activity
20122022
most citedAnomalous scaling of dynamical large deviations

61 citations · 234 across the 11 of their papers we have counts for

collaborators

11 papers

cond-mat.stat-mech2022★ 17 cited

Noise correction of large deviations with anomalous scaling

Daniel Nickelsen, Hugo Touchette

We present a path integral calculation of the probability distribution associated with the time-integrated moments of the Ornstein-Uhlenbeck process that includes the Gaussian pref…

quant-ph2019★ 7 cited

Modelling equilibration of local many-body quantum systems by random graph ensembles

Daniel Nickelsen, Michael Kastner

We introduce structured random matrix ensembles, constructed to model many-body quantum systems with local interactions. These ensembles are employed to study equilibration of isol…

quant-ph2019★ 12 cited

Classical Lieb-Robinson Bound for Estimating Equilibration Timescales of Isolated Quantum Systems

Daniel Nickelsen, Michael Kastner

We study equilibration of an isolated quantum system by mapping it onto a network of classical oscillators in Hilbert space. By choosing a suitable basis for this mapping, the degr…

cond-mat.stat-mech2018★ 61 cited

Anomalous scaling of dynamical large deviations

Daniel Nickelsen, Hugo Touchette

The typical values and fluctuations of time-integrated observables of nonequilibrium processes driven in steady states are known to be characterized by large deviation functions, g…

cond-mat.stat-mech2017★ 13 cited

Master equation for She-Leveque scaling and its classification in terms of other Markov models of developed turbulence

Daniel Nickelsen

We derive the Markov process equivalent to She-Leveque scaling in homogeneous and isotropic turbulence. The Markov process is a jump process for velocity increments in scale…

physics.flu-dyn2017★ 33 cited

On universal features of the turbulent cascade in terms of non-equilibrium thermodynamics

Nico Reinke, Andre Fuchs, Daniel Nickelsen +1

Features of the turbulent cascade are investigated for various datasets from three different turbulent flows. The analysis is focused on the question as to whether developed turbul…

cond-mat.stat-mech2016★ 52 cited

Level 2 large deviation functionals for systems with and without detailed balance

Johannes Hoppenau, Daniel Nickelsen, Andreas Engel

Large deviation functions are an essential tool in the statistics of rare events. Often they can be obtained by contraction from a so-called level 2 large deviation {\em functional…

cond-mat.stat-mech2015

Markov Processes linking Thermodynamics and Turbulence

Daniel Nickelsen

This PhD thesis deals with the Markov picture of developed turbulence from the theoretical point of view. The thesis consists of two parts. The first part introduces stochastic the…

physics.data-an2014

Prior-predictive value from fast-growth simulations: Error analysis and bias estimation

Alberto Favaro, Daniel Nickelsen, Elena Barykina +1

Variants of fluctuation theorems recently discovered in the statistical mechanics of non-equilibrium processes may be used for the efficient determination of high-dimensional integ…

cond-mat.stat-mech2012★ 36 cited

Probing small-scale intermittency with a fluctuation theorem

D. Nickelsen, A. Engel

We characterize statistical properties of the flow field in developed turbulence using concepts from stochastic thermodynamics. On the basis of data from a free air-jet experiment,…

cond-mat.stat-mech2012★ 3 cited

Asymptotic work distributions in driven bistable systems

D. Nickelsen, A. Engel

The asymptotic tails of the probability distributions of thermodynamic quantities convey important information about the physics of nanoscopic systems driven out of equilibrium. We…