Arrival Time Estimates of Earth-Directed CME-Driven Shocks

Solar Physics ◽  
2022 ◽  
Vol 297 (1) ◽  
Author(s):  
K. Suresh ◽  
N. Gopalswamy ◽  
A. Shanmugaraju
Keyword(s):  
Arrival Time ◽  
Time Estimates

scholarly journals Shear wave arrival time estimates correlate with local speckle pattern

2015 ◽  
Vol 62 (12) ◽  
pp. 2054-2067 ◽  
Author(s):  
Stephen A. Mcaleavey ◽  
Laurentius O. Osapoetra ◽  
Jonathan Langdon
Keyword(s):  
Shear Wave ◽  
Arrival Time ◽  
Speckle Pattern ◽  
Time Estimates ◽  
Wave Arrival

scholarly journals Front propagation and arrival times in networks with application to neurodegenerative diseases

2022 ◽  
Author(s):  
Prama Setia Putra ◽  
Hadrien Oliveri ◽  
Travis B Thompson ◽  
Alain Goriely
Keyword(s):  
Neurodegenerative Diseases ◽  
Arrival Time ◽  
Initial Conditions ◽  
Front Propagation ◽  
Small Concentration ◽  
Single Node ◽  
Arrival Times ◽  
Toxic Protein ◽  
Time Estimates ◽  
Analytical Complexity

Many physical, epidemiological, or physiological dynamical processes on networks support front-like propagation, where an initial localized perturbation grows and systematically invades all nodes in the network. A key question is then to extract estimates for the dynamics. In particular, if a single node is seeded at a small concentration, when will other nodes reach the same initial concentration? Here, motivated by the study of toxic protein propagation in neurodegenerative diseases, we present and compare three different estimates for the arrival time in order of increasing analytical complexity: the linear arrival time, obtained by linearizing the underlying system; the Lambert time, obtained by considering the interaction of two nodes; and the nonlinear arrival time, obtained by asymptotic techniques. We use the classic Fisher-Kolmogorov-Petrovsky-Piskunov equation as a paradigm for the dynamics and show that each method provides different insight and time estimates. Further, we show that the nonlinear asymptotic method also gives an approximate solution valid in the entire domain and the correct ordering of arrival regions over large regions of parameters and initial conditions.

Seismological measurements and measurement error

1968 ◽  
Vol 58 (4) ◽  
pp. 1261-1271 ◽  
Author(s):  
Helen W. Freedman
Keyword(s):  
Probability Distribution ◽  
Related Problem ◽  
Arrival Time ◽  
Focal Depth ◽  
Degree Of Contamination ◽  
Origin Time ◽  
Arrival Times ◽  
Time Estimates ◽  
Error Variable ◽  
Hypocentral Location

Abstract A seismological measurement, such as arrival time or, less directly origin time, is an example of a measurement variable which can be considered as the sum of a parameter—the quantity being measured—and an error variable. Optimal methods for the estimation of this parameter vary with the probability distribution of the error variable. In particular, estimation in the presence of bias or of gross errors is discussed, together with the related problem of precision versus accuracy of the estimate. Errors in estimates of arrival times, origin times and hypocentral location contribute to variation in travel-time estimates; these are analyzed separately. Each of these, with the exception of focal depth, has a distribution which can be fitted to a mixture of a normal distribution and some contamination. The degree of contamination varies; methods for truncation are suggested. The presence of possible, often undetectable, bias in locations and travel times may make confidence statements about these parameters unreliable.

An Arrival Time and Duration Estimation of a Signal

2000 ◽  
Vol 54 (8-9) ◽  
pp. 122-133
Author(s):  
Andrey Pavlovich Trifonov ◽  
Yurii Eduardovich Korchagin
Keyword(s):  
Arrival Time ◽  
Duration Estimation

RELIABILITY OF TIME ESTIMATES

1957 ◽  
Vol 7 ◽  
pp. 23 ◽  
Author(s):  
PAUL BAKAN
Keyword(s):  
Time Estimates
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