Source code for espressomd.cluster_analysis

# Copyright (C) 2010-2018 The ESPResSo project
#
# This file is part of ESPResSo.
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# ESPResSo is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
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# ESPResSo is distributed in the hope that it will be useful,
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# GNU General Public License for more details.
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from .script_interface import ScriptInterfaceHelper, script_interface_register
from .particle_data import ParticleHandle, ParticleSlice


[docs]@script_interface_register class Cluster(ScriptInterfaceHelper): """Class representing a cluster of particles Methods ------- particle_ids(): Returns list of particle ids in the cluster particles(): Returns an instance of ParticleSlice containing the paritlces in the cluster size(): Returns the number of particles in the cluster center_of_mass(): center of mass of the cluster longest_distance(): Longest distance between any combination of two particles in the cluster fractal_dimension(dr=None): estimates the cluster's fractal dimension by fitting the number of particles :math:`n` in spheres of growing radius around the cetner of mass to :math:`c*r_g^d`, where :math:`r_g` is the radius of gyration of the particles witin the sphere, and :math:`d` is the fractal dimensoin. `dr`: Minimum increment for the radius of the spheres. Return value: (fractal_dimension, mean_square_residual) """ _so_name = "ClusterAnalysis::Cluster" _so_bind_methods = ("particle_ids", "size", "longest_distance", "radius_of_gyration", "fractal_dimension", "center_of_mass") _so_creation_policy = "LOCAL"
[docs] def particles(self): return ParticleSlice(self.particle_ids())
[docs]@script_interface_register class ClusterStructure(ScriptInterfaceHelper): """Cluster structure of a simulation system, and access to cluster anaylsis Attributes ---------- pair_criterion: Instance of PairCriterion or derived classes Criterion to decide whether two particles are neighbors. clusters: behaves like a read-only dictionary Access to individual clusters in the cluster structure either via cluster[i], wher i is a (non-consecutive) integer cluster id or via iteration: for pair in clusters: where pair contains the numeric id and the corresponding cluster object. """ _so_name = "ClusterAnalysis::ClusterStructure" _so_creation_policy = "LOCAL" def __init__(self, *args, **kwargs): super(type(self), self).__init__(*args, **kwargs) self._clusters = Clusters(self)
[docs] def run_for_all_pairs(self): """ Runs the cluster analysis, considering all pairs of particles in the system """ return self.call_method("run_for_all_pairs")
[docs] def run_for_bonded_particles(self): """ Runts the cluster analysis, considering only pairs of particles connected ba a pair-bond. """ return self.call_method("run_for_bonded_particles")
[docs] def clear(self): """ Clears the cluster structure. """ return self.call_method("clear")
[docs] def cluster_ids(self): """returns a list of all cluster ids of the clusters in the structure """ return self.call_method("cluster_ids")
[docs] def cid_for_particle(self, p): """Returns cluster id for the particle (passed as ParticleHandle or particle id)""" if isinstance(p, ParticleHandle): return self.call_method("cid_for_particle", pid=p.id) if isinstance(p, int): return self.call_method("cid_for_particle", pid=p) else: raise TypeError( "The particle has to be passed as instance of Particle handle or as an integer particle id")
@property def clusters(self): """Gives access to the clusters in the cluster structure via an instance of :any:`Clusters`.""" return self._clusters
[docs]class Clusters(object): """Access to the clusters in the cluster structure. Access is as follows: * Number of clusters: len(clusters) * Access a cluster via its id: clusters[id] * Iterate over clusters::: for c in clusters: where c will be a tuple containing the cluster id and the cluster object """ def __init__(self, cluster_structure): self.cluster_structure = cluster_structure def __getitem__(self, cluster_id): return self.cluster_structure.call_method("get_cluster", id=cluster_id) def __iter__(self): for cid in self.cluster_structure.cluster_ids(): yield (cid, self.cluster_structure.call_method("get_cluster", id=cid)) def __len__(self): return self.cluster_structure.call_method("n_clusters")