High pT single identified particles in various systems, various collision energies, and several scaling variables

2016 ◽  
Vol 276-278 ◽  
pp. 289-292
Author(s):  
Klaus Dehmelt
Keyword(s):  
Scaling Variables

scholarly journals Scaling Variables and Stability of Hyperbolic Fronts

2000 ◽  
Vol 32 (1) ◽  
pp. 1-29 ◽  
Author(s):  
Thierry Gallay ◽  
Geneviève Raugel
Keyword(s):  
Scaling Variables

Couchsurfing with Bateson: An ecology of digital platforms

2021 ◽  
pp. 017084062110586
Author(s):  
Karolina Mikołajewska-Zając ◽  
Attila Márton ◽  
Mike Zundel
Keyword(s):  
Longitudinal Study ◽  
Analytical Approach ◽  
Stress Adaptation ◽  
Tolerance Limits ◽  
Gregory Bateson ◽  
Digital Platforms ◽  
Digital Platform ◽  
Organizational Patterns ◽  
Scaling Variables

Digital platforms radically alter socio-economic and organizational patterns. In an ecological sense, they enable the rapid extension of tolerance limits by digitally scaling variables such as the availability of accommodation or labour. However, such maximization of specific variables in a complex ecology bears the danger of pathological runaway patterns. In our paper we draw on the work of Gregory Bateson to outline an analytical approach for the study of digital platforms as ecological phenomena, focussing on the effects of digitalization on the context in which platforms operate. To study such meta-patterns, we elaborate three interrelated concepts: stress, adaptation and budgets of flexibility. We exemplify these ideas through a longitudinal study of the early digital platform Couchsurfing and develop implications for our understanding of technology and organization.

How Scaling Variables by Firm Size Limits Knowledge Accumulation in Strategic Management

2018 ◽  
Vol 2018 (1) ◽  
pp. 15394
Author(s):  
S. Trevis Certo ◽  
John R. Busenbark ◽  
Matias Kalm ◽  
Jeffery LePine
Keyword(s):  
Strategic Management ◽  
Firm Size ◽  
Knowledge Accumulation ◽  
Scaling Variables ◽  
Size Limits

Scalable Platform Robust Reconfiguration Method with Sensitivity Analysis and Fuzzy Clustering

2011 ◽  
Vol 52-54 ◽  
pp. 1026-1031 ◽  
Author(s):  
Zhong Kai Li ◽  
Xiu Rong Li ◽  
Zhen Cai Zhu
Keyword(s):  
Sensitivity Analysis ◽  
Fuzzy Clustering ◽  
Design Theory ◽  
Product Family ◽  
Preference Aggregation ◽  
Cluster Number ◽  
Constant Multiple ◽  
Efficiency And Effectiveness ◽  
Variable Sensitivity ◽  
Scaling Variables

For improving the quick responses and instances quality in platform based product family design, a scalable platform reconfiguration method using sensitivity analysis and fuzzy clustering is proposed with robust design theory. The possible platform constants and scaling variables sets are divided by design variable sensitivity analysis firstly, during which multiple performances are aggregated by preference aggregation to ease the sensitivity for total product. Then the performance preference, robust deviation and constraint violation changes caused by constant sharing are clustered by fuzzy c-means algorithm (FCM) to reasonably plan the constant multiple platforms sharing strategy. A fuzzy percentage index is introduced in FCM to determine the optimal cluster number in fuzzy clustering. Finally the instances deviated from platform are optimized to set scaling variables. The efficiency and effectiveness of proposed method is illustrated by the optimization of scalable capacitor-run single-phase induction motor families, and the results are compared against previous work.

VALIDITY OF NAKAMURA-KUDO SCALING OF CHARGED PARTICLE PSEUDORAPIDITY DISTRIBUTION IN RELATIVISTIC HEAVY ION INTERACTIONS

1990 ◽  
Vol 05 (30) ◽  
pp. 2485-2489 ◽  
Author(s):  
DIPAK GHOSH ◽  
AMITABHA MUKHOPADHYAY ◽  
SHARMILA SARKAR ◽  
RANJAN SENGUPTA ◽  
ANIT GHOSH ◽  
...  
Keyword(s):  
Charged Particle ◽  
Heavy Ion ◽  
Scaling Behavior ◽  
Pseudorapidity Distribution ◽  
Ion Interactions ◽  
Scaling Variables ◽  
Remarkable Agreement

This letter reports an analysis of our own emulsion data in terms of charged particle pseudorapidity distribution in the cases of 12 C-Ag/Br , 24 Mg-Ag/Br at 4.5 A GeV/c, and 16 O-Ag/Br at 2.1 A GeV. The data are compared with the analyses using two scaling variables recently proposed by Kenju Mori et al. and Nakamura and Kudo. In all cases the data show a remarkable agreement with the scaling behavior of Nakamura and Kudo. The data obtained for 16 O + AgBr interactions at 14.6 A GeV, 60 A GeV, and 200 A GeV are also in favor of the Nakamura-Kudo scaling.

Complete self-preservation along the axis of a circular cylinder far wake

2015 ◽  
Vol 786 ◽  
pp. 253-274 ◽  
Author(s):  
S. L. Tang ◽  
R. A. Antonia ◽  
L. Djenidi ◽  
Y. Zhou
Keyword(s):  
Circular Cylinder ◽  
Energy Budget ◽  
Energy Dissipation Rate ◽  
Momentum Equation ◽  
Stream Velocity ◽  
Exact Relation ◽  
Kolmogorov Length Scale ◽  
The Mean ◽  
Scaling Variables ◽  
Far Wake

Self-preservation (SP) analyses are applied to the mean momentum and the scale-by-scale energy budget equations in the far wake of a circular cylinder. The scale-by-scale SP analysis, which is a two-point analysis, complements the SP analysis of the mean momentum equation. Power-law variations are derived for different length scales (e.g. the Taylor microscale and the Kolmogorov length scale) and velocity scales (e.g. the root mean square and the Kolmogorov velocity scale). Further, the SP solutions for the scale-by-scale energy budget equation are exploited to develop an exact relation to estimate the mean turbulent kinetic energy dissipation rate $\bar{{\it\epsilon}}$ on the wake axis. These SP solutions and the new $\bar{{\it\epsilon}}$ relation are well supported by hot-wire data in the far wake at a Reynolds number of 2000 based on the free stream velocity and the cylinder diameter. On the far-wake axis, both the energy spectra and the structure functions exhibit an almost perfect collapse over all wavenumbers and separations, irrespective of the set of scaling variables used for normalisation. This is consistent with a complete self-preservation (i.e. SP is satisfied at all scales of motion) in the far wake.

scholarly journals Scaling of Phase Diagram and Critical Point Parameters in Liquid-Vapour Phase Transition of Metallic Fluids

2020 ◽  
Author(s):  
S.V.G. Menon
Keyword(s):  
Phase Transition ◽  
Critical Point ◽  
Phase Diagrams ◽  
Vapor Phase ◽  
Cohesive Energy ◽  
Coupling Parameter ◽  
Thermodynamic Quantities ◽  
Parameter Expansion ◽  
Scaling Variables ◽  
Liquid Vapor

The first objective of this paper is to investigate the scaling behavior of liquid-vapor phase transition in FCC and BCC metals starting from the zero-temperature four-parameter formula for cohesive energy. The effective potentials between the atoms in the solid are determined using lattice inversion techniques as a function of scaling variables in the above formula. These potentials are split into repulsive and attractive parts as per the Weeks-Chandler-Anderson prescription, and used in the coupling-parameter expansion for solving the Ornstein-Zernike equation supplemented with an accurate closure. Thermodynamic quantities obtained via the correlation functions are used to obtain critical point parameters and liquid-vapor phase diagrams. Their dependence on the scaling variables in the cohesive energy formula are also determined. Equally important second objective of the paper is to revisit coupling parameter expansion for solving the Ornstein-Zernike equation. The Newton-Armijo non-linear solver and Krylov-space based linear solvers are employed in this regard. These methods generate a robust algorithm that can be used to span the entire fluid region, except very low temperatures. Accuracy of the method is established by comparing the phase diagrams with those obtained via computer simulation. Avoidance of the 'no-solution-region' of Ornstein-Zernike equation in coupling-parameter expansion is also discussed. Details of the method and the complete algorithm provided here would make this technique more accessible to researchers investigating thermodynamic properties of one component fluids.

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