Persistent homology analysis, a recently developed computational method in algebraic topology, is applied to the study of the phase transitions undergone by the so-called mean-field XY model and by the ϕ4 lattice model, respectively. For both models the relationship between phase transitions and the topological properties of certain submanifolds of configuration space are exactly known. It turns out that these a priori known facts are clearly retrieved by persistent homology analysis of dynamically sampled submanifolds of configuration space
Topological methods can provide a way of proposing new metrics and methods of scrutinising data, tha...
2012 Spring.Includes bibliographical references.In this paper we introduce and explore the idea of p...
Topological methods can provide a way of proposing new metrics and methods of scrutinizing data, tha...
Persistent homology analysis, a recently developed computational method in algebraic topology, is ap...
10 pages; 10 figuresInternational audiencePersistent homology analysis, a recently developed computa...
We use persistent homology and persistence images as an observable of three different variants of t...
This thesis motivates and examines the use of methods from topological data analysis in detecting an...
The investigation of the Hamiltonian dynamical counterpart of phase transitions, combined with the R...
Certain geometric properties of submanifolds of configuration space are numerically investigated for...
Recently, persistent homology analysis has been used to investigate phase structure. In this study, ...
We report upon the numerical computation of the Euler characteristic chi (a topologic invariant) of ...
Different arguments led to supposing that the deep origin of phase transitions has to be identified ...
Observing critical phases in lattice models is challenging due to the need to analyze the finite tim...
Abstract Persistent homology (PH) is a method used in topological data analysis (TDA) to study quali...
Long-lived topological features are distinguished from short-lived ones (considered as topological n...
Topological methods can provide a way of proposing new metrics and methods of scrutinising data, tha...
2012 Spring.Includes bibliographical references.In this paper we introduce and explore the idea of p...
Topological methods can provide a way of proposing new metrics and methods of scrutinizing data, tha...
Persistent homology analysis, a recently developed computational method in algebraic topology, is ap...
10 pages; 10 figuresInternational audiencePersistent homology analysis, a recently developed computa...
We use persistent homology and persistence images as an observable of three different variants of t...
This thesis motivates and examines the use of methods from topological data analysis in detecting an...
The investigation of the Hamiltonian dynamical counterpart of phase transitions, combined with the R...
Certain geometric properties of submanifolds of configuration space are numerically investigated for...
Recently, persistent homology analysis has been used to investigate phase structure. In this study, ...
We report upon the numerical computation of the Euler characteristic chi (a topologic invariant) of ...
Different arguments led to supposing that the deep origin of phase transitions has to be identified ...
Observing critical phases in lattice models is challenging due to the need to analyze the finite tim...
Abstract Persistent homology (PH) is a method used in topological data analysis (TDA) to study quali...
Long-lived topological features are distinguished from short-lived ones (considered as topological n...
Topological methods can provide a way of proposing new metrics and methods of scrutinising data, tha...
2012 Spring.Includes bibliographical references.In this paper we introduce and explore the idea of p...
Topological methods can provide a way of proposing new metrics and methods of scrutinizing data, tha...