Relativistic diffusion model

1999 ◽  
Vol 5 (1) ◽  
pp. 85-90 ◽  
Author(s):  
G. Wolschin
Keyword(s):  
Diffusion Model ◽  
Relativistic Diffusion Model

scholarly journals Analysis of pPb collisions at LHC energies in the relativistic diffusion model

2015 ◽  
Vol 51 (2) ◽  
Author(s):  
P. Schulz ◽  
G. Wolschin
Keyword(s):  
Diffusion Model ◽  
Relativistic Diffusion Model

Relativistic diffusion model with nonlinear drift

2017 ◽  
Vol 53 (2) ◽  
Author(s):  
F. Forndran ◽  
G. Wolschin
Keyword(s):  
Diffusion Model ◽  
Relativistic Diffusion Model

scholarly journals Diffusion-model analysis of pPb and PbPb collisions at LHC energies

2018 ◽  
Vol 33 (17) ◽  
pp. 1850098 ◽  
Author(s):  
P. Schulz ◽  
G. Wolschin
Keyword(s):  
Large Hadron Collider ◽  
Diffusion Model ◽  
Hadron Collider ◽  
Model Analysis ◽  
Minimum Bias ◽  
Centrality Dependence ◽  
Pseudorapidity Distributions ◽  
Limiting Fragmentation ◽  
Relativistic Diffusion Model

We present an analysis of centrality-dependent pseudorapidity distributions of produced charged hadrons in pPb and PbPb collisions at the Large Hadron Collider (LHC) energy of [Formula: see text] = 5.02 TeV, and of minimum-bias pPb collisions at 8.16 TeV within the non-equilibrium-statistical relativistic diffusion model (RDM). In a three-source approach, the role of the fragmentation sources is emphasized. Together with the Jacobian transformation from rapidity to pseudorapidity and the limiting fragmentation conjecture, these are essential for modeling the centrality dependence. For central PbPb collisions, a prediction at the projected FCC energy of [Formula: see text] = 39 TeV is made.

A new lithium diffusion model in layered oxides based on asymmetric but reversible transition metal migration

2020 ◽  
Vol 13 (4) ◽  
pp. 1269-1278 ◽  
Author(s):  
Kyojin Ku ◽  
Byunghoon Kim ◽  
Sung-Kyun Jung ◽  
Yue Gong ◽  
Donggun Eum ◽  
...  
Keyword(s):  
Transition Metal ◽  
Diffusion Model ◽  
Layered Oxides ◽  
Layered Oxide ◽  
Reversible Transition ◽  
Lithium Diffusion ◽  
Metal Migration

We propose a new lithium diffusion model involving coupled lithium and transition metal migration, peculiarly occurring in a lithium-rich layered oxide.

Does the Name-Race Implicit Association Test Measure Racial Prejudice?

2011 ◽  
Vol 58 (4) ◽  
pp. 271-277 ◽  
Author(s):  
Don van Ravenzwaaij ◽  
Han L. J. van der Maas ◽  
Eric-Jan Wagenmakers
Keyword(s):  
Diffusion Model ◽  
Implicit Association Test ◽  
Alternative Explanation ◽  
Group Membership ◽  
Racial Prejudice ◽  
Decision Time ◽  
Association Test ◽  
Implicit Association ◽  
Model Decomposition ◽  
Test Measure

Research using the Implicit Association Test (IAT) has shown that names labeled as Caucasian elicit more positive associations than names labeled as non-Caucasian. One interpretation of this result is that the IAT measures latent racial prejudice. An alternative explanation is that the result is due to differences in in-group/out-group membership. In this study, we conducted three different IATs: one with same-race Dutch names versus racially charged Moroccan names; one with same-race Dutch names versus racially neutral Finnish names; and one with Moroccan names versus Finnish names. Results showed equivalent effects for the Dutch-Moroccan and Dutch-Finnish IATs, but no effect for the Finnish-Moroccan IAT. This suggests that the name-race IAT-effect is not due to racial prejudice. A diffusion model decomposition indicated that the IAT-effects were caused by changes in speed of information accumulation, response conservativeness, and non-decision time.

Impact of Context Information on Metaphor Elaboration

2018 ◽  
Vol 65 (6) ◽  
pp. 370-384 ◽  
Author(s):  
Veronika Lerche ◽  
Ursula Christmann ◽  
Andreas Voss
Keyword(s):  
Diffusion Model ◽  
Processing Speed ◽  
A Priori ◽  
Model Fit ◽  
Verbal Task ◽  
Context Information ◽  
Speed Of Processing ◽  
Good Account ◽  
Dependent Variables ◽  
Decision Settings

Abstract. In experiments by Gibbs, Kushner, and Mills (1991) , sentences were supposedly either authored by poets or by a computer. Gibbs et al. (1991) concluded from their results that the assumed source of the text influences speed of processing, with a higher speed for metaphorical sentences in the Poet condition. However, the dependent variables used (e.g., mean RTs) do not allow clear conclusions regarding processing speed. It is also possible that participants had prior biases before the presentation of the stimuli. We conducted a conceptual replication and applied the diffusion model ( Ratcliff, 1978 ) to disentangle a possible effect on processing speed from a prior bias. Our results are in accordance with the interpretation by Gibbs et al. (1991) : The context information affected processing speed, not a priori decision settings. Additionally, analyses of model fit revealed that the diffusion model provided a good account of the data of this complex verbal task.

A Diffusion Model Analysis of Developmental Changes in Number Processing

2012 ◽  
Author(s):  
Roger Ratcliff ◽  
Clarissa A. Thompson ◽  
Gail McKoon
Keyword(s):  
Diffusion Model ◽  
Model Analysis ◽  
Number Processing ◽  
Developmental Changes
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