scholarly journals PION INTERFEROMETRY AS A PROBE OF TIME VARYING SOURCES

1992 ◽  
Vol 07 (16) ◽  
pp. 1471-1484 ◽  
Author(s):  
J.A. CASADO
Keyword(s):  
Time Dependence ◽  
Time Distribution ◽  
Functional Form ◽  
Center Of Mass ◽  
Space Time ◽  
Time Varying ◽  
Pion Interferometry ◽  
Explicit Time Dependence ◽  
Bose Einstein ◽  
The Way

We discuss the way in which Bose-Einstein correlations among identical pions are affected by the presence of an explicit time dependence in the pion source’s space-time distribution. A particular functional form for this distribution has been assumed in order to compute both the longitudinal and transverse radii. In addition, the variations of these radii with the two pions center-of-mass rapidity is studied.

scholarly journals Model of Postsynaptic Membrane Deactivation

2018 ◽  
Vol 63 (10) ◽  
pp. 919 ◽  
Author(s):  
A. N. Vasilev ◽  
O. V. Kulish
Keyword(s):  
Time Dependence ◽  
Time Distribution ◽  
Nerve Impulse ◽  
Synaptic Cleft ◽  
Postsynaptic Membrane ◽  
Space Time ◽  
Mediator Release ◽  
Activation Time

A model has been proposed to describe the deactivation of a postsynaptic membrane after its excitation by transmitting a nerve impulse across the synapse. In particular, the process of mediator release in the form of choline from the postsynaptic membrane and its diffusive excretion from the synaptic cleft are considered. The time dependence of the number of activated receptors, the dependence of the maximum number of activated receptors on the activation time, and the space-time distribution of the choline concentration in the synaptic cleft are calculated.

BOSE-EINSTEIN CORRELATIONS OF POSITIVE PIONS IN COLLISIONS OF Nb+Nb AND Au+Au AT 650 A MeV

1988 ◽  
Vol 03 (18) ◽  
pp. 1745-1752 ◽  
Author(s):  
R. BOCK ◽  
G. CLAESSON ◽  
K.G.R. DOSS ◽  
H.-Å. GUSTAFSSON ◽  
H.H. GUTBROD ◽  
...  
Keyword(s):  
Kinetic Energy ◽  
Center Of Mass ◽  
Mass System ◽  
Pion Interferometry ◽  
Plastic Ball ◽  
Significant Change ◽  
Bose Einstein ◽  
Selection Of

Two-pion interferometry analysis of the Plastic Ball data for Au+Au and Nb+Nb interactions at 650 A MeV kinetic energy is presented. The values of 3.4±0.4 fm and 4.8±0.6 fm for pion source sizes and 3.6±0.8 fm /c and 5.7±0.7 fm /c for lifetimes are obtained for the Nb+Nb and Au+Au cases, respectively. No significant change in radius as a function of multiplicity has been observed. However, the selection of π+ with low momenta in the center of mass system reveals an enlarged radius for the Au+Au system but no such increase for Nb+Nb .

scholarly journals Geodetic inversion for space-time distribution of fault slip with time-varying smoothing regularization

2008 ◽  
Vol 173 (1) ◽  
pp. 25-48 ◽  
Author(s):  
Jun'ichi Fukuda ◽  
Shin'ichi Miyazaki ◽  
Tomoyuki Higuchi ◽  
Teruyuki Kato
Keyword(s):  
Time Distribution ◽  
Space Time ◽  
Fault Slip ◽  
Time Varying ◽  
Geodetic Inversion

A spectroscopic study of the global space-time distribution of atmospheric CO

Tellus ◽  
1981 ◽  
Vol 33 (3) ◽  
pp. 262-273 ◽  
Author(s):  
V. I. Dianov-KLOKOV ◽  
L. N. Yurganov
Keyword(s):  
Spectroscopic Study ◽  
Time Distribution ◽  
Space Time ◽  
Global Space

Estimation of Path Travel Time Distributions in Stochastic Time-Varying Networks with Correlations

2021 ◽  
pp. 036119812110184
Author(s):  
Monika Filipovska ◽  
Hani S. Mahmassani ◽  
Archak Mittal
Keyword(s):  
Time Dependence ◽  
Travel Time ◽  
Correlation Structure ◽  
Time Varying ◽  
Travel Times ◽  
Trajectory Data ◽  
Time Varying Networks ◽  
Transportation Research ◽  
Search Approach ◽  
Stochastic Time

Transportation research has increasingly focused on the modeling of travel time uncertainty in transportation networks. From a user’s perspective, the performance of the network is experienced at the level of a path, and, as such, knowledge of variability of travel times along paths contemplated by the user is necessary. This paper focuses on developing approaches for the estimation of path travel time distributions in stochastic time-varying networks so as to capture generalized correlations between link travel times. Specifically, the goal is to develop methods to estimate path travel time distributions for any path in the networks by synthesizing available trajectory data from various portions of the path, and this paper addresses that problem in a two-fold manner. Firstly, a Monte Carlo simulation (MCS)-based approach is presented for the convolution of time-varying random variables with general correlation structures and distribution shapes. Secondly, a combinatorial data-mining approach is developed, which aims to utilize sparse trajectory data for the estimation of path travel time distributions by implicitly capturing the complex correlation structure in the network travel times. Numerical results indicate that the MCS approach allowing for time-dependence and a time-varying correlation structure outperforms other approaches, and that its performance is robust with respect to different path travel time distributions. Additionally, using the path segmentations from the segment search approach with a MCS approach with time-dependence also produces accurate and robust estimates of the path travel time distributions with the added benefit of shorter computation times.

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