Helium Open System Model for the HIMU Source

1998 ◽  
Vol 62A (1) ◽  
pp. 569-570
Author(s):  
T. Hanyu
Keyword(s):  
Open System ◽  
System Model

scholarly journals An open system model of decision-making and temporal oscillations in preference strength

2020 ◽  
Author(s):  
Peter D. Kvam ◽  
Jerome R Busemeyer ◽  
Timothy Joseph Pleskac
Keyword(s):  
Decision Making ◽  
Open System ◽  
Epistemic Uncertainty ◽  
System Model ◽  
Dynamic Changes ◽  
Model Merging ◽  
Constructive Process ◽  
Preference Strength ◽  
Over Time ◽  
Suppression Effects

Contemporary theories of choice posit that decision making is a constructive process in which a decision maker uses information about the choice options to generate support for various decisions and judgments, then uses these decisions and judgments to reduce their uncertainty about their own preferences. Here we examine how these constructive processes unfold by tracking dynamic changes in preference strength. Across two experiments, we observed that mean preference strength oscillated over time and found that eliciting a choice strongly affected the pattern of oscillation. Preferences following choices oscillated between being stronger than those without prior choice (bolstering) and being weaker than those without choice (suppression). An open system model, merging epistemic uncertainty about how a person reacts to options and ontic uncertainty about how their preference is affected by choice, accounts for the oscillations resulting in both bolstering and suppression effects.

Modeling of mineral δ18O values in an igneous aureole: Closed-system model predicts apparent open-system δ18O values

Geology ◽  
1991 ◽  
Vol 19 (12) ◽  
pp. 1185 ◽  
Author(s):  
Gawen R.T. Jenkin ◽  
Claire Linklater ◽  
Anthony E. Fallick
Keyword(s):  
Open System ◽  
Closed System ◽  
System Model

Finite Temperature Dynamics of the Total State in an Open System Model

2005 ◽  
Vol 12 (01) ◽  
pp. 65-80 ◽  
Author(s):  
Walter T. Strunz
Keyword(s):  
Open System ◽  
Finite Temperature ◽  
Density Operator ◽  
Point Of View ◽  
System Model ◽  
Markov Approximation ◽  
Zero Temperature ◽  
Stochastic Schrödinger Equation ◽  
Total State ◽  
Reduced Density

We determine the dynamics of the total state of a system and environment for an open system model, at finite temperature. Based on a partial Husimi representation, our framework describes the full dynamics very efficiently through equations in the Hilbert space of the open system only. We briefly review the zero-temperature case and present the corresponding new finite temperature theory, within the usual Born-Markov approximation. As we will show, from a reduced point of view, our approach amounts to the derivation of a stochastic Schrödinger equation description of the dynamics. We show how the reduced density operator evolves according to the expected (finite temperature) master equation of Lindblad form.

scholarly journals Open System Model for Quantum Dynamical Maps with Classical Noise and Corresponding Master Equations

2017 ◽  
Vol 24 (04) ◽  
pp. 1740012 ◽  
Author(s):  
Chahan M. Kropf ◽  
Vyacheslav N. Shatokhin ◽  
Andreas Buchleitner
Keyword(s):  
Master Equation ◽  
Quantum System ◽  
Open System ◽  
Open Quantum System ◽  
Master Equations ◽  
Time Limit ◽  
System Model ◽  
Markov Approximation ◽  
Quantum Dynamical ◽  
Short Time

We show how random unitary dynamics arise from the coupling of an open quantum system to a static environment. Subsequently, we derive a master equation for the reduced system random unitary dynamics and study three specific cases: commuting system and interaction Hamiltonians, the short-time limit, and the Markov approximation.

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