Ghosh, P., Ghosh, S. K., Giacalone, M., Gianotti, P., Giubellino, P., Giubilato, P., Glassel, P., Ramirez, A. Gomez, Gonzalez, V, Gonzalez-Trueba, L. H., Gorbunov, S., Gorlich, L., Goswami, A., Gotovac, S., Grabski, V, Graczykowski, L. K., Graham, K. L., Greiner, L., Grelli, A., Grigoras, C., Grigoriev, V, Grigoryan, A., Grigoryan, S., Groettvik, O. S., Grosa, F., Grosse-Oetringhaus, J. F., Grosso, R., Guernane, R., Guittiere, M., Gulbrandsen, K., Gunji, T., Gupta, A., Gupta, R., Guzman, I. B., Haake, R., Habib, M. K., Hadjidakis, C., Hamagaki, H., Hamar, G., Hamid, M., Hannigan, R., Haque, M. R., Harlenderova, A., Harris, J. W., Harton, A., Hasenbichler, J. A., Hassan, H., Hatzifotiadou, D., Hauer, P., Havener, L. B., Hayashi, S., Heckel, S. T., Hellbar, E., Helstrup, H., Herghelegiu, A., Herman, T., Hernandez, E. G., Herrera Corral, G., Herrmann, F., Hetland, K. F., Hillemanns, H., Hills, C., Hippolyte, B., Hohlweger, B., Honermann, J., Horak, D., Hornung, A., Hornung, S., Hosokawa, R., Hristov, P., Huang, C., Hughes, C., Huhn, P., Humanic, T. J., Hushnud, H., Husova, L. A., Hussain, N., Hussain, S. A., Hutter, D., Iddon, J. P., Ilkaev, R., Ilyas, H., Inaba, M., Innocenti, G. M., Ippolitov, M., Isakov, A., Islam, M. S., Ivanov, M., Ivanov, V, Izucheev, V, Jacak, B., Jacazio, N., Jacobs, P. M., Jadlovska, S., Jadlovsky, J., Jaelani, S., Jahnke, C., Jakubowska, M. J., Janik, M. A., Janson, T., Jercic, M., Jevons, O., Jin, M., Jonas, F., Jones, P. G., Jung, J., Jung, M., Jusko, A., Kalinak, P., Kalweit, A., Kaplin, V, Kar, S., Uysal, A. Karasu, Karavichev, O., Karavicheva, T., Karczmarczyk, P., Karpechev, E., Kebschull, U., Keidel, R., Keil, M., Ketzer, B., Khabanova, Z., Khan, A. M., Khan, S., Khan, S. A., Khanzadeev, A., Kharlov, Y., Khatun, A., Khuntia, A., Kileng, B., Kim, B., Kim, D., Kim, D. J., Kim, E. J., Kim, H., Kim, J., Kim, J. S., Kim, M., Kim, S., Kim, T., Kirsch, S., Kisel, I, Kiselev, S., Kisiel, A., Klay, J. L., Klein, C., Klein, J., Klein, S., Klein-Bosing, C., Kleiner, M., Kluge, A., Knichel, M. L., Knospe, A. G., Kobdaj, C., Kohler, M. K., Kollegger, T., Kondratyev, A., Kondratyeva, N., Kondratyuk, E., Konig, J., Konigstorfer, S. A., Konopka, P. J., Kornakov, G., Koska, L., Kovalenko, O., Kovalenko, V, Kowalski, M., Kralik, I, Kravcakova, A., Kreis, L., Krivda, M., Krizek, F., Gajdosova, K. Krizkova, Kruger, M., Kryshen, E., Krzewicki, M., Kubera, A. M., Kucera, V, Kuhn, C., Kuijer, P. G., Kumar, L., Kundu, S., Kurashvili, P., Kurepin, A., Kurepin, A. B., Kuryakin, A., Kushpil, S., Kvapil, J., Kweon, M. J., Kwon, J. Y., Kwon, Y., La Pointe, S. L., La Rocca, P., Lai, Y. S., Langoy, R., Lapidus, K., Lardeux, A., Larionov, P., Laudi, E., Lavicka, R., Lazareva, T., Lea, R., Leardini, L., Lee, J., Lee, S., Lehas, F., Lehner, S., Lehrbach, J., Lemmon, R. C., Monzon, I. Leon, Lesser, E. D., Lettrich, M., Levai, P., Li, X., X. L., Li, Lien, J., Lietava, R., Lim, B., Lindenstruth, V, Lindner, A., Lindsay, S. W., Lippmann, C., Lisa, M. A., Liu, A., Liu, J., Liu, S., Llope, W. J., Lofnes, I. M., Loginov, V, Loizides, C., Loncar, P., Lopez, J. A., Lopez, X., Torres, E. Lopez, Luhder, J. R., Lunardon, M., Luparello, G., Maevskaya, A., Mager, M., Mahmood, S. M., Mahmoud, T., Maire, A., Majka, R. D., Malaev, M., Malik, Q. W., Malinina, L., Mal'Kevich, D., Malzacher, P., Mandaglio, G., Manko, V, Manso, F., Manzari, V, Marchisone, M., Mares, J., Margagliotti, G., V, Margotti, A., Margutti, J., Marin, A., Markert, C., Marquard, M., Martin, C. D., Martin, N. A., Martinengo, P., Martinez, J. L., Martinez, M., I, Garcia, G. Martinez, Masciocchi, S., Masera, M., Masoni, A., Massacrier, L., Masson, E., Mastroserio, A., Mathis, A. M., Matonoha, O., Matuoka, P. F. T., Matyja, A., Mayer, C., Mazzaschi, F., Mazzilli, M., Mazzoni, M. A., Mechler, A. F., Meddi, F., Melikyan, Y., Menchaca-Rocha, A., Mengke, C., Meninno, E., Meres, M., Mhlanga, S., Miake, Y., Micheletti, L., Migliorin, L. C., Mihaylov, D. L., Mikhaylov, K., Mishra, A. N., Miskowiec, D., Modak, A., Mohammadi, N., Mohanty, A. P., Mohanty, B., Khan, M. Mohisin, Moravcova, Z., Mordasini, C., De Godoy, D. A. Moreira, Moreno, L. A. P., Morozov, I, Morsch, A., Mrnjavac, T., Muccifora, V, Mudnic, E., Muehlheim, D., Muhuri, S., Mulligan, J. D., Munhoz, M. G., Munzer, R. H., Murakami, H., Murray, S., Musa, L., Musinsky, J., Myers, C. J., Myrcha, J. W., Naik, B., Nair, R., Nandi, B. K., Nania, R., Nappi, E., Naru, M. U., Nassirpour, A. F., Nattrass, C., Nayak, R., Nayak, T. K., Nazarenko, S., Neagu, A., De Oliveira, R. A. Negrao, Nellen, L., Nesbo, S., Neskovic, G., Nesterov, D., Neumann, L. T., Nielsen, B. S., Nikolaev, S., Nikulin, S., Nikulin, V, Noferini, F., Nomokonov, P., Norman, J., Novitzky, N., Nowakowski, P., Nyanin, A., Nystrand, J., Ogino, M., Ohlson, A., Oleniacz, J., Da Silva, A. C. Oliveira, Oliver, M. H., Oppedisano, C., Velasquez, A. Ortiz, Oskarsson, A., Otwinowski, J., Oyama, K., Pachmayer, Y., Pacik, V, Pagano, D., Paico, G., Pan, J., Panebianco, S., Pareek, P., Park, J., Parkkila, J. E., Parmar, S., Pathak, S. P., Paul, B., Pei, H., Peitzmann, T., Peng, X., Pereira, L. G., Da Costa, H. Pereira, Peresunko, D., Perez, G. M., Pestov, Y., Petracek, V, Petrovici, M., Pezzi, R. P., Piano, S., Pikna, M., Pillot, P., Pinazza, O., Pinsky, L., Pinto, C., Pisano, S., Pistone, D., Ploskon, M., Planinic, M., Pliquett, F., Poghosyan, M. G., Polichtchouk, B., Poljak, N., Pop, A., Porteboeuf-Houssais, S., Pozdniakov, V, Prasad, S. K., Preghenella, R., Prino, F., Pruneau, C. A., Pshenichnov, I, Puccio, M., Putschke, J., Qiu, S., Quaglia, L., Quishpe, R. E., Ragoni, S., Raha, S., Rajput, S., Rak, J., Rakotozafindrabe, A., Ramello, L., Rami, F., Ramirez, S. A. R., Raniwala, R., Raniwala, S., Rasanen, S. S., Rath, R., Ratza, V, Ravasenga, I, Read, K. F., Redelbach, A. R., Redlich, K., Rehman, A., Reichelt, P., Reidt, F., Ren, X., Renfordt, R., Rescakova, Z., Reygers, K., Riabov, V, Richert, T., Richter, M., Riedler, P., Riegler, W., Riggi, F., Ristea, C., Rode, S. P., Rodriguez Cahuantzi, M., Roed, K., Rogalev, R., Rogochaya, E., Rohr, D., Rohrich, D., Rokita, P. S., Ronchetti, F., Rosano, A., Rosas, E. D., Roslon, K., Rossi, A., Rotondi, A., Roy, A., Roy, P., Rueda, O., Rui, R., Rumyantsev, B., Rustamov, A., Ryabinkin, E., Ryabov, Y., Rybicki, A., Rytkonen, H., Saarimaki, O. A. M., Sadhu, S., Sadovsky, S., Safarik, K., Saha, S. K., Sahoo, B., Sahoo, P., Sahoo, R., Sahoo, S., Sahu, P. K., Saini, J., Sakai, S., Sambyal, S., Samsonov, V, Sarkar, D., Sarkar, N., Sarma, P., Sarti, V. M., Sas, M. H. P., Scapparone, E., Schambach, J., Scheid, H. S., Schiaua, C., Schicker, R., Schmah, A., Schmidt, C., Schmidt, H. R., Schmidt, M. O., Schmidt, M., Schmidt, N., Schmier, A. R., Schukraft, J., Schutz, Y., Schwarz, K., Schweda, K., Scioli, G., Scomparin, E., Seger, J. E., Sekiguchi, Y., Sekihata, D., Selyuzhenkov, I, Senyukov, S., Serebryakov, D., Sevcenco, A., Shabanov, A., Shabetai, A., Shahoyan, R., Shaikh, W., Shangaraev, A., Sharma, A., Sharma, H., Sharma, M., Sharma, N., Sharma, S., Shigaki, K., Shimomura, M., Shirinkin, S., Shou, Q., Sibiriak, Y., Siddhanta, S., Siemiarczuk, T., Silvermyr, D., Simatovic, G., Simonetti, G., Singh, B., Singh, R., Singh, V. K., Singhal, V, Sinha, T., Sitar, B., Sitta, M., Skaali, T. B., Slupecki, M., Smirnov, N., Snellings, R. J. M., Soncco, C., Song, J., Songmoolnak, A., Soramel, F., Sorensen, S., Sputowska, I, Stachel, J., Stan, I, Steffanic, P. J., Stenlund, E., Stiefelmaier, S. F., Stocco, D., Storetvedt, M. M., Stritto, L. D., Suaide, A. A. P., Sugitate, T., Suire, C., Suleymanov, M., Suljic, M., Sultanov, R., Sumbera, M., Sumberia, V, Sumowidagdo, S., Swain, S., Szabo, A., Szarka, I, Tabassam, U., Taghavi, S. F., Taillepied, G., Takahashi, J., Tambave, G. J., Tang, S., Tarhini, M., Tarzila, M. G., Tauro, A., Tejeda Munoz, G., Telesca, A., Terlizzi, L., Terrevoli, C., Thakur, D., Thakur, S., Thomas, D., Thoresen, F., Tieulent, R., Tikhonov, A., Timmins, A. R., Toia, A., Topilskaya, N., Toppi, M., Torales-Acosta, F., Torres, S. R., Trifiro, A., Tripathy, S., Tripathy, T., Trogolo, S., Trombetta, G., Tropp, L., Trubnikov, V, Trzaska, W. H., Trzcinski, T. P., Trzeciak, B. A., Tumkin, A., Turrisi, R., Tveter, T. S., Ullaland, K., Umaka, E. N., Uras, A., Usai, G. L., Vala, M., Valle, N., Vallero, S., van der Kolk, N., van Doremalen, L. V. R., van Leeuwen, M., Vande Vyvre, P., Varga, D., Varga, Z., Varga-Kofarago, M., Vargas, A., Vasileiou, M., Vasiliev, A., Doce, O. Vazquez, Vechernin, V., Vercellin, E., Vergara Limon, S., Vermunt, L., Vernet, R., Vertesi, R., Vickovic, L., Vilakazi, Z., Baillie, O. Villalobos, Vino, G., Vinogradov, A., Virgili, T., Vislavicius, V., Vodopyanov, A., Volkel, B., Voelkl, M. A., Voloshin, K., Voloshin, S. A., Volpe, G., von Haller, B., Vorobyev, I, Voscek, D., Vrlakova, J., Wagner, B., Weber, M., Wegrzynek, A., Wenzel, S. C., Wessels, J. P., Wiechula, J., Wikne, J., Wilk, G., Wilkinson, J., Willems, G. A., Willsher, E., Windelband, B., Winn, M., Witt, W. E., Wright, J. R., Wu, Y., Xu, R., Yalcin, S., Yamaguchi, Y., Yamakawa, K., Yang, S., Yano, S., Yin, Z., Yokoyama, H., Yoo, I-K, Yoon, J. H., Yuan, S., Yuncu, A., Yurchenko, V, Zaccolo, V, Zaman, A., Zampolli, C., Zanoli, H. J. C., Zardoshti, N., Zarochentsev, A., Zavada, P., Zaviyalov, N., Zbroszczyk, H., Zhalov, M., Zhang, S., Zhang, X., Zhang, Z., Zherebchevskii, V, Zhou, D., Zhou, Y., Zhou, Z., Zhu, J., Zhu, Y., Zichichi, A., Zinovjev, G., Zurlo, N., Laboratoire de physique subatomique et des technologies associées (SUBATECH), Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Université de Nantes (UN)-Université de Nantes (UN)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Institut de Physique Nucléaire d'Orsay (IPNO), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Sud - Paris 11 (UP11), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Laboratoire de Physique de Clermont (LPC), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA), Institut Pluridisciplinaire Hubert Curien (IPHC), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Institut de Physique Nucléaire de Lyon (IPNL), Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Laboratoire de Physique Subatomique et de Cosmologie (LPSC), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), Centre de Calcul de l'IN2P3 (CC-IN2P3), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), ALICE, Helsinki Institute of Physics, Sub Subatomic Physics (SAP), Afd Subatomic Physics (SAP), Sub Algemeen Physics Education, Subatomic Physics, Université de Nantes (UN)-Université de Nantes (UN)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Université Paris-Sud - Paris 11 (UP11)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Acharya S., Adamova D., Adler A., Adolfsson J., Aggarwal M.M., Aglieri Rinella G., Agnello M., Agrawal N., Ahammed Z., Ahmad S., Ahn S.U., Akbar Z., Akindinov A., Al-Turany M., Alam S.N., Albuquerque D.S.D., Aleksandrov D., Alessandro B., Alfanda H.M., Alfaro Molina R., Ali B., Ali Y., Alici A., Alkin A., Alme J., Alt T., Altenkamper L., Altsybeev I., Anaam M.N., Andrei C., Andreou D., Andrews H.A., Andronic A., Angeletti M., Anguelov V., Anson C., Anticic T., Antinori F., Antonioli P., Apadula N., Aphecetche L., Appelshauser H., Arcelli S., Arnaldi R., Arratia M., Arsene I.C., Arslandok M., Augustinus A., Averbeck R., Aziz S., Azmi M.D., Badala A., Baek Y.W., Bagnasco S., Bai X., Bailhache R., Bala R., Balbino A., Baldisseri A., Ball M., Balouza S., Banerjee D., Barbera R., Barioglio L., Barnafoldi G.G., Barnby L.S., Barret V., Bartalini P., Barth K., Bartsch E., Baruffaldi F., Bastid N., Basu S., Batigne G., Batyunya B., Bauri D., Bazo Alba J.L., Bearden I.G., Beattie C., Bedda C., Behera N.K., Belikov I., Bell Hechavarria A.D.C., Bellini F., Bellwied R., Belyaev V., Bencedi G., Beole S., Bercuci A., Berdnikov Y., Berenyi D., Bertens R.A., Berzano D., Besoiu M.G., Betev L., Bhasin A., Bhat I.R., Bhat M.A., Bhatt H., Bhattacharjee B., Bianchi A., Bianchi L., Bianchi N., Bielcik J., Bielcikova J., Bilandzic A., Biro G., Biswas R., Biswas S., Blair J.T., Blau D., Blume C., Boca G., Bock F., Bogdanov A., Boi S., Bok J., Boldizsar L., Bolozdynya A., Bombara M., Bonomi G., Borel H., Borissov A., Bossi H., Botta E., Bratrud L., Braun-Munzinger P., Bregant M., Broz M., Bruna E., Bruno G.E., Buckland M.D., Budnikov D., Buesching H., Bufalino S., Bugnon O., Buhler P., Buncic P., Buthelezi Z., Butt J.B., Bysiak S.A., Caffarri D., Caliva A., Calvo Villar E., Camacho R.S., Camerini P., Capon A.A., Carnesecchi F., Caron R., Castillo Castellanos J., Castro A.J., Casula E.A.R., Catalano F., Ceballos Sanchez C., Chakraborty P., Chandra S., Chang W., Chapeland S., Chartier M., Chattopadhyay S., Chauvin A., Cheshkov C., Cheynis B., Chibante Barroso V., Chinellato D.D., Cho S., Chochula P., Chowdhury T., Christakoglou P., Christensen C.H., Christiansen P., Chujo T., Cicalo C., Cifarelli L., Cindolo F., Clai G., Cleymans J., Colamaria F., Colella D., Collu A., Colocci M., Concas M., Conesa Balbastre G., Conesa del Valle Z., Contin G., Contreras J.G., Cormier T.M., Corrales Morales Y., Cortese P., Cosentino M.R., Costa F., Costanza S., Crochet P., Cuautle E., Cui P., Cunqueiro L., Dabrowski D., Dahms T., Dainese A., Damas F.P.A., Danisch M.C., Danu A., Das D., Das I., Das P., Das S., Dash A., Dash S., De S., De Caro A., de Cataldo G., de Cuveland J., De Falco A., De Gruttola D., De Marco N., De Pasquale S., Deb S., Degenhardt H.F., Deja K.R., Deloff A., Delsanto S., Deng W., Devetak D., Dhankher P., Di Bari D., Di Mauro A., Diaz R.A., Dietel T., Dillenseger P., Ding Y., Divia R., Dixit D.U., Djuvsland O., Dmitrieva U., Dobrin A., Donigus B., Dordic O., Dubey A.K., Dubla A., Dudi S., Dukhishyam M., Dupieux P., Ehlers R.J., Eikeland V.N., Elia D., Epple E., Erazmus B., Erhardt F., Erokhin A., Ersdal M.R., Espagnon B., Eulisse G., Evans D., Evdokimov S., Fabbietti L., Faggin M., Faivre J., Fan F., Fantoni A., Fasel M., Fecchio P., Feliciello A., Feofilov G., Fernandez Tellez A., Ferrero A., Ferretti A., Festanti A., Feuillard V.J.G., Figiel J., Filchagin S., Finogeev D., Fionda F.M., Fiorenza G., Flor F., Flores A.N., Foertsch S., Foka P., Fokin S., Fragiacomo E., Frankenfeld U., Fuchs U., Furget C., Furs A., Fusco Girard M., Gaardhoje J.J., Gagliardi M., Gago A.M., Gal A., Galvan C.D., Ganoti P., Garabatos C., Garcia-Solis E., Garg K., Gargiulo C., Garibli A., Garner K., Gasik P., Gauger E.F., Gay Ducati M.B., Germain M., Ghosh J., Ghosh P., Ghosh S.K., Giacalone M., Gianotti P., Giubellino P., Giubilato P., Glassel P., Gomez Ramirez A., Gonzalez V., Gonzalez-Trueba L.H., Gorbunov S., Gorlich L., Goswami A., Gotovac S., Grabski V., Graczykowski L.K., Graham K.L., Greiner L., Grelli A., Grigoras C., Grigoriev V., Grigoryan A., Grigoryan S., Groettvik O.S., Grosa F., Grosse-Oetringhaus J.F., Grosso R., Guernane R., Guittiere M., Gulbrandsen K., Gunji T., Gupta A., Gupta R., Guzman I.B., Haake R., Habib M.K., Hadjidakis C., Hamagaki H., Hamar G., Hamid M., Hannigan R., Haque M.R., Harlenderova A., Harris J.W., Harton A., Hasenbichler J.A., Hassan H., Hatzifotiadou D., Hauer P., Havener L.B., Hayashi S., Heckel S.T., Hellbar E., Helstrup H., Herghelegiu A., Herman T., Hernandez E.G., Herrera Corral G., Herrmann F., Hetland K.F., Hillemanns H., Hills C., Hippolyte B., Hohlweger B., Honermann J., Horak D., Hornung A., Hornung S., Hosokawa R., Hristov P., Huang C., Hughes C., Huhn P., Humanic T.J., Hushnud H., Husova L.A., Hussain N., Hussain S.A., Hutter D., Iddon J.P., Ilkaev R., Ilyas H., Inaba M., Innocenti G.M., Ippolitov M., Isakov A., Islam M.S., Ivanov M., Ivanov V., Izucheev V., Jacak B., Jacazio N., Jacobs P.M., Jadlovska S., Jadlovsky J., Jaelani S., Jahnke C., Jakubowska M.J., Janik M.A., Janson T., Jercic M., Jevons O., Jin M., Jonas F., Jones P.G., Jung J., Jung M., Jusko A., Kalinak P., Kalweit A., Kaplin V., Kar S., Karasu Uysal A., Karavichev O., Karavicheva T., Karczmarczyk P., Karpechev E., Kebschull U., Keidel R., Keil M., Ketzer B., Khabanova Z., Khan A.M., Khan S., Khan S.A., Khanzadeev A., Kharlov Y., Khatun A., Khuntia A., Kileng B., Kim B., Kim D., Kim D.J., Kim E.J., Kim H., Kim J., Kim J.S., Kim M., Kim S., Kim T., Kirsch S., Kisel I., Kiselev S., Kisiel A., Klay J.L., Klein C., Klein J., Klein S., Klein-Bosing C., Kleiner M., Kluge A., Knichel M.L., Knospe A.G., Kobdaj C., Kohler M.K., Kollegger T., Kondratyev A., Kondratyeva N., Kondratyuk E., Konig J., Konigstorfer S.A., Konopka P.J., Kornakov G., Koska L., Kovalenko O., Kovalenko V., Kowalski M., Kralik I., Kravcakova A., Kreis L., Krivda M., Krizek F., Krizkova Gajdosova K., Kruger M., Kryshen E., Krzewicki M., Kubera A.M., Kucera V., Kuhn C., Kuijer P.G., Kumar L., Kundu S., Kurashvili P., Kurepin A., Kurepin A.B., Kuryakin A., Kushpil S., Kvapil J., Kweon M.J., Kwon J.Y., Kwon Y., La Pointe S.L., La Rocca P., Lai Y.S., Langoy R., Lapidus K., Lardeux A., Larionov P., Laudi E., Lavicka R., Lazareva T., Lea R., Leardini L., Lee J., Lee S., Lehas F., Lehner S., Lehrbach J., Lemmon R.C., Leon Monzon I., Lesser E.D., Lettrich M., Levai P., Li X., Li X.L., Lien J., Lietava R., Lim B., Lindenstruth V., Lindner A., Lindsay S.W., Lippmann C., Lisa M.A., Liu A., Liu J., Liu S., Llope W.J., Lofnes I.M., Loginov V., Loizides C., Loncar P., Lopez J.A., Lopez X., Lopez Torres E., Luhder J.R., Lunardon M., Luparello G., Ma Y.G., Maevskaya A., Mager M., Mahmood S.M., Mahmoud T., Maire A., Majka R.D., Malaev M., Malik Q.W., Malinina L., Mal'Kevich D., Malzacher P., Mandaglio G., Manko V., Manso F., Manzari V., Mao Y., Marchisone M., Mares J., Margagliotti G.V., Margotti A., Margutti J., Marin A., Markert C., Marquard M., Martin C.D., Martin N.A., Martinengo P., Martinez J.L., Martinez M.I., Martinez Garcia G., Masciocchi S., Masera M., Masoni A., Massacrier L., Masson E., Mastroserio A., Mathis A.M., Matonoha O., Matuoka P.F.T., Matyja A., Mayer C., Mazzaschi F., Mazzilli M., Mazzoni M.A., Mechler A.F., Meddi F., Melikyan Y., Menchaca-Rocha A., Mengke C., Meninno E., Meres M., Mhlanga S., Miake Y., Micheletti L., Migliorin L.C., Mihaylov D.L., Mikhaylov K., Mishra A.N., Miskowiec D., Modak A., Mohammadi N., Mohanty A.P., Mohanty B., Mohisin Khan M., Moravcova Z., Mordasini C., Moreira De Godoy D.A., Moreno L.A.P., Morozov I., Morsch A., Mrnjavac T., Muccifora V., Mudnic E., Muhlheim D., Muhuri S., Mulligan J.D., Munhoz M.G., Munzer R.H., Murakami H., Murray S., Musa L., Musinsky J., Myers C.J., Myrcha J.W., Naik B., Nair R., Nandi B.K., Nania R., Nappi E., Naru M.U., Nassirpour A.F., Nattrass C., Nayak R., Nayak T.K., Nazarenko S., Neagu A., Negrao De Oliveira R.A., Nellen L., Nesbo S.V., Neskovic G., Nesterov D., Neumann L.T., Nielsen B.S., Nikolaev S., Nikulin S., Nikulin V., Noferini F., Nomokonov P., Norman J., Novitzky N., Nowakowski P., Nyanin A., Nystrand J., Ogino M., Ohlson A., Oleniacz J., Oliveira Da Silva A.C., Oliver M.H., Oppedisano C., Ortiz Velasquez A., Oskarsson A., Otwinowski J., Oyama K., Pachmayer Y., Pacik V., Pagano D., Paic G., Pan J., Panebianco S., Pareek P., Park J., Parkkila J.E., Parmar S., Pathak S.P., Paul B., Pei H., Peitzmann T., Peng X., Pereira L.G., Pereira Da Costa H., Peresunko D., Perez G.M., Pestov Y., Petracek V., Petrovici M., Pezzi R.P., Piano S., Pikna M., Pillot P., Pinazza O., Pinsky L., Pinto C., Pisano S., Pistone D., Ploskon M., Planinic M., Pliquett F., Poghosyan M.G., Polichtchouk B., Poljak N., Pop A., Porteboeuf-Houssais S., Pozdniakov V., Prasad S.K., Preghenella R., Prino F., Pruneau C.A., Pshenichnov I., Puccio M., Putschke J., Qiu S., Quaglia L., Quishpe R.E., Ragoni S., Raha S., Rajput S., Rak J., Rakotozafindrabe A., Ramello L., Rami F., Ramirez S.A.R., Raniwala R., Raniwala S., Rasanen S.S., Rath R., Ratza V., Ravasenga I., Read K.F., Redelbach A.R., Redlich K., Rehman A., Reichelt P., Reidt F., Ren X., Renfordt R., Rescakova Z., Reygers K., Riabov V., Richert T., Richter M., Riedler P., Riegler W., Riggi F., Ristea C., Rode S.P., Rodriguez Cahuantzi M., Roed K., Rogalev R., Rogochaya E., Rohr D., Rohrich D., Rokita P.S., Ronchetti F., Rosano A., Rosas E.D., Roslon K., Rossi A., Rotondi A., Roy A., Roy P., Rueda O.V., Rui R., Rumyantsev B., Rustamov A., Ryabinkin E., Ryabov Y., Rybicki A., Rytkonen H., Saarimaki O.A.M., Sadhu S., Sadovsky S., Safarik K., Saha S.K., Sahoo B., Sahoo P., Sahoo R., Sahoo S., Sahu P.K., Saini J., Sakai S., Sambyal S., Samsonov V., Sarkar D., Sarkar N., Sarma P., Sarti V.M., Sas M.H.P., Scapparone E., Schambach J., Scheid H.S., Schiaua C., Schicker R., Schmah A., Schmidt C., Schmidt H.R., Schmidt M.O., Schmidt M., Schmidt N.V., Schmier A.R., Schukraft J., Schutz Y., Schwarz K., Schweda K., Scioli G., Scomparin E., Seger J.E., Sekiguchi Y., Sekihata D., Selyuzhenkov I., Senyukov S., Serebryakov D., Sevcenco A., Shabanov A., Shabetai A., Shahoyan R., Shaikh W., Shangaraev A., Sharma A., Sharma H., Sharma M., Sharma N., Sharma S., Shigaki K., Shimomura M., Shirinkin S., Shou Q., Sibiriak Y., Siddhanta S., Siemiarczuk T., Silvermyr D., Simatovic G., Simonetti G., Singh B., Singh R., Singh V.K., Singhal V., Sinha T., Sitar B., Sitta M., Skaali T.B., Slupecki M., Smirnov N., Snellings R.J.M., Soncco C., Song J., Songmoolnak A., Soramel F., Sorensen S., Sputowska I., Stachel J., Stan I., Steffanic P.J., Stenlund E., Stiefelmaier S.F., Stocco D., Storetvedt M.M., Stritto L.D., Suaide A.A.P., Sugitate T., Suire C., Suleymanov M., Suljic M., Sultanov R., Sumbera M., Sumberia V., Sumowidagdo S., Swain S., Szabo A., Szarka I., Tabassam U., Taghavi S.F., Taillepied G., Takahashi J., Tambave G.J., Tang S., Tarhini M., Tarzila M.G., Tauro A., Tejeda Munoz G., Telesca A., Terlizzi L., Terrevoli C., Thakur D., Thakur S., Thomas D., Thoresen F., Tieulent R., Tikhonov A., Timmins A.R., Toia A., Topilskaya N., Toppi M., Torales-Acosta F., Torres S.R., Trifiro A., Tripathy S., Tripathy T., Trogolo S., Trombetta G., Tropp L., Trubnikov V., Trzaska W.H., Trzcinski T.P., Trzeciak B.A., Tumkin A., Turrisi R., Tveter T.S., Ullaland K., Umaka E.N., Uras A., Usai G.L., Vala M., Valle N., Vallero S., van der Kolk N., van Doremalen L.V.R., van Leeuwen M., Vande Vyvre P., Varga D., Varga Z., Varga-Kofarago M., Vargas A., Vasileiou M., Vasiliev A., Vazquez Doce O., Vechernin V., Vercellin E., Vergara Limon S., Vermunt L., Vernet R., Vertesi R., Vickovic L., Vilakazi Z., Villalobos Baillie O., Vino G., Vinogradov A., Virgili T., Vislavicius V., Vodopyanov A., Volkel B., Volkl M.A., Voloshin K., Voloshin S.A., Volpe G., von Haller B., Vorobyev I., Voscek D., Vrlakova J., Wagner B., Weber M., Wegrzynek A., Wenzel S.C., Wessels J.P., Wiechula J., Wikne J., Wilk G., Wilkinson J., Willems G.A., Willsher E., Windelband B., Winn M., Witt W.E., Wright J.R., Wu Y., Xu R., Yalcin S., Yamaguchi Y., Yamakawa K., Yang S., Yano S., Yin Z., Yokoyama H., Yoo I.-K., Yoon J.H., Yuan S., Yuncu A., Yurchenko V., Zaccolo V., Zaman A., Zampolli C., Zanoli H.J.C., Zardoshti N., Zarochentsev A., Zavada P., Zaviyalov N., Zbroszczyk H., Zhalov M., Zhang S., Zhang X., Zhang Z., Zherebchevskii V., Zhou D., Zhou Y., Zhou Z., Zhu J., Zhu Y., Zichichi A., Zinovjev G., Zurlo N., Acharya, S., Adamova, D., Adler, A., Adolfsson, J., Aggarwal, M. 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A., Carnesecchi, F., Caron, R., Castillo Castellanos, J., Castro, A. J., Casula, E. A. R., Catalano, F., Ceballos Sanchez, C., Chakraborty, P., Chandra, S., Chang, W., Chapeland, S., Chartier, M., Chattopadhyay, S., Chauvin, A., Cheshkov, C., Cheynis, B., Chibante Barroso, V., Chinellato, D. D., Cho, S., Chochula, P., Chowdhury, T., Christakoglou, P., Christensen, C. H., Christiansen, P., Chujo, T., Cicalo, C., Cifarelli, L., Cindolo, F., Clai, G., Cleymans, J., Colamaria, F., Colella, D., Collu, A., Colocci, M., Concas, M., Conesa Balbastre, G., Conesa del Valle, Z., Contin, G., Contreras, J. G., Cormier, T. M., Corrales Morales, Y., Cortese, P., Cosentino, M. R., Costa, F., Costanza, S., Crochet, P., Cuautle, E., Cui, P., Cunqueiro, L., Dabrowski, D., Dahms, T., Dainese, A., Damas, F. P. A., Danisch, M. C., Danu, A., Das, D., Das, I., Das, P., Das, S., Dash, A., Dash, S., De, S., De Caro, A., de Cataldo, G., de Cuveland, J., De Falco, A., De Gruttola, D., De Marco, N., De Pasquale, S., Deb, S., Degenhardt, H. F., Deja, K. R., Deloff, A., Delsanto, S., Deng, W., Devetak, D., Dhankher, P., Di Bari, D., Di Mauro, A., Diaz, R. A., Dietel, T., Dillenseger, P., Ding, Y., Divia, R., Dixit, D. U., Djuvsland, O., Dmitrieva, U., Dobrin, A., Donigus, B., Dordic, O., Dubey, A. K., Dubla, A., Dudi, S., Dukhishyam, M., Dupieux, P., Ehlers, R. J., Eikeland, V. N., Elia, D., Epple, E., Erazmus, B., Erhardt, F., Erokhin, A., Ersdal, M. R., Espagnon, B., Eulisse, G., Evans, D., Evdokimov, S., Fabbietti, L., Faggin, M., Faivre, J., Fan, F., Fantoni, A., Fasel, M., Fecchio, P., Feliciello, A., Feofilov, G., Fernandez Tellez, A., Ferrero, A., Ferretti, A., Festanti, A., Feuillard, V. J. G., Figiel, J., Filchagin, S., Finogeev, D., Fionda, F. M., Fiorenza, G., Flor, F., Flores, A. N., Foertsch, S., Foka, P., Fokin, S., Fragiacomo, E., Frankenfeld, U., Fuchs, U., Furget, C., Furs, A., Fusco Girard, M., Gaardhoje, J. J., Gagliardi, M., Gago, A. M., Gal, A., Galvan, C. D., Ganoti, P., Garabatos, C., Garcia-Solis, E., Garg, K., Gargiulo, C., Garibli, A., Garner, K., Gasik, P., Gauger, E. F., Gay Ducati, M. B., Germain, M., Ghosh, J., Ghosh, P., Ghosh, S. K., Giacalone, M., Gianotti, P., Giubellino, P., Giubilato, P., Glassel, P., Gomez Ramirez, A., Gonzalez, V., Gonzalez-Trueba, L. H., Gorbunov, S., Gorlich, L., Goswami, A., Gotovac, S., Grabski, V., Graczykowski, L. K., Graham, K. L., Greiner, L., Grelli, A., Grigoras, C., Grigoriev, V., Grigoryan, A., Grigoryan, S., Groettvik, O. S., Grosa, F., Grosse-Oetringhaus, J. F., Grosso, R., Guernane, R., Guittiere, M., Gulbrandsen, K., Gunji, T., Gupta, A., Gupta, R., Guzman, I. B., Haake, R., Habib, M. K., Hadjidakis, C., Hamagaki, H., Hamar, G., Hamid, M., Hannigan, R., Haque, M. R., Harlenderova, A., Harris, J. W., Harton, A., Hasenbichler, J. A., Hassan, H., Hatzifotiadou, D., Hauer, P., Havener, L. B., Hayashi, S., Heckel, S. T., Hellbar, E., Helstrup, H., Herghelegiu, A., Herman, T., Hernandez, E. G., Herrera Corral, G., Herrmann, F., Hetland, K. F., Hillemanns, H., Hills, C., Hippolyte, B., Hohlweger, B., Honermann, J., Horak, D., Hornung, A., Hornung, S., Hosokawa, R., Hristov, P., Huang, C., Hughes, C., Huhn, P., Humanic, T. J., Hushnud, H., Husova, L. A., Hussain, N., Hussain, S. A., Hutter, D., Iddon, J. P., Ilkaev, R., Ilyas, H., Inaba, M., Innocenti, G. M., Ippolitov, M., Isakov, A., Islam, M. S., Ivanov, M., Ivanov, V., Izucheev, V., Jacak, B., Jacazio, N., Jacobs, P. M., Jadlovska, S., Jadlovsky, J., Jaelani, S., Jahnke, C., Jakubowska, M. J., Janik, M. A., Janson, T., Jercic, M., Jevons, O., Jin, M., Jonas, F., Jones, P. G., Jung, J., Jung, M., Jusko, A., Kalinak, P., Kalweit, A., Kaplin, V., Kar, S., Karasu Uysal, A., Karavichev, O., Karavicheva, T., Karczmarczyk, P., Karpechev, E., Kebschull, U., Keidel, R., Keil, M., Ketzer, B., Khabanova, Z., Khan, A. M., Khan, S., Khan, S. A., Khanzadeev, A., Kharlov, Y., Khatun, A., Khuntia, A., Kileng, B., Kim, B., Kim, D., Kim, D. J., Kim, E. J., Kim, H., Kim, J., Kim, J. S., Kim, M., Kim, S., Kim, T., Kirsch, S., Kisel, I., Kiselev, S., Kisiel, A., Klay, J. L., Klein, C., Klein, J., Klein, S., Klein-Bosing, C., Kleiner, M., Kluge, A., Knichel, M. L., Knospe, A. G., Kobdaj, C., Kohler, M. K., Kollegger, T., Kondratyev, A., Kondratyeva, N., Kondratyuk, E., Konig, J., Konigstorfer, S. A., Konopka, P. J., Kornakov, G., Koska, L., Kovalenko, O., Kovalenko, V., Kowalski, M., Kralik, I., Kravcakova, A., Kreis, L., Krivda, M., Krizek, F., Krizkova Gajdosova, K., Kruger, M., Kryshen, E., Krzewicki, M., Kubera, A. M., Kucera, V., Kuhn, C., Kuijer, P. G., Kumar, L., Kundu, S., Kurashvili, P., Kurepin, A., Kurepin, A. B., Kuryakin, A., Kushpil, S., Kvapil, J., Kweon, M. J., Kwon, J. Y., Kwon, Y., La Pointe, S. L., La Rocca, P., Lai, Y. S., Langoy, R., Lapidus, K., Lardeux, A., Larionov, P., Laudi, E., Lavicka, R., Lazareva, T., Lea, R., Leardini, L., Lee, J., Lee, S., Lehas, F., Lehner, S., Lehrbach, J., Lemmon, R. C., Leon Monzon, I., Lesser, E. D., Lettrich, M., Levai, P., Li, X., Li, X. L., Lien, J., Lietava, R., Lim, B., Lindenstruth, V., Lindner, A., Lindsay, S. W., Lippmann, C., Lisa, M. A., Liu, A., Liu, J., Liu, S., Llope, W. J., Lofnes, I. M., Loginov, V., Loizides, C., Loncar, P., Lopez, J. A., Lopez, X., Lopez Torres, E., Luhder, J. R., Lunardon, M., Luparello, G., Ma, Y. G., Maevskaya, A., Mager, M., Mahmood, S. M., Mahmoud, T., Maire, A., Majka, R. D., Malaev, M., Malik, Q. W., Malinina, L., Mal'Kevich, D., Malzacher, P., Mandaglio, G., Manko, V., Manso, F., Manzari, V., Mao, Y., Marchisone, M., Mares, J., Margagliotti, G. V., Margotti, A., Margutti, J., Marin, A., Markert, C., Marquard, M., Martin, C. D., Martin, N. A., Martinengo, P., Martinez, J. L., Martinez, M. I., Martinez Garcia, G., Masciocchi, S., Masera, M., Masoni, A., Massacrier, L., Masson, E., Mastroserio, A., Mathis, A. M., Matonoha, O., Matuoka, P. F. T., Matyja, A., Mayer, C., Mazzaschi, F., Mazzilli, M., Mazzoni, M. A., Mechler, A. F., Meddi, F., Melikyan, Y., Menchaca-Rocha, A., Mengke, C., Meninno, E., Meres, M., Mhlanga, S., Miake, Y., Micheletti, L., Migliorin, L. C., Mihaylov, D. L., Mikhaylov, K., Mishra, A. N., Miskowiec, D., Modak, A., Mohammadi, N., Mohanty, A. P., Mohanty, B., Mohisin Khan, M., Moravcova, Z., Mordasini, C., Moreira De Godoy, D. A., Moreno, L. A. P., Morozov, I., Morsch, A., Mrnjavac, T., Muccifora, V., Mudnic, E., Muhlheim, D., Muhuri, S., Mulligan, J. D., Munhoz, M. G., Munzer, R. H., Murakami, H., Murray, S., Musa, L., Musinsky, J., Myers, C. J., Myrcha, J. W., Naik, B., Nair, R., Nandi, B. K., Nania, R., Nappi, E., Naru, M. U., Nassirpour, A. F., Nattrass, C., Nayak, R., Nayak, T. K., Nazarenko, S., Neagu, A., Negrao De Oliveira, R. A., Nellen, L., Nesbo, S. V., Neskovic, G., Nesterov, D., Neumann, L. T., Nielsen, B. S., Nikolaev, S., Nikulin, S., Nikulin, V., Noferini, F., Nomokonov, P., Norman, J., Novitzky, N., Nowakowski, P., Nyanin, A., Nystrand, J., Ogino, M., Ohlson, A., Oleniacz, J., Oliveira Da Silva, A. C., Oliver, M. H., Oppedisano, C., Ortiz Velasquez, A., Oskarsson, A., Otwinowski, J., Oyama, K., Pachmayer, Y., Pacik, V., Pagano, D., Paic, G., Pan, J., Panebianco, S., Pareek, P., Park, J., Parkkila, J. E., Parmar, S., Pathak, S. P., Paul, B., Pei, H., Peitzmann, T., Peng, X., Pereira, L. G., Pereira Da Costa, H., Peresunko, D., Perez, G. M., Pestov, Y., Petracek, V., Petrovici, M., Pezzi, R. P., Piano, S., Pikna, M., Pillot, P., Pinazza, O., Pinsky, L., Pinto, C., Pisano, S., Pistone, D., Ploskon, M., Planinic, M., Pliquett, F., Poghosyan, M. G., Polichtchouk, B., Poljak, N., Pop, A., Porteboeuf-Houssais, S., Pozdniakov, V., Prasad, S. K., Preghenella, R., Prino, F., Pruneau, C. A., Pshenichnov, I., Puccio, M., Putschke, J., Qiu, S., Quaglia, L., Quishpe, R. E., Ragoni, S., Raha, S., Rajput, S., Rak, J., Rakotozafindrabe, A., Ramello, L., Rami, F., Ramirez, S. A. R., Raniwala, R., Raniwala, S., Rasanen, S. S., Rath, R., Ratza, V., Ravasenga, I., Read, K. F., Redelbach, A. R., Redlich, K., Rehman, A., Reichelt, P., Reidt, F., Ren, X., Renfordt, R., Rescakova, Z., Reygers, K., Riabov, V., Richert, T., Richter, M., Riedler, P., Riegler, W., Riggi, F., Ristea, C., Rode, S. P., Rodriguez Cahuantzi, M., Roed, K., Rogalev, R., Rogochaya, E., Rohr, D., Rohrich, D., Rokita, P. S., Ronchetti, F., Rosano, A., Rosas, E. D., Roslon, K., Rossi, A., Rotondi, A., Roy, A., Roy, P., Rueda, O. V., Rui, R., Rumyantsev, B., Rustamov, A., Ryabinkin, E., Ryabov, Y., Rybicki, A., Rytkonen, H., Saarimaki, O. A. M., Sadhu, S., Sadovsky, S., Safarik, K., Saha, S. K., Sahoo, B., Sahoo, P., Sahoo, R., Sahoo, S., Sahu, P. K., Saini, J., Sakai, S., Sambyal, S., Samsonov, V., Sarkar, D., Sarkar, N., Sarma, P., Sarti, V. M., Sas, M. H. P., Scapparone, E., Schambach, J., Scheid, H. S., Schiaua, C., Schicker, R., Schmah, A., Schmidt, C., Schmidt, H. R., Schmidt, M. O., Schmidt, M., Schmidt, N. V., Schmier, A. R., Schukraft, J., Schutz, Y., Schwarz, K., Schweda, K., Scioli, G., Scomparin, E., Seger, J. E., Sekiguchi, Y., Sekihata, D., Selyuzhenkov, I., Senyukov, S., Serebryakov, D., Sevcenco, A., Shabanov, A., Shabetai, A., Shahoyan, R., Shaikh, W., Shangaraev, A., Sharma, A., Sharma, H., Sharma, M., Sharma, N., Sharma, S., Shigaki, K., Shimomura, M., Shirinkin, S., Shou, Q., Sibiriak, Y., Siddhanta, S., Siemiarczuk, T., Silvermyr, D., Simatovic, G., Simonetti, G., Singh, B., Singh, R., Singh, V. K., Singhal, V., Sinha, T., Sitar, B., Sitta, M., Skaali, T. B., Slupecki, M., Smirnov, N., Snellings, R. J. M., Soncco, C., Song, J., Songmoolnak, A., Soramel, F., Sorensen, S., Sputowska, I., Stachel, J., Stan, I., Steffanic, P. J., Stenlund, E., Stiefelmaier, S. F., Stocco, D., Storetvedt, M. M., Stritto, L. D., Suaide, A. A. P., Sugitate, T., Suire, C., Suleymanov, M., Suljic, M., Sultanov, R., Sumbera, M., Sumberia, V., Sumowidagdo, S., Swain, S., Szabo, A., Szarka, I., Tabassam, U., Taghavi, S. F., Taillepied, G., Takahashi, J., Tambave, G. J., Tang, S., Tarhini, M., Tarzila, M. G., Tauro, A., Tejeda Munoz, G., Telesca, A., Terlizzi, L., Terrevoli, C., Thakur, D., Thakur, S., Thomas, D., Thoresen, F., Tieulent, R., Tikhonov, A., Timmins, A. R., Toia, A., Topilskaya, N., Toppi, M., Torales-Acosta, F., Torres, S. R., Trifiro, A., Tripathy, S., Tripathy, T., Trogolo, S., Trombetta, G., Tropp, L., Trubnikov, V., Trzaska, W. H., Trzcinski, T. P., Trzeciak, B. A., Tumkin, A., Turrisi, R., Tveter, T. S., Ullaland, K., Umaka, E. N., Uras, A., Usai, G. L., Vala, M., Valle, N., Vallero, S., van der Kolk, N., van Doremalen, L. V. R., van Leeuwen, M., Vande Vyvre, P., Varga, D., Varga, Z., Varga-Kofarago, M., Vargas, A., Vasileiou, M., Vasiliev, A., Vazquez Doce, O., Vechernin, V., Vercellin, E., Vergara Limon, S., Vermunt, L., Vernet, R., Vertesi, R., Vickovic, L., Vilakazi, Z., Villalobos Baillie, O., Vino, G., Vinogradov, A., Virgili, T., Vislavicius, V., Vodopyanov, A., Volkel, B., Volkl, M. A., Voloshin, K., Voloshin, S. A., Volpe, G., von Haller, B., Vorobyev, I., Voscek, D., Vrlakova, J., Wagner, B., Weber, M., Wegrzynek, A., Wenzel, S. C., Wessels, J. P., Wiechula, J., Wikne, J., Wilk, G., Wilkinson, J., Willems, G. A., Willsher, E., Windelband, B., Winn, M., Witt, W. E., Wright, J. R., Wu, Y., Xu, R., Yalcin, S., Yamaguchi, Y., Yamakawa, K., Yang, S., Yano, S., Yin, Z., Yokoyama, H., Yoo, I. -K., Yoon, J. H., Yuan, S., Yuncu, A., Yurchenko, V., Zaccolo, V., Zaman, A., Zampolli, C., Zanoli, H. J. C., Zardoshti, N., Zarochentsev, A., Zavada, P., Zaviyalov, N., Zbroszczyk, H., Zhalov, M., Zhang, S., Zhang, X., Zhang, Z., Zherebchevskii, V., Zhou, D., Zhou, Y., Zhou, Z., Zhu, J., Zhu, Y., Zichichi, A., Zinovjev, G., and Zurlo, N.
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Kjerne- og elementærpartikkelfysikk: 431 [VDP] ,Hadron ,Hadron - hadron reaction ,HEAVY-ION COLLISIONS ,High multiplicity ,hiukkasfysiikka ,nucl-ex ,decay [resonance] ,01 natural sciences ,High Energy Physics - Experiment ,Experiment ,High Energy Physics - Experiment (hep-ex) ,hadron–hadron interactions, LHC, ALICE ,Barions ,strong interaction ,LHC ,ALICE ,strong resonance decay ,Ionic Collisions ,scattering [p p] ,[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex] ,Nuclear Experiment (nucl-ex) ,Nuclear Experiment ,PION INTERFEROMETRY ,hadron-hadron scattering ,Physics ,Large Hadron Collider ,Mesons ,Hadron - hadron reactions ,mass: transverse ,baryon correlations ,invariant radius ,strong hadron–hadron interactions ,VDP::Kjerne- og elementærpartikkelfysikk: 431 ,Radius ,AU+AU ,Invariant (physics) ,lcsh:QC1-999 ,quark gluon plasma ,PRIRODNE ZNANOSTI. Fizika ,SIGMA(0) PRODUCTION ,COLLISIONS ,FEMTOSCOPY ,SYSTEMS ,PB ,Nuclear and elementary particle physics: 431 [VDP] ,CERN LHC Coll ,VDP::Nuclear and elementary particle physics: 431 ,Transverse mass ,Particle Physics - Experiment ,Nuclear and High Energy Physics ,p p: scattering ,High Energy Physics ,collective ,FOS: Physical sciences ,[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex] ,114 Physical sciences ,Nuclear physics ,baryon baryon: correlation ,resonance: decay ,0103 physical sciences ,femtoscopy ,ddc:530 ,Nuclear Physics - Experiment ,010306 general physics ,hadron hadron: interaction ,interaction [hadron hadron] ,010308 nuclear & particles physics ,hep-ex ,hadron-hadron scattering, ALICE experiment, femtoscopy ,High Energy Physics::Phenomenology ,ALICE experiment ,correlation [baryon baryon] ,Kaons ,NATURAL SCIENCES. Physics ,Baryon ,transverse [mass] ,Antiproton ,13000 GeV-cms/nucleon ,High Energy Physics::Experiment ,lcsh:Physics ,experimental results - Abstract
Physics letters / B B811, 135849 (2020). doi:10.1016/j.physletb.2020.135849, We report on the measurement of the size of the particle-emitting source from two-baryon correlations with ALICE in high-multiplicity pp collisions at $\sqrt{s}$ = 13 TeV. The source radius is studied with low relative momentum $p–p$, $\bar{p}–\bar{p}$ , $p–\Lambda$ , and $\bar{p}–\bar{\Lambda}$ pairs as a function of the pair transverse mass $m_{\rm T}$ considering for the first time in a quantitative way the effect of strong resonance decays. After correcting for this effect, the radii extracted for pairs of different particle species agree. This indicates that protons, antiprotons, $\Lambda$s, and $\bar{Lambda}$s originate from the same source. Within the measured $m_{\rm T}$ range (1.1 – 2.2) GeV/c$^2$ the invariant radius of this common source varies between 1.3 and 0.85 fm. These results provide a precise reference for studies of the strong hadron–hadron interactions and for the investigation of collective properties in small colliding systems., Published by North-Holland Publ., Amsterdam
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- 2020
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42. Exploring the Collective Phenomenon at the Electron-Ion Collider
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Shu-Yi Wei, Liang Zheng, Lei Wang, Bo-Wen Xiao, and Yu Shi
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Physics ,Nuclear Theory ,010308 nuclear & particles physics ,Virtual particle ,FOS: Physical sciences ,Electron ,High multiplicity ,01 natural sciences ,Change size ,Ion ,Color-glass condensate ,High Energy Physics - Experiment ,Nuclear physics ,Nuclear Theory (nucl-th) ,Formalism (philosophy of mathematics) ,High Energy Physics - Phenomenology ,High Energy Physics - Experiment (hep-ex) ,High Energy Physics - Phenomenology (hep-ph) ,0103 physical sciences ,Nuclear Experiment (nucl-ex) ,010306 general physics ,Nuclear theory ,Nuclear Experiment - Abstract
Based on rare fluctuations in strong interactions, we argue that there is a strong physical resemblance between the high multiplicity events in photo-nuclear collisions and those in $pA$ collisions, in which interesting long range collective phenomena are discovered. This indicates that the collectivity can also be studied in certain kinematic region of the upcoming Electron-Ion Collider (EIC) where the incoming virtual photon has a sufficiently long lifetime. Using a model in the Color Glass Condensate formalism, we first show that the initial state interactions can explain the recent ATLAS azimuthal correlation results measured in the photo-nuclear collisions, and then we provide quantitative predictions for the long range correlations in $eA$ collisions in the EIC regime. With the unprecedented precision and the ability to change the size of the collisional system, the high luminosity EIC will open a new window to explore the physical mechanism responsible for the collective phenomenon., Comment: 6 pages, 3 figures; published version
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- 2020
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43. Recent results in small systems from CMS
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Prabhat Ranjan Pujahari
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Nuclear physics ,Physics ,Quantum chromodynamics ,Large Hadron Collider ,Physical phenomena ,Particle ,Small systems ,Context (language use) ,High multiplicity ,Detectors and Experimental Techniques ,Nuclear Experiment ,QCD matter - Abstract
The observation of a wide variety of physical phenomena in the context of the formation of a strongly interacting QCD matter in heavy-ion nuclear collisions at the LHC has drawn significant attention to the high energy heavy-ion physics community. The appearance of a varieties of similar phenomena as in heavy-ion in the high multiplicity proton-proton and proton-nucleus collisions at the LHC energies has triggered further investigation to understand the dynamics of particle production mechanism in a highly dense and small QCD medium. The CMS collaboration uses many different probes in these studies ranging from the particle production cross section to multi-particle correlations. In this proceeding, I report a few selected recent CMS results from the small systems with the main focus on the measurement of collective phenomena in high multiplicity pp and pPb collisions.
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- 2019
44. An overview of process intensification and thermo stabilization for upscaling of Peste des petits ruminants vaccines in view of global control and eradication
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P. Dhar, Raja Wasim Yousuf, Mousumi Bora, and R. P. Singh
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0301 basic medicine ,Peste-des-Petits-Ruminants ,education.field_of_study ,Attenuated vaccine ,business.industry ,Population ,Low input farming ,Review Article ,Ppr virus ,High multiplicity ,Biotechnology ,Vaccination ,03 medical and health sciences ,030104 developmental biology ,0302 clinical medicine ,Infectious Diseases ,Virology ,Mass vaccination ,030212 general & internal medicine ,education ,business - Abstract
Peste des petits ruminants (PPR) has been recognized as a globally distributed disease affecting the small ruminant population. The disease results in severe economic losses mainly to small land holders and low input farming systems. The control of PPR is mainly achieved through vaccination with available live attenuated vaccines. The thermo labile nature of PPR virus poses a major constraint in production of quality vaccines which often results in vaccine failures. The lack of quality vaccine production jeopardize the wide vaccination coverage especially in countries with poor infrastructure due to which PPR persists endemically. The vaccine production system may require augmentation to attain consistent and quality vaccines through efforts of process intensification integrated with suitable stabilizer formulations with appropriate freeze drying cycles for improved thermo tolerance. Manufacturing of live attenuated PPR vaccines during batch cultures might introduce defective interfering particles (DIPs) as a result of high multiplicity of infection (MOI) of inoculums, which has a huge impact on virus dynamics and yield. Accumulation of DIPs adversely affects the quality of the manufactured vaccines which can be avoided through use of appropriate MOI of virus inoculums and quality control of working seed viruses. Therefore, adherence to critical manufacturing standard operating procedures in vaccine production and ongoing efforts on development of thermo tolerant vaccine will help a long way in PPR control and eradication programme globally. The present review focuses on the way forward to achieve the objectives of quality vaccine production and easy upscaling to help the global PPR control and eradication by mass vaccination as an important tool.
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- 2018
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45. Single-commodity flow-based formulations and accelerated benders algorithms for the high-multiplicity asymmetric traveling salesman problem and its extensions
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Hanif D. Sherali, Maichel M. Aguayo, and Subhash C. Sarin
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Marketing ,Mathematical optimization ,021103 operations research ,Strategy and Management ,0211 other engineering and technologies ,0102 computer and information sciences ,02 engineering and technology ,Management Science and Operations Research ,Benders' decomposition ,High multiplicity ,2-opt ,01 natural sciences ,Travelling salesman problem ,Management Information Systems ,Scheduling (computing) ,Flow (mathematics) ,010201 computation theory & mathematics ,Bottleneck traveling salesman problem ,Commodity flow ,Algorithm ,Mathematics - Abstract
In this paper, we present a single-commodity flow-based formulation for the high-multiplicity asymmetric traveling salesman problem (HMATSP), which is an extension of the asymmetric traveling sales...
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- 2017
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46. Throughput optimization in two-machine flowshops with flexible operations.
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Crama, Yves and Gultekin, Hakan
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FLEXIBLE manufacturing systems ,ASSEMBLY line methods ,SCHEDULING ,FACTORY management ,MANUFACTURED products ,PROCESS control systems ,PRODUCTION engineering - Abstract
In this study, a two-machine flowshop producing identical parts is considered. Each of the identical parts is assumed to require a number of manufacturing operations, and the machines are assumed to be flexible enough to perform different operations. Due to economical or technological constraints, some specific operations are preassigned to one of the machines. The remaining operations, called flexible operations, can be performed on either one of the machines, so that the same flexible operation can be performed on different machines for different parts. The problem is to determine the assignment of the flexible operations to the machines for each part, with the objective of maximizing the throughput rate. We consider various cases regarding the number of parts to be produced and the capacity of the buffer between the machines. We present solution methods for each variant of the problem. [ABSTRACT FROM AUTHOR]
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- 2010
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47. Multiplicity and complexity issues in contemporary production scheduling.
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Brauner, N., Crama, Y., Grigoriev, A., and van de Klundert, J.
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PRODUCTION scheduling , *ECONOMIES of scale , *COMBINATORIAL optimization , *MULTIPLICITY (Mathematics) , *COMPUTATIONAL complexity - Abstract
High multiplicity scheduling problems arise naturally in contemporary production settings where manufacturers combine economies of scale with high product variety. Despite their frequent occurrence in practice, the complexity of high multiplicity problems – as opposed to classical, single multiplicity problems – is in many cases not well understood. In this paper, we discuss various concepts and results that enable a better understanding of the nature and complexity of high multiplicity scheduling problems. The paper extends the framework presented in Brauner et al. [ Journal of Combinatorial Optimization (2005 ) Vol. 9, pp. 313–323] for single machine, non-preemptive high multiplicity scheduling problems, to more general classes of problems. [ABSTRACT FROM AUTHOR]
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- 2007
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48. On the high multiplicity traveling salesman problem.
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Grigoriev, Alexander and van de Klundert, Joris
- Subjects
TRAVELING salesman problem ,COMMERCIAL agents ,SALES personnel ,SOCIAL aspects of travel ,SOCIAL history - Abstract
Abstract: This paper considers a version of the traveling salesman problem where the cities are to be visited multiple times. Each city has its own required number of visits. We investigate how the optimal solution and its objective value change when the numbers of visits are increased by a common multiplicator. In addition, we derive lower bounds on values of the multiplicator beyond which further increase does not improve the average tour length. Moreover, we show how and when the structure of an optimal tour length can be derived from tours with smaller multiplicities. [Copyright &y& Elsevier]
- Published
- 2006
- Full Text
- View/download PDF
49. The maximum deviation just-in-time scheduling problem
- Author
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Brauner, N. and Crama, Y.
- Subjects
- *
JUST-in-time systems , *ALGEBRA , *PRODUCTION scheduling - Abstract
This note revisits the maximum deviation just-in-time (MDJIT) scheduling problem previously investigated by Steiner and Yeomans. Its main result is a set of algebraic necessary and sufficient conditions for the existence of a MDJIT schedule with a given objective function value. These conditions are used to provide a finer analysis of the complexity of the MDJIT problem. The note also investigates various special cases of the MDJIT problem and suggests several questions for further investigation. [Copyright &y& Elsevier]
- Published
- 2004
- Full Text
- View/download PDF
50. Azimuthal anisotropy harmonics from long-range correlations in high multiplicity pp collisions at CMS
- Author
-
Zhenyu Chen
- Subjects
Physics ,Nuclear and High Energy Physics ,Large Hadron Collider ,010308 nuclear & particles physics ,Multiplicity (mathematics) ,High multiplicity ,01 natural sciences ,Charged particle ,Azimuth ,Nuclear physics ,Harmonics ,0103 physical sciences ,Transverse momentum ,Detectors and Experimental Techniques ,Nuclear Experiment ,010306 general physics ,Anisotropy - Abstract
Measurements of two-particle angular correlations in pp collisions at $\sqrt{s}$ = 7 TeV are presented as a function of charged-particle multiplicities. The data, corresponding to an integrated luminosity of about 6.2 pb$^{-1}$, were collected during the 2010 LHC pp run using the CMS detector. In high-multiplicity events, a long-range ($\mid\Delta\eta\mid>2$), near-side ($\Delta\phi \approx 0$) structure is found in the two-particle $\Delta\eta$-$\Delta\phi$ correlation functions. The second-order ($v_2$) and third-order ($v_3$) azimuthal anisotropy harmonics of charged particles, $\text{K}_{\text{S}}^{0}$ and $\Lambda$/$\overline{\Lambda}$ particles are extracted from long-range two-particle correlations as a function of particle multiplicity and transverse momentum, after correcting for the contribution of back-to-back jet correlations. A $v_2$ and $v_3$ value of about 4$\%$ and 1$\%$, averaging over $0.3 < p_\mathrm{T} < 3$ GeV$/$c, are observed in the high-multiplicity region, and are found to be smaller than values obtained in pPb and PbPb collisions at similar multiplicities.
- Published
- 2016
- Full Text
- View/download PDF
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