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Statistical features of systems driven by non-Gaussian processes: theory & practice
Dario Lucente, Andrea Puglisi, Massimiliano Viale +1
Nowadays many tools, e.g. fluctuation relations, are available to characterize the statistical properties of non-equilibrium systems. However, most of these tools rely on the assum…
Revealing the Nonequilibrium Nature of a Granular Intruder: The Crucial Role of Non-Gaussian Behavior
Dario Lucente, Massimiliano Viale, Andrea Gnoli +2
The characterization of the distance from equilibrium is a debated problem in particular in the treatment of experimental signals. If the signal is a 1-dimensional time-series, suc…
Inference in non-equilibrium systems from incomplete information: the case of linear systems and its pitfalls
Dario Lucente, Andrea Baldassarri, Andrea Puglisi +2
Data from experiments and theoretical arguments are the two pillars sustaining the job of modelling physical systems through inference. In order to solve the inference problem, the…
Vicsek Model by Time-Interlaced Compression: a Dynamical Computable Information Density
Andrea Cavagna, Paul M. Chaikin, Dov Levine +3
Collective behavior, both in real biological systems as well as in theoretical models, often displays a rich combination of different kinds of order. A clear-cut and unique definit…
Dynamic scaling in natural swarms
A. Cavagna, D. Conti, C. Creato +6
Collective behaviour in biological systems pitches us against theoretical challenges way beyond the borders of ordinary statistical physics. The lack of concepts like scaling and r…
Non-symmetric interactions trigger collective swings in globally ordered systems
Andrea Cavagna, Irene Giardina, Asja Jelic +2
Many systems in nature, from ferromagnets to flocks of birds, exhibit ordering phenomena on the large scale. In physical systems order is statistically robust for large enough dime…