93 citations · 158 across the 6 of their papers we have counts for
6 papers
Evaluating strong measurement noise in data series with simulated annealing method
J. Carvalho, F. Raischel, M. Haase +1
Many stochastic time series can be described by a Langevin equation composed of a deterministic and a stochastic dynamical part. Such a stochastic process can be reconstructed by m…
Searching for optimal variables in real multivariate stochastic data
Frank Raischel, Ana Russo, Maria Haase +2
By implementing a recent technique for the determination of stochastic eigendirections of two coupled stochastic variables, we investigate the evolution of fluctuations of NO2 conc…
Principal axes for stochastic dynamics
V. V. Vasconcelos, F. Raischel, M. Haase +4
We introduce a general procedure for directly ascertaining how many independent stochastic sources exist in a complex system modeled through a set of coupled Langevin equations of…
Extracting strong measurement noise from stochastic series: applications to empirical data
Pedro G. Lind, Maria Haase, Frank Böttcher +3
It is a big challenge in the analysis of experimental data to disentangle the unavoidable measurement noise from the intrinsic dynamical noise. Here we present a general operationa…
On the proper reconstruction of complex dynamical systems spoilt by strong measurement noise
Frank Boettcher, Joachim Peinke, David Kleinhans +3
This article reports on a new approach to properly analyze time series of dynamical systems which are spoilt by the simultaneous presence of dynamical noise and measurement noise.…
Discrete model for laser driven etching and microstructuring of metallic surfaces
Alejandro Mora, Thomas Rabbow, Peter J. Plath +1
We present a unidimensional discrete solid-on-solid model evolving in time using a kinetic Monte Carlo method to simulate micro-structuring of kerfs on metallic surfaces by means o…