scholarly journals Kaon Photoproduction and the Λ Decay Parameter α−

2019 ◽  
Vol 123 (18) ◽  
Author(s):  
D. G. Ireland ◽  
M. Döring ◽  
D. I. Glazier ◽  
J. Haidenbauer ◽  
M. Mai ◽  
...  
Keyword(s):  
Decay Parameter

eMap: A Web Application for Identifying and Visualizing Electron or Hole Hopping Pathways in Proteins

2019 ◽  
Author(s):  
Ruslan N. Tazhigulov ◽  
James R. Gayvert ◽  
Melissa Wei ◽  
Ksenia B. Bravaya
Keyword(s):  
Web Application ◽  
Shortest Paths ◽  
Coarse Grained ◽  
Decay Parameter ◽  
Electron Hole ◽  
Web Based ◽  
Aromatic Amino Acid Residue ◽  
Pathways Model ◽  
Visualization Tools ◽  
Effective Decay

<p>eMap is a web-based platform for identifying and visualizing electron or hole transfer pathways in proteins based on their crystal structures. The underlying model can be viewed as a coarse-grained version of the Pathways model, where each tunneling step between hopping sites represented by electron transfer active (ETA) moieties is described with one effective decay parameter that describes protein-mediated tunneling. ETA moieties include aromatic amino acid residue side chains and aromatic fragments of cofactors that are automatically detected, and, in addition, electron/hole residing sites that can be specified by the users. The software searches for the shortest paths connecting the user-specified electron/hole source to either all surface-exposed ETA residues or to the user-specified target. The identified pathways are ranked based on their length. The pathways are visualized in 2D as a graph, in which each node represents an ETA site, and in 3D using available protein visualization tools. Here, we present the capability and user interface of eMap 1.0, which is available at https://emap.bu.edu.</p>

Experimental and numerical investigations on decay parameter distributions in coupled‐volume systems.

2011 ◽  
Vol 129 (4) ◽  
pp. 2534-2534
Author(s):  
Angela Ostrowski ◽  
Jose Escolano ◽  
Ning Xiang ◽  
Jonas Braasch
Keyword(s):  
Decay Parameter ◽  
Numerical Investigations ◽  
Parameter Distributions

scholarly journals The spectral decay parameter κ in the region of Umbria-Marche, Italy

2000 ◽  
Vol 105 (B10) ◽  
pp. 23811-23823 ◽  
Author(s):  
Raul R. Castro ◽  
Luca Trojani ◽  
Giancarlo Monachesi ◽  
Marco Mucciarelli ◽  
Marco Cattaneo
Keyword(s):  
Decay Parameter

Evaluation of the decay parameter for some specialized birth-death processes

1992 ◽  
Vol 29 (4) ◽  
pp. 781-791 ◽  
Author(s):  
Masaaki Kijima
Keyword(s):  
State Space ◽  
Stationary Distribution ◽  
The State ◽  
Death Process ◽  
Decay Parameter ◽  
Speed Of Convergence ◽  
Tridiagonal Matrices ◽  
Decay Parameters ◽  
Quasi Stationary Distribution ◽  
Birth Death

Let N(t) be an exponentially ergodic birth-death process on the state space {0, 1, 2, ···} governed by the parameters {λn, μn}, where µ0 = 0, such that λn = λ and μn = μ for all n ≧ N, N ≧ 1, with λ < μ. In this paper, we develop an algorithm to determine the decay parameter of such a specialized exponentially ergodic birth-death process, based on van Doorn's representation (1987) of eigenvalues of sign-symmetric tridiagonal matrices. The decay parameter is important since it is indicative of the speed of convergence to ergodicity. Some comparability results for the decay parameters are given, followed by the discussion for the decay parameter of a birth-death process governed by the parameters such that limn→∞λn = λ and limn→∞µn = μ. The algorithm is also shown to be a useful tool to determine the quasi-stationary distribution, i.e. the limiting distribution conditioned to stay in {1, 2, ···}, of such specialized birth-death processes.

Estimating tail decay for stationary sequences via extreme values

2004 ◽  
Vol 36 (1) ◽  
pp. 198-226 ◽  
Author(s):  
Assaf Zeevi ◽  
Peter W. Glynn
Keyword(s):  
Convergence Rates ◽  
Marginal Distribution ◽  
Extreme Values ◽  
Moving Average ◽  
Time Interval ◽  
Decay Parameter ◽  
Mixing Conditions ◽  
Stationary Sequences ◽  
Limit Theory ◽  
Consistency Properties

We study estimation of the tail-decay parameter of the marginal distribution corresponding to a discrete-time, real-valued stationary stochastic process. Assuming that the underlying process is short-range dependent, we investigate properties of estimators of the tail-decay parameter which are based on the maximal extreme value of the process observed over a sampled time interval. These estimators only assume that the tail of the marginal distribution is roughly exponential, plus some modest ‘mixing’ conditions. Consistency properties of these estimators are established, as well as minimax convergence rates. We also provide some discussion on estimating the pre-exponent, when a more refined tail asymptotic is assumed. Properties of a certain moving-average variant of the extremal-based estimator are investigated as well. In passing, we also characterize the precise dependence (mixing) assumptions that support almost-sure limit theory for normalized extreme values and related first-passage times in stationary sequences.

Domain of Attraction of the Quasistationary Distribution for Birth-and-Death Processes

2013 ◽  
Vol 50 (01) ◽  
pp. 114-126 ◽  
Author(s):  
Hanjun Zhang ◽  
Yixia Zhu
Keyword(s):  
Probability Measure ◽  
Domain Of Attraction ◽  
Death Process ◽  
Extinction Time ◽  
Decay Parameter ◽  
Birth And Death Processes ◽  
Absorbing State ◽  
Positive Integers ◽  
Initial Distributions ◽  
Birth Death

We consider a birth–death process {X(t),t≥0} on the positive integers for which the origin is an absorbing state with birth coefficients λ n ,n≥0, and death coefficients μ n ,n≥0. If we define A=∑ n=1 ∞ 1/λ n π n and S=∑ n=1 ∞ (1/λ n π n )∑ i=n+1 ∞ π i , where {π n ,n≥1} are the potential coefficients, it is a well-known fact (see van Doorn (1991)) that if A=∞ and S&lt;∞, then λ C &gt;0 and there is precisely one quasistationary distribution, namely, {a j (λ C )}, where λ C is the decay parameter of {X(t),t≥0} in C={1,2,...} and a j (x)≡μ1 -1π j xQ j (x), j=1,2,.... In this paper we prove that there is a unique quasistationary distribution that attracts all initial distributions supported in C, if and only if the birth–death process {X(t),t≥0} satisfies bothA=∞ and S&lt;∞. That is, for any probability measure M={m i , i=1,2,...}, we have lim t→∞ℙ M (X(t)=j∣ T&gt;t)= a j (λ C ), j=1,2,..., where T=inf{t≥0 : X(t)=0} is the extinction time of {X(t),t≥0} if and only if the birth–death process {X(t),t≥0} satisfies both A=∞ and S&lt;∞.

High Frequency Decay Parameter (Kappa) for Ahar–Varzaghan Double Earthquakes, Iran (MW 6.5 & 6.3)

2016 ◽  
Vol 10 (02) ◽  
pp. 1640006 ◽  
Author(s):  
Meghdad Samaei ◽  
Masakatsu Miyajima ◽  
Azad Yazdani ◽  
Farhad Jaafari
Keyword(s):  
High Frequency ◽  
Classical Method ◽  
Strong Motion ◽  
Decay Parameter ◽  
First Line ◽  
Noise Floor ◽  
Strong Motion Records ◽  
Northwestern Iran ◽  
Double Earthquakes ◽  
Automated Procedures

The high frequency decay parameter, kappa and its variations in distance is evaluated using 114 three component strong motion records from two strong events in Northwestern Iran. We show that in classical method of estimating kappa, the results are very sensitive to the choices of [Formula: see text] (where spectrum starts to fall) and [Formula: see text] (where spectrum reaches the noise floor) and automated procedures for estimating kappa are likely to lead to a biased estimation. For the present database, we found an obvious concavity in dependency of kappa on distance. The kappa values in distance were regressed to a trilinear shape for which the first line has a zero slope. Based on this trilinear shape the zero distance kappa are 0.043 and 0.026 for horizontal and vertical components, respectively.

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