851 research outputs found
Forward Flux Sampling-type schemes for simulating rare events: Efficiency analysis
We analyse the efficiency of several simulation methods which we have
recently proposed for calculating rate constants for rare events in stochastic
dynamical systems, in or out of equilibrium. We derive analytical expressions
for the computational cost of using these methods, and for the statistical
error in the final estimate of the rate constant, for a given computational
cost. These expressions can be used to determine which method to use for a
given problem, to optimize the choice of parameters, and to evaluate the
significance of the results obtained. We apply the expressions to the
two-dimensional non-equilibrium rare event problem proposed by Maier and Stein.
For this problem, our analysis gives accurate quantitative predictions for the
computational efficiency of the three methods.Comment: 19 pages, 13 figure
Radial Squeezed States and Rydberg Wave Packets
We outline an analytical framework for the treatment of radial Rydberg wave
packets produced by short laser pulses in the absence of external electric and
magnetic fields. Wave packets of this type are localized in the radial
coordinates and have p-state angular distributions. We argue that they can be
described by a particular analytical class of squeezed states, called radial
squeezed states. For hydrogenic Rydberg atoms, we discuss the time evolution of
the corresponding hydrogenic radial squeezed states. They are found to undergo
decoherence and collapse, followed by fractional and full revivals. We also
present their uncertainty product and uncertainty ratio as functions of time.
Our results show that hydrogenic radial squeezed states provide a suitable
analytical description of hydrogenic Rydberg atoms excited by short-pulsed
laser fields.Comment: published in Physical Review
Reaction coordinates for the flipping of genetic switches
We present a detailed analysis, based on the Forward Flux Sampling (FFS)
simulation method, of the switching dynamics and stability of two models of
genetic toggle switches, consisting of two mutually-repressing genes encoding
transcription factors (TFs); in one model (the exclusive switch), they mutually
exclude each other's binding, while in the other model (general switch) the two
transcription factors can bind simultaneously to the shared operator region. We
assess the role of two pairs of reactions that influence the stability of these
switches: TF-TF homodimerisation and TF-DNA association/dissociation. We
factorise the flipping rate k into the product of the probability rho(q*) of
finding the system at the dividing surface (separatrix) between the two stable
states, and a kinetic prefactor R. In the case of the exclusive switch, the
rate of TF-operator binding affects both rho(q*) and R, while the rate of TF
dimerisation affects only R. In the case of the general switch both TF-operator
binding and TF dimerisation affect k, R and rho(q*). To elucidate this, we
analyse the transition state ensemble (TSE). For the exclusive switch, varying
the rate of TF-operator binding can drastically change the pathway of
switching, while changing the rate of dimerisation changes the switching rate
without altering the mechanism. The switching pathways of the general switch
are highly robust to changes in the rate constants of both TF-operator and
TF-TF binding, even though these rate constants do affect the flipping rate;
this feature is unique for non-equilibrium systems.Comment: 24 pages, 7 figure
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