1,265,967 research outputs found
More about on the short distance contribution to the "B_c -> B_u^* gamma" decay
We calculate the transition form factor for the 'B_c -> B_u^* gamma' decay
taking into account only the short distance contribution, in framework of QCD
sum rules method. We observe that the transition form factor predicted by the
QCD sum rules method is approximately two times larger compared to the result
predicted by the Isgur, Scora, Grinstein and Wise model.Comment: 12 pages, 2 figures, LaTeX formatte
Simplified diagrammatic expansion for effective operator
For a quantum many-body problem, effective Hamiltonians that give exact
eigenvalues in reduced model space usually have different expressions, diagrams
and evaluation rules from effective transition operators that give exact
transition matrix elements between effective eigenvectors in reduced model
space. By modifying these diagrams slightly and considering the linked diagrams
for all the terms of the same order, we find that the evaluation rules can be
made the same for both effective Hamiltonian and effective transition operator
diagrams, and in many cases it is possible to combine many diagrams into one
modified diagram. We give the rules to evaluate these modified diagrams and
show their validity.Comment: 5 journal pages, 4 figure
Coupling any number of balls in the infinite-bin model
The infinite-bin model, introduced by Foss and Konstantopoulos, describes the
Markovian evolution of configurations of balls placed inside bins, obeying
certain transition rules. We prove that we can couple the behaviour of any
finite number of balls, provided at least two different transition rules are
allowed. This coupling makes it possible to define the regeneration events
needed by Foss and Zachary to prove convergence results for the distribution of
the balls.Comment: 12 pages, 2 figure
Light-Cone Sum Rules for the Form Factors of the transition at Q^2=0
The radiative transition is examined at the real photon
point using the framework of light-cone QCD sum rules. In particular,
we determine the sum rules for the transition form factors and
up to twist 4.Comment: Talk given at the Workshop on Exclusive Reactions at High Momentum
Transfer 200
Magnetooptical sum rules close to the Mott transition
We derive new sum rules for the real and imaginary parts of the
frequency-dependent Hall constant and Hall conductivity. As an example, we
discuss their relevance to the doped Mott insulator that we describe within the
dynamical mean-field theory of strongly correlated electron systems.Comment: 4 pages, 4 ps figures; accepted for publication in PR
"Taylored rules". Does one fit (or hide) all?
Modern monetary policymakers consider a huge amount of information to evaluate events and contingencies. Yet most research on monetary policy relies on simple instrument rules and one relevant underpinning for this choice is the good empirical fit of the Taylor rule. This paper challenges the solidness of this foundation. We investigate the way the coefficients of the Taylor-type rules change over time according to the evolution of general economic conditions. We model the Federal Reserve reaction function during the Greenspan’s tenure as a Logistic Smoothing Transition Regime model in which a series of economic meaningful transition variables drive the transition across monetary regimes. We argue that estimated linear rules are weighted averages of the actual rules working in the diverse monetary regimes, where the weights merely reflect the length and not necessarily the relevance of the regimes. Accordingly, an estimated linear Taylor-type reaction function tends to resemble the rule adopted in the longest regime. Thus, the actual presence of finer monetary policy regimes corrupts the general predictive and descriptive power of linear Taylor-type rules. These latter, by hiding the specific rules at work in the various finer regimes, lose utility directly with the uncertainty in the economy.Instrument Rules, LSTR, Monetary Policy Regime, Risk Management, Taylor Rule
Land Use Dynamics: a Cellular Automata
Usually applications of urban growth cellular automata are related to an only one town, with transition rules and constraints a priori defined. This seems to be a severe limits in applications. The paper presented is born to follow a different kind of approach, so to have rules and constraints directly from observed past data. We consider ten European towns and for each one we have data for time series approx. 40 years long. We deduce rules and constraints directly from the data set, solving an inverse problem (in which we have input and output measures and we have to determine a system model).The study aims to define in detail the stochastic or deterministic character of transition rules (in the stochastic case evaluating transition probability). At last the rules are applied to towns maps (by means of ad hoc cellular automaton). With this cellular automaton we try to simulate past dynamics (for a validation of the model) and also to forecast the spatial development of the towns by means of scenarios (based on the past histories of the cities).
Pseudorandom number generation with self programmable cellular automata
In this paper, we propose a new class of cellular automata – self programming cellular automata (SPCA) with specific application to pseudorandom number generation. By changing a cell's state transition rules in relation to factors such as its neighboring cell's states, behavioral complexity can be increased and utilized. Interplay between the state transition neighborhood and rule selection neighborhood leads to a new composite neighborhood and state transition rule that is the linear combination of two different mappings with different temporal dependencies. It is proved that when the transitional matrices for both the state transition and rule selection neighborhood are non-singular, SPCA will not exhibit non-group behavior. Good performance can be obtained using simple neighborhoods with certain CA length, transition rules etc. Certain configurations of SPCA pass all DIEHARD and ENT tests with an implementation cost lower than current reported work. Output sampling methods are also suggested to improve output efficiency by sampling the outputs of the new rule selection neighborhoods
Sum rules for baryon decuplet magnetic moments
In chiral models with SU(3) group structure, baryon decuplet and octet
magnetic moments are evaluated by constructing their sum rules to yield
theoretical predictions. In these sum rules we exploit six experimentally known
baryon magnetic moments. Sum rules for flavor components and strange form
factors of the octet and decuplet magnetic moments and decuplet-to-octet
transition magnetic moments are also investigated.Comment: 12 page
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